Data-driven decisions: the case for randomised policy trials


Speech by Andrew Leigh: “…In 1747, 31-year-old Scottish naval surgeon James Lind set about determining the most effective treatment for scurvy, a disease that was killing thousands of sailors around the world. Selecting 12 sailors suffering from scurvy, Lind divided them into six pairs. Each pair received a different treatment: cider; sulfuric acid; vinegar; seawater; a concoction of nutmeg, garlic and mustard; and two oranges and a lemon. In less than a week, the pair who had received oranges and lemons were back on active duty, while the others languished. Given that sulphuric acid was the British Navy’s main treatment for scurvy, this was a crucial finding.

The trial provided robust evidence for the powers of citrus because it created a credible counterfactual. The sailors didn’t choose their treatments, nor were they assigned based on the severity of their ailment. Instead, they were randomly allocated, making it likely that difference in their recovery were due to the treatment rather than other characteristics.

Lind’s randomised trial, one of the first in history, has attained legendary status. Yet because 1747 was so long ago, it is easy to imagine that the methods he used are no longer applicable. After all, Lind’s research was conducted at a time before electricity, cars and trains, an era when slavery was rampant and education was reserved for the elite. Surely, some argue, ideas from such an age have been superseded today.

In place of randomised trials, some put their faith in ‘big data’. Between large-scale surveys and extensive administrative datasets, the world is awash in data as never before. Each day, hundreds of exabytes of data are produced. Big data has improved the accuracy of weather forecasts, permitted researchers to study social interactions across racial and ethnic lines, enabled the analysis of income mobility at a fine geographic scale and much more…(More)”

Citizen scientists will be needed to meet global water quality goals


University College London: “Sustainable development goals for water quality will not be met without the involvement of citizen scientists, argues an international team led by a UCL researcher, in a new policy brief.

The policy brief and attached technical brief are published by Earthwatch Europe on behalf of the United Nations Environment Program (UNEP)-coordinated World Water Quality Alliance that has supported citizen science projects in Kenya, Tanzania and Sierra Leone. The reports detail how policymakers can learn from examples where citizen scientists (non-professionals engaged in the scientific process, such as by collecting data) are already making valuable contributions.

The report authors focus on how to meet one of the UN’s Sustainable Development Goals around improving water quality, which the UN states is necessary for the health and prosperity of people and the planet…

“Locals who know the water and use the water are both a motivated and knowledgeable resource, so citizen science networks can enable them to provide large amounts of data and act as stewards of their local water bodies and sources. Citizen science has the potential to revolutionize the way we manage water resources to improve water quality.”…

The report authors argue that improving water quality data will require governments and organizations to work collaboratively with locals who collect their own data, particularly where government monitoring is scarce, but also where there is government support for citizen science schemes. Water quality improvement has a particularly high potential for citizen scientists to make an impact, as professionally collected data is often limited by a shortage of funding and infrastructure, while there are effective citizen science monitoring methods that can provide reliable data.

The authors write that the value of citizen science goes beyond the data collected, as there are other benefits pertaining to education of volunteers, increased community involvement, and greater potential for rapid response to water quality issues…(More)”.

Scientists around the world call to protect research on one of humanity’s greatest short-term threats – Disinformation


Forum on Democracy and Information: “At a critical time for understanding digital communications’ impact on societies, research on disinformation is endangered. 

In August, researchers around the world bid farewell to CrowdTangle – the Meta-owned social media monitoring tool. The decision by Meta to close the number one platform used to track mis- and disinformation, in what is a major election year, only to present its alternative tool Meta Content Library and API, has been met with a barrage of criticism.

If, as suggested by the World Economic Forum’s 2024 global risk report, disinformation is one of the biggest short-term threats to humanity, our collective ability to understand how it spreads and impacts our society is crucial. Just as we would not impede scientific research into the spread of viruses and disease, nor into natural ecosystems or other historical and social sciences, disinformation research must be permitted to be carried out unimpeded and with access to information needed to understand its complexity. Understanding the political economy of disinformation as well as its technological dimensions is also a matter of public health, democratic resilience, and national security.

By directly affecting the research community’s ability to open social media black boxes, this radical decision will also, in turn, hamper public understanding of how technology affects democracy. Public interest scrutiny is also essential for the next era of technology, notably for the world’s largest AI systems, which are similarly proprietary and opaque. The research community is already calling on AI companies to learn from the mistakes of social media and guarantee protections for good faith research. The solution falls on multiple shoulders and the global scientific community, civil society, public institutions and philanthropies must come together to meaningfully foster and protect public interest research on information and democracy…(More)”.

