How crowdfunding is shaping the war in Ukraine


The Economist: “This month Aerorozvidka, a Ukrainian drone unit, celebrated the acquisition of four Chinese-made DJI Phantom 3 drones, provided by a German donor. The group, founded in 2014 after the Russian invasion of eastern Ukraine and annexation of Crimea, is led by civilians. The gift is just one example of crowdfunding in Russia’s latest war against Ukraine. Citizens from both sides are supplying much-needed equipment to the front lines. What is the impact of these donations, and how do the two countries differ in their approach?

Private citizens have chipped in to help in times of war for centuries. A writing tablet found near Hadrian’s Wall in northern England mentions a gift of sandals, socks and underwear for Roman soldiers. During the first world war America’s government asked civilians to knit warm clothing for troops. But besides such small morale-boosting efforts, some schemes to rally civilians have proved strikingly productive. During the second world war Britain introduced a “Spitfire Fund”, encouraging civilian groups to raise the £12,600 (£490,000, or $590,000, in today’s money) needed to build the top-of-the-range fighter. Individual contributors could buy wings, machineguns or even a rivet, for six old pence (two and a half modern ones) apiece. The scheme raised around £13m in total—enough for more than 1,000 aircraft (of a total of 20,000 built)…(More)”.

Landsat turns 50: How satellites revolutionized the way we see – and protect – the natural world


Article by Stacy Morford: “Fifty years ago, U.S. scientists launched a satellite that dramatically changed how we see the world.

It captured images of Earth’s surface in minute detail, showing how wildfires burned landscapes, how farms erased forests, and many other ways humans were changing the face of the planet.

The first satellite in the Landsat series launched on July 23, 1972. Eight others followed, providing the same views so changes could be tracked over time, but with increasingly powerful instruments. Landsat 8 and Landsat 9 are orbiting the planet today, and NASA and the U.S. Geological Survey are planning a new Landsat mission.

The images and data from these satellites are used to track deforestation and changing landscapes around the world, locate urban heat islands, and understand the impact of new river dams, among many other projects. Often, the results help communities respond to risks that may not be obvious from the ground.

Here are three examples of Landsat in action, from The Conversation’s archive.

Tracking changes in the Amazon

When work began on the Belo Monte Dam project in the Brazilian Amazon in 2015, Indigenous tribes living along the Big Bend of the Xingu River started noticing changes in the river’s flow. The water they relied on for food and transportation was disappearing.

Upstream, a new channel would eventually divert as much as 80% of the water to the hydroelectric dam, bypassing the bend.

The consortium that runs the dam argued that there was no scientific proof that the change in water flow harmed fish.

But there is clear proof of the Belo Monte Dam project’s impact – from above, write Pritam DasFaisal HossainHörður Helgason and Shahzaib Khan at the University of Washington. Using satellite data from the Landsat program, the team showed how the dam dramatically altered the hydrology of the river…

It’s hot in the city – and even hotter in some neighborhoods

Landsat’s instruments can also measure surface temperatures, allowing scientists to map heat risk street by street within cities as global temperatures rise.

“Cities are generally hotter than surrounding rural areas, but even within cities, some residential neighborhoods get dangerously warmer than others just a few miles away,” writes Daniel P. Johnson, who uses satellites to study the urban heat island effect at Indiana University.

Neighborhoods with more pavement and buildings and fewer trees can be 10 degrees Fahrenheit (5.5 C) or more warmer than leafier neighborhoods, Johnson writes. He found that the hottest neighborhoods tend to be low-income, have majority Black or Hispanic residents and had been subjected to redlining, the discriminatory practice once used to deny loans in racial and ethnic minority communities…(More)”.

Digital Literacy Doesn’t Stop the Spread of Misinformation


Article by David Rand, and Nathaniel Sirlin: “There has been tremendous concern recently over misinformation on social media. It was a pervasive topic during the 2020 U.S. presidential election, continues to be an issue during the COVID-19 pandemic and plays an important part in Russian propaganda efforts in the war on Ukraine. This concern is plenty justified, as the consequences of believing false information are arguably shaping the future of nations and greatly affecting our individual and collective health.

One popular theory about why some people fall for misinformation they encounter online is that they lack digital literacy skills, a nebulous term that describes how a person navigates digital spaces. Someone lacking digital literacy skills, the thinking goes, may be more susceptible to believing—and sharing—false information. As a result, less digitally literate people may play a significant role in the spread of misinformation.

