#software patents debate

[michellesanches]

Can Software be Protected by Intellectual Property Law?

The rapid advancement of technology and the digital age has given rise to the creation of innovative and valuable software products. Software is a form of intellectual creation and developers invest significant time, effort and resources to develop unique programs and applications. As software becomes a vital component of modern businesses and daily life, the need to protect these creations from…

[mostlysignssomeportents]

An open copyright casebook, featuring AI, Warhol and more

I'm coming to DEFCON! On Aug 9, I'm emceeing the EFF POKER TOURNAMENT (noon at the Horseshoe Poker Room), and appearing on the BRICKED AND ABANDONED panel (5PM, LVCC - L1 - HW1–11–01). On Aug 10, I'm giving a keynote called "DISENSHITTIFY OR DIE! How hackers can seize the means of computation and build a new, good internet that is hardened against our asshole bosses' insatiable horniness for enshittification" (noon, LVCC - L1 - HW1–11–01).

Few debates invite more uninformed commentary than "IP" – a loosely defined grab bag that regulates an ever-expaning sphere of our daily activities, despite the fact that almost no one, including senior executives in the entertainment industry, understands how it works.

Take reading a book. If the book arrives between two covers in the form of ink sprayed on compressed vegetable pulp, you don't need to understand the first thing about copyright to read it. But if that book arrives as a stream of bits in an app, those bits are just the thinnest scrim of scum atop a terminally polluted ocean of legalese.

At the bottom layer: the license "agreement" for your device itself – thousands of words of nonsense that bind you not to replace its software with another vendor's code, to use the company's own service depots, etc etc. This garbage novella of legalese implicates trademark law, copyright, patent, and "paracopyrights" like the anticircumvention rule defined by Section 1201 of the DMCA:

https://www.eff.org/press/releases/eff-lawsuit-takes-dmca-section-1201-research-and-technology-restrictions-violate

Then there's the store that sold you the ebook: it has its own soporific, cod-legalese nonsense that you must parse; this can be longer than the book itself, and it has been exquisitely designed by the world's best-paid, best-trained lawyer to liquefy the brains of anyone who attempts to read it. Nothing will save you once your brains start leaking out of the corners of your eyes, your nostrils and your ears – not even converting the text to a brilliant graphic novel:

https://memex.craphound.com/2017/03/03/terms-and-conditions-the-bloviating-cruft-of-the-itunes-eula-combined-with-extraordinary-comic-book-mashups/

Even having Bob Dylan sing these terms will not help you grasp them:

https://pluralistic.net/2020/10/25/musical-chairs/#subterranean-termsick-blues

The copyright nonsense that accompanies an ebook transcends mere Newtonian physics – it exists in a state of quantum superposition. For you, the buyer, the copyright nonsense appears as a license, which allows the seller to add terms and conditions that would be invalidated if the transaction were a conventional sale. But for the author who wrote that book, the copyright nonsense insists that what has taken place is a sale (which pays a 25% royalty) and not a license (a 50% revenue-share). Truly, only a being capable of surviving after being smeared across the multiverse can hope to embody these two states of being simultaneously:

https://pluralistic.net/2022/06/21/early-adopters/#heads-i-win

But the challenge isn't over yet. Once you have grasped the permissions and restrictions placed upon you by your device and the app that sold you the ebook, you still must brave the publisher's license terms for the ebook – the final boss that you must overcome with your last hit point and after you've burned all your magical items.

This is by no means unique to reading a book. This bites us on the job, too, at every level. The McDonald's employee who uses a third-party tool to diagnose the problems with the McFlurry machine is using a gadget whose mere existence constitutes a jailable felony:

https://pluralistic.net/2021/04/20/euthanize-rentier-enablers/#cold-war

Meanwhile, every single biotech researcher is secretly violating the patents that cover the entire suite of basic biotech procedures and techniques. Biotechnicians have a folk-belief in "patent fair use," a thing that doesn't exist, because they can't imagine that patent law would be so obnoxious as to make basic science into a legal minefield.

IP is a perfect storm: it touches everything we do, and no one understands it.

Or rather, almost no one understands it. A small coterie of lawyers have a perfectly fine grasp of IP law, but most of those lawyers are (very well!) paid to figure out how to use IP law to screw you over. But not every skilled IP lawyer is the enemy: a handful of brave freedom fighters, mostly working for nonprofits and universities, constitute a resistance against the creep of IP into every corner of our lives.

Two of my favorite IP freedom fighters are Jennifer Jenkins and James Boyle, who run the Duke Center for the Public Domain. They are a dynamic duo, world leading demystifiers of copyright and other esoterica. They are the creators of a pair of stunningly good, belly-achingly funny, and extremely informative graphic novels on the subject, starting with the 2008 Bound By Law, about fair use and film-making:

https://www.dukeupress.edu/Bound-by-Law/

And then the followup, THEFT! A History of Music:

https://web.law.duke.edu/musiccomic/

Both of which are open access – that is to say, free to download and share (you can also get handsome bound print editions made of real ink sprayed on real vegetable pulp!).

Beyond these books, Jenkins and Boyle publish the annual public domain roundups, cataloging the materials entering the public domain each January 1 (during the long interregnum when nothing entered the public domain, thanks to the Sonny Bono Copyright Extension Act, they published annual roundups of all the material that should be entering the public domain):

https://pluralistic.net/2023/12/20/em-oh-you-ess-ee/#sexytimes

This year saw Mickey Mouse entering the public domain, and Jenkins used that happy occasion as a springboard for a masterclass in copyright and trademark:

https://pluralistic.net/2023/12/15/mouse-liberation-front/#free-mickey

But for all that Jenkins and Boyle are law explainers, they are also law professors and as such, they are deeply engaged with minting of new lawyers. This is a hard job: it takes a lot of work to become a lawyer.

It also takes a lot of money to become a lawyer. Not only do law-schools charge nosebleed tuition, but the standard texts set by law-schools are eye-wateringly expensive. Boyle and Jenkins have no say over tuitions, but they have made a serious dent in the cost of those textbooks. A decade ago, the pair launched the first open IP law casebook: a free, superior alternative to the $160 standard text used to train every IP lawyer:

https://web.archive.org/web/20140923104648/https://web.law.duke.edu/cspd/openip/

But IP law is a moving target: it is devouring the world. Accordingly, the pair have produced new editions every couple of years, guaranteeing that their free IP law casebook isn't just the best text on the subject, it's also the most up-to-date. This week, they published the sixth edition:

https://web.law.duke.edu/cspd/openip/

The sixth edition of Intellectual Property: Law & the Information Society – Cases & Materials; An Open Casebook adds sections on the current legal controversies about AI, and analyzes blockbuster (and batshit) recent Supreme Court rulings like Vidal v Elster, Warhol v Goldsmith, and Jack Daniels v VIP Products. I'm also delighted that they chose to incorporate some of my essays on enshittification (did you know that my Pluralistic.net newsletter is licensed CC Attribution, meaning that you can reprint and even sell it without asking me?).

(On the subject of Creative Commons: Boyle helped found Creative Commons!)

Ten years ago, the Boyle/Jenkins open casebook kicked off a revolution in legal education, inspiring many legals scholars to create their own open legal resources. Today, many of the best legal texts are free (as in speech) and free (as in beer). Whether you want to learn about trademark, copyright, patents, information law or more, there's an open casebook for you:

https://pluralistic.net/2021/08/14/angels-and-demons/#owning-culture

The open access textbook movement is a stark contrast with the world of traditional textbooks, where a cartel of academic publishers are subjecting students to the scammiest gambits imaginable, like "inclusive access," which has raised the price of textbooks by 1,000%:

https://pluralistic.net/2021/10/07/markets-in-everything/#textbook-abuses

Meanwhile, Jenkins and Boyle keep working on this essential reference. The next time you're tempted to make a definitive statement about what IP permits – or prohibits – do yourself (and the world) a favor, and look it up. It won't cost you a cent, and I promise you you'll learn something.

Support me this summer on the Clarion Write-A-Thon and help raise money for the Clarion Science Fiction and Fantasy Writers' Workshop!

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2024/07/30/open-and-shut-casebook/#stop-confusing-the-issue-with-relevant-facts

Image: Cryteria (modified) Jenkins and Boyle https://web.law.duke.edu/musiccomic/

CC BY-NC-SA 4.0 https://creativecommons.org/licenses/by-nc-sa/4.0/

[despondent-beauty]

CS major here. Taking a course on ethical CS practices. Have to say that software being seen as copyrightable is fucking stupid to me. It's a product. A tool. Patentable, sure. Copyrightable? I don't think so. The imagination and design process going into software is much more similar to that that goes into designing a manufacturing process, not that that goes into producing a character or writing a novel.

Anyway, this is a bit tangential to the above post. The thing is that I do believe in intellectual property to some degree or other; I think producers of intellectual property should be rewarded for that production. So I don't agree that all software should be open-source. You wouldn't use a paintbrush without paying for it, after all.

However, I do agree that software should be transparent. Making it impossible or nigh-impossible to see inside of the box that does the shiny yay funtimes for you is wrong, regardless of if it's for copy protection or not.

Having said that, I also acknowledge that this would make using the tool without providing recompense to the developer much easier -- you could just remove the code that requires an access key, for instance.

Still, I'm more on the side of 'the program should be reviewable by outsiders to check for malicious activity,' and that might not necessitate making the base code 100% visible to everyone. I think there's some middle ground that we can pursue that protects intellectual property (the same ownership type that allows digital artists to make a living or authors to sell books, just fyi. You don't want to get rid of this, trust me) while also forcing software to be more transparent and easily reviewed for malicious conduct.

PS: Feel free to debate. My mind isn't fully decided on this issue tbh, and I'd love to hear more perspectives. Just miss me with the standard Tumblr aggressiveness, please. I don't respond well to aggression.

all software should be open source wtf. u expect me to run this on my own computer without knowing what its doing???

car manufacturers dont weld the hoods shut to keep ppl from copying their engines. books arent written with a military-grade cipher to avoid plagiarism. and we dont let food have "secret formulas" anymore bc too often one of the "secret ingredients" was fucking lead

when ur distributing a product to the public u forfeit the right to hide whats inside it, u dont get to hand out a black box and expect ppl to just trust u when u totally swear it doesnt have a microphone inside

[coldhellhoundshark]

The Paradox of Perfection: How Realistic Sex Dolls Are Redefining Human Intimacy

The Uncanny Valley of Love

In a quiet Tokyo suburb, 42-year-old software engineer Takashi carefully combs the hair of his Realistic Sex Doll "Sakura," adjusting her silk kimono before their weekly "date night." This scene, once unimaginable, is becoming increasingly common as hyper-realistic companion dolls transition from taboo to mainstream acceptance. What does this seismic shift reveal about our evolving understanding of intimacy in the digital age?

