Eight reasons responsible data for and about children matters


Article by Stefaan Verhulst and Andrew Young: “…The relationship between the datafication of everyday life and child welfare has generally been under-explored, both by researchers in data ethics and those who work to advance the rights of children. This neglect is a lost opportunity, and also poses a risk to children, who are in many ways at the forefront of the steady incursions of data into our lives. In what follows, over a series of two articles, we outline eight reasons why child welfare advocates should pay more attention to data, and why we need a framework for responsible data collection and use for children….(Part 1) and (Part2). (See also Responsible Data for Children).

Superpowers as Inspiration for Visualization


Paper by Wesley Willett et al: “We explore how the lens of fictional superpowers can help characterize how visualizations empower people and provide inspiration for new visualization systems. Researchers and practitioners often tout visualizations’ ability to “make the invisible visible” and to “enhance cognitive abilities.” Meanwhile superhero comics and other modern fiction often depict characters with similarly fantastic abilities that allow them to see and interpret the world in ways that transcend traditional human perception. We investigate the intersection of these domains, and show how the language of superpowers can be used to characterize existing visualization systems and suggest opportunities for new and empowering ones. We introduce two frameworks: The first characterizes seven underlying mechanisms that form the basis for a variety of visual superpowers portrayed in fiction. The second identifies seven ways in which visualization tools and interfaces can instill a sense of empowerment in the people who use them. Building on these observations, we illustrate a diverse set of “visualization superpowers” and highlight opportunities for the visualization community to create new systems and interactions that empower new experiences with data…(More).”

How climate data scarcity costs lives


Paula Dupraz-Dobias at New Humanitarian: “Localised data can help governments project climate forecasts, prepare for disasters as early as possible, and create long-term policies for adapting to climate change.

Wealthier countries tend to have better access to new technology that allows for more accurate predictions, such as networks of temperature, wind, and atmospheric pressure sensors.

But roughly half the world’s countries do not have multi-hazard early warning systems, according to the UN’s World Meteorological Organization. Some 60 percent lack basic water information services designed to gather and analyse data on surface, ground, and atmospheric water, which could help reduce flooding and better manage water. Some 43 percent do not communicate or interact adequately with other countries to share potentially life-saving information.

The black holes in weather data around the globe

Availability of surface land observations (Map)WMO/ECMWFUS reports weather observations every three hours, as opposed to the every hour required by World Meteorological Organization regulations. It says it will comply with these from 2023.

See WIGOS’s full interactive map

“Right now, we can analyse weather; in other words, what happens today, tomorrow, and the day after,” said Ena Jaimes Espinoza, a weather expert at CENEPRED, Peru’s national centre for disaster monitoring, prevention, and risk reduction. “For climate data, where you need years of data, there is still a dearth [of information].”

Without this information, she said, it’s difficult to establish accurate trends in different areas of the country – trends that could help forecasters better predict conditions in Tarucani, for example, or help policymakers to plan responses.

Inadequate funding, poor data-sharing between countries, and conflict, at least in some parts of the world, contribute to the data shortfalls. Climate experts warn that some of the world’s most disaster-vulnerable countries risk being left behind as this information gap widens…(More)”.

On the Dynamics of Human Behavior: The Past, Present, and Future of Culture, Conflict, and Cooperation


Paper by Nathan Nunn: “I provide a theoretically-guided discussion of the dynamics of human behavior, focusing on the importance of culture (socially-learned information) and tradition (transmission of culture across generations). Decision-making that relies on tradition can be an effective strategy and arises in equilibrium. While dynamically optimal, it generates static `mismatch.’ When the world changes, since traits evolve slowly, they may not be beneficial in their new environment. I discuss how mismatch helps explain the world around us, presents special challenges and opportunities for policy, and provides important lessons for our future as a human species…(More)”.

An intro to AI, made for students


Reena Jana at Google: “Adorable, operatic blobs. A global, online guessing game. Scribbles that transform into works of art. These may not sound like they’re part of a curriculum, but learning the basics of how artificial intelligence (AI) works doesn’t have to be complicated, super-technical or boring.

To celebrate Digital Learning Day, we’re releasing a new lesson from Applied Digital Skills, Google’s free, online, video-based curriculum (and part of the larger Grow with Google initiative). “Discover AI in Daily Life” was designed with middle and high school students in mind, and dives into how AI is built, and how it helps people every day.

AI for anyone — and everyone

“Twenty or 30 years ago, students might have learned basic typing skills in school,” says Dr. Patrick Gage Kelley, a Google Trust and Safety user experience researcher who co-created (and narrates) the “Discover AI in Daily Life” lesson. “Today, ‘AI literacy’ is a key skill. It’s important that students everywhere, from all backgrounds, are given the opportunity to learn about AI.”