This argument makes intuitive sense. Yet very little research has actually investigated the link between digital literacy and susceptibility to believe false information. There’s even less understanding of the potential link between digital literacy and what people share on social media. As researchers who study the psychology of online misinformation, we wanted to explore these potential associations….

When we looked at the connection between digital literacy and the willingness to share false information with others through social media, however, the results were different. People who were more digitally literate were just as likely to say they’d share false articles as people who lacked digital literacy. Like the first finding, the (lack of) connection between digital literacy and sharing false news was not affected by political party affiliation or whether the topic was politics or the pandemic…(More)”

Meta launches Sphere, an AI knowledge tool based on open web content, used initially to verify citations on Wikipedia


Article by Ingrid Lunden: “Facebook may be infamous for helping to usher in the era of “fake news”, but it’s also tried to find a place for itself in the follow-up: the never-ending battle to combat it. In the latest development on that front, Facebook parent Meta today announced a new tool called Sphere, AI built around the concept of tapping the vast repository of information on the open web to provide a knowledge base for AI and other systems to work. Sphere’s first application, Meta says, is Wikipedia, where it’s being used in a production phase (not live entries) to automatically scan entries and identify when citations in its entries are strongly or weakly supported.

The research team has open sourced Sphere — which is currently based on 134 million public web pages. Here is how it works in action…(More)”.

On the Power of Networks


Essay by Jay Lloyd: “A mosquito net made from lemons, a workout shirt that feeds sweat to cyanobacteria to generate electricity, a water filter using moss from the Andes—and a slime mold that produces eerie electronic music. For a few days in late June, I logged on to help judge the Biodesign Challenge, a seven-year-old competition where high school and college students showcase designs that use biotechnology to address real problems. Fifty-six teams from 18 countries presented their creations—some practical, others purely speculative.

The competition is, by design, cautiously optimistic about the potential for technology to solve problems such as plastic pollution or malaria or sexually transmitted diseases. This caution manifests in an emphasis on ethics as a first principle in design: many problems the students seek to solve are the results of previous “solutions” gone wrong. Underlying this is a conviction that technology can help build a world that not only works better but is also more just. The biodesign worldview starts with research to understand problems in context, then imagines a design for a biology-based solution, and often envisions how that technology could transform today’s power dynamics. Two projects this year speculated about using mRNA to reduce systemic racism and global inequality. 

The Biodesign Challenge is a profoundly hopeful exercise in future-building, but the tensions inherent in this theory of change became clear at the awards ceremony, which coincided with the Supreme Court’s announcement of the reversal of Roe v. Wade, ending the right to abortion at the national level. The ceremony took place under a cloud, and these entrancing proposals for an imagined biofuture sharply juxtaposed with the results of the blunt exercise of political power. 

Clearly, networks of people devoted to a cause can be formidable forces for change—and it’s possible that Biodesign Challenge itself could become such a network in the future. The group consists of more than 100 teachers and judges—artists, scientists, social scientists, and people from the biotech industry—and the challengers themselves, who Zoom in from Shanghai, Buenos Aires, Savannah, Cincinnati, Turkey, and elsewhere. As biotechnology matures around the world, it will be applied by networks of people who have determined which problems need to be addressed…(More)”.

Hackathons should be renamed to avoid negative connotations


Article by Alison Paprica, Kimberlyn McGrail and Michael J. Schull: “Events where groups of people come together to create or improve software using large data sets are usually called hackathons. As health data researchers who want to build and maintain public trust, we recommend the use of alternative terms, such as datathon and code fest.

Hackathon is a portmanteau that combines the words “hack” and “marathon.” The “hack” in hackathon is meant to refer to a clever and improvised way of doing something rather than unauthorized computer or data access. From a computer scientist’s perspective, “hackathon” probably sounds innovative, intensive and maybe a little disruptive, but in a helpful rather than criminal way.

The issue is that members of the public do not interpret “hack” the way that computer scientists do.

Our team, and many others, have performed research studies to understand the public’s interests and concerns when health data are used for research and innovation. In all of these studies, we are not aware of any positive references to “hack” or related terms. But studies from Canadathe United Kingdom and Australia have all found that members of the public consistently raise hacking as a major concern for health data…(More)”.