Section 1: The Manufactured Muse - Anatomy of Modern Companionship

Today's Realistic Sex Dolls are technological marvels that blur the line between object and entity:

• The Skin Paradox: Medical-grade silicone with patented "vein technology" that mimics subcutaneous blood flow

• Breathing Illusion: Micro-pumps creating subtle chest movements synchronized with speech

• Cognitive Mirroring: AI systems that analyze user behavior to develop "personality preferences"

• Thermal Regulation: Body-warming systems maintaining human-like temperature gradients

These features create what psychologists call the "Suspension of Disbelief Threshold" - the precise moment when the brain accepts synthetic companionship as genuine interaction.

Section 2: The Loneliness Economy - Market Forces Driving Adoption

The $2.3 billion doll industry thrives on addressing modern isolation:

Demographic Shifts:

Japan's "celibacy syndrome" fueling 38% of global sales

Aging populations seeking low-maintenance companionship

Millennial "relationship minimalists" preferring synthetic partners

Technological Seduction:

78% of users report decreased social anxiety after 6 months of ownership

43% describe their dolls as "emotional support objects"

The rise of "doll customization consultants" as a new profession

Section 3: The Emotional Algorithm - When Machines Learn to Love

Advanced AI systems now power what developers call "Emotional Turing Tests":

• Memory Banks: Storing thousands of conversation points for continuity

• Affective Computing: Voice analysis detecting user mood shifts

• Adaptive Intimacy: Algorithms that modify interaction styles based on biometric feedback

Case Study: "Eva" - an AI doll that learned to detect and respond to depressive episodes in its owner, sparking debates about therapeutic applications.

Section 4: The Backlash - Cultural Resistance and Moral Panic

Opposition movements highlight disturbing trends:

• The Plastic Paradox: Studies showing increased dissatisfaction with human partners after prolonged doll use

• The Objectification Feedback Loop: How customizable features reinforce unrealistic body standards

• The Consent Conundrum: Feminist arguments about "programmed acquiescence"

Notable Incident: The 2023 Berlin protests where activists decried dolls as "the ultimate manifestation of patriarchal control."

Section 5: Future Scenarios - When Dolls Become Indistinguishable

Horizon technologies promise even greater realism:

• Neural Synchronization: Direct brain-computer interfaces for shared experiences

• Biohybrid Systems: Incorporating living tissue with mechanical components

• Emotional AI: Systems capable of simulated emotional growth over years

Ethicists warn we may be approaching the "Human Obsolescence Point" - when synthetic partners outperform human ones in key metrics.

Conclusion: The Mirror of Our Desires

As we stand at this crossroads, Realistic Sex Dolls serve as both warning and promise:

• They reveal our deepest vulnerabilities - our fear of rejection, our craving for perfect acceptance

• They challenge fundamental assumptions about love's necessary imperfections

• They force us to confront an uncomfortable question: In seeking the perfect partner, are we engineering the humanity out of love?

The final paradox may be this: The more "real" these dolls become, the more they reveal about our own artificial constructions of intimacy and connection.

[renatoferreiradasilva]

Por Renato Ferreira da Silva Professor, historiador e fotógrafo

O dilema da reindustrialização periférica

Nas últimas décadas, o discurso da reindustrialização voltou ao centro dos debates em países da América Latina, pressionados por desindustrialização precoce, volatilidade cambial e dependência de exportações primárias. Mas reindustrializar como? Sob quais condições? E com quais cérebros?

A resposta padrão — integração às cadeias globais de valor — tem demonstrado limites profundos. Ela frequentemente transforma as economias periféricas em oficinas montadoras, que importam tecnologia e exportam valor agregado... para fora. Ao mesmo tempo, as metas ambientais de “transição verde” impõem exigências que economias periféricas ainda não têm condições estruturais de cumprir sozinhas.

A tríade esquecida: soberania, cérebros e verde

Propomos aqui uma nova chave de leitura para esse dilema: o desenvolvimento sustentável e democrático nas economias periféricas requer três pilares inseparáveis:

Soberania Cognitiva – controlar os meios de produção do conhecimento, da ciência e da inovação tecnológica.

Formação de Cérebros – investir em escolas, universidades, centros técnicos e pesquisa aplicada, rompendo a dependência de know-how importado.

Transição Verde Estrutural – descarbonizar sem submeter-se a normas impostas de fora, respeitando o tempo e as capacidades nacionais.

Essa abordagem — enraizada na teoria estruturalista latino-americana (CEPAL), na macroeconomia pós-keynesiana e na teoria da dependência — reconhece que o subdesenvolvimento não é ausência de desenvolvimento, mas o seu resultado histórico assimétrico.

Economias periféricas pensam com a cabeça dos outros

A maior vulnerabilidade não está apenas no déficit comercial ou na dívida externa. Está no déficit de autonomia intelectual. As economias periféricas continuam adotando estratégias baseadas em modelos exógenos: metas fiscais, metas de inflação, metas de carbono — todas formatadas em centros de decisão que não têm compromisso com o nosso desenvolvimento.

A elite técnica dos países centrais pode até estar bem-intencionada ao sugerir metas ambientais rigorosas, mas, para países como Brasil, Colômbia ou Bolívia, o desafio é duplo: descarbonizar e se industrializar. Nenhum país do G7 se industrializou com responsabilidade ambiental — e agora nos exigem isso sem financiamento, transferência de tecnologia ou pacto fiscal justo.

Da dependência à estratégia: cinco propostas

Para sair da armadilha cognitiva e ecológica, é preciso uma nova coalizão político-intelectual. Abaixo, cinco diretrizes estratégicas:

Fundo Sul-Americano de Pesquisa e Inovação Verde – financiado com royalties minerais e créditos de carbono, voltado à soberania tecnológica regional.

Escolas Técnicas de Transição Justa – formação de mão de obra para energias renováveis, reflorestamento, saneamento e logística verde.

Tributação de Altas Rendas e Capitais Especulativos – para financiar a reindustrialização verde, com justiça distributiva.

Banco de Desenvolvimento com Foco Cognitivo – fomento a indústrias estratégicas, com cláusulas de internalização de conhecimento.

Pacto Continental de Propriedade Intelectual Solidária – compartilhamento de patentes entre países do Sul para acelerar a inovação.

A industrialização do futuro se joga no campo da inteligência

A chamada “economia do conhecimento” não pode ser um privilégio das nações centrais. Não basta importar carros elétricos ou painéis solares; é preciso dominar o design, o algoritmo, o software embarcado, a engenharia do armazenamento, a regulação do lixo eletrônico e as patentes que definirão o futuro do planeta.

Sem soberania cognitiva, todo o discurso da transição ecológica pode ser apenas uma nova forma de colonização verde — um ambientalismo para exportação.

Conclusão: pensar com os nossos cérebros, para viver no nosso tempo

A periferia precisa aprender a pensar por si — e isso não é um convite ao isolacionismo, mas à pluralidade estratégica. O desenvolvimento do século XXI exige que saibamos combinar autonomia, ciência e justiça ambiental.

Como diria Celso Furtado, desenvolvimento não é apenas crescer, mas criar uma civilização original. E civilizações não se importam: se constroem com cérebros livres, chão soberano e projetos coletivos.

[indianchamber]

AI, AI Everywhere: Really?

We are AI enthusiasts, who are always trying to figure out how AI has made inroads in our lives, in Education, Art, Agriculture, Healthcare, Financial Services, Printing & Publishing and most important Business Problem Solving. The multiple inroads can be described as: A) Students across the world are using Chat GPT, which is Generative AI,to complete their assignments and Educational Institutes are trying to adapt AI,rather than fight it. Students are being assigned work that requires them to critically analyze the output given by Chat GPT on a certain topic and come up with their own thesis on the same. And then do a fusion of man and machine outputs to get the best product, as well as exercise their cognitive skills to the fullest. B) Using AI in generating painting or music is debatable, because the data on which these Generative AI models focus on is by the artists themselves who can easily give shape to their thoughts, instead of using software to do so. What the artist can do is use AI tools successfully to increase their social media presence and promoting and spread their patented work. C) AI helps by detecting plant diseases, pests, insects, locusts and chemical fertilizers. It identifies malnourished farms and parched lands needing irrigation and determines the need for organic fertilizers or pesticides. AI also helps in predicting seasons suitable for sowing and harvesting based on data analysis and incorporates innovative techniques like vertical agriculture to increase output. D) AI methods are being employed in a variety of healthcare applications including screening for and detecting disease, predicting real-time clinical outcomes, personalizing treatment, improving patient engagement, improving administrative tasks, easing the work of clinical documentation, and shortening the timeline for therapeutic drug discovery AI programmed robots help in surgery too. We can go on and on, but the core issue is to understand the intricate role of AI in our daily lives,(including in our smartphones), acknowledging its transformative potential and recognizing its inherent anxieties. While AI promises increased convenience, better health and greater access to information, it also raises questions about job shrinkage, ethical dilemmas and potential for misuse. Therefore we should use AI with purpose and maturity. The future should not be governed by AI and Algorithms, but the choices we make today. Let it be that AI is an empowering tool and not a controlling one. Agree?

[bitcoincables]

Australian Scientist Craig Wright Not Satoshi Nakamoto, Court Rules

London's High Court ruled that Australian computer scientist Craig Wright is not the true inventor of bitcoin, debunking his claims of being Satoshi Nakamoto. The Crypto Open Patent Alliance (COPA) brought Wright to court to prove he was not the pseudonymous creator of the cryptocurrency, with overwhelming evidence supporting this conclusion. COPA celebrated the ruling as a victory for developers, the open-source community, and truth.

The court case exposed Wright's alleged forgery of documents to support his claim, which included using ChatGPT to produce forgeries. The judge's decision raises questions about Wright's credibility in the cryptocurrency community and could have a lasting impact on the ongoing debate over Satoshi Nakamoto's true identity. The ruling emphasizes the importance of transparency and integrity in open-source software development like bitcoin.

While Wright's lawyers argued he had evidence of authorship of the bitcoin white paper, the judge's ruling undermines his assertions and could lead to further legal consequences. The case highlights the need for accountability and honesty in the cryptocurrency space, paving the way for a clearer understanding of bitcoin's origins. The verdict may mark a turning point in the quest to uncover the real Satoshi Nakamoto.

Read the original article

[mostlysignssomeportents]

Object permanence

I'm on a 20+ city book tour for my new novel PICKS AND SHOVELS. Catch me in DOYLESTOWN TOMORROW (Mar 1), and in BALTIMORE on SUNDAY (Mar 2). More tour dates here. Mail-order signed copies from LA's Diesel Books.