“Discover AI in Daily Life” begins with the basics. You’ll find simple, non-technical explanations of how a machine can “learn” from patterns in data, and why it’s important to train AI responsibly and avoid unfair bias.

First-hand experiences with AI

“By encouraging students to engage directly with everyday tools and experiment with them, they get a first-hand experience of the potential uses and limitations of AI,” says Dr. Annica Voneche, the lesson’s learning designer. “Those experiences can then be tied to a more theoretical explanation of the technology behind it, in a way that makes the often abstract concepts behind AI tangible.”…(More)”.

How to avoid sharing bad information about Russia’s invasion of Ukraine


Abby Ohlheiser at MIT Technology Review: “The fast-paced online coverage of the Russian invasion of Ukraine on Wednesday followed a pattern that’s become familiar in other recent crises that have unfolded around the world. Photos, videos, and other information are posted and reshared across platforms much faster than they can be verified.

The result is that falsehoods are mistaken for truth and amplified, even by well-intentioned people. This can help bad actors to terrorize innocent civilians or advance disturbing ideologies, causing real harm.

Disinformation has been a prominent and explicit part of the Russian government’s campaign to justify the invasion. Russia falsely claimed that Ukrainian forces in Donbas, a city in the southeastern part of the country that harbors a large number of pro-Russian separatists, were planning violent attacks, engaging in antagonistic shelling, and committing genocide. Fake videos of those nonexistent attacks became part of a domestic propaganda campaign. (The US government, meanwhile, has been working to debunk and “prebunk” these lies.)

Meanwhile, even people who are not part of such government campaigns may intentionally share bad, misleading, or false information about the invasion to promote ideological narratives, or simply to harvest clicks, with little care about the harm they’re causing. In other cases, honest mistakes made amid the fog of war take off and go viral….

Your attention matters …

First, realize that what you do online makes a difference. “People often think that because they’re not influencers, they’re not politicians, they’re not journalists, that what they do [online] doesn’t matter,” Whitney Phillips, an assistant professor of communication and rhetorical studies at Syracuse University, told me in 2020. But it does matter. Sharing dubious information with even a small circle of friends and family can lead to its wider dissemination.

… and so do your angry quote tweets and duets.

While an urgent news story is developing, well-meaning people may quote, tweet, share, or duet with a post on social media to challenge and condemn it. Twitter and Facebook have introduced new rules, moderation tactics, and fact-checking provisions to try to combat misinformation. But interacting with misinformation at all risks amplifying the content you’re trying to minimize, because it signals to the platform that you find it interesting. Instead of engaging with a post you know to be wrong, try flagging it for review by the platform where you saw it.

Stop.

Mike Caulfield, a digital literacy expert, developed a method for evaluating online information that he calls SIFT: “Stop, Investigate the source, Find better coverage, and Trace claims, quotes, and media to the original context.” When it comes to news about Ukraine, he says, the emphasis should be on “Stop”—that is, pause before you react to or share what you’re seeing….(More)”.

How Tech Despair Can Set You Free


Essay by Samuel Matlack: “One way to look at the twentieth century is to say that nations may rise and fall but technical progress remains forever. Its sun rises on the evil and on the good, and its rain falls on the just and on the unjust. Its sun can be brighter than a thousand suns, scorching our enemies, but, with some time and ingenuity, it can also power air conditioners and 5G. One needs to look on the bright side, living by faith and not by sight.

The century’s inquiring minds wished to know whether this faith in progress is meaningfully different from blindness. Ranking high among those minds was the French historian, sociologist, and lay theologian Jacques Ellul, and his answer was simple: No.

In America, Ellul became best known for his book The Technological Society. The book’s signature term was “technique,” an idea he developed throughout his vast body of writing. Technique is the social structure on which modern life is built. It is the consciousness that has come to govern all human affairs, suppressing questions of ultimate human purposes and meaning. Our society no longer asks why we should do anything. All that matters anymore, Ellul argued, is how to do it — to which the canned answer is always: More efficiently! Much as a modern machine can be said to run on its own, so does the technological society. Human control of it is an illusion, which means we are on a path to self-destruction — not because the social machine will necessarily kill us (although it might), but because we are fast becoming soulless creatures…(More)”.

