Outpacing Pandemics: Solving the First and Last Mile Challenges of Data-Driven Policy Making


Article by Stefaan Verhulst, Daniela Paolotti, Ciro Cattuto, and Alessandro Vespignani: “As society continues to emerge from the legacy of COVID-19, a dangerous complacency seems to be setting in. Amidst recurrent surges of cases, each serving as a reminder of the virus’s persistence, there is a noticeable decline in collective urgency to prepare for future pandemics. This situation represents not just a lapse in memory but a significant shortfall in our approach to pandemic preparedness. It dramatically underscores the urgent need to develop novel and sustainable approaches and responses and to reinvent how we approach public health emergencies.

Among the many lessons learned from previous infectious disease outbreaks, the potential and utility of data, and particularly non-traditional forms of data, are surely among the most important lessons. Among other benefits, data has proven useful in providing intelligence and situational awareness in early stages of outbreaks, empowering citizens to protect their health and the health of vulnerable community members, advancing compliance with non-pharmaceutical interventions to mitigate societal impacts, tracking vaccination rates and the availability of treatment, and more. A variety of research now highlights the particular role played by open source data (and other non-traditional forms of data) in these initiatives.

Although multiple data sources are useful at various stages of outbreaks, we focus on two critical stages proven to be especially challenging: what we call the first mile and the last mile.

We argue that focusing on these two stages (or chokepoints) can help pandemic responses and rationalize resources. In particular, we highlight the role of Data Stewards at both stages and in overall pandemic response effectiveness…(More)”.

Data4Philanthropy


New Resource and Peer-to-Peer Learning Network: “Today’s global challenges have become increasingly complex and interconnected–from a global pandemic to the climate crisis. Solving these complex problems not only require new solutions, they also demand new methods for developing solutions and making decisions. By responsibly analyzing and using data, we can transform our understanding and approach to addressing societal issues and drive impact through our work.

However, many of these data-driven methods have not yet been adopted by the social sector or integrated across the grant-making cycle.

So we asked, how can innovations in data-driven methods and tools from multiple sectors transform decision making within philanthropy & improve the act of grant giving?

DATA4Philanthropy is a peer-to-peer learning network that aims to identify and advance the responsible use and value of data innovations across philanthropic functions.

Philanthropies can learn more about the potential of data for their sector, who to connect with to learn more about data, and how innovations in data-driven methods and tools are increasingly relevant across the stages of strategy to grant making to impact cycles.

The rapid change in both data supply, and now methods can be integrated across the philanthropy, civil society and government decision-making cycles–from developing joint priorities to improving implementation efficacy to evaluating the impact of investments…(More)”

Revolutionizing Governance: AI-Driven Citizen Engagement


Article by Komal Goyal: “Government-citizen engagement has come a long way over the past decade, with governments increasingly adopting AI-powered analytics, automated processes and chatbots to engage with citizens and gain insights into their concerns. A 2023 Stanford University report found that the federal government spent $3.3 billion on AI in the fiscal year 2022, highlighting the remarkable upswing in AI adoption across various government sectors.

As the demands of a digitally empowered and information-savvy society constantly evolve, it is becoming imperative for government agencies to revolutionize how they interact with their constituents. I’ll discuss how AI can help achieve this and pave the way for a more responsive, inclusive and effective form of governance…(More)”.

The story of the R number: How an obscure epidemiological figure took over our lives


Article by Gavin Freeguard: “Covid-19 did not only dominate our lives in April 2020. It also dominated the list of new words entered into the Oxford English Dictionary.

Alongside Covid-19 itself (noun, “An acute respiratory illness in humans caused by a coronavirus”), the vocabulary of the virus included “self-quarantine”, “social distancing”, “infodemic”, “flatten the curve”, “personal protective equipment”, “elbow bump”, “WFH” and much else. But nestled among this pantheon of new pandemic words was a number, one that would shape our conversations, our politics, our lives for the next 18 months like no other: “Basic reproduction number (R0): The average number of cases of an infectious disease arising by transmission from a single infected individual, in a population that has not previously encountered the disease.”

graphic

“There have been many important figures in this pandemic,” wrote The Times in January 2021, “but one has come to tower over the rest: the reproduction rate. The R number, as everyone calls it, has been used by the government to justify imposing and lifting lockdowns. Indeed while there are many important numbers — gross domestic product, parliamentary majorities, interest rates — few can compete right now with R” (tinyurl.com/v7j6cth9).

Descriptions of it at the start of the pandemic made R the star of the disaster movie reality we lived through. And it wasn’t just a breakout star of the UK’s coronavirus press conferences; in Germany, (then) Chancellor Angela Merkel made the most of her scientific background to explain the meaning of R and its consequences to the public (tinyurl.com/mva7urw5).

But for others, the “obsession” (Professor Linda Bauld, University of Edinburgh) with “the pandemic’s misunderstood metric” (Naturetinyurl.com/y3sr6n6m) has been “a distraction”, an “unhelpful focus”; as the University of Edinburgh’s Professor Mark Woolhouse told one parliamentary select committee, “we’ve created a monster”.

How did this epidemiological number come to dominate our discourse? How useful is it? And where does it come from?…(More)”.

Future-Proofing Transparency: Re-Thinking Public Record Governance For the Age of Big Data


Paper by Beatriz Botero Arcila: “Public records, public deeds, and even open data portals often include personal information that can now be easily accessed online. Yet, for all the recent attention given to informational privacy and data protection, scant literature exists on the governance of personal information that is available in public documents. This Article examines the critical issue of balancing privacy and transparency within public record governance in the age of Big Data.

