#UI developer online course
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Mastering UI Development and Python: Unlocking Your Coding Potential
In the fast-paced digital landscape, UI developers play a pivotal role in creating seamless and visually stunning user experiences. Our UI developer online course is crafted to empower you with the skills needed to thrive in this dynamic field.
The Basics: Navigating the UI Developer Course
Embark on your coding journey by mastering the fundamentals. From HTML and CSS essentials to responsive design principles, this course lays the groundwork for your success. Unlock the secrets behind creating intuitive interfaces that captivate users.
Advanced Techniques: Elevate Your UI Development Game
Take your skills to the next level with advanced UI development techniques. Delve into JavaScript frameworks like React and Vue.js, gaining the expertise to build interactive and dynamic user interfaces. Our hands-on approach ensures you apply your knowledge in real-world scenarios.
UI/UX Harmony: Creating User-Centric Designs
A great UI developer understands the symbiotic relationship between user interface (UI) and user experience (UX). Learn how to design interfaces that not only look impressive but also enhance the overall user journey. Elevate your projects with user-centric design principles.
Python Mastery: A Language for Innovators
Welcome to the Python Online Course
Python, a language renowned for its simplicity and versatility, opens doors to endless possibilities. Join our python online course to unleash the true potential of this programming language.
Python Fundamentals: Building a Strong Foundation
Begin your Python journey by grasping the fundamentals. From variables and data types to control flow structures, this course ensures you have a solid foundation. Navigate the Python landscape with confidence.
Beyond Basics: Advanced Python Programming
Take a deep dive into advanced Python concepts. Explore object-oriented programming, data manipulation with NumPy and Pandas, and the power of Python libraries. Acquire the skills needed to tackle complex coding challenges.
Supporting the Coding Community
Conclusion: Your Coding Odyssey Begins
Embark on a transformative journey with our UI developer and Python online courses. Whether you're a novice or a seasoned coder, our courses cater to all skill levels. Uncover the secrets of UI development and harness the power of Python, propelling yourself into the realm of coding excellence. Enroll now and let your coding odyssey begin!
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🎓 From Learner to Leader: Your Journey Starts Here!
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The Importance of UI UX Design in Modern Web Development

UI/UX design is vital to modern web development. It defines how users will interact with the site. A good UI and UX let users easily navigate a site. It can search for info and enjoy a pleasing environment. In today’s internet world, UI/UX design decides a site’s stickiness. Studying at the best UI UX university can shape your career.
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Top UI Design Programs: A Comprehensive Guide to Mastering User Interface Design
Introduction
User Interface (UI) design is a crucial aspect of creating digital products that are both visually appealing and easy to use. As the demand for skilled UI designers continues to grow, many aspiring designers are turning to specialized UI design programs to gain the necessary skills and knowledge. This comprehensive guide explores the best UI design programs available, their key features, benefits, and how they can help you become a proficient UI designer.
Why UI Design Programs Matter
UI design programs provide structured learning paths that cover all aspects of UI design, from fundamental principles to advanced techniques. These programs are essential for anyone looking to build a career in UI design, as they offer hands-on experience, expert instruction, and a thorough understanding of the tools and processes involved in creating effective user interfaces.
Benefits of Enrolling in a UI Design Program
Comprehensive Curriculum:
Programs cover a wide range of topics, including design principles, tools, user research, and testing.
Advanced courses delve into specialized areas such as interaction design and responsive design.
Expert Instruction:
Learn from experienced professionals and industry leaders.
Access to mentorship and guidance from seasoned UI designers.
Hands-On Experience:
Engage in practical projects and real-world simulations.
Build a robust portfolio showcasing your design skills.
Networking Opportunities:
Connect with peers, instructors, and industry professionals.
Join a community of like-minded individuals passionate about UI design.
Career Support:
Receive assistance with job placement, resume building, and interview preparation.
Access to exclusive job boards and industry connections.
Key Features of Top UI Design Programs
Foundational Knowledge:
Courses start with the basics of UI design, including design principles, color theory, typography, and layout.
