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llort · 2 years ago

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Here is the list of frames and perspective to keep in mind generating US Projects

This is not really a comprehensive list of all the cognitive technologies I have developed and utilize but it will hopefully give a sort of insight into why I seem to be absolutely batshit sometimes

AAMP – Attentional Awareness Model Perception

Awareness of focus subjective substrate

Awareness of foci of focus

Awareness of circumstantial NWF correlates emergent in conscious awareness

Allocentric

Exocentric

Egocentric

EISOA

External |Objective/Subjective/Abstract

Internal | Objective/Subjective/Abstract

-6 Continuous Homology Recursive Base Reality?

-5 Planc Quantized Wireframe

-4 Subatomic Interactions

-3 Electron Orbitals

-2 Biochemical Interactions

-1 Neurological Activity

0 Perception Input and basic awareness/dispersibility

[xn State of dissociation of whatever perceptual order or unconsciousness/dreaming]

1 Awareness of perception and SV

2 Awareness of perception in context or awareness of awareness

3 Awareness of self, regarding one's cognitive topography

4 Aware of a disruptive axiomatic shift recursively impacting various areas and fidelity of one's consciousness

5 Aware of a fundamental change in perception or PMC affecting POV. Shift in paradigm

Xa Intrapersonal models

Xb Allocentric models

Xc Global and Orbital Cyberphysical Memetogeographic Space

Xd Cosmology

Xe Uber Universes/5D+ EGC splines (ego/exo/allo) centric/ totality of EISOA over CT0-9

Xf Fully elucidated Abstract Reality

[+y]/3, 6

{Ontology

Philosophy Logic Maths

Physics Chemistry Biology Earth Science

Self-Organization Cellular Automaton, Mind, VSM

Human, Human Brain and Body, Human Condition, Skill

Engineering Statistics Knowledge

Systems Science, Cybernetics, Psychology

Language and Linguistics

Outline of Self, Self-Schema, Personal Life

Intelligence, AI, Conceptual Model

Health, Technology

Law, Business, Alternate Reality Game, HUMIT

Culture, Reality)}

01 S (Second) -> (CT0) [Incorporating approximations of smallest length of cognitive latency]

02 M (Meter) -> (One Relative MR Length)

03 Kg (Kilogram) -> (Vividness of MR Qualia/Intensity of Focus/Attention)

04 A (AMPERE) - > (Spontaneous Fluidity of Emergent Properties/Associations))

05 K (Kelvin) -> (Stability and Half Life of MR Entity)

06 m (Mol) -> ( n=(Amount of Nodes, Edges, Planes, Modules, and Axioms) present in a n)

07 cd (Candela) -> (Prominence of Focus of Pure MR over External Subjective Reality Sensory Input)

Emergent Meta Awareness

1 IO - Internal Objective

2 IS - Internal Subjective

3 IA - Internal Abstract

4 EO - External Objective

5 ES - External Subjective

6 EA - External Abstract

+z 1 Active (Right Now)

+z 1 Sense, Attention and Action (Non-selective/Selective and/or Undirected/Directed Attention)

-z 2 Perceiving, Observing, and Introspection

-x 3 Logic, Axioms and Experimentation, ISR

+x 4 Describing, Modeling and MR

-y 5 CBT, Modeling, Working Memory, Mnemonics and Schedule

+y 6 Specific Thinking, Frames Application and Management (Inter branch/Sub Branch)

-z 2 Personal

+z 1 All Current Conscious Perception and Immutable CT's

-z 2 Narrative, Identity Management, Frames

-x 3 R4

+x 4 Beliefs, Values, Hopes, Ethics, Dreams

-y 5 Memory, Mnemonics, Autoepisodic, Encoding and Recall

+y 6 Consciousness Models, Influencers and CT Management

-x 3 Planning and Logic

+z 1 Dynamic Planning and Situational Awareness

-z 2 Skills and Technical Application/Adaption

-x 3 Active Goals and Projects

+x 4 Habits/Predispositions/Routines/Baselines (SETS Blooms, Taxonomy) and limitations, Re (self imposed and/or Real Boundaries), Frames and Physiological/Psychological Patterns

-y 5 Resource Management

+y 6 Ideas or Future Goals and Projects

+x 4 Systems, Communications and Creative

+z 1 Observance and Interaction with Systems Associated and Context Awareness

-z2 Persona and Ego Management

-x 3 Social and Communication, Systems Identification/Interaction/Alteration/Mechanisms Options, Sets

+x 4 MR

-y 5 Communication and Language Management, Social Analysis and Responses

+y 6 Language, Ontology and Frame Engineering

-y 5 Health

+z 1 Physical Health

-z 2 Mental Health

-x 3 Self Management and Contingencies

+x 4 State of Other Systems

-y 5 Applied Mindful Meditation, Self Awareness and Reality Checking

+y 6 Cognitive Health

0,0,0 9 Strategic

+y 6 Knowledge

+z 1 Technology

-z 2 Philosophy

-x 3 Engineering

+x 4 General/Cultural

-y 5 Frameworks

+y 6 Science

6, 0, 9 (HISE)

+z 1 Active Use and Applications/Implications

-z 2 Personal Relevance (Meanings, Values), Memorizing and Facts of Interest

-x 3 Fact Analysis, Information Management, Concepts, Calculations and Mnemonic framework

+x 4 Cross Branch/Subject Integration, Research, Development, Projects and Communication

-y 5 Administrative, Housework, Maintenance and Self care

+y 6 Learning, Hypothetical and Theoretical

0, 0, 0 Ground Zero

+z 1 Mindmap Practice

-z 2 Undefined... (and/or((x))

-x 3 Useful, productive, efficient or divergent heuristics (BH)

+x 4 Alternative Mindmap Development

-y 5 Mindmap Contingencies

+y 6 EMA Curation

Experiment 0001 Perspective Theory

Experiment 0002 RTS MR

Experiment 0003 TSEC Vision

Experiment 0004 Personas, Identity, and Narration

Experiment 0005 Evolutionary OMA7

Experiment 0006 Passive CAMQ and Autonomy

Experiment 0007 Codification

Experiment 0008 (8 Contingencies

Experiment 0009 MicroMindlab

Experiment 0010 Plato's Mind Palace

Experiment 0011 Godel's Infinite Chewing Gum

Experiment 0012 Project Autonomy

Experiment 0013 OMA7

Experiment 0014 Mind Canon

Experiment 0015 NAOI

Experiment 0016 TAE

Experiment 0017 Elucidating Actualization

Experiment 0018 Memex

Experiment 0019 PremtivMR

Experiment 0020 Dramata Reconstructive

Experiment 0021 Deep Thunk

Experiment 0022 Holistic Construction

Experiment 0023 TSeCIV

Experiment 0024 LoUtrix

Experiment 0025 Hyperbolic PMC Actualizing D-progression

Experiment 0026 Blue Wave

Experiment 0027 ARP experiment of JMC

Experiment 0028 Further back and/or forward into Possible Universes

Experiment 0029 Beyond the Hydrogen Model

Experiment 0030 Cartesian Drawing

Experiment 0031 Deus Ex Sight

Experiment 0032 Alternate PQ

Experiment 0033 PQ 8)

Experiment 0034 Self Structed Holistic HISE Regarding JMC

Experiment 0035 IO Emergence

Experiment 0036 EUGENE Actualization

Experiment 0037 Fractal Cosmic Regression

Experiment 0038 Pure MR Practice, Enaction, and Simulation

Experiment 0039 Axiomatic Assembly

Experiment 0040 Adversarial Chewing Gum Generation

Experiment 0041 Tangibility QnQ for CA/CB

Experiment 0042 Chewing Gum Loading Dock

Experiment 0043 Ultima Synthetic Qualia

Experiment 0044 Black Box

Experiment 0045 Non Gestalt MR

Experiment 0046 DRD4 Entraining

Experiment 0047 HISE Cellular Automata

Experiment 0048 DRD4/AE MM Memex

Experiment 0049 TSeCIVii

Experiment 0050 Embedding UJS in NWC

It is a bit tiring :)

#unsignificant sentience #psychology #mind palace #cybernetics #mind map #philiosophy

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mrkeu · 4 years ago

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What is a Data Lake?

A data lake refers to a central storage repository used to store a vast amount of raw, granular data in its native format. It is a single store repository containing structured data, semi-structured data, and unstructured data.

A data lake is used where there is no fixed storage, no file type limitations, and emphasis is on flexible format storage for future use. Data lake architecture is flat and uses metadata tags and identifiers for quicker data retrieval in a data lake.

The term “data lake” was coined by the Chief Technology Officer of Pentaho, James Dixon, to contrast it with the more refined and processed data warehouse repository. The popularity of data lakes continues to grow, especially in organizations that prefer large, holistic data storage.

Data in a data lake is not filtered before storage, and accessing the data for analysis is ad hoc and varied. The data is not transformed until it is needed for analysis. However, data lakes need regular maintenance and some form of governance to ensure data usability and accessibility. If data lakes are not maintained well and become inaccessible, they are referred to as “data swamps.”

Data Lakes vs. Data Warehouse

Data lakes are often confused with data warehouses; hence, to understand data lakes, it is crucial to acknowledge the fundamental distinctions between the two data repositories.

As indicated, both are data repositories that serve the same universal purpose and objective of storing organizational data to support decision-making. Data lakes and data warehouses are alternatives and mainly differ in their architecture, which can be concisely broken down into the following points.

Structure

The schema for a data lake is not predetermined before data is applied to it, which means data is stored in its native format containing structured and unstructured data. Data is processed when it is being used. However, a data warehouse schema is predefined and predetermined before the application of data, a state known as schema on write. Data lakes are termed schema on read.

Flexibility

Data lakes are flexible and adaptable to changes in use and circumstances, while data warehouses take considerable time defining their schema, which cannot be modified hastily to changing requirements. Data lakes storage is easily expanded through the scaling of its servers.

User Interface

Accessibility of data in a data lake requires some skill to understand its data relationships due to its undefined schema. In comparison, data in a data warehouse is easily accessible due to its structured, defined schema. Many users can easily access warehouse data, while not all users in an organization can comprehend data lake accessibility.

Why Create a Data Lake?

Storing data in a data lake for later processing when the need arises is cost-effective and offers an unrefined view to data analysts. The other reasons for creating a data lake are as follows:

The diverse structure of data in a data lake means it offers a robust and richer quality of analysis for data analysts.

There is no requirement to model data into an enterprise-wide schema with a data lake.

Data lakes offer flexibility in data analysis with the ability to modify structured to unstructured data, which cannot be found in data warehouses.

Artificial intelligence and machine learning can be employed to make profitable forecasts.

Using data lakes can give an organization a competitive advantage.

Data Lake Architecture

A data lake architecture can accommodate unstructured data and different data structures from multiple sources across the organization. All data lakes have two components, storage and compute, and they can both be located on-premises or based in the cloud. The data lake architecture can use a combination of cloud and on-premises locations.

It is difficult to measure the volume of data that will need to be accommodated by a data lake. For this reason, data lake architecture provides expanded scalability, as high as an exabyte, a feat a conventional storage system is not capable of. Data should be tagged with metadata during its application into the data lake to ensure future accessibility.

Below is a concept diagram for a data lake structure:

Data lakes software such as Hadoop and Amazon Simple Storage Service (Amazon S3) vary in terms of structure and strategy. Data lake architecture software organizes data in a data lake and makes it easier to access and use. The following features should be incorporated in a data lake architecture to prevent the development of a data swamp and ensure data lake functionality.