With Big Data and powerful machine learning algorithms, personal information in public records can easily be used to infer sensitive data about people or aggregated to create a comprehensive personal profile of almost anyone. This information is public and open, however, for many good reasons: ensuring political accountability, facilitating democratic participation, enabling economic transactions, combating illegal activities such as money laundering and terrorism financing, and facilitating. Can the interest in record publicity coexist with the growing ease of deanonymizing and revealing sensitive information about individuals?

This Article addresses this question from a comparative perspective, focusing on US and EU access to information law. The Article shows that the publicity of records was, in the past and not withstanding its presumptive public nature, protected because most people would not trouble themselves to go to public offices to review them, and it was practical impossible to aggregate them to draw extensive profiles about people. Drawing from this insight and contemporary debates on data governance, this Article challenges the binary classification of data as either published or not and proposes a risk-based framework that re-insert that natural friction to public record governance by leveraging techno-legal methods in how information is published and accessed…(More)”.

Defending the rights of refugees and migrants in the digital age


Primer by Amnesty International: “This is an introduction to the pervasive and rapid deployment of digital technologies in asylum and migration management systems across the globe including the United States, United Kingdom and the European Union. Defending the rights of refugees and migrants in the digital age, highlights some of the key digital technology developments in asylum and migration management systems, in particular systems that process large quantities of data, and the human rights issues arising from their use. This introductory briefing aims to build our collective understanding of these emerging technologies and hopes to add to wider advocacy efforts to stem their harmful effects…(More)”.

AI for Good: Applications in Sustainability, Humanitarian Action, and Health


Book by Juan M. Lavista Ferres, and William B. Weeks: “…delivers an insightful and fascinating discussion of how one of the world’s most recognizable software companies is tackling intractable social problems with the power of artificial intelligence (AI). In the book, you’ll see real in-the-field examples of researchers using AI with replicable methods and reusable AI code to inspire your own uses.

The authors also provide:

  • Easy-to-follow, non-technical explanations of what AI is and how it works
  • Examples of the use of AI for scientists working on mitigating climate change, showing how AI can better analyze data without human bias, remedy pattern recognition deficits, and make use of satellite and other data on a scale never seen before so policy makers can make informed decisions
  • Real applications of AI in humanitarian action, whether in speeding disaster relief with more accurate data for first responders or in helping address populations that have experienced adversity with examples of how analytics is being used to promote inclusivity
  • A deep focus on AI in healthcare where it is improving provider productivity and patient experience, reducing per-capita healthcare costs, and increasing care access, equity, and outcomes
  • Discussions of the future of AI in the realm of social benefit organizations and efforts…(More)”

Winning the Battle of Ideas: Exposing Global Authoritarian Narratives and Revitalizing Democratic Principles


Report by Joseph Siegle: “Democracies are engaged in an ideological competition with autocracies that could reshape the global order. Narratives are a potent, asymmetric instrument of power, as they reframe events in a way that conforms to and propagates a particular worldview. Over the past decade and a half, autocracies like Russia and China have led the effort to disseminate authoritarian narratives globally, seeking to normalize authoritarianism as an equally viable and legitimate form of government. How do authoritarian narratives reframe an unappealing value proposition, with the aim of making the democratic path seem less attractive and offering authoritarianism as an alternative model? How can democracies reemphasize their core principles and remind audiences of democracy’s moral, developmental, and security advantages?…(More)”.

In the long run: the future as a political idea


Book by Jonathan White: “Democracy is future-oriented and self-correcting: today’s problems can be solved, we are told, in tomorrow’s elections. But the biggest issues facing the modern world – from climate collapse and pandemics to recession and world war – each apparently bring us to the edge of the irreversible. What happens to democracy when the future seems no longer open?

In this eye-opening history of ideas, Jonathan White investigates how politics has long been directed by shifting visions of the future, from the birth of ideologies in the nineteenth century to Cold War secrecy and the excesses of the neoliberal age.

As an inescapable sense of disaster defines our politics, White argues that a political commitment to the long-term may be the best way to safeguard democracy. Wide in scope and sharply observed, In the Long Run is a history of the future that urges us to make tomorrow new again…(More)”.

Can the Internet be Governed?


Article by Akash Kapur: “…During the past decade or so, however, governments around the world have grown impatient with the notion of Internet autarky. A trickle of halfhearted interventions has built into what the legal scholar Anu Bradford calls a “cascade of regulation.” In “Digital Empires” (Oxford), her comprehensive and insightful book on global Internet policy, she describes a series of skirmishes—between regulators and companies, and among regulators themselves—whose outcomes will “shape the future ethos of the digital society and define the soul of the digital economy.”

Other recent books echo this sense of the network as being at a critical juncture. Tom Wheeler, a former chairman of the F.C.C., argues in “Techlash: Who Makes the Rules in the Digital Gilded Age?” (Brookings) that we are at “a legacy moment for this generation to determine whether, and how, it will assert the public interest in the new digital environment.” In “The Internet Con” (Verso), Doctorow makes a passionate case for “relief from manipulation, high-handed moderation, surveillance, price-gouging, disgusting or misleading algorithmic suggestions”; he argues that it is time to “dismantle Big Tech’s control over our digital lives and devolve control to the people.” In “Read Write Own” (Random House), Chris Dixon, a venture capitalist, says that a network dominated by a handful of private interests “is neither the internet I want to see nor the world I wish to live in.” He writes, “Think about how much of your life you live online, how much of your identity resides there. . . . Whom do you want in control of that world?”…(More)”.