Introduction to the history and evolution of UI design.
Advanced Techniques:
Advanced courses cover interaction design, microinteractions, and motion design.
In-depth exploration of usability and accessibility.
Design Tools and Software:
Training on essential design tools such as Adobe XD, Sketch, Figma, and InVision.
Lessons on wireframing, prototyping, and creating design systems.
User Research and Testing:
Techniques for conducting user research and gathering actionable insights.
Methods for usability testing, A/B testing, and iterative design.
Capstone Projects:
Comprehensive projects that integrate all aspects of UI design.
Opportunities to work on real-world challenges and create impactful designs.
Top UI Design Programs Available
Coursera - UI/UX Design Specialization:
Offered by the California Institute of the Arts, this program covers the fundamentals of UI/UX design, including user research and visual elements.
Features hands-on projects and a capstone project to showcase your skills.
Udacity - UX Designer Nanodegree:
Comprehensive program focusing on UX and UI design principles, tools, and methodologies.
Includes real-world projects and access to industry mentors.
General Assembly - User Experience Design Immersive:
Intensive bootcamp offering in-depth training on UI and UX design.
Combines lectures, hands-on projects, and career support.
Interaction Design Foundation - User Interface Design:
Covers all aspects of UI design, from foundational principles to advanced techniques.
Lessons on design thinking, user research, and interaction design.
LinkedIn Learning - Learning Sketch for Interface Design:
Dedicated to mastering Sketch, a popular UI design tool.
Covers creating wireframes, mockups, and interactive prototypes.
edX - MicroMasters Program in UX Design and Evaluation:
Offered by the Georgia Institute of Technology, this program covers advanced topics in UI and UX design.
Includes interactive projects and peer-reviewed assignments.
Choosing the Right UI Design Program
Identify Your Goals:
Determine what you want to achieve from the program.
Choose a program that aligns with your career aspirations and skill level.
Course Content and Structure:
Review the syllabus and course modules.
Ensure the program covers essential topics and tools relevant to UI design.
Instructor Credentials:
Check the qualifications and experience of the instructors.
Look for programs taught by industry experts and professionals.
Student Reviews and Testimonials:
Read reviews and feedback from previous students.
Consider the program’s reputation and overall rating.
Support and Resources:
Ensure the program offers adequate support, such as mentorship, forums, and Q&A sessions.
Access to additional resources like design templates, toolkits, and reading materials.
Success Stories from UI Design Program Graduates
Jane Doe - UI Designer at TechCorp:
Completed a UI design program on Coursera.
Worked on a project that improved user engagement by 30%.
John Smith - Freelance UI Designer:
Took a design bootcamp at General Assembly.
Built a successful freelance career, working with clients worldwide.
Emily Johnson - Product Designer at StartupX:
Graduated from an intensive design program at Interaction Design Foundation.
Helped redesign the company's app, resulting in a 25% increase in user retention.
Future Trends in UI Design
Artificial Intelligence and Machine Learning:
AI-driven design tools that automate and enhance the design process.
Personalized user experiences based on machine learning algorithms.
Voice User Interfaces (VUIs):
Designing interfaces for voice-activated devices like smart speakers.
Creating seamless voice interactions.
Augmented Reality (AR) and Virtual Reality (VR):
Designing immersive interfaces for AR and VR applications.
New opportunities for innovative and interactive design.
Sustainable and Inclusive Design:
Focus on eco-friendly and sustainable design practices.
Promoting accessibility and inclusivity in UI design.
Conclusion
UI design programs provide a comprehensive and structured pathway to mastering user interface design. By covering essential skills, tools, and principles, these programs prepare aspiring designers for successful careers in the digital design industry. With the right training, a strong portfolio, and a commitment to staying updated with industry trends, you can unlock your potential in UI design and create engaging, user-friendly digital experiences. Start your journey today and become a proficient UI designer, shaping the future of digital interactions.
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Develop your knowledge and skills in Techdemy Software Testing courses and Learn Software Testing from best professionals in the Industry.