Utilization of data profiling tools proffers insights into the classification of data objects and implementing data quality control

Taxonomy of data classification includes user scenarios and possible user groups, content, and data type

File hierarchy with naming conventions

Tracking mechanism on data lake user access together with a generated alert signal at the point and time of access

Data catalog search functionality

Data security that encompasses data encryption, access control, authentication, and other data security tools to prevent unauthorized access

Data lake usage training and awareness

Hadoop Data Lakes Architecture

We have singled out illustrating Hadoop data lake infrastructure as an example. Some data lake architecture providers use a Hadoop-based data management platform consisting of one or more Hadoop clusters. Hadoop uses a cluster of distributed servers for data storage. The Hadoop ecosystem comprises three main core elements:

Hadoop Distributed File System (HDFS) – The storage layer whose function is storing and replicating data across multiple servers.

Yet Another Resource Negotiator (YARN) – Resource management tool

MapReduce – The programming model for splitting data into smaller subsections before processing in servers

Hadoop supplementary tools include Pig, Hive, Sqoop, and Kafka. The tools assist in the processes of ingestion, preparation, and extraction. Hadoop can be combined with cloud enterprise platforms to offer a cloud-based data lake infrastructure.

Hadoop is an open-source technology that makes it less expensive to use. Several ETL tools are available for integration with Hadoop. It is easy to scale and provides faster computation due to its data locality, which has increased its popularity and familiarity among most technology users.

Data Lake Key Concepts

Below are some key data lake concepts to broaden and deepen the understanding of data lakes architecture.

Data ingestion – The process where data is gathered from multiple data sources and loaded into the data lake. The process supports all data structures, including unstructured data. It also supports batch and one-time ingestion.

Security – Implementing security protocols for the data lake is an important aspect. It means managing data security and the data lake flow from loading, search, storage, and accessibility. Other facets of data security such as data protection, authentication, accounting, and access control to prevent unauthorized access are also paramount to data lakes.

Data quality – Information in a data lake is used for decision making, which makes it important for the data to be of high quality. Poor quality data can lead to bad decisions, which can be catastrophic to the organization.

Data governance – Administering and managing data integrity, availability, usability, and security within an organization.

Data discovery – Discovering data is important before data preparation and analysis. It is the process of collecting data from multiple sources and consolidating it in the lake, making use of tagging techniques to detect patterns enabling better data understandability.

Data exploration – Data exploration starts just before the data analytics stage. It assists in identifying the right dataset for the analysis.

Data storage – Data storage should support multiple data formats, be scalable, accessible easily and swiftly, and be cost-effective.

Data auditing – Facilitates evaluation of risk and compliance and tracks any changes made to crucial data elements, including identifying who made the changes, how data was changed, and when the changes took place.

Data lineage – Concerned with the data flow from its source or origin and its path as it is moved within the data lake. Data lineage smoothens error corrections in a data analytics process from its source to its destination.

Benefits of a Data Lake

A data lake is an agile storage platform that can be easily configured for any given data model, structure, application, or query. Data lake agility enables multiple and advanced analytical methods to interpret the data.

Being a schema on read makes a data lake scalable and flexible.

Data lakes support queries that require a deep analysis by exploring information down to its source to queries that require a simple report with summary data. All user types are catered for.

Most data lakes software applications are open source and can be installed using low-cost hardware.

Schema development is deferred until an organization finds a business case for the data. Hence, no time and costs are wasted on schema development.

Data lakes offer centralization of different data sources.

They provide value for all data types as well as the long-term cost of ownership.

Cloud-based data lakes are easier and faster to implement, cost-effective with a pay-as-you-use model, and are easier to scale up as the need arises. It also saves on space and real estate costs.

Challenges and Criticism of Data Lakes

Data lakes are at risk of losing relevance and becoming data swamps over time if they are not properly governed.

It is difficult to ensure data security and access control as some data is dumped in the lake without proper oversight.

There is no trail of previous analytics on the data to assist new users.

Storage and processing costs may increase as more data is added to the lake.

On-premises data lakes face challenges such as space constraints, hardware and data center setup, storage scalability, cost, and resource budgeting.

Popular Data Lake Technology Vendors

Popular data lake technology providers include the following:

Amazon S3 – Offers unlimited scalability

Apache – Uses Hadoop open-source ecosystem

Google Cloud Platform (GCP) – Google cloud storage

Oracle Big Data Cloud

Microsoft Azure Data Lake and Azure Data Analytics

Snowflake – Processes structured and semi-structured datasets, notably JSON, XML, and Parquet

More Resources

To keep learning and developing your knowledge base, please explore the additional relevant resources below:

Business Intelligence

Data Mart

Scalability

Data Protection

#datalake

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positivepsychologytraining-blog · 5 years ago

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Positive Psychology and Coaching

There are several psychological approaches one can take for a coaching session or coaching in general. Behavioural coaching, cognitive behavioural coaching, psycho dynamic approach and NLP (neuro linguistic programming) are such known approaches for coaching. Positive psychology is another contemporary approach for coaching preferred by many psychologists and coaches in the world today.

Seligman and Csikszentmihalyi (2000) defined positive psychology as 'the scientific study of optimal human functioning'. It involves with positive subjective experiences, positive individual traits, and positive institutions. Valued subjective experiences include well-being, satisfaction, and contentment (in the past), hope and optimism (for the future) and flow and happiness (in the present). At the individual level, it is about positive individual traits, such as capacity for love and vocation, courage, aesthetic sensibility, interpersonal skills, perseverance, forgiveness, originality, future mindedness, spirituality, talent and wisdom. At the group level, it is about civic virtues and institutions that move individuals towards better citizenship such as responsibility, nurturance, altruism, civility, tolerance and work ethics.

Consistent with its guiding principles, findings from positive psychology research are now beginning to be applied across multiple domains and most importantly for the benefit of the individuals who reside along the points of mental health continuum. This includes not only those who seek relief from psychological distress and mental illness which is the traditional focus of psychology, but also those who seek optimal levels of personal functioning and wellbeing.

The outcome of interest to positive psychology may be defined as those subjective social and cultural states that characterise a 'good life'. Here we may think of factors such as happiness, wellbeing, fulfilment and health (at the subjective level), positive communities, institutions that foster good lines (at the interpersonal level) and political, economical and environmental policies that embrace diversity and promote harmony (citizenship) and sustainability (at the social level). Get More Info Masters in positive psychology online

Having understood the basics of positive psychology, it is now important to consider the possible integration of positive psychology and coaching.

Coaching can be defined as the process of support offered to an individual which is performance focused, and goal centred and results in action (Law, Ineland & Hussain 2007). Coaching can be done with individuals, teams, and organizations with the intention of helping the client to see options for becoming more effective. When it comes to individuals, It involves unlocking a person's potential to maximize his/ her own performance. As this explanation makes it clear, the general interest of positive psychology resonate with the general aims of coaching in practice.

The aim of the coaching is to focus on the strength of character and personality that makes the "good life" possible. Strengths conceived in this way seems an excellent component of coaching framework and so it is unsurprising that one of the newest waves of coaching is based on positive psychology. The central concern of this approach is that coaching should focus on the coachee's strengths and values rather than weaknesses. The coach should consider coachee's taxonomy of strength and determine how these strengths are (or are not) being used by the organization. Building strength is an effective means of increasing performance & job functionality.

Positive emotions are another important topic on the positive psychology. Because positive emotions work on optimal wellbeing, people can experience positive emotions such as joy, interest, contentment and love and when these emotions are present, sadness, anger and anxiety tend to be absent.

Emotional competence offers insights into our own personal development in fairly natural way without speed training. When an individual is guided to develop self-regulation, self-monitoring and focus on non-distressing aspect of the situation in question, emotions like anger, depression, anxiety, can be well managed. Helping clients manage their emotions and begin develop emotional competence are another important aims of coaching.

Yet another interesting concept discussed in positive psychology which can be easily applied in coaching practice is concept of 'Flow'. Csikszentmihalyi (1991) defined 'flow' as 'the psychology of optimal human experience'. It is a state where the person become utterly absorbed in the task to the extent that he/she loses the track of time and the study of flow has obvious potential use by executive coaches. Being in flow enables individuals to focus on tasks more fully and to maximize performance. As this phenomenon results in pleasure being experienced whilst mastery is gained, it can be a natural aid to goal oriented activities such as coaching.

Positive psychology has a great deal of promise in the area of coaching. These two areas seems to become intertwined. Certainly positive psychology has shifted the way in which psychologists and clients work with each other as well as broadened the context of that involvement.

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kellykwaller-blog · 5 years ago

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Day 1

Session: 1

Timothy Shanahan- Reconceptualizing Reading and Reading Instruction

Big Idea

In this presentation Shanahan challenged the belief that reading is based upon a set of skills that we can evaluate via asking questions (e.g. find the main idea, make a prediction, compare/contrast). He brings up the notion that the “skills” that are typically addressed in standards and standardized testing are not truly able to be evaluated and do not actually assess a students ability to read. He presented a study that evaluated the correlation between student ACT scores and the types of questions asked and it found no difference between types of questions. Differentiation did however emerge when difficulty of texts were taken into account.

How I can apply it

Remind teachers that the standards are not simply a check list of lessons to teach. The standards should appear congruently with rigorous content acquisition and focus on the 5 components of reading: phonics, phonemic awareness, fluency, vocabulary, and comprehension. While we want students to be able to find a main idea or be able to compare and contrast two ideas, they will ultimately not be able to do this if they do not have a firm grasp on the Five Components of Reading. Now, as texts become more complex, teachers have to ensure that students have an opportunity to learn challenging new vocabulary, connect to relevant background knowledge, and engage in meaningful discussion or writing following reading.

Session: 2

Jan Hasbrook-”Reading Fast is the Goal. Right? Let’s Revisit Reading Fluency and ORF

Big Idea

Dr. Hasbrook focuses her work on identifying and teaching fluency in schools. She defines fluency as reasonably accurate reading, of appropriate rate, with suitable expression that leads to deep comprehension and motivation. She broke down how each part of this definition works together to create the full skill of fluency. Hasbrook then addresses common misconceptions about fluency, specifically that ORF (oral reading fluency) is able to identify student fluency on its own. ORF is a tool that can and should be used as an indicator of fluency and overall comprehension but doesn't not function in isolation,

How I can apply it

We have recently been considering how we can better identify and support students in secondary schools with reading comprehension. ORF was an idea we had been considering and now I can identify the research to support it. Research stated in the presentation demonstrated the correlation between the Woodcock-Johnson reading comprehension test and ORF to be .91%. This is extremely high in the world of education. If all schools were able to give students an ORF to help identify students who are most likely to be struggling with reading comprehension, they would be better able to provide Tier 2 instructional support.

Session: 3

Timothy Shanahan- Teaching Students to Read Complex Texts

Big Idea

There has been a long debate between whether texts should be taught at a students instructional level or at grade level. Lots of schools have operated under the idea that students should be met at their individual reading level: this has been debunked. Dr. Shanahan spent the first half of this presentation sharing where the instructional level texts trend came from and then following it with a plethora of studies that have proven it false. Several studies actually show that by having students read at or even above grade level will yield the highest educational growth. Taking this in, he ended his presentation going over how to support students when a teacher is asking them to read something above their individualized reading level also known as a complex text.