Africa: regulate surveillance technologies and personal data



Bulelani Jili in Nature: “…For more than a decade, African governments have installed thousands of closed-circuit television (CCTV) cameras and surveillance devices across cities, along with artificial-intelligence (AI) systems for facial recognition and other uses. Such technologies are often part of state-led initiatives to reduce crime rates and strengthen national security against terrorism. For instance, in Uganda in 2019, Kampala’s police force procured digital cameras and facial-recognition technology worth US$126 million to help it address a rise in homicides and kidnappings (see go.nature.com/3nx2tfk).

However, digital surveillance tools also raise privacy concerns. Citizens, academics and activists in Kampala contend that these tools, if linked to malicious spyware and malware programs, could be used to track and target citizens. In August 2019, an investigation by The Wall Street Journal found that Ugandan intelligence officials had used spyware to penetrate encrypted communications from the political opposition leader Bobi Wine1.

Around half of African countries have laws on data protection. But these are often outdated and lack clear enforcement mechanisms and strategies for secure handling of biometric data, including face, fingerprint and voice records. Inspections, safeguards and other standards for monitoring goods and services that use information and communications technology (ICT) are necessary to address cybersecurity and privacy risks.

The African Union has begun efforts to create a continent-wide legislative framework on this topic. As of March this year, only 13 of the 55 member states have ratified its 2014 Convention on Cyber Security and Personal Data Protection; 15 countries must do so before it can take effect. Whereas nations grappling with food insecurity, conflict and inequality might not view cybersecurity as a priority, some, such as Ghana, are keen to address this vulnerability so that they can expand their information societies.

The risks of using surveillance technologies in places with inadequate laws are great, however, particularly in a region with established problems at the intersections of inequality, crime, governance, race, corruption and policing. Without robust checks and balances, I contend, such tools could encourage political repression, particularly in countries with a history of human-rights violations….(More)”.

The Model Is The Message


Essay by Benjamin Bratton and Blaise Agüera y Arcas: “An odd controversy appeared in the news cycle last month when a Google engineer, Blake Lemoine, was placed on leave after publicly releasing transcripts of conversations with LaMDA, a chatbot based on a Large Language Model (LLM) that he claims is conscious, sentient and a person.

Like most other observers, we do not conclude that LaMDA is conscious in the ways that Lemoine believes it to be. His inference is clearly based in motivated anthropomorphic projection. At the same time, it is also possible that these kinds of artificial intelligence (AI) are “intelligent” — and even “conscious” in some way — depending on how those terms are defined.

Still, neither of these terms can be very useful if they are defined in strongly anthropocentric ways. An AI may also be one and not the other, and it may be useful to distinguish sentience from both intelligence and consciousness. For example, an AI may be genuinely intelligent in some way but only sentient in the restrictive sense of sensing and acting deliberately on external information. Perhaps the real lesson for philosophy of AI is that reality has outpaced the available language to parse what is already at hand. A more precise vocabulary is essential.

AI and the philosophy of AI have deeply intertwined histories, each bending the other in uneven ways. Just like core AI research, the philosophy of AI goes through phases. Sometimes it is content to apply philosophy (“what would Kant say about driverless cars?”) and sometimes it is energized to invent new concepts and terms to make sense of technologies before, during and after their emergence. Today, we need more of the latter.

We need more specific and creative language that can cut the knots around terms like “sentience,” “ethics,” “intelligence,” and even “artificial,” in order to name and measure what is already here and orient what is to come. Without this, confusion ensues — for example, the cultural split between those eager to speculate on the sentience of rocks and rivers yet dismiss AI as corporate PR vs. those who think their chatbots are persons because all possible intelligence is humanlike in form and appearance. This is a poor substitute for viable, creative foresight. The curious case of synthetic language  — language intelligently produced or interpreted by machines — is exemplary of what is wrong with present approaches, but also demonstrative of what alternatives are possible…(More)”.

What Germany’s Lack of Race Data Means During a Pandemic


Article by Edna Bonhomme: “What do you think the rate of Covid-19 is for us?” This is the question that many Black people living in Berlin asked me at the beginning of March 2020. The answer: We don’t know. Unlike other countries, notably the United States and the United Kingdom, the German government does not record racial identity information in official documents and statistics. Due to the country’s history with the Holocaust, calling Rasse (race) by its name has long been contested.