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Correspondence Plan: The Need and Importance?
We Provide visual depiction or visual correspondence configuration, is a multidisciplinary field that assumes an urgent part in molding how we get, process, and draw in with data in our outwardly determined world.
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The Art of UI/UX Design: Free Courses and Booming Career Opportunities
In today’s digital age, user experience (UX) and user interface (UI) design have emerged as critical components in the creation of successful websites, mobile apps, and software. UI design focuses on the aesthetics and layout of a digital product, while UX design centers on enhancing user satisfaction and usability. These two disciplines work hand in hand to ensure that users have a seamless and…
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I have been working on this project for a week now, here are some screenshots of the game. Details below.
Also, I'm trying to find a suitable name for the game, if you have any suggestions please let me know!
My current plan for the game is to make it a friendship simulation that is played through events rather than linearly. Each character will have their own favorability progress and events.
It will take a long time to complete the game. As I mentioned before: the game programming, painting, and story are all done by me.
Some questions:
[ 1 ] : Why are the figures so poorly drawn and why is there no background?
The story and the painting are in progress at the same time. The characters and backgrounds you see are placeholders I used to quickly show the effect in the story. This makes it easier for me to advance the script.
[ 2 ] : Why are these screenshots so different from the visuals?
In the future, these UIs will be changed again, but I think the current general style looks neat and easy to read. Of course, you can always give me better suggestions.
[ 3 ] : Will the final release be in English?
Yes, I will be looking for a translator when the whole game is finished. English will definitely be available as a option in the final release.
[ 4 ] : Is this game related to another TF2 dating simulation game that is in production?
No, After I started making it, I just found out there was another project in the process. There is no relationship between the two.
[ 5 ] : Will you open partron or ko-fi for support?
No, absolutely not. At least not during the development of the game. I'm very excited to make this game, and I don't want to feel pressured by it. I made this game purely out of love for TF2 and I have 100% control over it. You can support this game by making suggestions for story scripts, which is why I publish the progress online.
Questions from askbox:
[ 1 ] :
Creating a route for each of the nine people is already a huge project. Sorry, but there won’t be multiple endings per merc.
/////
(I'm sure there are a lot of questions I've missed. You can always come to my askbox to ask me more questions about the game (anon is on). I will answer them every time I release the development progress.)
Anyone with suggestions for art, story or gameplay is welcome. I'd love to hear anything.
The above text is translated by Google Translate. If there is any inappropriate remarks, please contact me.
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Animation Courses
Here's some places you can go and some I'm taking myself!
A lot from Coloso, I tend to just chip into my courses over the weekend.
3 Day Bootcamp type classes and you do get a google link to the recordings after if you want to review/continue on with the homework after.
Bloop is more a generalist and learning the barebone basics and great for foundation knowledge and will also lead you through the UI of a program. Also you can't beat 90 bucks for a whole structured class.
Places that SOMETIMES have Animation classes. You gotta check every semester and just grab them when they come up.
http://www.conceptdesignacad.com/
Gumroads
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Zelda Liveblogs a Lancet Paper
Following this post, I am now going to liveblog reading the Lancet paper cited by the Economist article to predict worldwide fertility to drop by 3/4s of its current position if current demographic trends continue. It is an Open Access article, so the entire thing is open for anyone on the internet to read.
Citation:
GBD 2021 Fertility and Forecasting Collaborators (March 20, 2024). Global fertility in 204 countries and territories, 1950–2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021. The Lancet, 403(10440), 2057-2099. https://doi.org/10.1016/S0140-6736(24)00550-6.
I refuse to use Chicago style. This is mostly because I memorized APA and don't want to learn a new one.
First, my background: I am not a demographer; I am not trained as a demographer; I have studied it auxiliarily to my other academic pursuits. I fall in a sort of educated in-between. I am currently a Master's student in library and information sciences, and my undergraduate degree was in political science, both at USAmerican universities. However, the field of economics is also very close to my heart, and I would have double-majored in it if the opportunity and financial costs had not been too high to justify it. During the five years I was a college drop-out, I studied economics independently, reading broadly within the field and taking non-certificate courses online. I've been taking non-certificate courses in economics through correspondence or online since I was about nine. I'm not an expert! I do, however, think I'm a fairly well-informed amateur.