How I can apply it

My colleague Rose, Elementary ELA and Literacy Specialist, and I just received this question from a school district leader on Monday of this week. This question of whether texts should be chosen at a student’s reading level versus the grade level is ubiquitous. We want schools to choose grade level texts; however it is our responsibility to provide them with the support to do this successfully. Shanahan talked lots about teaching vocab prior to reaching which is a concept I am already familiar with, but he also addresses identifying complex sentences that might trip up students when they read. I had never really thought about how to do this. He showed how when a sentence may have lots of punctuation or an abnormal syntax, the teacher can break it apart and intentionally show students how that sentence is put together which will help them know how to tackle a similar sentence in the future.

Session: 4

Joan Sedita - Keys to Critical Thinking: Summary and Question Generation

Big Idea

This presentation focused on how to use summarization and question generation to develop stronger critical thinking skills. Sedita spent a lot of time explaining the importance of summary writing across all different disciplines. She really addresses how different summarization ideas are in comparison to other writing activities when placed on to Bloom’s Taxonomy. The step-by-step process that teachers should follow for quality summary development was shared as well as lots of different resources to utilize as a template for students. She finished up her presentation addressing the importance of question generation. She shared how questions, when worded differently, can reach the different levels of Bloom’s. She provided lots of different examples to show questions across different grades and subject areas.

How I can apply it:

I found a lot of overlap in this presentation with the book study we are leading at IDOE using The Writing Revolution. There are some sources that were shared in this presentation that would pair well with TWR strategies. For example, she provided different transition words and in which contexts you would use them. I had never seen a chart organize transition words in that way which is very helpful. Also she shared different ways she has seen teachers in various disciplines incorporate higher level questioning into their classrooms. These are strategies I am eager to share with schools who are looking to improve the critical thinking skills of their students in all classrooms.

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cpmgt304team2-blog · 6 years ago

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Enhancing Team Creativity

According to Naiman (2019), “Creativity is the act of turning new and imaginative ideas into reality” (para. 1). Creativity is the key to problem solving and adaptability; it is therefore essential to the success of project teams. This blog post will discuss how creativity can best be measured, as well as the four conceptual domains into which new ideas may be classified. In addition, we interviewed twelve professionals to obtain their input on how creativity and teamwork are related, potential threats and roadblocks to team creativity, and ways in which it may be enhanced. Our findings are summarized below.

Measuring Creativity

There are many ways to measure creativity, four of which will be explored here: the Guilford measure, the taxonomy of creative design, the requirements model, and Csikszentmihalyi’s model.

Guilford’s method measures the creativity of an individual based on a response to a multiple-choice question (Silvia, et al., 2008). Based on the chosen response, creativity may be measured in terms of fluency, flexibility, originality, and elaboration. Taxonomy of creative design measures the creativity of a work compared to others. The work may be classified in one of five categories. Imitation refers to a replication of previous work, while variation represents a the former with only minor modifications. Combination brings together ideas from two or more works, while transformation translates a work from one medium to another. Original creation, as the name implies, is a unique work. These classifications reveal how much originality creativity of thought and execution went into each bit of work (Brookhart, 2010 & Nilsson, 2012).

The requirements model measures the results of work against specific requirements. If there are criteria to be met on the project, then the work that has been done is compared to these criteria to determine the level of creativity displayed. Though it may seem difficult to measure the level of creativity achieved, when one considers that creativity is a requirement to achieve the required value, it is not difficult to measure (Nilsson, 2012).

Csikszentmuhalyi’s model is used to measure social value of the creative work. The creative value of a work is determined by the relationship between the person (individual, group, or body of work), the domain (the area of knowledge), and the field (the authorities who will judge the work). Creative strength is marked by the value that the field assigns to the person within a given domain (Csikszentmihalyi, 1997 & Nilsson, 2012).

The principles of measuring individual creativity also apply to measuring the creativity of teams, insofar as the team’s creativity is determined by that of its members. However, a successful team achieves synergy: its overall strengths exceed the strengths of the sum of its parts. A team’s ability to adapt to new situations and challenges with unique solutions can be used to measure its collective creativity.

Classifying Ideas Within the Four Creative Domains

New ideas may be classified as realistic (rooted in current knowledge) or idealistic (disconnected from current ideas or knowledge). They can be further classified into four domains (Thompson, 2003).

Creative realism: Ideas are highly original and imaginative, yet firmly connected to current ideas.

Conservative realism: Traditional ideas strongly connected to current ones.

Creative idealism: Highly original, yet unrealistic ideas (connected loosely or not at all to current ideas and structures).

Conservative idealism: Unoriginal ideas which are also unrealistic.

Teams should strive for creative realism, since it results in inventive problem-solving with achievable results. It is rooted in collaborative work and expediency, rather than individuals working alone at a slower pace. In addition, teams that exhibit creative realism tend to work incrementally, building on their ideas in a dynamic project environment. According to Tsue (2017), “Creative Realism is a process of small strategic and creative increments done together” (para. 4). Shared drives and cloud platforms are excellent tools for encouraging creative idealism. These platforms allow team members continuous shared access to files, enabling them to stay up to date and collaborate effectively. This boosts productivity, allowing for faster results.

Many fields, such as engineering and law, are still largely rooted in conservative realism. This is understandable given the structure required. However, as conservative realism is lacking in imaginative variance, it is unlikely to lead a team to excel in a project environment (Rughase, 2006).

Threats to Creativity

There are several factors which can threaten team creativity. The first is the makeup of the team itself. In the case of dysfunction (where the members drastically think differently), they will likely be unwilling to accept new ideas; this will inhibit the team’s ability to collaborate, be productive and efficient. Another threat to creativity is complacency. Fear of the deviating from the comfort of the status quo may result in a lack of creative ideas. Of the project professionals interviewed for this piece, most cited conflicting ideas within the team, risk aversion, resistance to change, and fear of judgement of ideas as major roadblocks to creativity. In addition, poor communication or communications limitations can be a major inhibitor of creativity.

Project leadership also has a major impact on team creativity. Project managers who attempt to exert excessive control or micromanage can severely curtail their teams’ creativity. As the Forbes Coaches Council (2017) stated, “To learn to fly we have to test our wings, and give a chance to test and try new things.” It is important that team members have the freedom to explore their creative minds, and be empowered to achieve their own successes. Failure to allow this can hinder future creative sessions. Curiosity must be encouraged, as the curious mind may open doors to a world of options. Those who play it safe and aren’t open to new ideas will stifle their team’s creativity.

Recommendations for Enhancing Team Creativity

An organization’s values and culture should encourage and inspire team members to think creatively when solving problems or making decisions. There are many practices an organization can adopt in team environments to promote cohesiveness. Learning from the past is an excellent way to identify the positive and negative impacts of past choices. Building upon lessons learned allows for the development of creative solutions, as does bringing in resources with the expert knowledge to teach more efficient methods. In addition, team building activities are essential to forming interpersonal bonds between colleagues and developing team dynamics. Clear communication and comprehension amongst team members promotes an overall cohesive and understanding environment.

Teams often face issues or problems which require creative thinking to resolve. When assembling a team, it is important not only to select those with the proper experience and skill sets, but to ensure diversity. People have different perspectives determined by their background and experiences, which naturally provide unique approaches to solving problems. Once the team has been assembled, a culture should be established to persuade the team members to think with analogical reasoning, or “thinking outside the box” using non-traditional ideas when necessary. Diversifying the team and encouraging this type reasoning is likely to elevate the level of creativity significantly.

When we asked our twelve project professionals for their thoughts on how to enhance creativity, they emphasized the importance of encouraging the sharing of ideas – for instance, with brainstorming sessions or open-forum meetings. Several noted that it is vital not to pass immediate judgement on any idea, and to reward successes. In addition, some interviewees recommended using an iterative approach to continuously build on creative solutions.

Conclusion

Fostering creativity is perhaps the single most important action that organizations and project leaders should take to enhance the performance of project teams. Creativity is directly related to both individuals’ and teams’ ability to solve problems effectively and adapt to new challenges. Team creativity can be measured in a number of ways, and project leaders should aspire to foster creative realism. Awareness of common threats to creativity, as well as effective ways to enhance it, equips a project manager for success. The organization that makes nurturing creativity central to its culture will have happier and more productive project teams, as well as an increased rate of project success.

References

Csikszentmihalyi, M. (1997). CREATIVITY: Flow and the psychology of discovery and invention. Retrieved from http://vedpuriswar.org/Book_Review/Leadership_Managerial_Effectiveness/Creativity.pdf

Brookhart, S.M. (2010) How to Assess Higher-Order Thinking Skills in Your Classroom. Alexandria, VA: ASCD. Retrieved from http://www.senseandsensation.com/2012/03/assessing-creativity.html#!/2012/03/assessing-creativity.htmlhttp://www.cala.fsu.edu/files/higher_order_thinking_skills.pdfhttp://www.ascd.org/publications/educational-leadership/feb13/vol70/num05/Assessing-Creativity.aspx

Forbes Coaches Council. (2017, December 21). 15 Ways Leaders Can Promote Creativity In The Workplace. Retrieved from https://www.forbes.com/sites/forbescoachescouncil/2017/12/21/15-ways-leaders-can-promote-creativity-in-the-workplace/#67447fd558ef

Naiman, L. (2019). What is Creativity? (And why is it a crucial factor for business success?). Retrieved from https://www.creativityatwork.com/2014/02/17/what-is-creativity/

Nilsson, P. (2012, March 24). Four Ways to Measure Creativity. Retrieved from http://www.senseandsensation.com/2012/03/assessing-creativity.html

Rughase, O. G. (2006). Identity and Strategy: How Individual Visions Enable the Design of a Market Strategy That Works. Gloucestershire, England: Edward Elgar Publishing.

Silvia, P. J., Winterstein, B. P., Willse, J. T., Barona, C. M., Cram, J. T., Hess, K. I., Martinez, J. L., & Richard, C. A. (2008). Assessing creativity with divergent thinking tasks: Exploring the reliability and validity of new subjective scoring methods. Psychology of Aesthetics, Creativity, and the Arts, 2(68-85). http://dx.doi.org/10.1037/1931-3896.2.2.68

Thompson, L. (2003). Improving the creativity of organizational work groups. Academy of Management Executive, 17(1), 96–109. https://doi.org/10.5465/AME.2003.9474814

Tsue, E. (2017). A Call for ‘Creative Realism’: How to put results above all else in the creative process. Retrieved from https://medium.com/@edtsue/a-call-for-creative-realism-4d2677eeec76

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evoldir · 4 years ago

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Fwd: Job: MfN_Berlin.3.ArthropodSpeciesDiscovery