Leveraging AI for Democracy: Civic Innovation on the New Digital Playing Field


Report by Beth Kerley, Carl Miller, and Fernanda Campagnucci: “Like social media before them, new AI tools promise to change the game when it comes to civic engagement. These technologies offer bold new possibilities for investigative journalists, anticorruption advocates, and others working with limited resources to advance democratic norms.

Yet the transformation wrought by AI advances is far from guaranteed to work in democracy’s favor. Potential threats to democracy from AI have drawn wide attention. To better the odds for prodemocratic actors in a fluid technological environment, systematic thinking about how to make AI work for democracy is needed.

The essays in this report outline possible paths toward a prodemocratic vision for AI. An overview essay by Beth Kerley based on insights from an International Forum for Democratic Studies expert workshop reflects on the critical questions that confront organizations seeking to deploy AI tools. Fernanda Campagnucci, spotlighting the work of Open Knowledge Brasil to open up government data, explores how AI advances are creating new opportunities for citizens to scrutinize public information. Finally, Demos’s Carl Miller sheds light on how AI technologies that enable new forms of civic deliberation might change the way we think about democratic participation itself…(More)“.

How to rebuild democracy to truly harness the power of the people


Article by Kyle Ellingson: “Many of us entered this so-called super-election year with a sense of foreboding. So far, not much has happened to allay those fears. Russia’s war on Ukraine is exacerbating a perception that democracy is threatened in Europe and beyond. In the US, Donald Trump, a presidential candidate with self-professed autocratic tendencies, has faced two assassination attempts. And more broadly, people seem to be losing faith in politics. “Most people from a diverse array of countries around the world lack confidence in the performance of their political institutions,” says a 2024 report by the International Institute for Democracy and Electoral Assistance.

On many objective measures, too, democracy isn’t functioning as it should. The systems we call democracies tend to favour the rich. Political violence is growing, as is legislative gridlock, and worldwide, elections are becoming less free and fair. Some 30 years after commentators crowed about the triumph of Western liberal democracy, their prediction seems further than ever from being realised. What happened?

According to Lex Paulson at the University Mohammed VI Polytechnic in Rabat, Morocco, we have lost sight of what democracy is. “We have made a terrible confusion between the system known as a republic – which relies on elections, parties and a permanent governing class – and the system known as a democracy, in which citizens directly participate in decisions and rotate power.” …(More)”.

The paradox of climate data in West Africa: growing urgency coupled with diminishing accessibility


Cirad: “In 2022, a prolonged drought devastated maize crops in northern Burkina Faso, leaving two million people without sufficient food resources. This dramatic situation could have been better anticipated and its impacts could have been mitigated with the collection and equitable sharing of specific data: that of agrometeorology, the science that studies the effects of meteorological, climatological and hydrological factors on crops.

Although it is too late to prevent the 2022 drought, protecting people from future droughts remains an urgent priority, especially in Africa, a continent where climate change poses a serious threat to rainfed agriculture, its main agricultural and economic activity.

To anticipate these climate risks, it is essential to have access to reliable meteorological data, which is crucial for ensuring sustainable and resilient agricultural practices. Yet in West Africa, the accessibility and reliability of this data are increasingly threatened and face unprecedented diplomatic, economic and security challenges…(More)”.

The satellite spectrum battle that could shape the new space economy


Article by Peggy Hollinger and Yasemin Craggs: “In early August, when corporate activity was in a summer lull, Elon Musk’s SpaceX quietly opened up a new front in a global battle over a scarce and precious resource: radio spectrum.

Its target was an obscure international regulation governing the way spectrum, the invisible highway of electromagnetic waves that enables all wireless technology, is shared by satellite operators in different orbits. And the chosen weapon was the US regulator, the Federal Communications Commission. 

On August 9, SpaceX petitioned the FCC to loosen globally agreed power limits on transmissions from operators like itself in low Earth orbit, the region of space up to 2,000km above the planet’s surface set to be a pivotal arena in the future of communication, transportation and defence.

The so-called equivalent power flux density rules were set more than 20 years ago to ensure signals from low Earth orbit did not interfere with those from systems in higher geostationary, or fixed, orbit.

SpaceX, which owns the world’s fastest-growing satellite broadband network, Starlink, told the regulator that these “antiquated power restrictions” were unfit for “the modern space age”. It went on to charge that the international process governing the rules had been hijacked by an alliance between the operators of older, geostationary systems and “America’s staunchest adversaries”. 