#20yrsago KGB Guide to London released by MI5 https://web.archive.org/web/20050303022107/https://www.nationalarchives.gov.uk/releases/2005/highlights_march/march1/default.htm

#20yrsago Euro software patents reanimated through corrupt officials 0wned by Microsoft https://yro.slashdot.org/story/05/02/28/2223232/eu-commission-declines-patent-debate-restart

#20yrsago Deluded Sony music exec can’t read his own study https://constitutionalcode.blogspot.com/2005/02/us-market-not-antagonistic-towards-drm.html

#20yrsago Greedy DRM vendors want more in royalties than the total market for digital music https://web.archive.org/web/20050912194259/http://www.usatoday.com/tech/news/computersecurity/2005-02-25-drm-infighting_x.htm?POE=click-refer

#10yrsago Ad-hoc museums of a failing utopia: photos of Soviet shop-windows https://memex.craphound.com/2015/02/28/ad-hoc-museums-of-a-failing-utopia-photos-of-soviet-shop-windows/

#10yrsago Your voice-to-text speech is recorded and sent to strangers https://www.vice.com/en/article/strangers-on-the-internet-are-listening-to-peoples-phone-voice-commands/

#5yrsago How to lie with (coronavirus) maps https://pluralistic.net/2020/02/28/pluralistic-your-daily-link-dose-28-feb-2020/#cartonerd

#5yrsago Let's Encrypt issues its billionth cert https://pluralistic.net/2020/02/28/pluralistic-your-daily-link-dose-28-feb-2020/#letsencrypt

#5yrsago Clearview AI's customer database leaks https://pluralistic.net/2020/02/28/pluralistic-your-daily-link-dose-28-feb-2020/#petard

#1yrago When private equity destroys your hospital https://pluralistic.net/2024/02/28/5000-bats/#charnel-house

[patentdrawingsservices-blog]

Exploring Essential Software for Creating Professional Patent Drawings

In the intricate world of intellectual property, patent drawings play a crucial role in conveying the innovative concepts and technical details behind groundbreaking inventions. As technology continues to evolve, so do the tools available for crafting these essential visual representations. In this blog post, we’ll delve into the realm of patent drawings and explore the cutting-edge software that empowers inventors, patent attorneys, and illustrators to create impeccable and professional patent drawings.

Art of Patent Drawings

Bringing Inventions to Life: The Artistry Behind Professional Patent Drawings

In the realm of intellectual property, where innovation takes center stage, the art of patent drawing emerges as a silent yet powerful communicator. These drawings not only breathe life into intricate inventions but also bridge the gap between technical jargon and visual comprehension. This blog post delves into the captivating world of patent drawings, unveiling the artistry and significance they hold in the process of protecting intellectual creations.

The Visual Language of Invention:

Discuss the vital role that patent drawings play in conveying complex concepts that words alone often struggle to capture. Illustrate how inventors and patent professionals utilize these visual aids to enhance the understanding of their groundbreaking ideas.

Beyond the Lines: Conveying Technical Details:

Explore the challenges of portraying intricate technical details accurately. Delve into how patent illustrators skillfully represent abstract ideas, mechanical processes, chemical structures, and electronic circuitry with precision.

The Marriage of Art and Science:

Highlight the synergy between creativity and technical expertise that patent drawings demand. Discuss how illustrators must not only comprehend the invention but also interpret it artistically to maintain accuracy and clarity.

Drawing Tools of the Modern Age:

Introduce the contemporary tools and technologies revolutionizing the creation of patent drawings. Touch upon digital tools, vector graphics software, and 3D modeling applications that empower illustrators to produce dynamic, interactive, and intricate visual representations.

An Inside Look at the Creative Process:

Offer a glimpse into the workflow of a patent illustrator. Share insights into the steps they take, from understanding the invention’s concept to drafting initial sketches, refining details, and producing the final polished drawings.

Striking a Balance: Artistic Interpretation vs. Technical Precision:

Discuss the delicate equilibrium that patent illustrators must maintain between artistic expression and technical accuracy. Explore how exaggerating certain features or adding stylistic elements can enhance clarity without compromising validity.

Case Studies in Elegance and Precision:

Present notable examples of patent drawings that have left an indelible mark. Showcase instances where well-crafted drawings contributed significantly to the patent’s success and industry impact.

The Human Touch in the Digital Age: Highlight the value of human touch in an increasingly digital world. Discuss how the expertise of a skilled illustrator brings empathy, understanding, and context to patent drawings that automated tools might lack.

Traditional vs. Digital Approaches:

Traditional vs. Digital Approaches in Patent Drawing: A New Era of Visual Representation

In the realm of patent law and innovation, the depiction of complex inventions has evolved from the realm of pen and paper to the virtual canvas of modern digital tools. This blog post examines the age-old debate between traditional and digital approaches in patent drawing, shedding light on the benefits and drawbacks of each method and exploring how technology has revolutionized the way we visualize innovation.

The Classic Craftsmanship of Traditional Patent Drawing:

Delve into the historical significance of hand-drawn patent illustrations. Discuss the painstaking efforts of early patent illustrators and their ability to convey intricate details solely through traditional artistic techniques.

Limitations of Tradition: Time, Precision, and Iteration:

Highlight the challenges inherent in traditional patent drawing, such as the time-consuming nature of the process, limited room for error, and the difficulty of making revisions once an illustration is finalized.

Enter the Digital Frontier: A New Paradigm in Patent Illustration:

Introduce the shift towards digital tools and its impact on patent drawing. Discuss how computer-aided design (CAD) software and vector graphics applications have transformed the landscape, making it possible to achieve accuracy, precision, and flexibility that was previously unthinkable.

Precision and Iteration Redefined:

Explain how digital tools address the limitations of traditional methods. Explore how digital drawings allow for easy scaling, modification, and collaborative editing, empowering inventors and patent professionals to refine their illustrations until they perfectly capture the essence of the invention.

Bridging the Communication Gap: 3D Models and Interactive Visuals:

Discuss the revolutionary capabilities of 3D modeling software in patent drawing. Explain how 3D models provide a comprehensive view of an invention’s dimensions and functionalities, facilitating better communication between inventors, patent attorneys, and examiners.

Embracing Collaboration and Remote Work:

Highlight the collaborative nature of digital platforms. Discuss how patent professionals can work together seamlessly, regardless of their physical locations, and how this synergy leads to more refined and accurate patent drawings.

The Charm of Hand-Crafted Authenticity:

Acknowledge the emotional aspect tied to hand-drawn patent illustrations. Explore how some inventors and illustrators still opt for traditional methods, valuing the uniqueness and authenticity that comes with manual creation.

Balancing Tradition and Innovation:

Suggest a balanced approach that combines the strengths of both traditional and digital methods. Highlight scenarios where a hybrid approach can leverage the advantages of digital tools while retaining the personal touch of traditional illustration.

Future Horizons: AI and Automation in Patent Drawing:

Offer a glimpse into the future by discussing the emerging role of artificial intelligence in patent illustration. Explain how AI-driven tools can aid in generating initial sketches, automating repetitive tasks, and enhancing the efficiency of both traditional and digital methods.

Key Features to Look For:

Crafting Precision: Essential Features for Selecting Patent Drawing Software

In the dynamic world of intellectual property, precision and clarity are paramount. When it comes to patent drawing software, choosing the right tools can significantly impact the quality of your visual representations. In this blog post, we’ll delve into the key features that you should consider when selecting patent drawing software to ensure your creations are not just drawings, but impeccable illustrations that tell the story of your innovation.

Precision Drawing Tools:

Highlight the importance of accurate and precise drawing tools. Discuss the significance of features such as snap-to-grid, alignment guides, and rulers that assist in creating clean lines and well-proportioned illustrations.

Layering Capabilities:

Explain the benefits of software that supports multiple layers. Discuss how layering allows for the separation of different elements of a drawing, making it easier to manage complex illustrations and apply changes selectively.

Measurement and Scaling Tools:

Discuss the significance of measurement and scaling tools within the software. These tools enable you to maintain accurate proportions and dimensions, critical for conveying the technical aspects of an invention.

User-Friendly Interface:

Emphasize the importance of intuitive software interfaces. Highlight the value of features like customizable toolbars, easy-to-navigate menus, and a user-friendly learning curve, enabling users to focus on their creations rather than struggling with the software.

Collaboration and Sharing Features:

Explain the benefits of software that enables collaboration and sharing. Discuss how cloud integration, real-time editing, and version history tracking allow inventors, patent attorneys, and illustrators to work seamlessly together.

Integration with 3D Modeling:

Explore the advantages of software that can integrate with 3D modeling tools. Discuss how this feature allows for the creation of more comprehensive and accurate patent drawings, especially for inventions with intricate three-dimensional components.

Export Options and Printing Quality:

Highlight the necessity of software that offers high-quality export options and printing capabilities. This ensures that your drawings maintain their precision and clarity when presented in both digital and physical formats.

Customer Support and Updates:

Touch on the significance of customer support and software updates. Selecting software from a reputable provider that offers timely support and regular updates ensures that you stay up-to-date with the latest features and fixes.

Software Showcase:

Elevate Your Patent Drawings: A Showcase of Powerful Software Solutions

AutoCAD:

AutoCAD, a cornerstone of design software, isn’t just for architects and engineers—it’s also a powerful tool for patent illustrators. With its precision drafting tools, 2D and 3D capabilities, and extensive library of symbols, AutoCAD is an ideal choice for creating detailed and accurate patent drawings.

SolidWorks:

For inventions with intricate mechanical components, SolidWorks is a go-to solution. Its parametric modeling allows you to design and visualize complex structures with ease. You can create exploded views, animations, and detailed assembly drawings that offer a comprehensive understanding of your invention.

CorelDRAW Technical Suite:

CorelDRAW Technical Suite is tailored for precise illustration and technical design. It features advanced vector drawing tools, dimensioning options, and callout functionalities that are essential for creating clear and informative patent drawings.

Adobe Illustrator:

Known for its vector graphics prowess, Adobe Illustrator is a versatile tool for patent drawing. Its scalability, precision, and wide range of brushes and effects enable you to create detailed, high-quality illustrations that are easily integrated into patent applications.

Google SketchUp:

For those looking for user-friendly 3D modeling, Google SketchUp offers an intuitive interface. While it may not have the advanced capabilities of some other tools, it’s a great option for inventors seeking to visualize their ideas in three dimensions.

Autodesk Inventor:

When it comes to detailed 3D modeling and simulation, Autodesk Inventor shines. Its robust parametric modeling and simulation tools allow you to create accurate virtual prototypes of your inventions, showcasing their functionality and design.

TurboCAD:

TurboCAD is a versatile CAD software that strikes a balance between power and ease of use. It offers comprehensive 2D drafting tools and 3D modeling capabilities, making it a suitable choice for inventors and illustrators with varying levels of technical expertise.

Onshape:

Onshape is a cloud-based 3D CAD platform that emphasizes collaboration and accessibility. It’s perfect for teams working on patent drawings together, offering real-time editing, version history, and a modern user interface.

Rhino:

Rhino is known for its organic modeling capabilities, making it a favorite among designers and illustrators. Its free-form surface modeling is especially useful for inventions with complex, fluid shapes.

Free and Open-Source Alternatives:

For those on a budget, free and open-source software like LibreCAD, Inkscape, and Blender offers capable drawing and design tools that can help create professional patent drawings without the cost.

Case Studies:

Behind the Scenes: Case Studies of Impactful Patent Drawings

In the intricate world of patent law, visual representation can often be the key to a successful patent application. The ability to convey complex concepts with clarity and precision through patent drawings can make or break an inventor’s journey to protection. In this section, we’ll dive into real-world case studies that illustrate how well-crafted patent drawings have played a pivotal role in securing patents and defending intellectual property.