And a note on language. This paper refers to birthing parents as mothers and to the demographic that gives birth interchangeably as female and women. I acknowledge that this is a cissexist patriarchical viewpoint that erases transmen, nonbinary and intersex people, and probably others I'm not thinking of. For consistency between my reflections and the paper and ease of reading, I will do the same. I'm conscious I'm part of the problem here, but don't see a way around it without making my bits harder to understand than they have to be.
With that out of the way, here we go:
Methodology (Summary)
This is where me not being a demographer is an important thing to know. I neither know nor normally care about the statistical methods used to determine demography, just that the demographers aren't retracting papers over it. However, I do know that in general the CCF50 (total cohort fertility before the age of 50) is a neater and more accurate measurement to build projections on than the TFR (total fertility rate by year) and that's the methodology the paper's authors went with. This is good and promising. TFR for known years and CCF50 projections sounds like a solid method. 👍
We additionally produced forecasts for multiple alternative scenarios in each location: the UN Sustainable Development Goal (SDG) for education is achieved by 2030; the contraceptive met need SDG is achieved by 2030; pro-natal policies are enacted to create supportive environments for those who give birth; and the previous three scenarios combined.
I'm very hopeful about these forecasts! They'll show a few different hopeful scenarios.
To evaluate the forecasting performance of our model and others, we computed skill values—a metric assessing gain in forecasting accuracy—by comparing predicted versus observed ASFRs from the past 15 years (2007–21). A positive skill metric indicates that the model being evaluated performs better than the baseline model (here, a simplified model holding 2007 values constant in the future), and a negative metric indicates that the evaluated model performs worse than baseline.
This is a very responsible thing for the authors to have done, and I am interested to see how this is reflected in the models.
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Findings (Summary)
During the period from 1950 to 2021, global TFR more than halved, from 4·84 (95% UI 4·63–5·06) to 2·23 (2·09–2·38). Global annual livebirths peaked in 2016 at 142 million (95% UI 137–147), declining to 129 million (121–138) in 2021. Fertility rates declined in all countries and territories since 1950,
(Emphasis mine. The numbers in parentheses are the confidence interval.) I think this is the most important takeaway from the whole damn paper. Makes sense, since it's the first line of the findings. If you read nothing else, read these three sentences. Global birthrates are barely above replacement (which, if you recall from my other essay, is generally considered to be ~2.1). To me, this implies lot of problems that traditionally have been considered solvable with population redistribution (meaning, mostly, immigration) may not be solvable that way even if fertility were to stop declining today and hold constant for the rest of the century.
Future fertility rates were projected to continue to decline worldwide, reaching a global TFR of 1·83 (1·59–2·08) in 2050 and 1·59 (1·25–1·96) in 2100 under the reference scenario. The number of countries and territories with fertility rates remaining above replacement was forecast to be 49 (24·0%) in 2050 and only six (2·9%) in 2100, with three of these six countries included in the 2021 World Bank-defined low-income group, all located in the GBD super-region of sub-Saharan Africa.
Holy shit. I cannot emphasize enough how low a TFR of 1.59 is. This is approximately the current TFR of the United Kingdom, and they're beginning to freak out even though they have relatively easy sources of additional replacement recruitment through the Commonwealth. Imagine that for the whole Earth. With only six countries as a potential source of surplus population to be redistributed.
Funding from the Bill & Melinda Gates Foundation. Makes sense. This is the kind of thing that foundation funds.
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Introduction
Low levels of fertility have the potential over time to result in inverted population pyramids with growing numbers of older people and declining working-age populations. These changes are likely to place increasing burdens on health care and social systems, transform labour and consumer markets, and alter patterns of resource use.