The giant plan to track diversity in research journals


Article by Holly Else & Jeffrey M. Perkel: “In the next year, researchers should expect to face a sensitive set of questions whenever they send their papers to journals, and when they review or edit manuscripts. More than 50 publishers representing over 15,000 journals globally are preparing to ask scientists about their race or ethnicity — as well as their gender — in an initiative that’s part of a growing effort to analyse researcher diversity around the world. Publishers say that this information, gathered and stored securely, will help to analyse who is represented in journals, and to identify whether there are biases in editing or review that sway which findings get published. Pilot testing suggests that many scientists support the idea, although not all.

The effort comes amid a push for a wider acknowledgement of racism and structural racism in science and publishing — and the need to gather more information about it. In any one country, such as the United States, ample data show that minority groups are under-represented in science, particularly at senior levels. But data on how such imbalances are reflected — or intensified — in research journals are scarce. Publishers haven’t systematically looked, in part because journals are international and there has been no measurement framework for race and ethnicity that made sense to researchers of many cultures.

“If you don’t have the data, it is very difficult to understand where you are at, to make changes, set goals and measure progress,” says Holly Falk-Krzesinski, vice-president of research intelligence at the Dutch publisher Elsevier, who is working with the joint group and is based in Chicago, Illinois.

In the absence of data, some scientists have started measuring for themselves. Computational researchers are scouring the literature using software that tries to estimate racial and ethnic diversity across millions of published research articles, and to examine biases in who is represented or cited. Separately, over the past two years, some researchers have criticized publishers for not having diversity data already, and especially for being slow to collate information about small groups of elite decision makers: journal editors and editorial boards. At least one scientist has started publicizing those numbers himself….(More)”.

Sustainable Smart City Transitions: Theoretical Foundations, Sociotechnical Assemblage and Governance Mechanisms


Book edited by Luca Mora, Mark Deakin, Xiaoling Zhang, Michael Batty, Martin de Jong, Paolo Santi and Francesco Paolo Appio: “This book enhances the reader’s understanding of the theoretical foundations, sociotechnical assemblage, and governance mechanisms of sustainable smart city transitions.

Drawing on empirical evidence stemming from existing smart city research, the book begins by advancing a theory of sustainable smart city transitions, which forms bridges between smart city development studies and some of the key assumptions underpinning transition management and system innovation research, human geography, spatial planning, and critical urban scholarship. This interdisciplinary theoretical formulation details how smart city transitions unfold and how they should be conceptualized and enacted in order to be assembled as sustainable developments. The proposed theory of sustainable smart city transitions is then enriched by the findings of investigations into the planning and implementation of smart city transition strategies and projects.

Focusing on different empirical settings, change dimensions, and analytical elements, the attention moves from the sociotechnical requirements of citywide transition pathways to the development of sector-specific smart city projects and technological innovations, in particular in the fields of urban mobility and urban governance.

This book represents a relevant reference work for academic and practitioner audiences, policy makers, and representative of smart city industries….(More) (Open Access)”.

The Summit for Democracy commitments are out—now what?


Article by Norman Eisen, Mario Picon, Robin J. Lewis, Renzo Falla, and Lilly Blumenthal: “On February 14, 2022, two months after the first Summit for Democracy, the U.S. Department of State released written commitments from 56 governments focused on strengthening democracy, combatting corruption, and defending human rights. Now the post-summit Year of Action can begin in earnest. As two of us discussed in a post right after the Summit, for the event to achieve its objectives, civil society, the private sector, and other good governance champions must work with and hold governments accountable for the implementation of concrete, measurable, and meaningful commitments.

From our initial survey, we observe significant variation in terms of the specificity and nature of commitments published thus far. Here, we offer a brief snapshot of the distribution of countries with published commitments, the range of those commitments, and their significance. Our initial reactions are preliminary; this post offers a roadmap for the deeper reading and analysis of the commitments that we and many others will undertake.

The countries that have submitted written commitments to date fall along the spectrum of governance regimes, as defined by the recently released Democracy Index 2021 from the Economist Intelligence Unit. 53 of 167 countries featured in the index provided written commitments with clear over-representation of those classified as full democracies—18 out of 21 full democracies submitted commitments. Meanwhile, 26 out of 53 countries considered flawed democracies submitted commitments. An even smaller group of hybrid regimes (that is, ones that combine democratic and autocratic features; 8 out of 34 countries) and a minuscule proportion of countries under what are considered authoritarian regimes (1 out of 59 countries) responded to the call for written commitments.

Among these submissions, the nature of the commitments varies. Most countries offer some commitments on the domestic front, but many, particularly the full democracies, focus on the international arena. As examples, the Democratic Republic of the Congo’s commitments include “organizing elections within constitutional deadlines,” while New Zealand’s include a pledge of “1 million NZD to support anti-corruption within the Pacific region.”…(More)”.