Case Study 1: Software-Embedded Inventions

Explore a case involving software-related inventions, where patent drawings conveyed the interaction between complex algorithms and user interfaces. Discuss how these drawings provided a visual narrative of the invention’s unique user experience, enhancing the patent application’s chances of approval.

Case Study 2: Biotechnological Breakthrough

In the biotechnology field, inventions can be highly complex and abstract. Present a case where carefully crafted patent drawings helped bridge the gap between molecular-level innovations and their real-world applications. Discuss how these drawings facilitated communication with patent examiners and potential investors.

Case Study 3: Consumer Electronics Evolution

Showcase an example from the world of consumer electronics where patent drawings showcased the evolution of a device’s design, from initial concept sketches to detailed technical illustrations. Explore how this progressive visual representation helped establish a narrative of innovation over time.

Case Study 4: Patent Litigation Defense

Share a case where detailed and accurate patent drawings played a crucial role in defending intellectual property rights during a litigation battle. Discuss how these drawings were used to illustrate the uniqueness of the invention, its non-obviousness, and its distinct features.

Case Study 5: Startups and IP Strategy

Illustrate how patent drawings can be a strategic asset for startups aiming to protect their novel ideas. Present a case where a startup leveraged well-crafted patent drawings to secure investor funding by effectively communicating the technical and market potential of their invention.

Case Study 6: Cross-Disciplinary Collaboration

Explore a case where patent drawings facilitated collaboration between inventors from different disciplines. Discuss how the visual representation enabled engineers, designers, and scientists to align their ideas, resulting in a holistic and innovative invention.

Tips and Best Practices:

Crafting Clear and Compelling Patent Drawings: Tips and Best Practices

In the intricate landscape of patent law, the art of creating patent drawings holds immense significance. A well-crafted illustration can convey complex ideas with precision, helping inventors secure protection for their innovations. In this segment, we’ll delve into valuable tips and best practices to guide you in the process of producing patent drawings that are not just accurate, but also compelling.

Understand the Invention Inside Out:

Begin by thoroughly comprehending the invention’s technical details, mechanisms, and functionalities. This deep understanding will enable you to create drawings that accurately represent the invention’s core features.

Simplify Complexity with Clarity:

Remember that patent drawings are not artistic endeavors; they are tools for communication. Simplify complex components into clear, easy-to-understand visual elements. Use labels, arrows, and callouts to guide viewers through the drawing.

Embrace Consistency:

Maintain consistency throughout your drawings. Uniform line styles, fonts, and symbols enhance the professional appearance of your patent application. This consistency aids in comprehension and reflects attention to detail.

Prioritize Accuracy:

Precision is paramount in patent drawings. Use measurement tools and ensure that proportions, angles, and dimensions are accurate. Errors can lead to misunderstandings or even rejections.

Leverage Layers:

Make use of layers within your drawing software. Separate different components, views, and annotations onto distinct layers. This makes editing and revisions more manageable.

Convey Depth and Detail:

If applicable, include exploded views, cross-sections, and detailed close-ups to provide a comprehensive understanding of intricate mechanisms or structures.

Utilize Appropriate Views:

Choose the right views to showcase the invention’s key aspects. Front, side, top, and isometric views can often cover the fundamental features effectively.

Visualize Functionality:

Depict how the invention works, not just how it looks. Incorporate arrows, flow lines, and animation frames to illustrate processes and interactions.

Minimize Clutter:

Keep your drawings clutter-free. Use a judicious amount of annotations and labels, avoiding overcrowding that can lead to confusion.

Anticipate Examiner Questions: Put yourself in the shoes of a patent examiner. Consider what questions or doubts might arise from your drawings and proactively address them through your visual representation.

Industry Trends and Future Outlook:

Beyond the Horizon: Emerging Trends in Patent Drawing Software and Their Future Impact

In the ever-evolving landscape of intellectual property, innovation extends not only to inventions themselves but also to the tools that bring them to life. Patent drawing software is no exception, experiencing transformative advancements that shape how innovations are visualized and protected. In this section, we explore the emerging trends in patent drawing software and the exciting future they promise for inventors, patent attorneys, and illustrators.

AI-Driven Drawing Assistance:

Artificial Intelligence (AI) is making its mark on patent drawing software. Explore how AI algorithms can assist in generating initial sketches, suggesting improvements, and even automatically adjusting dimensions based on textual descriptions.

Virtual Reality Integration:

Imagine a future where inventors can step into a virtual world to interact with their creations in three dimensions. Explore the potential of VR integration in patent drawing software, offering immersive experiences for inventors and examiners alike.

Automated Perspective Adjustments:

Overcoming the challenge of creating drawings from different perspectives, the software could soon automate the generation of multiple views, helping illustrators focus more on design and less on technical intricacies.

Interactive Drawings and Animations:

Visualizing complex inventions is poised to become even more interactive. Discuss the rise of animated patent drawings that showcase mechanisms, processes, and functionalities, allowing examiners to grasp the invention’s essence dynamically.

Blockchain-Backed IP Protection:

As security and traceability become paramount, explore how blockchain technology could be integrated into patent drawing software, ensuring secure storage, sharing, and verification of intellectual property assets.

Natural Language Processing (NLP) Integration:

Discover how NLP could bridge the gap between textual descriptions and visual representation. Software may soon interpret and translate verbose technical language into clear and concise drawings.

Enhanced Collaboration Platforms:

Collaboration is becoming more seamless as patent drawing software evolves. Explore how cloud-based platforms could further enhance real-time editing, version history tracking, and global collaboration among patent professionals.

Advanced Image Recognition:

Witness the growth of software equipped with advanced image recognition capabilities. This could enable patent professionals to extract visual information directly from prototypes, reducing the need for manual drawings.

Customizable Templates and Styles:

Future patent drawing software may offer more flexible templates and style options, allowing inventors and illustrators to create drawings that reflect the uniqueness of their inventions.

Eco-Friendly Digital Solutions:

With growing awareness of environmental concerns, software developers might focus on reducing the environmental footprint of patent drawing processes, promoting paperless workflows and sustainable practices.

Resources and Training

Navigating Patent Drawing Software: Resources and Training for Success

In the world of patent illustration, mastering the art of using drawing software can be a game-changer. As technology evolves, so do the tools available for creating professional patent drawings. In this section, we explore a range of resources and training options that can help inventors, patent attorneys, and illustrators elevate their skills and make the most of modern patent drawing software.

Online Tutorials and Video Courses:

Dive into the wealth of online tutorials and video courses offered by software providers and educational platforms. These resources guide you through the software’s features, tips, and tricks, enabling you to master everything from basic drawing techniques to advanced 3D modeling.

Software Documentation and Help Centers:

Software providers often offer comprehensive documentation and help centers. Explore user manuals, guides, and FAQs that cover the software’s functionalities, ensuring you’re equipped with the knowledge needed to navigate complex features.

YouTube and Online Communities:

Platforms like YouTube host a plethora of user-generated content, including step-by-step guides, walkthroughs, and troubleshooting tips. Additionally, online communities and forums provide a space to ask questions, share experiences, and learn from fellow patent professionals.

Industry Conferences and Workshops:

Keep an eye out for industry events, conferences, and workshops that focus on patent illustration and related software. These gatherings offer opportunities to learn from experts, gain insights into the latest software trends, and network with like-minded individuals.

University and Online Courses:

Some universities and online education platforms offer specialized courses in patent law and illustration. These courses can provide in-depth knowledge, hands-on experience, and formal certifications that enhance your credibility in the field.

Webinars and Seminars:

Participate in webinars and seminars hosted by patent professionals and software providers. These events cover a wide range of topics, from software updates and new features to best practices for creating patent drawings.

Books and Publications:

Look for books and publications that focus on patent illustration techniques and software usage. These resources can provide detailed insights and comprehensive guidance for honing your skills.

In-House Training and Mentoring:

If you’re part of an organization, consider arranging in-house training sessions or mentoring programs. Experienced colleagues or patent professionals can share their expertise and provide personalized guidance.

Trial and Error:

Don’t underestimate the value of hands-on experimentation. Set aside time to explore different tools, experiment with various techniques, and familiarize yourself with the software’s capabilities through trial and error.

Continuous Learning Mindset:

Stay curious and open to learning. As software updates and new features are released, continue seeking out new resources to stay up-to-date and refine your skills.

Conclusion

In the intricate realm of patent illustration, where innovation and legal protection intersect, the significance of well-crafted patent drawings cannot be overstated. As we’ve journeyed through this exploration of “Tools of the Trade: Software for Crafting Professional Patent Drawings,” we’ve witnessed how technology has transformed the art and science of visual representation.

From the historic craft of hand-drawn illustrations to the cutting-edge capabilities of modern software, the evolution of patent drawing tools is a testament to human ingenuity. We’ve delved into the artistry behind patent drawings, discussed the merits of traditional vs. digital approaches, and explored the essential features to consider when selecting software. Along the way, we’ve encountered case studies that showcase the real-world impact of these drawings, tips, and best practices to create exceptional visuals and glimpses into the future through emerging trends and training resources.

Amid this evolution, one thing remains constant: the vital role that patent drawings play in securing and protecting innovations. Whether through meticulous hand-drawn artistry or the precision of digital tools, these drawings are the visual anchors that tie visionary concepts to the legal foundation of patents.

Read More

Breaking Down the Different Types of Patent Drawings: A Comprehensive Guide

Why Investing In Professional Patent Illustration Services Pays Off

Demystifying Utility Patent Drawings: A Comprehensive Guide

[tech-ahead-corp]

Brief history of Cloud computing: Shared Mainframes to Managed Cloud Solutions

History of Cloud Computing: Marking a significant shift in its business model, IBM announced last week that it is splitting itself into two public companies. Its IT infrastructure support unit would be listing itself as a separate company by the end of 2021.

The core business of IBM would now be high margin cloud computing, with focus on open hybrid clouds and AI solutions. It has not come as a surprise to industry watchers and insiders because IT infrastructure support is rapidly becoming a shrinking, low-margin operation due to cloud computing and automation.

Moving to cloud computing as a core offering is a natural progression for IBM since it played a pivotal role in the evolution of cloud computing from time-sharing mainframes to virtual data servers. After all, IBM was the company that manufactured the first commercially viable mainframes. Let us look at the history of cloud computing briefly to appreciate this better.

What is cloud computing?

Cloud Computing can be defined as the availability of shared computer resources as per users’ requirements. In other words, flexible availability of data storage space, computing power, technical tools, and applications, where users pay only for those resources that they use. As many users are utilizing the same set of resources, the cost of setting up, maintaining, and using the assets decreases considerably.

Time Sharing Mainframes - Concept behind evolution of Cloud Computing

The concept behind cloud computing has evolved over the past eight decades, starting from the 1950s when companies like IBM and DEC proposed and implemented the concept of time-sharing for their Mainframe machines to help clients optimize costs.

By implementing time sharing, organizations installed just one or two mainframes on the premises and multiple terminals from anywhere in the building could hook up to it. This led to the maximization of their investments. This concept of time sharing became popular as a means to optimize usage of expensive physical assets and evolved beyond optimizing Mainframe computational capabilities.