Begin forwarded message: > From: [email protected] > Subject: Job: MfN_Berlin.3.ArthropodSpeciesDiscovery > Date: 16 December 2021 at 05:41:54 GMT > To: [email protected] > > > Job announcement: 3 tenure-track research positions with a focus on > species discovery and taxonomy of hyperdiverse arthropod clades at the > Center for Integrative Biodiversity Discovery, Museum fuer Naturkunde > (MfN) Berlin, Germany > > https://ift.tt/3J5zb8z > > The opportunity: > The Museum fuer Naturkunde Berlin has an internationally visible Center > for Integrative Biodiversity Discovery. It will meet the scientific and > societal challenges arising from rapid worldwide ecosystem change, not > least the global biodiversity crisis, and capitalise on the chances and > innovations from biodiversity. The Center will develop new scientific > approaches to the study of biodiversity that will contribute to a more > efficient and significantly faster global biodiversity inventory. At > the same time it will enable high-quality taxonomic research on extinct > and recent organisms and develop targeted knowledge products for various > user groups. > > We are seeking three talented and motivated biodiversity researchers > (f/m/d) with a focus on methods to develop and support the new Center > for Integrative Biodiversity Discovery at the Museum fuer Naturkunde > Berlin Leibniz Institute for Evolution and Biodiversity Science. To > this purpose, the successful candidates will take a leading role in the > development of innovative methods for species discovery and apply them > to the taxonomy of hyperdiverse arthropod clades. The research should > be embedded in the program of the Center for Integrative Biodiversity > Discovery and involve engagement in grant applications as well as > training and supervision of students and junior researchers. We also > expect active participation in public outreach activities of the > museum about biodiversity and biodiversity discovery. A particular > focus of the Center is to develop new ways for the automatic discovery > and description of species. For this purpose we combine biodiversity > robotics with ?DNA barcoding and machine learning so that invertebrates > can also be automatically identified by image in the future (see > https://ift.tt/3GK4aVu). > > The Museum fuer Naturkunde Berlin provides an excellent research > environment. It houses state-of-the-art laboratories for morphology > (including histology, imaging, SEM, and CT labs), molecular > genetics/genomics and computation. Numerous research groups are working > in a wide range of research fields including population genetics, > phylogenetics, developmental and evolutionary genetics, and taxonomy. Our > world-class zoological collections provide unique access to specimens > collected over the last 200+ years. > > Requirements: > PhD or PhD candidate in zoology with a significant publication record > in collection-based biodiversity research on hyperdiverse terrestrial > or limnic arthropod clades that are ideally dark taxa (clades where > <10% of all species are described and the estimated diversity is >1000 > species). The successful candidates must have described new species in > dark taxa and should have experience in developing innovative research > approaches to taxonomy that combine high-throughput sequencing and > morphological data. Demonstrated experience in working on international > research projects and obtaining third-party funding. Field work > experience, preferably also in larger collaborative projects and > willingness to participate in research in one of MfN's geographic > focus regions (e.g., Southeast Asia, Africa) are expected. Successful > candidates will be expected to work in an interdisciplinary environment > at Germany's largest natural history museum. Excellent team player, > proven communication skills and intercultural competence. Professional > written and verbal communication in English. > > Application procedures: > We look forward to receiving your application with the usual documents > (cover letter, curriculum vitae, certificates) as well as a statement > (one page max.) outlining plans for research at MfN by 31.01.2022, > preferably via our online application portal. > > In support of equal rights applications from qualified women are > particularly welcome. Handicapped individuals will be given preference > in cases of identical qualifications. > > For information on the application procedure, please contact > [email protected] > > > > > > "Blaimer, Bonnie" > via IFTTT

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nuveprotechnologies · 3 months ago

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Nuvepro’s Hands-On Learning: The Future of Skills Taxonomy in IT Training

In the ever-evolving IT landscape, acquiring the right skills is essential for career growth and organizational success. Traditional learning methods often fall short in providing the real-world experience needed to excel in the industry. This is where Nuvepro’s hands-on learning approach and skills taxonomy come into play, ensuring that professionals are equipped with the necessary expertise to meet industry demands.

Hands-On Learning: A Game Changer in IT Training

Hands-on learning, also known as experiential learning, enhances knowledge retention and boosts confidence. Instead of relying solely on theoretical concepts, learners engage in real-world scenarios that help them build practical expertise. Nuvepro offers workforce skilling solutions that emphasize hands-on sandboxes, sandbox environments, and challenge labs to provide immersive, practical training experiences.

Nuvepro’s Sandbox Environments: The Key to Effective Skilling

Nuvepro’s sandbox environments offer a secure, interactive space where professionals can practice their skills without the risk of real-world consequences. These sandboxes are designed for IT job readiness, project readiness, and workforce training programs, ensuring that learners gain hands-on experience through real-life challenges. By integrating these practical training environments, Nuvepro helps learners bridge the gap between theory and execution.

Workforce Skilling Solutions for IT Companies

Nuvepro collaborates with IT companies to design on-the-job training programs tailored to their workforce needs. These programs help organizations upskill and reskill employees efficiently, preparing them to handle industry-specific challenges. With Nuvepro’s hands-on skilling solutions, enterprises can develop a highly skilled, job-ready workforce capable of delivering results from day one.

Project-Based Learning for Job Readiness

One of the key advantages of Nuvepro’s hands-on training is its emphasis on job readiness and project readiness. Unlike traditional training models, which focus only on theoretical knowledge, Nuvepro incorporates real-life scenarios into its programs. This project-based learning approach helps professionals develop problem-solving skills, teamwork, and technical expertise essential for IT careers.

Skills Taxonomy: Structuring Learning for Maximum Impact

Nuvepro’s skills taxonomy provides a structured framework for learning, mapping technical competencies to real-world applications. By categorizing skills based on proficiency levels, job roles, and industry demands, Nuvepro ensures that training programs are aligned with current and future workforce needs. This approach helps both individuals and enterprises track skill progression effectively.

Why Choose Nuvepro for IT Training?

Real-World Experience: Nuvepro’s hands-on training environments provide practical exposure, enhancing learning outcomes.

Customized Learning Paths: Tailored training programs align with industry trends and business goals.

Job-Ready Training: Nuvepro ensures that learners are fully equipped for the IT job market through structured, hands-on learning.

Flexible and Scalable Solutions: Whether for individuals or enterprises, Nuvepro’s skilling programs cater to diverse learning needs.

Conclusion

Nuvepro’s hands-on learning approach is revolutionizing IT training by integrating sandbox environments, project-based learning, and a well-defined skills taxonomy. By focusing on real-world application and structured skill development, Nuvepro empowers professionals and enterprises to stay ahead in the competitive tech industry. Whether you're looking to upskill, reskill, or prepare for an IT career, Nuvepro’s hands-on learning solutions provide the expertise and confidence needed to succeed. Start your learning journey with Nuvepro today and unlock new career opportunities!

#upskilling #handsontraining #skilldevelopment #learningbydoing #reskilling #handsonlearning

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wickedbananas · 7 years ago

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The MozCon 2018 Final Agenda

Posted by Trevor-Klein

MozCon 2018 is just around the corner — just over six weeks away — and we're excited to share the final agenda with you today. There are some familiar faces, and some who'll be on the MozCon stage for the first time, with topics ranging from the evolution of searcher intent to the increasing importance of local SEO, and from navigating bureaucracy for buy-in to cutting the noise out of your reporting.

We're also thrilled to announce this year's winning pitches for our six MozCon Community Speaker slots! If you're not familiar, each year we hold several shorter speaking slots, asking you all to submit your best pitches for what you'd like to teach everyone at MozCon. The winners — all members of the Moz Community — are invited to the conference alongside all our other speakers, and are always some of the most impressive folks on the stage. Check out the details of their talks below, and congratulations to this year's roster!

Still need your tickets? We've got you covered, but act fast — they're over 70% sold!

Pick up your ticket to MozCon!

The Agenda

Monday, July 9

8:30–9:30 am

Breakfast and registration

Doors to the conference will open at 8:00 for those looking to avoid registration lines and grab a cup of coffee (or two) before breakfast, which will be available starting at 8:30.

9:30–9:45 am

Welcome to MozCon 2018! Sarah Bird

Moz CEO Sarah Bird will kick things off by sharing everything you need to know about your time at MozCon 2018, including conference logistics and evening events.

She'll also set the tone for the show with an update on the state of the SEO industry, illustrating the fact that there's more opportunity in it now than there's ever been before.

9:50–10:20 am

The Democratization of SEO Jono Alderson

How much time and money we collectively burn by fixing the same kinds of basic, "binary," well-defined things over and over again (e.g., meta tags, 404s, URLs, etc), when we could be teaching others throughout our organizations not to break them in the first place?

As long as we "own" technical SEO, there's no reason (for example) for the average developer to learn it or care — so they keep making the same mistakes. We proclaim that others are doing things wrong, but by doing so we only reinforce the line between our skills and theirs.

We need to start giving away bits of the SEO discipline, and technical SEO is probably the easiest thing for us to stop owning. We need more democratization, education, collaboration, and investment in open source projects so we can fix things once, rather than a million times.

10:20–10:50 am

Mobile-First Indexing or a Whole New Google Cindy Krum

The emergence of voice-search and Google Assistant is forcing Google to change its model in search, to favor their own entity understanding or the world, so that questions and queries can be answered in context. Many marketers are struggling to understand how their website and their job as an SEO or SEM will change, as searches focus more on entity-understanding, context and action-oriented interaction. This shift can either provide massive opportunities, or create massive threats to your company and your job — the main determining factor is how you choose to prepare for the change.

10:50–11:20 am

AM Break

11:30–11:50 am

It Takes a Village: 2x Your Paid Search Revenue by Smashing Silos Community speaker: Amy Hebdon

Your company's unfair advantage to skyrocketing paid search revenue is within your reach, but it's likely outside the control of your paid search team. Good keywords and ads are just a few cogs in the conversion machine. The truth is, the success of the entire channel depends on people who don't touch the campaigns, and may not even know how paid search works. We'll look at how design, analysis, UX, PM and other marketing roles can directly impact paid search performance, including the most common issues that arise, and how to immediately fix them to improve ROI and revenue growth.

11:50 am–12:10 pm

The #1 and Only Reason Your SEO Clients Keep Firing You Community speaker: Meredith Oliver

You have a kick-ass keyword strategy. Seriously, it could launch a NASA rocket; it's that good. You have the best 1099 local and international talent on your SEO team that working from home and an unlimited amount of free beard wax can buy. You have a super-cool animal inspired company name like Sloth or Chinchilla that no one understands, but the logo is AMAZING. You have all of this, yet, your client turnover rate is higher than Snoop Dogg's audience on an HBO comedy special. Why? You don't talk to your clients. As in really communicate, teach them what you know, help them get it, really get it, talk to them. How do I know? I was you. In my agency's first five years we churned and burned through clients faster than Kim Kardashian could take selfies. My mastermind group suggested we *proactively* set up and insist upon a monthly review meeting with every single client. It was a game-changer, and we immediately adopted the practice. Ten years later we have a 90% client retention rate and more than 30 SEO clients on retainer.

12:10–12:30 pm

Why "Blog" Is a Misnomer for Our 2018 Content Strategy Community speaker: Taylor Coil

At the end of 2017, we totally redesigned our company's blog. Why? Because it's not really a blog anymore - it's an evergreen collection of traffic and revenue-generating resources. The former design catered to a time-oriented strategy surfacing consistently new posts with short half-lives. That made sense when we started our blog in 2014. Today? Not so much. In her talk, Taylor will detail how to make the perspective shift from "blog" to "collection of resources," why that shift is relevant in 2018's content landscape, and what changes you can make to your blog's homepage, nav, and taxonomy that reflect this new perspective.

12:30–2:00 pm

Lunch

2:05–2:35 pm

Near Me or Far: How Google May Be Deciding Your Local Intent For You Rob Bucci

In August 2017, Google stated that local searches without the "near me" modifier had grown by 150% and that searchers were beginning to drop geo-modifiers — like zip code and neighborhood — from local queries altogether. But does Google still know what searchers are after?

For example: the query [best breakfast places] suggests that quality takes top priority; [breakfast places near me] indicates that close proximity is essential; and [breakfast places in Seattle] seems to cast a city-wide net; while [breakfast places] is largely ambiguous.

By comparing non-geo-modified keywords against those modified with the prepositional phrases "near me" and "in [city name]" and qualifiers like "best," we hope to understand how Google interprets different levels of local intent and uncover patterns in the types of SERPs produced.