Oh man, I wish I'd gone through this paper earlier, I could have just quoted this bit and been done instead of trying to explain it from scratch! 😂
The UN Population Division estimates of past fertility are not compliant with the Guidelines on Accurate and Transparent Health Estimates Reporting (GATHER) statement in important respects; notably, they do not provide all code for statistical models or explicit details on criteria for exclusion or adjustment of primary data sources. Furthermore, the validity of UN Population Division projections has been questioned due to the assumptions applied in countries experiencing low post-transition fertility dropping below replacement level.
YES GO OFF 👏 The UN Population Division is so much more cagey about their data than the World Bank, it's so annoying, and they keep predicting increases that don't happen. I thought it was so weird as an undergrad but figured it was because of ~bureaucracy~ or privacy laws or whatever. It's nice to be vindicated [redacted] years later.
Our forecasts also suggest that, by 2100, the largest concentrations of livebirths will shift to low-income settings, particularly a subset of countries and territories in sub-Saharan Africa, which are among the most vulnerable to economic and environmental challenges. Extreme shifts in the global distribution of livebirths can be partially ameliorated by improved female education and met need for modern contraception. Outside of this subset of low-income areas, most of the world's countries will experience the repercussions of low fertility, with ageing populations, declining workforces, and inverted population pyramids, which are likely to lead to profound fiscal, economic, and social consequences. National policy makers and the global health community must plan to address these divided sets of demographic challenges emerging worldwide.
This is such an important point for them to make. Demography isn't a vacuum; it has significant real-world effects. By 2100, most babies born will be born in Africa, and we need to plan for that now. By 2100, most countries will not have enough workers, and we need to plan for that now. 2100 is not that far into the future. I, personally, will live to see the beginnings of the effects of this demographic shift, and I'm an adult who pays taxes and has a college degree and shit.
.
The Data Sources and Processing section is pretty standard and unremarkable. Good job.
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Fertility Forecasting
We produced forecasts of fertility using an updated modelling framework (appendix 1 section 3) that improved on the methods in the 2020 study by Vollset and colleagues. In our updated methods, we used not only estimates of female educational attainment and contraceptive met need as covariates, but also estimates of under-5 mortality and population density in habitable areas to account for a larger variation in CCF50 across all countries in the sub-models (appendix 1 section 3.1, appendix 2 figure S2). Similar to Vollset and colleagues, we continued to forecast fertility with CCF50 rather than TFR, because modelling in cohort space is more stable than in period space.
Niiiiice. Covariates are things that, well, vary, alongside the thing you're trying to measure. For fertility, the most obvious one might be age of the mother at first birth; if someone is 16 at first birth, she probably will have more kids than someone who is 30 at first birth, for example. This model also includes how much schooling the mother gets, whether she has contraception, the mortality rate (that is, how many of them die) of children under five, and population density! That's a lot of statistical crunching and their model will be more precise for it. Precise isn't the same as accurate, but I think that with the variables they selected, they will travel in the same direction.
What a pretty equation. I don't understand it, but it's got a certain je ne sais quois.
For the education SDG scenario, the forecasts assume that by 2030, all people will have 12 years or more of education by the age of 25 years and then maintains the same rate of change as the reference scenario up to 2100. For the contraceptive met need scenario, to reflect the SDG scenario of universal access, the forecasts assumed a linear increase in contraceptive coverage to reach 100% by 2030 and then stay constant up to 2100.
I love how optimistic these scenarios are 😂 This truly is the best-case scenario for both the education forecast and the contraceptive forecast! I do hope everybody has 12+ years of education and 100% contraceptive coverage by 2030. Make it happen, António!!!!
(Joke explained: António Guterres is the current Secretary-General of the United Nations, and these goals are absolutely not going to be met by 2030.)
In the pro-natal scenario, we assumed a country will introduce pro-natal policies, such as childcare subsidies, extended parental leave, insurance coverage expansion for infertility treatment, 33 and other forms of support for parents to afford high-quality child-care services, once TFR decreases to less than 1·75. We then made three assumptions on the effects of such policies. First, we assumed the full effect of pro-natal policies will be to increase TFR by 0·2. Second, it will take 5 years after the policy is introduced for the full increase in TFR to occur, and TFR will rise linearly over that time span. Last, we assumed that both the policies and the increase in TFR by 0·2 will endure for the remainder of the century.