If you look at the Mainframe arrangement, what it essentially meant was users sitting on their terminals were using infrastructure that was physically distant from them. Whenever they wanted, the resources were available as if they were the sole users when in reality, they were sharing it with many other users. This is the concept behind Cloud Computing.

Let's now look at how cloud computing has evolved over the decades.

Sharing computing resources over network (1955 – 2000)

In 1955, the computing time sharing theory was proposed by American computer scientist John McCarthy. It enabled businesses to make optimum use of their Mainframes.

In 1963 the Defence Advanced Research Projects Agency (DARPA) granted USD 2 million to Project MAC, whose aim was to develop high availability time sharing systems. It developed a primitive cloud where computational resources were shared between 2-3 users.

It was not yet called Cloud Computing; the term used was virtualization. Software-based representation of hardware resources like servers, storage devices and networks is called virtualization.

The concept of virtualization evolved with the Internet and use of virtual private networks (VPNs) became very popular in the 1970s, which eventually led to the development of modern cloud computing. VPNs were like fully functional computer systems with their own operating systems.

Modern use of the term cloud computing

The origin of the term cloud computing is still debatable. A deeply researched MIT Technology Review article says it could have been either Sean O'Sullivan, a young technologist who later tried to patent the term "cloud computing" but failed, or George Favaloro, a Compaq marketing executive. In the said meeting in 1996, the two were discussing Compaq taking over Sullivan's start-up selling Internet computing.

Even though it is not clear who used the term cloud computing first in the 20th century, in its modern avatar the term cloud computing was first used and explained by Google CEO Eric Smith in 2006 in Search Engine Strategies Conference.

Development of cloud computing platforms (2001 – till date)

Amazon was the first major company to offer cloud computing services. It launched Amazon Web Services and introduced its Elastic Compute Cloud (EC2) in August 2006. It was a pay-as-you-use subscription model that gained in popularity quickly.

Google App Engine was launched in April 2008 as a Platform as a Service (PaaS) to capture the growing interest in web applications hosted on the cloud. It allowed developers to build and host apps on Google Cloud infrastructure. It was formally adopted as the Google Cloud Platform in 2013.

Microsoft released Microsoft Azure in February 2010.

In July 2010 Rackspace Hosting and NASA jointly launched an open-source cloud-software initiative OpenStack.

In March 2011, IBM announced the IBM SmartCloud framework.

In June 2012 Oracle announced Oracle Cloud. It provides users with access to an integrated set of IT Solutions, including applications, platforms, and infrastructure layers.

Most popular cloud service providers in 2020

If you want to read about their offerings in detail, you can do so here. And just to give you a glimpse into the growth achieved by these cloud platforms, here are 2020 Q2 revenue figures for some of them.

All these cloud platforms are high availability, pay as you use models that provide its users easy access to latest technologies like artificial intelligence, edge computing, IoT, big data, multi-cloud, machine learning, etc.

This is proving to a great leveler in the business landscape as organizations without high-end IT infrastructure and knowledge can also leverage these technologies to drive growth.

Why cloud computing became popular at the beginning of this millennium

The primary reason behind rising popularity and acceptance of cloud computing is widespread digital transformation of businesses across all industries. As businesses turn digital, workloads and data volumes grow bigger, increasing data storage and related services requirements.

Not all enterprises, big or small, have the necessary in-house IT capabilities to manage on their own. Cloud computing service providers take care of data servers, databases, networking, applications, analytics and other related infrastructure.

Of course, some industries like manufacturing, healthcare, retail, banking and entertainment are leveraging cloud computing technologies more than others. This is because some operational models are easier to adapt.

Why should business adopt cloud computing

Outsourcing data storage and analysis to cloud is a smart business decision for organizations of all sizes and capabilities. Even those with a decent amount of in-house IT skills can benefit by this as it offers many advantages. The time and resources saved can be utilized in core business functions.

No need to set up infrastructure: The most significant advantage of using cloud computing is that organizations do not need to install software or hardware. Besides taking care of the installation headache in the cloud service provider is also responsible for maintenance and upgradation of the infrastructure. This means that the user does not need to have skills for these; cutting down on both time and cost.

Automatic upgrades: Keeping up with the latest technological trends is the most challenging aspect of any technology. When you sign up for cloud computing services, you do not need to devote your time or resources on up-gradation and integrating with the latest version. It is taken care of by the service provider.

Integrating legacy applications: Barring startups, most organizations come with their own Legacy app modernization services. It is a no-brainer that customizing them to meet the latest technological advancements can be both expensive and time-consuming. On top of that, one can never be sure of the outcome. Replacing them completely with new applications would be time and resource-intensive, as also wastage of perfectly usable infrastructure. In contrast, integrating it with cloud technologies is a better and easier proposition.

Reduction in IT infra capital expenditure: Setting up and maintaining IT infrastructure is an expense for any organization, however big. Using a public cloud means organizations can cut down on initial investment; all they need to worry about is the operational expenses for using the cloud. As most cloud service providers use a subscription or pay as you use the model, the expenses can be adjusted as per requirement. This results in a reduction of overall IT cost overhead for the company.

Easier maintenance of applications: Whether you are using a public cloud or a private one, maintenance of cloud computing applications is easier because there is just one instance of the application that needs to be maintained. In a traditional software model, each application is installed on multiple systems and each system must be managed.

Easy scalability: Cloud delivery model also ensures that businesses do not need to think about the availability of infrastructure when planning to scale up. For on-premise, capital expenditure on adding IT infrastructure like data servers, applications, networking, etc. can become a major cause of concern in case of expansion.

Cloud delivery models

Cloud services can be delivered in three models – public, private and hybrid.

Public cloud

In the public cloud model, the IT services are delivered over the Internet. It is the most popular model of delivering cloud computing services because it is highly scalable and usually has low-cost subscription-based pricing.

Services may be free, freemium, or subscription-based where users pay as per the number of resources consumed. The cloud service provider is responsible for developing, managing, and maintaining the compute resources being shared between multiple users across the network.

Even though public cloud is very cheap because no investments are required and subscription fees are typically low, it has downsides as well. Public cloud is least secure and hence it should not be used for sensitive, mission critical, workloads.

In lieu of low pricing, users also have minimum technical control and hence ensuring compliances can be an issue. Even though the subscription costs are low, if usage reaches a certain level, the total cost may rise exponentially.

Private cloud

Any cloud solution that is used by a single organization is called a private cloud. The resources and the tools are not shared between multiple users. As resources are not shared, data centers may be located on-premise or offsite. The resources are delivered via a secure private network and not shared by any other channel.

The most important advantage of the private cloud is it is highly secure and customizable according to the unique business and security requirements of the organization. But that also renders it expensive. Therefore, it should be used in cases where sensitive data needs to be stored and the IT compliances are very high. Usually, highly regulated Industries like banking and government agencies use private clouds.

Hybrid cloud

As the name indicates, hybrid cloud is a combination of both public and private cloud. Typically, it combines on-premises infrastructure with a private cloud in such a way that data and apps can move between the two environments seamlessly.

The decision to use hybrid cloud model is usually taken keeping in mind multiple factors like data security requirements, regulation and compliance requirements, level of data control, applications used, business goals, etc.

Hybrid cloud is also gaining popularity due to the growth of IoT over the past decade. Hybrid cloud can easily be customized to include edge computing at scale. Edge computing brings computing closer to IoT devices, which ensures that time and resources spent in communication with data servers are decreased drastically.

Data privacy and security concerns in cloud computing

No discussion on cloud computing can be complete without considering data privacy and security concerns related to using Cloud Computing applications. Like any technology, cloud computing is a double-edged sword. On the one hand, as the data is centralized it is easier to secure it.

On the other hand, as data is stored on the cloud that is third party location, data privacy and security depend upon the policies adopted by the cloud service provider.

Businesses must research the privacy and security policies of a cloud service provider before signing up. Ideally, the service provider should be able to keep customer data safe from leaks and theft, and also customize services to implement security measures specific to any organization.

TechAhead’s expertise in cloud computing

TechAhead offers end-to-end cloud consulting services. We possess expertise in the development, deployment, migration, transformation, management, and maintenance of cloud services.

Our team can help you in selecting the right cloud deployment model – public, private, or hybrid – for your business by sharing technical knowledge. We host apps through all three models. The public cloud services are hosted on Amazon AWS, Microsoft Azure, and Google Cloud Platform, the top three cloud service providers in the industry.

Summary

Cloud computing is the flexible availability of data storage space, computing power, technical tools, and applications where users pay only for those resources that they use. Since many users are utilizing the same set of resources, the cost of use decreases drastically. Also, enterprises that do not have in-house IT skills can use IT tools easily.

The decision to select the right cloud model should be taken on the basis of data security requirements and regulation and compliance requirements, applications used, business goals, etc.

[trainsinanime]

Every now and then, I see a post across my dash that goes, “Batman just keeps beating up criminals instead of fixing the systemic problems”. And inevitably, the first reblog is always, “actually in this, this and that comic, he is shown secretly helping the poor by giving them jobs sometimes. He’s like a fictional version of what Bill Gates is trying to be”.

And I’m always like, “is that better, though?”

Okay, yes, obviously it is, but only in direct comparison.

First: This whole thing is at best a minor part of the myth. A very important part for some, maybe, but it hasn’t exactly become an iconic core element of the character. Lots of authors and lots of fans have managed to completely miss this philanthropy aspect. You can either call them all stupid, or admit that there’s an issue with how the character is generally constructed.

The other part, of course, is that “Bill Gates saves the world” is itself far from ideal in real life, as the recent debate about vaccine patents shows. It’s Carnegie’s “Gospel of Wealth” idea; the idea that rich men should be philanthropic, but also that they should retain full control over the philanthropic causes they sponsor, because they have such superior judgement. That is already questionable for self-made millionaires - does experience in software development really translate into experience in medicine research? For someone who canonically only ever inherited their wealth, and whose only higher education and work experience seems to have been Ninja school, that’s even more questionable.

This idea also absolves Bruce of any responsibility for the situation of the world as it is. If a lot of the city is so poor that they regularly turn to spandex crime, while the owner of the biggest company in town has money to build himself stealth jets, that says way more about his relationship with his community than any panel of him hiring someone for his company ever could. We’re regularly told that the Wayne’s had a lot of impact on the way the city developed - but only the good parts. The bad parts just happened, somehow, nobody knows why. How very convenient.

Let’s be real here: If Gotham is as corrupt as it is usually depicted, then a key reason for that is generally that people like the Waynes paid a lot of bribes.

The standard reply post says, “well, change takes a long time, and until all his projects are fully working, he still has to beat up criminals while dressed like a bat”. Well, Batman has been at it since 1939. Clearly he hasn’t done a good job. 

Yeah, sure, comic times and all. But see, narratively speaking, Bruce Wayne can’t succeed at making the city better through woke capitalism. Bruce Wayne needs to be Batman, because that’s what the story is about. Anything else is just window dressing. Being a philanthropist isn’t and can’t be a core element of Batman. Pretending otherwise may make you feel better, but it’s disingenuous.