With a better understanding of how local SERPs behave, SEOs can refine keyword lists, tailor content, and build targeted campaigns accordingly.

2:35–3:05 pm

None of Us Is as Smart as All of Us Lisa Myers

Success in SEO, or in any discipline, is frequently reliant on people's ability to work together. Lisa Myers started Verve Search in 2009, and from the very beginning was convinced of the importance of building a diverse team, then developing and empowering them to find their own solutions.

In this session she'll share her experiences and offer actionable advice on how to attract, develop, and retain the right people in order to build a truly world-class team.

3:05–3:35 pm

PM Break

3:45–4:15 pm

Search-Driven Content Strategy Stephanie Briggs

Google's improvements in understanding language and search intent have changed how and why content ranks. As a result, many SEOs are chasing rankings that Google has already decided are hopeless. Stephanie will cover how this should impact the way you write and optimize content for search, and will help you identify the right content opportunities. She'll teach you how to persuade organizations to invest in content, and will share examples of strategies and tactics she has used to grow content programs by millions of visits.

4:15–4:55 pm

Ranking Is a Promise: Can You Deliver? Dr. Pete Meyers

In our rush to rank, we put ourselves first, neglecting what searchers (and our future customers) want. Google wants to reward sites that deliver on searcher intent, and SERP features are a window into that intent. Find out how to map keywords to intent, understand how intent informs the buyer funnel, and deliver on the promise of ranking to drive results that attract clicks and customers.

7:00–10:00 pm

Kickoff Party

Networking the Mozzy way! Join us for an evening of fun on the first night of the conference (stay tuned for all the details!).

Tuesday, July 10

8:30–9:30 am

Breakfast

9:35–10:15 am

Content Marketing Is Broken and Only Your M.O.M. Can Save You Oli Gardner

Traditional content marketing focuses on educational value at the expense of product value, which is a broken and outdated way of thinking. We all need to sell a product, and our visitors all need a product to improve their lives, but we're so afraid of being seen as salesy that somehow we got lost, and we forgot why our content even exists. We need our M.O.M.s! No, not your actual mother. Your Marketing Optimization Map — your guide to exploring the nuances of optimized content marketing through a product-focused lens.

In this session you'll learn data and lessons from Oli's biggest ever content marketing experiment, and how those lessons have changed his approach to content; a context-to-content-to-conversion strategy for big content that converts; advanced methods for creating "choose your own adventure" navigational experiences to build event-based behavioral profiles of your visitors (using GTM and GA); and innovative ways to productize and market the technology you already have, with use cases your customers had never considered.

10:15–10:45 am

Lies, Damned Lies, and Analytics Russ Jones

Search engine optimization is a numbers game. We want some numbers to go up (links, rankings, traffic, and revenue), others to go down (bounce rate, load time, and budget). Underlying all these numbers are assumptions that can mislead, deceive, or downright ruin your campaigns. Russ will help uncover the hidden biases, distortions, and fabrications that underlie many of the metrics we have come to trust implicitly and from the ashes show you how to build metrics that make a difference.

10:45–11:15 am

AM Break

11:25–11:55 am

The Awkward State of Local Mike Ramsey

You know it exists. You know what a citation is, and have a sense for the importance of accurate listings. But with personalization and localization playing an increasing role in every SERP, local can no longer be seen in its own silo — every search and social marketer should be honing their understanding. For that matter, it's also time for local search marketers to broaden the scope of their work.

11:55 am–12:25 pm

The SEO Cyborg: Connecting Search Technology and Its Users Alexis Sanders

SEO requires a delicate balance of working for the humans you're hoping to reach, and the machines that'll help you reach them. To make a difference in today's SERPs, you need to understand the engines, site configurations, and even some machine learning, in addition to the emotional, raw, authentic connections with people and their experiences. In this talk, Alexis will help marketers of all stripes walk that line.

12:25–1:55 pm

Lunch

2:00–2:30 pm

Email Unto Others: The Golden Rules for Human-Centric Email Marketing Justine Jordan

With the arrival of GDPR and the ease with which consumers can unsubscribe and report spam, it's more important than ever to treat people like people instead of just leads. To understand how email marketing is changing and to identify opportunities for brands, Litmus surveyed more than 3,000 marketers worldwide. Justine will cover the biggest trends and challenges facing email today and help you put the human back in marketing’s most personal — and effective — marketing channel.

2:30–3:00 pm

Your Red-Tape Toolkit: How to Win Trust and Get Approval for Search Work Heather Physioc

Are your search recommendations overlooked and misunderstood? Do you feel like you hit roadblocks at every turn? Are you worried that people don't understand the value of your work? Learn how to navigate corporate bureaucracy and cut through red tape to help clients and colleagues understand your search work — and actually get it implemented. From diagnosing client maturity to communicating where search fits into the big picture, these tools will equip you to overcome obstacles to doing your best work.

3:00–3:30 pm

PM Break

3:40–4:10 pm

The Problem with Content & Other Things We Don't Want to Admit Casie Gillette

Everyone thinks they need content but they don't think about why they need it or what they actually need to create. As a result, we are overwhelmed with poor quality content and marketers are struggling to prove the value. In this session, we'll look at some of the key challenges facing marketers and how a data-driven strategy can help us make better decisions.

4:10–4:50 pm

Excel Is for Rookies: Why Every Search Marketer Needs to Get Strong in BI, ASAP Wil Reynolds

The analysts are coming for your job, not AI (at least not yet). Analysts stopped using Excel years ago; they use Tableau, Power BI, Looker! They see more data than you, and that is what is going to make them a threat to your job. They might not know search, but they know data. I'll document my obsession with Power BI and the insights I can glean in seconds which is helping every single client at Seer at the speed of light. Search marketers must run to this opportunity, as analysts miss out on the insights because more often than not they use these tools to report. We use them to find insights.

Wednesday, July 11

8:30–9:30 am

Breakfast

9:35–10:15 am

Machine Learning for SEOs Britney Muller

People generally react to machine learning in one of two ways: either with a combination of fascination and terror brought on by the possibilities that lie ahead, or with looks of utter confusion and slight embarrassment at not really knowing much about it. With the advent of RankBrain, not even higher-ups at Google can tell us exactly how some things rank above others, and the impact of machine learning on SEO is only going to increase from here. Fear not: Moz's own senior SEO scientist, Britney Muller, will talk you through what you need to know.

10:15–10:45 am

Shifting Toward Engagement and Reviews Darren Shaw

With search results adding features and functionality all the time, and users increasingly finding what they need without ever leaving the SERP, we need to focus more on the forest and less on the trees. Engagement and behavioral optimization are key. In this talk, Darren will offer new data to show you just how tight the proximity radius around searchers really is, and how reviews can be your key competitive advantage, detailing new strategies and tactics to take your reivews to the next level.

10:45–11:15 am

AM Break

11:25–11:45 am

Location-Free Local SEO Community speaker: Tom Capper

Let's talk about local SEO without physical premises. Not the Google My Business kind — the kind of local SEO that job boards, house listing sites, and national delivery services have to reckon with. Should they have landing pages, for example, for "flower delivery in London?"

This turns out to be a surprisingly nuanced issue: In some industries, businesses are ranking for local terms without a location-specific page, and in others local pages are absolutely essential. I've worked with clients across several industries on why these sorts of problems exist, and how to tackle them. How should you figure out whether you need these pages, how can you scale them and incorporate them in your site architecture, and how many should you have for what location types?

11:45 am–12:05 pm

SEO without Traffic: Community speaker: Hannah Thorpe

Answer boxes, voice search, and a reduction in the number of results displayed sometimes all result in users spending more time in the SERPs and less on our websites. But does that mean we should stop investing in SEO?

This talk will cover what metrics we should now care about, and how strategies need to change, covering everything from measuring more than just traffic and rankings to expanding your keyword research beyond just keyword volumes.

12:05–12:25 pm

Tools Change, People Don't: Empathy-Driven Online Marketing Community speaker: Ashley Greene

When everyone else zags, the winners zig. As winners, while your 101+ competitors are trying to automate 'til the cows come home and split test their way to greatness‚ you're zigging. Whether you're B2B or B2C, you're marketing to humans. Real people. Homo sapiens. But where is the human element in the game plan? Quite simply, it has gone missing, which provides a window of opportunity for the smartest marketers.

In this talk, Ashley will provide a framework of simple user interview and survey techniques to build customer empathy and your "voice of customer" playbook. Using real examples from companies like Slack, Pinterest, Intercom, and Airbnb, this talk will help you uncover your customers' biggest problems and pain points; know what, when, and how your customers research (and Google!) a need you solve; and find new sources of information and influencers so you can unearth distribution channels and partnerships.

12:25–1:55 pm

Lunch

2:00–2:30 pm

You Don't Know SEO Michael King

Or maybe, "SEO you don't know you don't know." We've all heard people throw jargon around in an effort to sound smart when they clearly don't know what it means, and our industry of SEO is no exception. There are aspects of search that are acknowledged as important, but seldom actually understood. Michael will save us from awkward moments, taking complex topics like the esoteric components of information retrieval and log-file analysis, pairing them with a detailed understanding of technical implementation of common SEO recommendations, and transforming them into tools and insights we wish we'd never neglected.

2:30–3:00 pm

What All Marketers Can Do about Site Speed Emily Grossman

At this point, we should all have some idea of how important site speed is to our performance in search. The recently announced "speed update" underscored that fact yet again. It isn't always easy for marketers to know where to start improving their site's speed, though, and a lot of folks mistakenly believe that site speed should only be a developer's problem. Emily will clear that up with an actionable tour of just how much impact our own work can have on getting our sites to load quickly enough for today's standards.

3:00–3:30 pm

PM Break

3:40–4:10 pm

Traffic vs. Signal Dana DiTomaso

With an ever-increasing slate of options in tools like Google Tag Manager and Google Data Studio, marketers of all stripes are falling prey to the habit of "I'll collect this data because maybe I'll need it eventually," when in reality it's creating a lot of noise for zero signal.

We're still approaching our metrics from the organization's perspective, and not from the customer's perspective. Why, for example, are we not reporting on (or even thinking about, really) how quickly a customer can do what they need to do? Why are we still fixated on pageviews? In this talk, Dana will focus our attention on what really matters.

4:10–4:50 pm

Why Nine out of Ten Marketing Launches Suck (And How to Be the One that Doesn't) Rand Fishkin

More than ever before, marketers are launching things — content, tools, resources, products — and being held responsible for how/whether they resonate with customers and earn the amplification required to perform. But this is hard. Really, really hard. Most of the projects that launch, fail. What separates the wheat from the chaff isn't just the quality of what's built, but the process behind it. In this presentation, Rand will present examples of dismal failures and skyrocketing successes, and dive into what separates the two. You'll learn how anyone can make a launch perform better, and benefit from the power of being "new."

7:00–11:30 pm

MozCon Bash

Join us at Garage Billiards to wrap up the conference with an evening of networking, billiards, bowling, and karaoke with MozCon friends new and old. Don't forget to bring your MozCon badge and US ID or passport.

Grab your ticket today!

Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don't have time to hunt down but want to read!

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abhijeetpawar22 · 4 years ago

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Controlled And Slow Release Fertilizer Market 2020 Industry Size, Trends, Global Growth, Insights and Forecast Research Report 2026

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Novel Coronavirus has been affecting all the aspects of the business since its emergence while creating panic among public for the speedy spread of infection. The impact of COVID-19 has been majorly observed in all the key areas and others of the Controlled And Slow Release Fertilizer market. The Controlled And Slow Release Fertilizer market study offers an in-depth study on these areas including strategies adopted by players during the pandemic. It also offers information on the future strategies that will help companies to stabilize the Controlled And Slow Release Fertilizer market post pandemic.