To some, data that focuses on race without considering intersecting factors such as class, neighborhood, environment, or genetics rings with furtive deception, because it might fail to encapsulate the multitude of elements that impact well-being. Similarly, some information makes it difficult to categorize a person into one identity: A multiracial person may not wish to choose one racial group, one of many conundrums that complicate the denotation of demographics. There is also the element of trust. If there are reliable statistics that document racial data and health in Germany, what will be done about it, and what does it mean for the government to potentially access, collect, or use this information? As with the history of artificial intelligence, figures often poorly capture the experiences of Black people, or are often misused. Would people have confidence in the German government to prioritize the interests of ethnic or racial minorities and other marginalized groups, specifically with respect to health and medicine?

Nevertheless, the absence of data collection around racial identity may conceal how certain groups might be disproportionately impacted by a malady. Racial self-identities can be a marker for data scientists and public health officials to understand the rates or trends of diseases, whether it’s breast cancer or Covid-19. Race data has been helpful for understanding inequities in many contexts. In the US, statistics on maternal mortality and race have been a portent for exposing how African Americans are disproportionately affected, and have since been a persuasive foundation for shifting behavior, resources, and policy on birthing practices.

In 2020, the educational association Each One Teach One, in partnership with Citizens for Europe, launched The Afrozensus, the first large-scale sociological study on Black people living in Germany, inquiring about employment, housing, and health—part of deepening insight into the ethnic makeup of this group and the institutional discrimination that they might face. Of the 5,000 people that took part in the survey, a little over 70 percent were born in Germany, with the other top four being the United States, Nigeria, Ghana, and Kenya. Germany’s Afro-German population is heterogenous, a reflection of an African diaspora that hails from various migrations, whether it be Fulani people from Senegal or the descendants of slaves from the Americas. “Black,” as an identity, does not and cannot grasp the cultural and linguistic richness that exists among the people who fit into this category, but it may be part of a tableau for gathering shared experiences or systematic inequities.“I think that the Afrozensus didn’t reveal anything that Black people didn’t already know,” said Jeff Kwasi Klein, Project Manager of Each One Teach. “Yes, there is discrimination in all walks of life.” The results from this first attempt at race-based data collection show that ignoring Rasse has not allowed racial minorities to elide prejudice in Germany….(More)”.

Democracy Disrupted: Governance in an Increasingly Virtual and Massively Distributed World


Essay by Eric B. Schnurer: “It is hard not to think that the world has come to a critical juncture, a point of possibly catastrophic collapse. Multiple simultaneous crises—many of epic proportions—raise doubts that liberal democracies can govern their way through them. In fact, it is vanishingly rare to hear anyone say otherwise.

While thirty years ago, scholars, pundits, and political leaders were confidently proclaiming the end of history, few now deny that it has returned—if it ever ended. And it has done so at a time of not just geopolitical and economic dislocations but also historic technological dislocations. To say that this poses a challenge to liberal democratic governance is an understatement. As history shows, the threat of chaos, uncertainty, weakness, and indeed ungovernability always favors the authoritarian, the man on horseback who promises stability, order, clarity—and through them, strength and greatness.

How, then, did we come to this disruptive return? Explanations abound, from the collapse of industrial economies and the post–Cold War order to the racist, nativist, and ultranationalist backlash these have produced; from the accompanying widespread revolt against institutions, elites, and other sources of authority to the social media business models and algorithms that exploit and exacerbate anger and division; from sophisticated methods of information warfare intended specifically to undercut confidence in truth or facts to the rise of authoritarian personalities in virtually every major country, all skilled in exploiting these developments. These are all perfectly good explanations. Indeed, they are interconnected and collectively help to explain our current state. But as Occam’s razor tells us, the simplest explanation is often the best. And there is a far simpler explanation for why we find ourselves in this precarious state: The widespread breakdowns and failures of governance and authority we are experiencing are driven by, and largely explicable by, underlying changes in technology.

We are in fact living through technological change on the scale of the Agricultural or Industrial Revolution, but it is occurring in only a fraction of the time. What we are experiencing today—the breakdown of all existing authority, primarily but not exclusively governmental—is if not a predictable result, at least an unsurprising one. All of these other features are just the localized spikes on the longer sine wave of history…(More)”.