The pro-natal scenario is also incredibly optimistic. This kind of response simply hasn't happened in any country that's tried pro-natal policies as envisioned by the authors (my reference cases, just off the top of my head: Japan and France).
The optimism makes sense. They represent extreme cases, in order to contrast possible outcomes versus the reference case. This is good practice! It's just also funny.
.
Results
The Reference Case
I hate the embedded tables. They have the confidence interval in the same cell as the estimate. How very dare they, that's incredibly inconvenient for me personally.
The chart in Figure 1, however, I think speaks volumes:
It speaks so many volumes that I'm gonna go up and put it above the cut, brb. This chart shows the reference case; that is, it shows the fertility rate if the fertility trends of 1950-2021 continue into the future.
At the national level, estimates of TFR in 2021 ranged from 0·82 (95% UI 0·75–0·89) in South Korea to 6·99 (6·75–7·24) in Chad, with below-replacement levels of fertility (TFR <2·1) in 110 of 204 countries and territories (table 1, figures 2A, 3).
I think this range is neat and goes to show that while the trend is world-wide, it's still not even. Chadian women still give birth to about 7ish kids on average. That's more than 3x replacement, and more than 8.5x the average fertility of South Korea. South Korea is going to have different problems than Chad; Chad probably doesn't have to worry as much about their workforce being unable to sustain a large elderly population. (Don't look so cheerful about it. They've got lots of other stuff to worry about. 😬)


These charts are fascinating to look at to me. I think this really showcases just how dramatic the projected decline is. It's not just the Europe, it's not just wealthy post-industrialized countries, but everywhere. It's in Eswanti, it's in Indonesia, it's in Burkina Faso, it's in China. It really shows just how much Chad is an outlier (adn should still be counted, btw, just because it's an outlier doesn't mean we should discard it; it's dependent on study structure and you can't just throw out entire countries because they have high birth rates on a study of birth rates).
Our estimates indicate that there is approximately a 30-year gap between the time when TFR falls below 2·1 and when the natural rate of population increase turns negative. We forecast that 155 (76·0%) countries and territories will have fertility rates below replacement level in 2050; by 2100, we project this number will increase to 198 (97·1%), with 178 (87·3%) having a negative natural rate of increase (figure 3).
A 30-year gap sounds reasonable. That's about how long it takes for people to have/not have kids, and for their own parents to potentially die, in about equalish numbers (on a global scale, anyway). I do think this gap number is likely to increase as healthcare improves in places that are worse today and as fertility technology increases the age at which people can become pregnant, but 30 is a perfectly respectable number with actual statistical backing.
Alternative scenario fertility forecasts
This is the part I'm really excited about!!!
The first scenario, which assumes meeting the SDG education target by 2030, is estimated to result in global TFRs of 1·65 (95% UI 1·40–1·92) in 2050 and 1·56 (1·26–1·92) in 2100 (table 2). The second scenario, which assumes meeting the SDG contraceptive met need target by 2030, will produce global TFRs of 1·64 (1·39–1·89) in 2050 and 1·52 (1·21–1·87) in 2100. The third scenario, which incorporates pro-natal policy implementation, is forecast to yield global TFRs of 1·93 (1·69–2·19) in 2050 and 1·68 (1·36–2·04) in 2100. The combined scenario, in which all three other alternative scenarios are applied, is projected to result in a global TFR of 1·65 (1·40–1·92) in 2050 and 1·62 (1·35–1·95) in 2100.
So recall the reference scenario projections: 1·83 (1·59–2·08) in 2050 and 1·59 (1·25–1·96) in 2100.