On the basis of the product, the market is categorized as:

Organically Coated

Inorganically Coated

On the basis of end user, the market is sectioned as:

Cereals & Grains

Fruits & Vegetables

Oil Seeds

Other

Geographically, the detailed analysis of consumption, revenue, Controlled And Slow Release Fertilizer market share and growth rate, historic and forecast (2015-2026) of the following regions are covered:

North America (United States, Canada, Mexico) Europe (Germany, UK, France, Italy, Spain, Russia, Others) Asia-Pacific (China, Australia, South Korea, Japan, India, Southeast Asia, Others) Middle East and Africa (UAE, Saudi Arabia, Egypt, South Africa, Nigeria, Others) South America (Brazil, Argentina, Columbia, Chile, Others)

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contactvishalkadu · 5 years ago

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ENTERPRISE ASSET MANAGEMENT (EAM) MARKET ANALYSIS

Enterprise Asset Management (EAM) Market, By Vertical (Public Sector, Manufacturing, Oil and Gas, Healthcare and Pharmaceutical Industry, Energy and Utility, Transportation, Wholesale and Distribution, Food & Beverages, Paper and Packaging, Chemical and Process Industry (Including Steel Industry), Mining, Service Industry), By Solution (Database Solution, Analytics Solution, Mobile Solution, Cloud-based Solution), By Service (Consulting Service, Implementation Service, Training and Support Service, Outsourcing Service), By Geography (North America, Latin America, Europe, Asia Pacific Excluding Japan, MEA, Japan) - Size, Share, Outlook, and Opportunity Analysis, 2019 - 2027

Enterprise Asset Management (EAM) is an optimal lifecycle management solution which manages the assets of a company. Enterprise asset management (EAM) includes the management of the maintenance of physical assets of an organization throughout each asset's lifecycle. EAM system helps enterprises to reduce the end-user’s maintenance costs. EAM is used to optimize, plan, execute, and track the required maintenance activities with the associated priorities, tools, skills, materials and information. Moreover, rising adoption of EAM has lowered the labor costs, production costs, reduced equipment breakdowns and boosted maintenance productivity. Furthermore, the EAM solution offers maximum control and visibility over important assets that affect business performance, risk as well as compliance. Reduction of maintenance and procurement expenses, improved return on assets and increasing adoption of EAM solutions are the major factors which are expected to further augment the growth of global enterprise asset management market during forecast period.

Market Taxonomy

Enterprises require EAM for management of assets, buildings, machines, IT and other enterprise assets. The on premise implementation of enterprise asset management solutions requires a lot of time and capital. It requires organizations to make significant investments in finding the right servers, storage devices, and communication infrastructure. Moreover, cloud-based enterprise asset management solutions can be easily scaled to fit the needs of an organization. Additionally, there is far more reliability with a cloud-based system, because data centers are geographically dispersed along with storage. Asset-intensive organizations take advantage of the latest hardware, software, and communications features available in the market by adopting cloud-based enterprise asset management solutions. These solutions make it easier for organizations to gain business intelligence and optimize the use and value of enterprise assets. However, high implementation cost for SME's and concerns of organizations related to data security and confidentiality are expected to hinder the market growth during forecast period.

Key features of the study:

This report provides an in-depth analysis of the Global Enterprise Asset Management Market with market size (US$ Million) and CAGR (%) over the forecast period: 2019 – 2027, considering 2018 as the base year

It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrix for this market

This study also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, regional outlook, and competitive strategies adopted by leading players

It profiles leading players in the global enterprise asset management market based on the following parameters – company overview, financial performance, product portfolio, geographical presence, distribution strategies, key developments, and strategies

Key companies covered as part of this study include IBM Corporation, SAP SE, Oracle Corporation, ABB Ltd., IFSAB, Infor, Inc., Ultimo Software Solutions BV, CARL International SA e Maint Enterprises, LLC, Mainsaver, Inc. MEX Pty Ltd., and Asset Works LLC.

Insights from this report will allow marketers and management authorities of companies to make informed decisions with respect to future product launches, technology upgrades, market expansion, and marketing tactics

Various strategy matrices used in analyzing the global enterprise asset management market would provide stakeholders vital inputs to make strategic decisions accordingly

Detailed Segmentation:

Public Sector

Manufacturing

Oil and Gas

Healthcare and Pharmaceutical Industry

Energy and Utility

Transportation

Wholesale and Distribution

Food & Beverages

Paper and Packaging

Chemical and Process Industry (Including Steel Industry)

Mining

Service Industry

Database Solution

Analytics Solution

Mobile Solution

Cloud-based Solution

Consulting Service

Implementation Service

Training and Support Service

Outsourcing Service

U.S.

Canada

Public Sector

Manufacturing

Oil and Gas

Healthcare and Pharmaceutical Industry

Energy and Utility

Transportation

Wholesale and Distribution

Food & Beverages

Paper and Packaging

Chemical and Process Industry (Including Steel Industry)

Mining

Service Industry

Database Solution

Analytics Solution

Mobile Solution

Cloud-based Solution

Consulting Service

Implementation Service

Training and Support Service

Outsourcing Service

Mexico

Brazil

Rest of Latin America

Public Sector

Manufacturing

Oil and Gas

Healthcare and Pharmaceutical Industry

Energy and Utility

Transportation

Wholesale and Distribution

Food & Beverages

Paper and Packaging

Chemical and Process Industry (Including Steel Industry)

Mining

Service Industry

Database Solution

Analytics Solution

Mobile Solution

Cloud-based Solution

Consulting Service

Implementation Service

Training and Support Service

Outsourcing Service

Germany

France

U.K.

Russia

Poland

Spain

Italy

Scandinavia

Benelux

Rest of Europe

Public Sector

Manufacturing

Oil and Gas

Healthcare and Pharmaceutical Industry

Energy and Utility

Transportation

Wholesale and Distribution

Food & Beverages

Paper and Packaging

Chemical and Process Industry (Including Steel Industry)

Mining

Service Industry

Database Solution

Analytics Solution

Mobile Solution

Cloud-based Solution

Consulting Service

Implementation Service

Training and Support Service

Outsourcing Service

China

India

Rest of Asia Pacific excluding Japan

Australia & New Zealand

ASEAN

Public Sector

Manufacturing

Oil and Gas

Healthcare and Pharmaceutical Industry

Energy and Utility

Transportation

Wholesale and Distribution

Food & Beverages

Paper and Packaging

Chemical and Process Industry (Including Steel Industry)

Mining

Service Industry

Database Solution

Analytics Solution

Mobile Solution

Cloud-based Solution

Consulting Service

Implementation Service

Training and Support Service

Outsourcing Service

GCC

North Africa

South Africa

Rest of Middle East and Africa

Public Sector

Manufacturing

Oil and Gas

Healthcare and Pharmaceutical Industry

Energy and Utility

Transportation

Wholesale and Distribution

Food & Beverages

Paper and Packaging

Chemical and Process Industry (Including Steel Industry)

Mining

Service Industry

Database Solution

Analytics Solution

Mobile Solution

Cloud-based Solution

Consulting Service

Implementation Service

Training and Support Service

Outsourcing Service

Public Sector

Manufacturing

Oil and Gas

Healthcare and Pharmaceutical Industry

Energy and Utility

Transportation

Wholesale and Distribution

Food & Beverages

Paper and Packaging

Chemical and Process Industry (Including Steel Industry)

Mining

Service Industry

Database Solution

Analytics Solution

Mobile Solution

Cloud-based Solution

Consulting Service

Implementation Service

Training and Support Service

Outsourcing Service

Company Overview

Product Portfolio

Financial Performance

Recent Developments/Updates

“*” marked represents similar segmentation in other categories in the respective section.

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globalmarketreports · 5 years ago

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Big Data Service Market Size, Share, Future Scope and Forecast Report by 2027

Global big data service market was valued at USD 4.96 billion in 2018, which is expected to reach USD 62.41 billion by 2027 at a CAGR 39.8%.

The global Big Data as Service market is studied in detail in the new report on Qualiket Research. The new report studies the Big Data as Service market by profiling its major driving factors and restraining factors, compiling a comprehensive database on the market’s historical growth trajectory and present conditions, and by using easy formulation of calculations and estimations through the use of industry-leading analytical tools and methods.

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Big data service is the statistical analysis tools or information which helps organizations to analyze, maintain and store data sets. These services are classified into various solutions such as as Hadoop-as-a Service, Data-as ��a –Service, and Data Analytics-as-a-service. Big data services are widely used in various sectors such as BFSI, IT & Telecommunication, Retail & E-Commerce, Healthcare, Government, Manufacturing, and Others.

Market Drivers

Rise in need for ensuring high quality data with creating a channelized data flow in organizations is major driving factor which is expected to boost the global big data service market growth. Furthermore, increase in technological advancements in big data solutions is expected to propel the global big data service market growth. Moreover, increase in usage of cloud based data analytics solution is expected to fuel the global big data service market growth. In addition to that, increase in demand for improving organization’s internal efficiency will grow the global big data service market growth.

Market Restraints

However, data security and privacy concerns are expected to hamper the growth of global big data service market. Also, lack of big data IT skilled professional will affect the global big data service market growth.

Market Key Players

Various key players are discussed in this report such as Microsoft Corporation, Amazon Web Services, IBM, Oracle, SAP, SAS, Dell Technologies, Hewlett Packard Enterprise, Sales force, Splunk, IRI,and GoodData.

Market Taxonomy

By Solution

Hadoop-as-a Service

Data-as –a –Service

Data Analytics-as-a-service

By Deployment

Public Cloud

Private Cloud

Hybrid Cloud

By Enterprise Size

Large Enterprises

Small & Medium Enterprise Sizes

By End User

BFSI

IT & Telecommunication

Retail & E-Commerce,

Healthcare

Government

Manufacturing

Others

By Region

North America

Latin America

Europe

Asia Pacific

Middle East & Africa

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shinelikethunder · 8 years ago

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disconnected thoughts on fandom and the indieweb

Recently I discovered the IndieWeb project, and I... think I am a lot more intrigued by it than by other Better Social Media Platform pipe dreams and decentralization projects I’ve seen? Because it’s not a monolithic platform that has to be all things to all people, or even one that has to gain a critical mass of userbase before it’s useful for anything. It’s just a bunch of people, making sites that work for them, and banging out protocols so their sites can talk to each other and hook up to the social-media hangouts du jour.

The basic idea:

- Have a personal website, preferably a personal domain name, that is the hub for your online identity and stuff. Posts, tweets, pictures, links, reading list, events, whatever you’d normally be posting to social media. You host it, you control it, you own it. You tweak it to fit your needs, no Xkit required.

- Once the original archival copy is up on your personal site, cross-post it to whatever social media sites it belongs on. You don’t have to quit your Tumblr habit, or convince your friends to quit theirs, or give up the audience you can reach on a large site.

- Use a pingbacks-on-steroids tool to collect all the responses (likes, reblogs, comments, etc) from the various sites you’ve cross-posted to. Ideally, display them at the bottom of the post back on your website.