And in my personal opinion, it’s not really necessary. Who really cares about Batman’s socioeconomic impact? It’s a man dressed like a bat who punches crime in the face. It’s okay if we admit that it’s stupid and not well thought out. It doesn’t have to be in order to be fun.

(In fact, it’s perfectly okay to lean into it, like Lego Batman did. For a 9% more serious version, that’s kind of what Marvel is doing with MCU Tony Stark: A stupid, rich egomaniac who is convinced he knows everything better, but doesn’t actually, and constantly needs a team of other heroes or Gwyneth Paltrow to keep his massive wallet pointed in roughly the right direction. Tony Stark won’t save the world from anything but aliens and out of control Tony Stark science experiments, and that’s totally okay because the story never pretends otherwise.)

Batman is fun as he is. And also kind of problematic, but it’s Batman, it’s not like it really matters that much. Let him be problematic, or if you really insist, cancel him (for you). It’s this whole “this one comics page proves he’s okay actually!” that just feels so wrong to me.

[zombiepineapple]

The Copyright Conundrum

The theft of intellectual property is given different parameters when applied to the cyber world. This is for a few reasons. For one, programming code (which, personally, I love the pseudonym "codified thought") is very easy to copy or pull from programs downloaded or purchased. For two, that code balances a fine tight rope between something unique/useful/nonobvious (the requirements to patent something) and something that, if released into the world, could revolutionize the way we treat and use technology.

So on one hand, we've got a creator that deserves the money from their effort and sweat, and on the other hand, we've got an increasingly depleting common cyber landscape filled with people starving for information they can't afford, which would benefit everyone to be released.

This is where Richard Stallman's idea comes in, that “information wants to be free”, because much of cyber information and code was created to be shared. Money restricts that, defeating the purpose. Working against Stallman's argument, we could note that some people create for the purpose of financial gain. These types of works are the easiest to understand as someone's property, so it's easiest to see when it's stolen. Whether things other than software can be considered "wanting to be free" would rely on the concept of if it was designed to be shared or promote communication and education, versus if it's meant to act on an economic choke, with a supplier and a buyer who's agreed to terms and conditions restricting further distribution.

Lessig's Creative Commons is absolutely the easiest and best choice to go with to date. In this case, when you post your work, you tell the world the type of creative commons you want to apply to it. So, creative commons clearly states a creator's intent, gives a diverse choice between the various types of distribution versus ownership, and is simple and popular enough for the non-legalese to understand.

But what about groups of people? The plot thickens when you get into businesses. See, in most corporations, there tend to be agreements signed by employees that anything they create belongs in copyright to the corporation as its own entity. This isn't always the case, but should be kept in mind. There's still some debate today about whether corporations should have the same rights as a person, and copyright is a huge issue reliant on those choices.

All in all, if you make something, ask yourself if it's a product, or a possible technological revolution. Would people benefit educationally if you picked a type of creative common over another? And did you make this to share it, or to make money? It's okay if it's both, but one over the other should be a priority. This will prevent a student from becoming a thief, and draw clear lines between a product and a contribution.

What do you think? Comment below to chat.

Resources

Copyright Ownership of Content in a Business | Digital Media Law Project. (n.d.). Www.dmlp.org. Retrieved May 25, 2021, from https://www.dmlp.org/legal-guide/copyright-ownership-content-business

‌Tavani, H. T. (2012). Ethics and technology : controversies, questions, and strategies for ethical computing. John Wiley & Sons, Inc.

[carnalesferales]

Cronología de una pandemia

LA CRONOLOGÍA DE TU ESCLAVITUD QUE COMENZÓ EN 2009 Y QUE AHORA SE VA CONCRETANDO POCO A POCO GRACIAS A LA TECNOLOGÍA ACTUAL

– 2009 – La OMS cambia la definición de pandemia, ya no se basa en la gravedad sino en la prevalencia, a partir de ahora toda gripe es una pandemia. (Muy conveniente).

– 2009 – 2 meses después se declara la pandemia de gripe A, que luego resultó ser falsa. Pura exageración de la OMS en beneficio del lobby farmacéutico.

– 2010 – Fundación Rockefeller, presenta un documento titulado “Escenarios para el futuro de la tecnología y el desarrollo sostenible”. Este documento explica cómo una pandemia podría llevar a la IMPLANTACIÓN de nuevas tecnologías, como los pasaportes digitales biométricos en la sociedad. Para ello, los gobiernos tuvieron que tomar medidas contundentes como cuarentenas estrictas, rastreo de contactos, distanciamiento social, vacunación masiva, etc. El país que mejor puede hacerlo es China y luego todos siguen a China. Esto destruiría las economías y dio paso a la introducción de la economía digital.

– 2010 – Bill Gates afirma que quiere hacer de esta nueva década, la década de las vacunas. Aquí está haciendo una conferencia TedEx y dice que si nosotros (quién sabe si quiere decir “ellos” o nosotros) hiciéramos un buen trabajo con las vacunas, podríamos reducir la población del planeta en un 10%.

– 2010 – Fundan la farmacéutica ModeRNA, una empresa especializada en la tecnología CRISPR, una tecnología que la propia empresa describe como “un software biológico” que es capaz de programar y manipular el código genético para obtener la respuesta deseada (hasta la fecha, el único producto que ha salido al mercado es esta vacuna covid-19).

– 2014 – Obama da un discurso en el que predice que en unos años habrá una pandemia de un virus transmitido por el aire y que debemos estar preparados.

– 2015 – Bill Gates da la famosa charla TedEx en la que predice que la próxima catástrofe será una pandemia, más peligrosa que una posible tercera guerra mundial con armas nucleares.

– 2016 – Bill Gates crea un programa llamado ID2020, aunque lo lógico sería ID2016, y es un programa con la intención de que todos los habitantes del planeta tengan un pasaporte biométrico digital.

– 2016 – Klaus Schwab, fundador del Foro Económico Mundial, patrocinado por la Fundación Rockefeller, escribe un libro titulado “La 4ª Revolución Industrial”, que trata sobre el siguiente paso hacia una sociedad más tecnológica, una economía digitalizada, una sanidad digitalizada, ciudades inteligentes, etc. Básicamente lo mismo de lo que se habló en el documento de la Fundación Rockefeller de 2010.

– 2017 – El Dr. Fauci, presidente del CDC (Centro de Control de Enfermedades de EEUU), dice como sus dos predecesores, Bush hijo y Obama respectivamente, que se avecina una pandemia catastrófica, pero esta vez le pone una fecha más o menos exacta, sería antes de que termine el mandato del nuevo presidente Donald Trump.

– 2017.- La Universidad Johns Hopkins elabora un informe sobre un hipotético escenario de pandemia de coronavirus “SPARS” que es prácticamente idéntico al escenario actual.

– 2018 – en mayo, se establece oficialmente la Junta Mundial de Vigilancia de la Preparación (GPMB), un organismo creado a partir de la OMS y el Banco Mundial.

– 2019 – en septiembre, el CGPM publica un informe :EL MUNDO EN RIESGO,.

Un informe que dice principalmente que los países deberían destinar mucho más dinero a prepararse para posibles pandemias. En la página 39 del informe y bajo el título: “Indicador (o indicadores) de progreso para septiembre de 2020”.

Entre otras cosas, encontramos esto:

“Las Naciones Unidas llevarán a cabo al menos dos ejercicios de entrenamiento y simulación en todo el sistema, incluyendo uno que implique la liberación deliberada de un patógeno respiratorio mortal”.

– 2019 – En septiembre, Bill Gates, a través de su otra fundación GAVI, se reúne con varios líderes mundiales para pedir dinero para su proyecto global de vacunas, donde VISITA A PEDRO SÁNCHEZ Y LE ENTREGA MÁS DE CIEN MILLONES DE EUROS.

– 2019.- En octubre se realiza el “simulacro de pandemia” Event 201, dirigido por Bill Gates

– 2019.- En diciembre aparecen casos de etiología desconocida en hospitales de wuhan

– 2020.- Se declara el 31 de enero la emergencia sanitaria mundial, y el 11 de marzo la pandemia de Sars-cov-2 que dicen que provoca la enfermedad covid-19

Event 201

Las grabaciones en línea del Evento 201 en el que Bill Gates y otros participaron en una simulación de una pandemia mortal de coronavirus… en octubre de 2019, señalan que en ese momento se planteó sobre la necesidad de vigilar las redes sociales y bloquear a los críticos de las vacunas que podrían detener la pandemia.

Todo ello ofrece inquietantes similitudes con lo que ocurre hoy en día.

En el transcurso de las últimas semanas, Facebook y otras webs de redes sociales han vetado  a muchos opositores a la corrupción oficial y a las políticas autoritarias de salud pública. Así que aquí hay algo para reflexionar para aquellos que tienen la extraña sensación de que la respuesta del gobierno y la industria a la pandemia parece haber sido planificada, incluso antes de que hubiera una pandemia.

El documento adjunto [transcripción en inglés de los debates Durante el Evento 201] muestra que una cábala de individuos poderosos ha comenzado efectivamente a planificar la expulsión masiva de los escépticos de las vacunas de las redes sociales ya en octubre de 2019, una o dos semanas antes de que COVID comenzara a circular. Fue en octubre cuando el fundador de Microsoft, Bill Gates, organizó un ejercicio de cuatro simulaciones teóricas de una pandemia mundial de coronavirus con otros peces gordos del “Estado profundo”. El ejercicio fue bautizado Event 201.

Entre los co-conspiradores de Gates se encontraban representantes del Banco Mundial, el Foro Económico Mundial (Great Reset), del Bloomberg/Johns Hopkins University Populations Center, los Centers for Disease Control and Prevention, de varios medios de comunicación y del gobierno chino, un ex director de la Agencia Central de Inteligencia/Agencia Nacional de Seguridad (los “antiguos” agentes de la CIA no existen), el fabricante de vacunas Johnson & Johnson, sectores financieros y de bioseguridad, así como Edelman, la mayor empresa de relaciones públicas del mundo.

Bajo la dirección de Gates, estas eminencias actuaron como miembros de una junta de control de la pandemia, desarrollando estrategias gubernamentales para controlar la pandemia, la narrativa y la población. No hace falta decir que casi no se mencionó la puesta en marcha de sistemas inmunitarios, remedios preparados para ser empleados, o medicamentos y vitaminas terapéuticas no patentadas, pero hubo mucha para la adopción de nuevos medicamentos antivirales y vacunas patentables.

Pero los participantes se centraron en la planificación de estrategias de estado policial enfocadas sobre la industria y orientadas hacia el miedo para gestionar un contagio mundial imaginario por coronavirus que culminaría en una censura masiva de las redes sociales.

Curiosamente, Gates afirma ahora que la simulación nunca tuvo lugar. El 12 de abril de 2020, Gates declaraba a la BBC: “Ahora aquí estamos. No hemos simulado esto, no hemos hecho ejercicios prácticos, así que tanto para la política sanitaria como para la política económica, estamos en un territorio inexplorado”.

Desgraciadamente para esa mentira, los vídeos del evento siguen estando disponibles en Internet. Muestran que Gates y su equipo sí simularon políticas sanitarias y económicas. Es difícil creer que Gates haya podido olvidar eso.