I find it interesting that all cases are so incredibly close to reference, with overlapping confidence intervals. Functionally, there's not a lot of difference between a TFR of 1.68 and 1.52. They're both still well below replacement. It's about the difference between Sweden (1.67) and Russia (1.51). Russia, you may have noticed, is waging war about it.*
*This is not a stated goal of the Russian Federation in the Ukraine War. This is me personally making an assertion that the shifting demographics of the Russian population, including the below-replacement birthrate beginning to put pressure on their lacking social safety networks, has contributed to the many complicated and interconnected reasons why the Russian Federation invaded Ukraine, but please do not take me to be the final authority on the matter or interpret this statement as implying that demography of all things is the sole or primary reason for the war.
Discussion
The aforementioned changes in fertility over the coming century will have profound effects on populations, economies, geopolitics, food security, health, and the environment, with a clear demographic divide between the impacts on many middle-to-high-income locations versus many low-income locations. For nearly all countries and territories outside of sub-Saharan Africa, sustained low fertility will produce a contracting population with fewer young people relative to older people before the end of the 21st century. These changes in age structure are likely to present considerable economic challenges caused by a growing dependency ratio of older to working-age population and a shrinking labour force. 42 Unless governments identify unforeseen innovations or funding sources that address the challenges of population ageing, this demographic shift will put increasing pressure on national health insurance, social security programmes, and health-care infrastructure. These same programmes will receive less funding as working-age, tax-paying populations decline, further exacerbating the problem.
This is why the Economist article talks about birthrates the way it does. It's not about white babies or whatever people in the notes are sarcastically ascribing to an article they haven't read. It's about the whole world. There are 150 countries outside of the Sub-Saharan Africa region, and 44 of the 46 countries within Sub-Saharan Africa are projected to feel the many or all of the same effects as well.
It's about the way social security nets are structured and how they're going to fail. It's about the way that elderly people are going to be treated by our societies. It's about me, and it's about you, and it's about making sure that there are enough humans to take care of the other humans that need taking care of.
If we don't increase global fertility rates above replacement, which it increasingly looks like we won't, we need other solutions. The fertility one is easy fuckin' pickings compared to a complete overhaul of society, and you saw how little difference it actually makes. So did the authors:
To date, one strategy to reverse declining fertility in low-fertility settings has been to implement pro-natal policies, such as child-related cash transfers and tax incentives, childcare subsidies, extended parental leave, re-employment rights, and other forms of support for parents to care and pay for their children.49, 50 Yet there are few data to show that such policies have led to strong, sustained rebounds in fertility, with empirical evidence suggesting an effect size of no more than 0·2 additional livebirths per female. [...] Moreover, although pro-natal policies primarily aim to increase births, they also offer additional benefits to society, including better quality of life, greater household gender equality (ie, more equal division of household labour),53 higher rates of female labour force participation,54 lower child-care costs,55 and better maternal health outcomes,56 depending on policy design and contextual factors. In the future, it will be beneficial to perform an in-depth analysis on varying impacts of pro-natal policies in selected countries that have a meaningful impact on population. [...] Importantly, low fertility rates and the modest effects that pro-natal policies might have on them should not be used to justify more draconian measures that limit reproductive rights, such as restricting access to modern contraceptives or abortions.
I just want to highlight that the study authors explicitly argue for certain pro-natal policies that increase quality of life and caution against pro-natal policies that limit rights. These people aren't heartless.
They also discuss at some length the implications of the changing distribution of live births, where by the end of the century most live births will take place in the poorest nations, which are also the ones that will be hardest-hit by climate change. These nations already face famines, military rule, civil wars, terrorism, and climate changed-caused severe heatwaves, droughts, and floods. They advise politicians to take this into account when making policy decisions but don't go into what policy decisions should be made, which is wise since they're demographers and not political scientists, but disappointed me, the political scientist reading the demography paper and hoping to find something to criticize.
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My takeaway:
Incredibly interesting paper. As a non-demographer, I think it's very convincing and hope that it sparks a serious conversation about the paths we need to take forward, in our own countries and as a global community. I especially hope that it inspires us to take bold action to drastically change our systems of elder care, which are already being pushed to the limit and will simply break under pressure if fertility rates continue to fall.
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