As an idea, I like it a lot. In practice, a lot depends on what tools are already available, how useable they are, how capable you are of coding/templating/configuring to fill in the gaps, and how difficult large sites make it to push/pull from them automatically. That’s pretty much what I’m interested in exploring in the near future, for my own use if nothing else. I already have most of my Tumblr content backed up to a Wordpress install on my own shared hosting account, so I’m kinda curious see how much IndieWeb compatibility I can manage using plugins and template tweaks.

Indieweb and fandom:

As a potential tool for fandom to wean ourselves off the various hellsites we’ve inhabited over the years... okay, it’s an interesting thought. One with lots of unanswered questions, but interesting.

Lots of unanswered questions, so the rest of this is going under a cut.

- Upside: I know a lot of older fans are still nostalgic about the early blogosphere and even--heaven forfend--the Geocities days. Many things about them were shit, but the archipelago of personal fan shrines, indie blogs, having a personal site with a personal archive of your work, etc. was awesome. And the “own your own creations” ethos fits in nicely with AO3′s “we have to own the servers” philosophy.

- Enabling factor: Fandom builds and customizes stuff like crazy. Yes, including the younger generations who weren’t around for the “build it yourself” days and seem to think AO3 burst fully formed out of the forehead of a long-lost deity. What, you haven’t noticed that even on a hobbled hellsite like Tumblr, teenagers are using the relative freedom of the theme system to spontaneously rediscover all the sins of Geocities web design? (I rib with affection, as someone who definitely had a page with flaming torch gifs and a sparklecursor back in 2001.) Full, out-of-the-box, point-and-click setup is necessary to get fandom to adopt something in any decent numbers. But once we’re there, a disproportionate number of us start tinkering with anything that’s customizable, and when someone with actual coding skills comes out with a useful tool to supplement missing capabilities, it spreads like wildfire.

- Gaps and directions to expand: Indieweb principles include “scratch your own itches,” so here are my itches, which I’m going to shamelessly project onto fandom at large.

Import--needs rock solid LiveJournal-clone and Tumblr support if your site is to serve as an archive. I don’t know if there even is a working Wordpress plugin to import from LJ or Dreamwidth. The best-supported Tumblr->Wordpress importer is actually better than most standalone Tumblr backup tools, but it still mangles video posts/embeds. It’d also be cool to have import tools for AO3, Deviantart, and other major fanwork repositories.

Once your Tumblr posts are in, there's no way to automate the very first thing I’d want to do upon liberating my data from the vise-like jaws of What Tumblr Wants You To Do With Its Site: separate out posts I created, posts I added comments to, and posts I just shared via reblog. A nice addition would be the ability to copy Tumblr tags to a metadata field that’s separate from Wordpress tags--WP tags tend to be organizational, whereas on Tumblr, tags are often a sidechannel for comments that don’t propagate on reblog, thus filled with all sorts of crap.

On that note, Itch #3 is mass-organization tools. Select all posts that fit certain criteria and do a mass edit on their tags, categories, post types, or other taxonomy data. Lots of fandom folks have years or decades worth of content from various sites, making organizational tasks highly impractical to do manually. I’ve dicked around with a few Wordpress mass-edit plugins, but none of them seemed to work that well.

Not sure how well the existing backfeed tools support Tumblr notes, but for fandom to bite, the Tumblr support oughta be pretty damn slick. And the cross-posting should ideally support all the features of a native Tumblr post, because by god, we will use them, and we will notice if an expected one is missing. I can spot IFTTT cross-posts from AO3 without even reading text, and tbh my eyes usually skip right over them, unfair as that may be.

If this project extends to feed readers/aggregators, the embrace of multi-site cross-posting implies a need for deduplication. Preferably getting rid of Tumblr’s charming “barf the full post back out onto your dashboard every time someone you’re following shares/responds to it” behavior in the process. For fandom use, it’ll need a blacklist feature. And I’d love some more heavy-duty filtering, selective subscriptions (like to just one tag of a blog), creating multiple feeds based on topic or on how much firehose you want...

This may be a personal itch, but at least for personal archiving needs, I’m sick, sick, sick of the recency bias that’s eaten the internet since the first stirrings of Web 2.0. Wikis are practically the only sites that have escaped chronological organization. It would be cool to have easily-manipulated collections with non-kludgey support for series ordering, order-by-popularity, order-by-popularity with a manual bump for posts you want to highlight, hell even alphabetical ordering. None of these things are remotely unsolved problems, but they’re poorly supported on the social-media silos most people’s content lives on these days. Fandom’s suffered from this since at least the days of LiveJournal, which had the ominous beginnings of what’s since become the Tumblr Memory Hole. Relentless chronological ordering + the signal-to-noise ratio of any space with regular social interaction = greatest hits falling down the memory hole unless a community practices extensive manual cataloguing. Hell, LJ fandom did practice extensive manual cataloguing, but even within that silo, there was so much decentralization that content discovery was shit if you didn’t know the right accounts to search through. Like, fuck, at least forums bump threads to the top if they’re still active--LJ and blogs have the same "best conversation evar falls inexorably off the map as new posts are added, no matter how active it is” problem that InsideTheWeb forums did in 1999. (Anyone else remember InsideTheWeb? AKA 13-year-old me’s first experience with platform shutdown, frantic archiving attempts, and massive data loss. Fun times.) Tumblr and Twitter, meanwhile, spam you with duplicates of the original post every time someone you’re following replies to/shares it, a key component of the endless firehose of noise drowning out any attempt to hang on to the signal.

All those itches are things I could probably code myself if I got a stubborn enough bee in my bonnet, which might well happen. On the other hand, I have some deeper doubts, ones that aren’t going to get addressed by Wordpress plugins or shiny backfeed support:

The whole concept of IndieWeb fails to address (and might even worsen) what I suspect is the core dysfunction of social media. Which is the degradation of community spaces, and their replacement with a hopeless snarl where all content lives in individual accounts. There are a lot of weird effects that arise when the “social” sphere is built entirely upon the one-on-one connections created when someone subscribes to another account or gives someone else permission to view their restricted posts. Echo chambers, shame mobs, out-of-context remarks going viral, popular accounts setting off harassment storms whenever they disagree with someone, the difficulty of debunking hoaxes once they’re out in the wild... all of those are either created or made much, much worse by the lack of any reasonable, stable, shared expectation of who a post’s audience is.

Basically, if “own your content and host it on your site” also applies to your comments, interactions, etc, it starts running counter to one of the strengths of the Old Web. Which was community contexts where you explicitly weren’t posting to your own space or addressing everyone who might be looking at the main clearinghouse of all your different stuff. You were posting to the commons shared by a particular group with a particular culture and interests, not all of whom were people you’d necessarily want to follow outside that limited context, some of whom you might disagree with or dislike, but in any case you knew what audience you were broadcasting to. You knew what the conversation was, how similar conversations had gone in the past, and the reputations of all the main participants--not just the ones you yourself would subscribe to and the ones attention-grabbing enough to get shared by the people on your subscription list. And you weren’t spamming all your other acquaintances with chatter on a topic they weren’t interested in.

Shared spaces can also establish whatever social norms they need and moderate accordingly. (Plus, plurality of spaces = plurality of norms for different needs, which would solve a LOT of what’s currently ailing fandom.) Peaceable enforcement of a code of conduct, beyond the “minimum viable standard” sitewide abuse policy, is fundamentally impossible on social media, where individual muting is the closest thing you can get to moderation. That + unstable audience = any social norms that exist are so unenforceable it turns people into frothing shame-mob zealots, ratcheting up the coercive pressure on everyone the more it fails to work on the handful of unrepentant assholes who would’ve been permabanned from any self-respecting forum within a week. Moving onto personal sites with beefed up syndication/backfeed capabilities ain’t gonna fix that. Meanwhile the truly heinous dickweeds who’d ordinarily run afoul of the sitewide abuse policy will have the same capabilities, minus any risk of getting banned.

If there haven’t already been epic drama meltdowns caused by the “reply in your own space by making your own post, which includes a copy of the original post for context” model... it’s only a matter of time. You don’t even need malicious actors, just a human conflict where one party has overprotective subscribers. Or information turns out to be faulty and in need of correction. Or an argumentative type stumbles on the permalink of an acrimonious reply post that was actually resolved amicably several replies downthread. Or someone edits an apology into their controversial post and someone who’s been attacking it refuses to update their copy because tilting at strawmen is more fun. Or someone tries to make an embarrassing post go away by deletion and their co-conversationists don’t cooperate. Tumblr’s “reply by reposting in your own space and adding commentary” system already spawns endless floods of drama and misunderstanding, and that’s a system with some limits on the participants’ control, and relatively disposable accounts/identities if the shit hits the fan.

Basically, I’m all for personal websites as archives of your creations, but seriously dubious of them as archives of your interactions. Especially if the interactions aren’t well-segregated from the regular content feed that goes out to everyone who follows you. Yes, abuses of moderator power when interaction is all taking place on a site the mod controls are a thing. But if those sites are an archipelago of indie spaces rather than a monolithic platform, shitty mods don’t thwart the development of a healthy social ecosystem, they just drive everyone away to a competing space whose mod sucks less.

(Private/access-restricted archives of your interactions might be a compromise? You still have your stuff in case the other site goes down, but it’s not out there replicating the ill effects of the Tumblr reblog-to-respond model.)

Leaving aside all that, the IndieAuth component--using personal sites as stable identities you can log in with--is just as workable for community platforms as it is for cross-blog commenting. Proliferation of unlinkable accounts was one of the downfalls of forums, after all. That said, one potential point of friction is that fandom is far more pseudonym-centric than the devs and tech hobbyists who’ve coalesced around IndieWeb so far. But stable pseuds with years of reputation behind them have social effects that resemble real names more than anything else, so as potential culture clashes go, I’d hope that’s fairly surmountable.

As noted in the musings on LiveJournal archiving above: CONTENT DISCOVERY IS A BITCH IN DECENTRALIZED COMMUNITIES and that’s a major stumbling block for fandom. OTOH, platform-agnostic protocols with customization potential = room for experimentation with independently-run discovery/search/tagging layers. (Life goals: stay uncool enough that my “Like Uber, but for ___” elevator pitch ends up being “It’s like Technorati, but for fanfiction of Kirk drilling Spock.”)

Okay, that’s it, jesus christ it’s time for me to go to bed.

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7r0773r · 5 years ago

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Why Fish Don’t Exist: A Story of Loss, Love, and the Hidden Order of Life by Lulu Miller

Specifically, [Louis] Agassiz believed that hiding in nature was a divine hierarchy of God’s creations that, if gleaned, would provide moral instruction. This idea of a moral code hidden in nature—a hierarchy, a ladder or “gradation” of perfection—has been with us for a long time. Aristotle envisioned a holy ladder—later Latinized to Scala Naturae—in which all living organisms could be arranged in a continuum of lowly to divine, with humans at the top, followed by animals, insects, plants, rocks, and so on. And Agassiz believed that by arranging these organisms into their proper order, one could come to discern not just the intent of a holy maker but perhaps even the instructions for how to become better. (p. 25)

***

There’s an idea in philosophy that certain things don’t exist until they get a name. Abstract things like justice, nostalgia, infinity, love, or sin. The thinking goes that these concepts do not sit out there on some ethereal plane waiting to be discovered by humans but instead snap into being when someone invents a name for them. The moment the name is uttered, the concept becomes “real,” in the sense that it can affect reality. We can declare war, truce, bankruptcy, love, innocence, or guilt, and in so doing, change the course of people’s lives. The name itself is a thing of great power, then, the vessel that drags the idea from the imaginary to the earthly realm. Before the word, however, the thinking goes, the concept is largely inert. (p. 63)

***

So there it was. As David swept up the glass in his lab, as he began to try to piece his life back together, the thing he was whispering to himself was a lie.