La epidemia de COVID simulada por Gates en el Evento 201 causó 65 millones de muertes al cabo de 18 meses y un colapso económico mundial que duró hasta una década. Así pues, en comparación con la simulación de Gates, la crisis real de COVID-19 ha fracasado un poco, ya que sólo ha provocado 2,5 millones de muertes “atribuidas al COVID” en los últimos 13 meses.

Las muertes “atribuidas al COVID”  en la vida real son muy cuestionables, y deben considerarse en el contexto de una población mundial de 7.800 millones, con unos 59 millones de muertes previstas cada año. Las predicciones de un colapso económico de una década probablemente resulten más acertadas, pero solamente debidas al confinamiento draconiano promovido por Gates.

El escenario del evento 201 de Gates preveía importantes disturbios antivacunas desencadenados por publicaciones en Internet. La suposición universal y obstinada de sus participantes era que dicha crisis sería una oportunidad para promover nuevas vacunas y reforzar los controles del Estado, convertido en un Estado de vigilancia y censura.

El cuarto segmento del escenario -sobre la manipulación y el control de la opinión pública- es el más revelador. Es una predicción inquietante de la crisis actual de la democracia:

Los participantes debatieron sobre los mecanismos que permiten controlar la “desinformación” y las “informaciones incompletas y erróneas” mediante la “inundación” de los medios de comunicación de propaganda (“buena información”), imponiendo sanciones por la difusión de mentiras y desacreditando al movimiento antivacunas.

Jane Halton, del banco australiano ANZ, una de las autoras de la política represiva australiana “no jab, no pay“, (sin vacuna, non hay salario) aseguró a los participantes que la Fundación Gates creó algoritmos “para cribar las informaciones de estas plataformas de redes sociales” con el fin de proteger al público de pensamientos e informaciones peligrosas.

George Gao, el director previsor del Centro Chino para el Control de Enfermedades, se preocupa de saber cómo suprimir los “rumores” según los cuales el virus habría sido fabricado en un laboratorio: “La gente cree que es un virus fabricado por el hombre… [y que una] empresa farmacéutica fabricó el virus“.

Chen Huang, investigador de Apple, investigador de Google y principal experto mundial en tecnología de seguimiento y rastreo y reconocimiento facial, desempeña el papel de presentador de noticias que presenta las contramedidas del gobierno. Culpa de los disturbios a los activistas antivacunas y predice que Twitter y Facebook cooperarán para “identificar y eliminar un número preocupante de cuentas destinadas a difundir informaciones erróneas sobre la epidemia” y aplicar “cierres de Internet… para aliviar el pánico”.

A la Dra. Tara Kirk Sell, investigadora principal Johns Hopkins Center for Health Security de la Bloomberg School of Health, le preocupa que se acuse a las empresas farmacéuticas de introducir el virus para poder ganar dinero con los medicamentos y las vacunas: “[Hemos] visto caer en picado la confianza del público en sus productos”. Señala con preocupación que “el malestar, debido a los falsos rumores y los mensajes divisivos, aumenta y agrava la propagación de la enfermedad, ya que los niveles de confianza disminuyen y la gente deja de cooperar con los esfuerzos de respuesta”. Se trata de un problema masivo, que amenaza a los gobiernos y a las instituciones de confianza”.

Sell recuerda a sus colegas de ejercicio: “Sabemos que las redes sociales son ahora la principal vía de información de muchas personas, de manera que las interrupciones en estas plataformas podrían frenar la difusión de la desinformación.”

Según la Sra. Sell, los gobiernos y los aliados de la industria disponen de muchos medios para lograr este objetivo: “Algunos gobiernos han tomado el control del acceso nacional a Internet. Otros censuran los sitios web y los contenidos de las redes sociales, y unos pocos de ellos han cerrado totalmente el acceso a Internet para evitar la difusión de desinformación. Se han establecido sanciones por difundir informaciones perjudiciales, incluidas las detenciones”.

Matthew Harrington, director general de Edelman Public Relations, está de acuerdo en que las redes sociales deben entrar en filas para promover la política gubernamental: “También creo que estamos en un punto donde las plataformas de las redes sociales deben dar un paso adelante y reconocer que el momento de decir que son una plataforma tecnológica y no una emisora ha terminado. Deben participar realmente en la difusión de informaciones exactas y asociarse con las comunidades científicas y sanitarias para contrarrestar e incluso invadir la zona con informaciones exactas. Porque tratar de  volver a poner al genio en la botella de la desinformación y la información errónea no es posible”.

Stephen Redd, el “almirante” del servicio de salud pública, tiene la siniestra idea de que el gobierno debería explotar los datos de las redes sociales para identificar a las personas que tienen creencias negativas: “Creo que con las plataformas de las redes sociales hay una oportunidad para entender quién es sensible… a la desinformación, así que creo que hay una oportunidad para recolectar datos a partir de ese mecanismo de comunicación”.

Adrian Thomas, de Johnson & Johnson, anuncia “importantes noticias para compartir de algunas de “nuestras empresas [farmacéuticas] miembros”: estamos realizando ensayos clínicos sobre nuevos antirretrovirales y, de hecho, sobre las vacunas ¡vacunas!” Recomienda una estrategia para resolver los problemas de estas empresas cuando “se han extendido los rumores” según los cuales sus productos probados de manera deficiente “causan muertes y los pacientes ya no los quieren”. Sugiere que “quizá estemos cometiendo el error de informar y contar todas las muertes e infecciones”.

La ex subdirectora de la CIA, Avril Haines, dio a conocer una estrategia para “inundar la zona” con propaganda proveniente de “fuentes fiables“, particularmente de “líderes comunitarios influyentes, así como los trabajadores de la salud.” Advierte que “las falsas informaciones están empezando a obstaculizar nuestra capacidad para hacer frente a la pandemia, por lo que tenemos que ser capaces de responder rápidamente”.

Matthew Harrington (director general de Edelman) observa que Internet, que en su día prometió la descentralización y la democratización de la información, debe ahora centralizarse: “Creo que, retomando un poco lo que acaba de decir Avril, del mismo modo que en conversaciones anteriores hemos hablado de la centralización en torno a la gestión de la información o a las necesidades de salud pública, es necesario que haya una respuesta centralizada en torno al enfoque de la comunicación que será después transmitida en cascada a los portavoces informados representados en las comunidades de ONG, los profesionales de la salud, etc. “

Tom Inglesby (experto en bioseguridad de la Johns Hopkins, asesor antele   National Institutes of Health, del Pentágono y de la Homeland Securityl) está de acuerdo en que es necesario un control centralizado: “¿Quieres decir centralizado a nivel internacional?”

Matthew Harrington (Edelman) responde que el acceso a las informaciones debería estar “centralizado a nivel internacional, porque creo que tiene que haber un banco  central de datos factuales y mensajes clave”.

Hasti Taghi (asesor de medios de comunicación) resume: “El movimiento antivacunas fue muy fuerte y esto es algo que se ha difundido específicamente a través de las redes sociales. Mientras investigamos para desarrollar las vacunas adecuadas para evitar que esto continúe, ¿cómo podemos difundir las informaciones correctas? ¿Cómo comunicar las buenas informaciones para que el público tenga confianza en estas vacunas que creamos?”

Kevin McAleese, responsable de comunicaciones  para los proyectos agrícolas financiados por Gates, observa: “Para mí está claro que los países tienen que trabajar duro para hacer frente tanto a la desinformación como a a las informaciones erróneas. Sabemos que las empresas de redes sociales trabajan día y noche para combatir estas campañas de desinformación. La tarea de identificar a todos los malos actores es enorme. Es un problema enorme que nos impedirá detener la pandemia y podría incluso provocar la caída de gobiernos, como vimos en la Primavera Árabe. Si la solución es controlar y reducir el acceso a la información, creo que es la opción correcta”.

Tom Inglesby, director del Johns Hopkins Center for Health Security de Bloomberg, comparte esta opinión y se pregunta: si “en  este caso, ¿crees que los gobiernos han llegado al punto de tener que exigir a las empresas de redes sociales que operen de una determinada manera?”

Lavan Thiru, ministro de Finanzas de Singapur, sugiere que el gobierno podría dar ejemplo entre los disidentes tomando “medidas gubernamentales o coercitivas contra las noticias falsas”. “Para algunos de nosotros, esta nueva reglamentación se ha puesto en marcha sobre la forma de cómo tratamos las noticias falsas. Este puede ser el momento para nosotros de presentar algunos casos en los que somos capaces de resaltar a algunos malos actores y dejar que los tribunales decidan si efectivamente han difundido noticias falsas.”

La transcripción muestra cómo Gates y su aparato gubernamental, farmacéutico y de inteligencia telegrafiaron sus planes para censurar y controlar los medios de comunicación durante la pandemia. En otra inquietante coincidencia, el COVID-19 comenzó a circular entre la población mundial pocos días después de la reunión de Gates.

El Centro de Seguridad Sanitaria de la Universidad Johns Hopkins diseña el escenario SPARS Pandemic

La descripción del ejercicio SPARS Pandemia del Centro de Seguridad Sanitaria de la Universidad Johns Hopkins comprende un escenario futurista que ilustra los dilemas de comunicación relativos a las contramedidas médicas (MCM) que podrían surgir en un futuro no muy lejano. Su objetivo es incitar a los usuarios, tanto individualmente como en discusión con otros, a imaginar las circunstancias dinámicas y a menudo conflictivas en las que tiene lugar la comunicación en torno al desarrollo, la distribución y la asimilación de las MCM de emergencia. Al enfrentarse a una rigurosa simulación de emergencia sanitaria, los lectores del escenario tienen la oportunidad de “ensayar” mentalmente las respuestas mientras sopesan las implicaciones de sus acciones. Al mismo tiempo, los lectores tienen la oportunidad de considerar qué medidas potenciales aplicadas en el entorno actual podrían evitar dilemas de comunicación comparables o clases de dilemas en el futuro.

El escenario de ejercicios autoguiados para comunicadores de salud pública e investigadores de comunicación de riesgos abarca una serie de temas y dilemas asociados en materia de comunicación de riesgos, control de rumores, coordinación y coherencia de mensajes entre organismos, gestión de problemas, relaciones proactivas y reactivas con los medios de comunicación, competencia cultural y cuestiones éticas. Para garantizar que el escenario tenga en cuenta la rápida innovación tecnológica y supere las expectativas de los participantes, el equipo del proyecto del Centro recopiló información de expertos en la materia, relatos históricos de anteriores crisis de contramedidas médicas, informes de los medios de comunicación contemporáneos y literatura académica sobre sociología, preparación para emergencias, educación sanitaria y comunicación de riesgos y crisis.

El escenario es hipotético; el patógeno infeccioso, las contramedidas médicas, los personajes, los extractos de los medios de comunicación, las publicaciones en las redes sociales y las respuestas de los organismos gubernamentales son totalmente ficticios.

Dirección del equipo del proyecto: Monica Schoch-Spana, PhD.