At stake was “US global competitiveness in the new space economy” and the future of satellite communication, it said. 

SpaceX’s broadside was the second attempt in less than a year to win a revision of these highly technical rules. Nine months ago at the World Radiocommunication Conference, where regulations governing spectrum use are decided, SpaceX and Project Kuiper — Amazon’s attempt to build a rival to Musk’s system — lost an initial attempt to win global support for a change to the power restrictions. 

Graphic explaining how radio interference can affect satellites

Although many in the industry believe a revision is long overdue, the discussions were tense and divisive, according to participants.

On one side were the upstart tech companies whose low Earth orbit satellite networks are threatening the business models of longer-established competitors with high-speed, low-latency broadband services…(More)”.

AI in Global Development Playbook


USAID Playbook: “…When used effectively and responsibly, AI holds the potential to accelerate progress on sustainable development and close digital divides, but it also poses risks that could further impede progress toward these goals. With the right enabling environment and ecosystem of actors, AI can enhance efficiency and accelerate development outcomes in sectors such as health, education, agriculture, energy, manufacturing, and delivering public services. The United States aims to ensure that the benefits of AI are shared equitably across the globe.

Distilled from consultations with hundreds of government officials, non-governmental organizations, technology firms and startups, and individuals from around the world, the AI in Global Development Playbook is a roadmap to develop the capacity, ecosystems, frameworks, partnerships, applications, and institutions to leverage safe, secure, and trustworthy AI for sustainable development.

The United States’ current efforts are grounded in the belief that AI, when developed and deployed responsibly, can be a powerful force for achieving the Sustainable Development Goals and addressing some of the world’s most urgent challenges. Looking ahead, the United States will continue to support low- and middle-income countries through funding, advocacy, and convening efforts–collectively navigating the complexities of the digital age and working toward a future in which the benefits of technological development are widely shared.

This Playbook seeks to underscore AI as a uniquely global opportunity with far-reaching impacts and potential risks. It highlights that safe, secure, and trustworthy design, deployment, and use of AI is not only possible but essential. Recognizing that international cooperation and multi-stakeholder partnerships are key in achieving progress, we invite others to contribute their expertise, resources, and perspectives to enrich and expand this framework.

The true measure of progress in responsible AI is not in the sophistication of our machines but in the quality of life the technology enhances. Together we can work toward ensuring the promise of AI is realized in service of this goal…(More)”

Artificial intelligence (AI) in action: A preliminary review of AI use for democracy support


Policy paper by Grahm Tuohy-Gaydos: “…provides a working definition of AI for Westminster Foundation for Democracy (WFD) and the broader democracy support sector. It then provides a preliminary review of how AI is being used to enhance democratic practices worldwide, focusing on several themes including: accountability and transparency, elections, environmental democracy, inclusion, openness and participation, and women’s political leadership. The paper also highlights potential risks and areas of development in the future. Finally, the paper shares five recommendations for WFD and democracy support organisations to consider advancing their ‘digital democracy’ agenda. This policy paper also offers additional information regarding AI classification and other resources for identifying good practice and innovative solutions. Its findings may be relevant to WFD staff members, international development practitioners, civil society organisations, and persons interested in using emerging technologies within governmental settings…(More)”.

China’s biggest AI model is challenging American dominance


Article by Sam Eifling: “So far, the AI boom has been dominated by U.S. companies like OpenAI, Google, and Meta. In recent months, though, a new name has been popping up on benchmarking lists: Alibaba’s Qwen. Over the past few months, variants of Qwen have been topping the leaderboards of sites that measure an AI model’s performance.

“Qwen 72B is the king, and Chinese models are dominating,” Hugging Face CEO Clem Delangue wrote in June, after a Qwen-based model first rose to the top of his company’s Open LLM leaderboard.

It’s a surprising turnaround for the Chinese AI industry, which many thought was doomed by semiconductor restrictions and limitations on computing power. Qwen’s success is showing that China can compete with the world’s best AI models — raising serious questions about how long U.S. companies will continue to dominate the field. And by focusing on capabilities like language support, Qwen is breaking new ground on what an AI model can do — and who it can be built for.

Those capabilities have come as a surprise to many developers, even those working on Qwen itself. AI developer David Ng used Qwen to build the model that topped the Open LLM leaderboard. He’s built models using Meta and Google’s technology also but says Alibaba’s gave him the best results. “For some reason, it works best on the Chinese models,” he told Rest of World. “I don’t know why.”..(More)”