It is the will of man that shapes the fates.

It was shocking to see, a surprise based on everything he stood for. But considering the fact that David ultimately ended up being able to salvage so much of his collection, considering that thousands of specimens remain today over a century later, considering that by so many measures David Starr Jordan’s life turned out to be one of unusual success—the wives, the presidencies, the awards, the Garden of Eden complete with dog-riding monkeys and Latin-speaking parrots and taxonomy-loving children—I was beginning to wonder if self-delusion was such a bad thing. Maybe he and my father didn’t need to be so moralistic about it, calling it a sin to avoid at all costs. (p. 97)

***

And then there was that key point in On the Origin of Species. That crucial point that somehow both David and before him Francis Galton had missed. What does Darwin say is the best way of building a strong species, of allowing it to endure into the future, to withstand the blows of Chaos in all her mighty forms—flood, drought, rising sea levels, fluctuating temperatures, invasions of competitors, predators, pests?

Variation. Variation in genes, and hence in behavior and physical traits. Homogeneity is a death sentence. To rid a species of its mutants and outliers is to make that species dangerously vulnerable to the elements. In nearly every chapter of Origin, Darwin hails the power of "Variation." He marvels over how diverse gene pools are healthier and stronger, how intercrossing between different types of individuals gives more "vigor and fertility" to their offspring, how even worms and plants that can produce perfect replicas of themselves are equipped for sex, for introducing variety back into the gene pool. "How strange are these facts!" he cries. "How simply are these facts explained on the view of an occasional cross with a distinct individual being advantageous or indispensable!"

"Diversify your genetic portfolio" would be another way of saying it. You never know which traits could prove useful as conditions change. Darwin even goes out of his way to warn against meddling, The danger, as he sees it, is the fallibility of the human eye, our inability to comprehend complexity. Traits that might seem "abhorrent to our ideas of fitness" could actually be beneficial to a species or ecosystem, or could, in time, become beneficial as conditions change. It was that ungainly neck that gave the giraffe an edge over its competitors, the seeming deadweight of blubber that allowed the seal to thrive in the advancing cold, the divergent human brain that might hold the key to inventions, discoveries, and revolutions that the majority is unable to fathom. "Man can act only on external and visible characters; nature cares nothing for appearances. . . . She can act on every internal organ, on every shade of constitutional difference, on the whole machinery of life."

Consider the case of the cyanobacteria. A tiny green speck in the sea, so insignificant to the human eye that for centuries we didn't even have a name for it. Until one day in the 1980s when scientists accidentally discovered it was producing a significant portion of the oxygen we breathe. Now we revere it, this tiny green speck, Prochlorococcus marinus; we fight to protect it. This was the kind of scenario Darwin prophesied. Why he warned, so unambiguously, against attempting to rank Earth's bounty: "Which group will prevail, no man can predict."

And this wariness, this humility, this reverence for an ecological complexity that defies human comprehension is, in fact, a very old idea. It's a basic philosophical concept sometimes called the "dandelion principle": in some contexts a dandelion might be considered a weed to be culled; in others, it's a valuable medicinal herb to be cultivated.

The eugenicists failed to consider this very simple principle of relativity. By trying to cull the gene pool of its "indispensable" variety, they were in fact foiling their very best shot of building a master race. (pp. 133-35)

***

I had been fashioning myself after a villain, after all. (p. 143)

***

"I just wish he had considered what Oliver Cromwell once said," Luther Spoehr told me on the phone one June morning, as he tried to make sense of this man he had studied for so many years. "I beseech thee in the bowels of Christ, consider that thee might be mistaken.'"

"Are you saying you wish he had more doubt?" I asked.

"Yup."

But he didn't. Despite his prophet's warning that "science, generally, hates beliefs"—David held fast to this idea of a ladder. He clung to it, in the face of waves of counterevidence that should have eventually eroded it.

When Darwin came along, debunking the idea of a divine plan, David accepted that Earth's creatures had come about accidentally. But he somehow found a way to preserve the idea of a hierarchy of perfection. He told himself that time, not God, had forged its shape—the slow tick of time forming fitter, more intelligent, more morally advanced forms of life.

When he encountered the growing chorus of opposition to his eugenics agenda, when judges and lawyers and governors began trying to overturn eugenic laws, he wrote them off as sentimental, unscientific. When scientists began to question eugenics, to point out all its shoddy assumptions about the heritability of morality, about the concept of degeneration, he questioned their courage, their commitment to the cause of bettering society.

But perhaps the most damning argument came from nature herself. Had David followed his own advice to look to nature for truth, he would have seen it. This dazzling, feathery, squawking, gurgling mound of counterevidence. Animals can outperform humans on nearly every measure supposedly associated with our superiority. There are crows that have better memories than us, chimps with better pattern-recognition skills, ants that rescue their wounded, and blood flukes with higher rates of monogamy. When you actually examine the range of life on Earth, it takes a lot of acrobatics to sort it into a single hierarchy with humans at the top. We don't have the biggest brain or the best memory. We're not the fastest or the strongest or the most prolific. We're not the only ones that mate for life, that show altruism, use tools, language. We don't have the most copies of genes in circulation. We aren't even the newest creation on the block.

This was what Darwin was trying so hard to get his readers to see. There is no ladder. Natura non facit saltunt, he cries in his scientist's tongue. There are no "jumps." The rungs we see are figments of our imagination, more about "convenience” than truth. To Darwin, a parasite was not an abomination but a marvel. A case of extraordinary adaptability. The sheer range of creatures in existence, great and small, feathered and glowing, goitered and smooth, was proof that there are endless ways of surviving and thriving in this world.

So why was David unable to see it? This mountain of counterevidence stacked up against his faith in a ladder. Why would he protect it, this arbitrary belief about how plants and creatures should be arranged? When challenged, why would he only double down and use it to justify such violent measures?

Perhaps because his belief gave him something more important than truth.

Not just that first spark of purpose as a young man on Penikese, not just a career and a cause and a wife and a cushy life. But something even more profound. A way of turning that roiling morass, of the sea, of the stars, of his dizzying life, into clear, shining order.

To let go, at any point—from his first read of Darwin to his last push for eugenics—would have been to invite a return to vertigo. He would have been transported back to being that lost little boy, shaking before a world that had just taken his brother. A terrified child, powerless before the world, with no way of understanding or controlling it. To let go of that hierarchy would be to release a tornado of life, beetles and hawks and bacteria and sharks, swirling high into the air, all around him, above him.

It would have been too disorienting.

It would have been Chaos.

It would have been—

—the very same vision of the world I myself had been fighting so hard not to look at ever since I was a little girl. That sense of falling off the edge of the world, plummeting alongside ants and stars, with no purpose or point. Of glimpsing the glaring, relentless truth so clear from inside the swirl of Chaos. You don’t matter.

That’s what the ladder offered David. An antidote. A foothold. The lovely, warm feeling of significance.

In that light, I could understand why he clung to it so tightly, this vision of a natural order. Why he protected it so ferociously—against morality, against reason, against truth. Even as I despised him for it, on some level I craved the very same thing. (pp. 145-47)

***

And that’s when it hit me. That it was not a lie to say that Anna matters. Or that Mary matters. Or that—hold on to your seat—you matter, Reader.

It wasn’t a lie to say so, but a more accurate way of seeing nature.

It was the dandelion principle!

To some people a dandelion might look like a weed, but to others that same plant can be so much more. To an herbalist, it’s a medicine—a way of detoxifying the liver, clearing the skin, and strengthening the eyes. To a painter, it’s a pigment; to a hippie, a crown; a child, a wish. To a butterfly, it’s sustenance; to a bee, a mating bed; to an ant, one point in a vast olfactory atlas.

And so it must be with humans, with us. From the perspective of the stars or infinity or some eugenic dream of perfection, sure, one human life might not seem to matter. It might be a speck on a speck on a speck, soon gone. But that was just one of infinite perspectives. From the perspective of an apartment in Lynchburg, Virginia, that very same human could be so much more. A stand-in mother. A source of laughter. A way of surviving one’s darkest years.

This was what Darwin was trying so hard to get his readers to see: that there is never just one way of ranking nature’s organisms. To get stuck on a single hierarchy is to miss the bigger picture, the messy truth of nature, the “whole machinery of life.” The work of good science is to try to peer beyond the “convenient” lines we draw over nature. To peer beyond intuition, where something wilder lives. To know that in every organism at which you gaze, there is complexity you will never comprehend.

As I kept driving, I pictured all the dandelions in the whole wide world nodding their heads in unison at me finally getting it, waving beyond my wheels, shaking their yellow pom-poms, cheering me on. At long last, I had found it, a retort to my father. We matter, we matter. In tangible, concrete ways human beings matter to this planet, to society, to one another. It was not a lie to say so. Not a sappy cop-out or a sin. It was Darwin’s creed! It was, conversely, a lie to say only that we didn’t matter and keep it at that. That was too gloomy. Too rigid. Too shortsighted. Dirtiest word of all: unscientific. (pp. 162-63)

***

. . . . “Fish,” in a certain sense, is a derogatory term. A word we use to hide that complexity, to keep ourselves comfortable, to feel further away from them than we actually are. (p. 181)

***

Now when I l ie in bed next to my emerald-eyed wife, and the gun comes—and it still comes, will probably always still come—I consider its offerings. The relief it could bring. The solution to that day’s stresses and messes I have made. An end to shame.

And then I consider the fish. The fact that fish don’t exist. I picture a silvery fish dissolving in my hand. If fish don’t exist, what else don’t we know about our world? What other truths are waiting behind the lines we draw over nature? What other categories are about to cave in? Could clouds be animate? Who knows. On Neptune, it rains diamonds; it really does. Scientists figured that out just a few years ago. The longer we examine our world, the stranger it proves to be. Perhaps there will be a mother waiting inside a person deemed unfit. Perhaps there will be medicine inside a weed. Salvation inside the kind of person you had discounted.

When I give up the fish, I get, at long last, that thing I had been searching for: a mantra, a trick, a prescription for hope. I get the promise that there are good things in store. Not because I deserve them. Not because I worked for them. But because they are as much a part of Chaos as destruction and loss. Life, the flip side of death. Growth, of rot.

The best way of ensuring that you don't miss them, these gifts, the trick that has helped me squint at the bleakness and see them more clearly, is to admit, with every breath, that you have no idea what you are looking at. To examine each object in the avalanche of Chaos with curiosity, with doubt. Is this storm a bummer? Maybe it's a chance to get the streets to yourself, to be licked by raindrops, to reset. Is this party as boring as I assume it will be? Maybe there will be a friend waiting, with a cigarette in her mouth, by the back door of the dance floor, who will laugh with you for years to come, who will transmute your shame to belonging.

I am not saying I'm always so good at looking at the world in this way. I cling to my certainty—teddy bear that it is—and my grudges stay intact; my fear stays charged, the earth flat. But then I read a news article about, say, a new organ discovered in the human body called the "interstitium." There all along but somehow missed by millennia of humans. And the world cracks open a bit. I am reminded to do as Darwin did: to wonder about the reality waiting behind our assumptions. Perhaps that unsightly bacteria is producing the oxygen you need to breathe. Perhaps that heartbreak will prove to be a gift, the hard edge off which you reluctantly bounce to find a better match. Perhaps even your dreams need examining. Perhaps even your hope . . . needs some doubt. (pp. 190-92)

#lulu miller #book quotes

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