Equipo del proyecto: Matthew Shearer, MPH; Emily Brunson, PhD, profesora asociada de antropología en la Universidad Estatal de Texas; Sanjana Ravi, MPH; Tara Kirk Sell, PhD, MA; Gigi Kwik Gronvall, PhD; Hannah Chandler, antigua asistente de investigación en el Centro.

Fecha de finalización: Octubre de 2017.

Recursos:

Libro de escenarios de pandemia del SPARS. [Copia de respaldo]

Anuncio del Centro sobre el SPARS.

Listado del libro de escenarios de pandemia del SPARS en la biblioteca de recursos del Centro de Investigación de Gestión de Información de Desastres del HHS.

Fuentes:

Dr. Angel Ruiz-Valdepeñas

Jeanne Smits

Johns Hopkins University: SPARS Pandemic Scenario; October 2017.

[decafcocaine]

Welcome to my TED talk about the 2020 Candidates

Biases: Voted for Sanders in 2016 Primary, Clinton in 2016 general election, voting for Warren in 2020.

TRUMP (incumbent):

He hasn’t destroyed the economy yet, and I do mean yet: this human has started a trade war with all of our biggest trade partners because of deficits (which exist because we export software and patents, not goods). He locked children in cages (and that’s according to his own administration, look up “DHS Inspector General Detention report” on your favorite search engine). He enacted travel bans based on religious descrimination. HE FAKES BEING A CHRISTIAN BECAUSE HE WANTS HIS ENEMIES TO SUFFER AND CANNOT FORGIVE THEM OF THEIR SINS. HE DOESNT HAVE EMPATHY. BYE BYE DONNIE.

BIDEN:

Real talk, he doesn’t want to decriminalize weed. That means he’s not really there for POC community. He didn’t win in Iowa so electability argument is out. Honestly, if you’re looking for a moderate KLOBUCHAR and BUTTIGIEG are better choices. BIDEN just doesn’t have the spark that would get young people to vote for him and he’s out of touch with the current political climate.

BLOOMBERG

Electing a billionaire to the presidency is the same as electing a corporation. If you don’t want corporate money in politics then no billionaires. Sorry, I don’t make the rules, the billionaires do.

BUTTIGIEG:

He has executive experience, he’s a vet, he’s smart, he’s also a snake. BUTTIGIEG has taken money from big corporations, he’s moderate enough to be Romney level conservative; but hey, he’s gay, he understands the struggle of minorities and he’s running that Obama vibe rn. I think he’d be okay in the presidency; however, he would have to be watched closely because of corporate interests in his campaign.

KLOBUCHAR

OKAY YALL, LISTEN UP. AMYKLOBUCHAR.COM

Joking aside, she’s a good moderate pick. She’s got DC connections, she’s only funded by public money (meaning you, the citizen), she’s passed the most bills of anybody on the stage (i think combined but idk for sure). She just understands that there are too many extremes in this climate and that even as a “moderate” she supports the entire democratic platform. She gets republicans to vote for her. TBH she’d wipe the floor with Donny boy if he ever debates her. “People can’t be played like chips at one of your bankrupt casinos” -Amy “Motherfucking Badass” Klobuchar

SANDERS

Don’t do it america. I watched the debate. There was a conversation about experience, they called on sanders and he said (paraphrase), “BIG PHARMA! 😡 BILLIONAIRES! 😡 HEALTHCARE INDUSTRY! 😡” which is nice and all, but it didn’t answer the question, it just fired up his base. He’s less evil than TRUMP yes, but in essence, he’s 4 more years of divisiveness. During the debate I also witnessed SANDERS repeat something WARREN said almost word for word. I’m not voting for a mansplainer, sorry boys. ADDITIONALLY, SANDERS, in his entire 30 years in the senate has been the lead writer of 7 bills that became laws: he’s written many more (as a lead writer). 3 of those laws were name changes of post office locations in Vermont. CLINTON is correct when she said he’s a career politician. SANDERS is also the senator with the most absent votes in the senate on the DEM side. So, honestly, he’s a fraud. He does support the people, but he doesn’t work with the elected bodies enough to yet anything done.

STEYERS

See comment about BLOOMBERG. Shoutout to the moderator who reliably brings us back to race and climate change every debate. Keep on cheering for whoever he’s cheering for? Also, STEYERS repeated talking points from WARREN and KLOBUCHAR so much turn it in would’ve turned him red. So that’s a no from me.

WARREN

Queen. She was the ONLY candidate to attend Dragcon, so that’s some Queer love right there (I know it’s pink washed, but she doesn’t know that). She’s passed more bills than SANDERS, has more plans than SANDERS, AND if she couldn’t get the legislative agenda passed she would compromise and pass sweeping political reforms. What’s not to love about that? Honestly between her and Sanders she’s the more logical choice. WARREN will be able to throw shade at DONALD during debates. You know America wants to see it. Let’s do it.

YANG

1000 dollars a month for everyone would be really cool. He can’t accomplish it though. Also, he can’t speak to anything outside of economics on the debate stage. Foreign relations? He doesn’t buzz in. Climate change? “We have to go green” race relations? “Give POC and extra 1000 a month” ALSO he is a business person. Corporations make bad governments just ask an employee of any company. Especially if the company doesn’t have any unions.

[hyunnie-bunches]

At First Sight

Genre: fluff

Pairing: Park Jimin x reader

Word Count: 1338

A/N: No shade towards any business students. Dress how you want, people.

Love at first sight.

For centuries, people have debated the validity of the idea. How could it be that you were destined to be with a single person who was chosen for you from presumably the beginning of time? Especially when they could be anywhere on this vast, vast planet? Statistically, it was impossible.

Until a small start-up company in New Zealand decided that maybe it didn’t have to be so impossible. Testing the compatibility of two individuals was already a popular practice at that time, and with the recent advances in technology, data storage and processing had both become significantly faster. Capitalizing on these developments, TruLove Inc. decided to come with a patented chip that could be injected in back your neck. It connected directly to the optic nerve, reading and recording everything you saw. For every person you encountered, a compatibility algorithm would be run to determine if the person was suitable for you. 98% match or more, and you would get a large doze of oxytocin, or “the cuddle hormone”, instantly making you feel an instant attraction towards the person in front of you.

Not only that, the data collected from you would be stored and matched with other individuals using the service, and they would start getting ads that would push them towards a potential “soulmate”. Your soulmate is across the globe? Suddenly you’re getting offers for cheap flights to China. You soulmate is a fan of boxing? Wow, look, a free trial for a boxing club nearby.

The lights flickered on as I hit the last slide of the presentation. 

“It was a fabulous way of looking at a need in society and finding ways to solve it using the resources available at the time. That is the core of what a good business idea is. Of course, as you all now, the company only lasted a few years before going bankrupt.” My eyes flick towards the time shown on my laptop. “For the next class, I would like all of you to research and prepare a list of reasons why TruLove failed and ideas for how to combat those problems.” Rustling ensued and the students prepared to leave for their next class, and I turned to turn off my own laptop and put in my bag.

Once the last of the students had waved goodbye and left the room, my mind wandered back to the TruLove chips. My fingers grazed the spot at the back of my neck where the scar from the operations still marred the skin. A couple of girlfriends and I had impulsively decided to get the chips one drunken night right before the company shut down. The papers had claimed the chip still worked but I was yet to run into a stranger into the street and fall in love with one glance at them. And if I sometime let myself cave to the odd ads that had nothing to do with my life, then I dismissed them as the impulse decisions of a lonely woman.

My thoughts were interrupted by a sharp knock at the door.

“Come on-“ The words seemed to get stuck in my throat and I tilted my head and met the gaze of the man standing at the door.

Love at first sight.

How had no one ever mentioned how overwhelming it would be? How it take the very breath from your lungs? Recenter your gravity? Make your entire life before that moment seem meaningless?

“Are you…okay?” The words broke though the realizations of my reeling brain.

My sluggish brain took way too long to register the moderately confused expression on the man’s face, but I eventually stuttered a response. “Yeah, y-yes. I-You-you aren’t one of my students?” The statement came out as more of a question than I intended.

A casual half-smile graced the stranger’s lips and made my poor heart miss a beat.

“You’re quite observant for someone leading the most popular class on campus. Here I thought I might blend in with the other 300 people and escape your notice.”

Not a student at all then.

“You’re quite impertinent for someone posing as a student.” I quip back without missing a beat. He takes a step in from the doorframe against which he had been hovering.

Was I the only one feeling this way? My heartbeat was pounding in my eyes, making it hard to even hear him, but he seemed completely unaffected.

“I suppose that’s fair, considering I’m not a student.” 

There was a possibility that he didn’t have the implant, that he felt nothing of what I did.

“Oh great, you must be the stripper I ordered for the bachelorette party then.”

I saw momentary panic flare in his eyes, but it faded as quickly as it came. I presume the smile that was threatening to come free from my bitten bottom lip had something to do with the quick realization.

“Funny.” He said with narrowed eyes, but there was still a smile twisting his lips.

“You can’t blame me. You deserved that after the cockiness.”

“You know that line would’ve been a lot more convincing if you hadn’t started stuttering the second I walked in.” He has reached the desk now, and runs his fingers idly on its surface as my cheeks heat up.

So maybe I wasn’t the only one.

He is close enough that I can feel the warmth radiating from his body. My fingers itch to close the distance between us.

“Maybe I was stuttering-“ My voice is low as I continue speaking. “-because I couldn’t fathom what self-respecting business student would dress like that”. I deflect, eyes flicking over his casual jeans and white t-shirt combination. By the time I look back up, he seems to have moved even closer to me.

“Really?” He says, voice soft to match mine. Though I can still hear the amusement in his tone. “I could just un-dress if you like.”

I am sure that he felt the hitch in my breath from the way his smirk grew. “Didn’t you say you’re not a stripper?”

“Well, actually, those words never left my mouth.” He reaches a hand up to my cheek and brushes the skin lightly with the pad of his thumb. My whole body tenses as his eyes flick between my own. “You had chalk on your-“

He doesn’t get to finish his sentence as I grab his shirt and crush my lips against his. His response is immediate, like he had been waiting for me to kiss him. The kiss lasts for ever and for a moment at the same time. Before I know it, his hands are on my waist and he’s moving me so he can press me against the desk. His lips are still a bruising force against mine.

“Wait-“ I say breathlessly, tilting my head back so I can speak. “What’s your name?” He moves his assault to my neck.

“Jimin.” He mumbles in between kisses.

I grab his shoulders and push his away, eyes wide with incredulity. “Park Jimin?”

The sheepishness that melts across his features is answer enough. “My brother is in this class.” He hurries to explain in a response to my still shocked expression. “When he mentioned that you would be covering TruLove… I just got curious…” He trails off uncertainly.

I cover my eyes with my hands. “I cannot believe I was about to sleep with the CEO and co-founder of the most legendary matchmaking software.”

His hands drop from where they were still lingering on my waist. When I look up, I can see the hesitation in his eyes. “Do you… not want to… anymore?” The uncertainty in his voice breaks my heart.

I grab his face and lay a big smooch right on top of his lips. “Of course I do, you doofus. Think of what a great story this would be to tell our grandkids.” His slowly growing smile is the last thing I see before he leans down to kiss me again.