Farmers Sue Over Deletion of Climate Data From Government Websites


Article by Karen Zraick: “Organic farmers and environmental groups sued the Agriculture Department on Monday over its scrubbing of references to climate change from its website.

The department had ordered staff to take down pages focused on climate change on Jan. 30, according to the suit, which was filed in the United States District Court for the Southern District of New York. Within hours, it said, information started disappearing.

That included websites containing data sets, interactive tools and funding information that farmers and researchers relied on for planning and adaptation projects, according to the lawsuit.

At the same time, the department also froze funding that had been promised to businesses and nonprofits through conservation and climate programs. The purge then “removed critical information about these programs from the public record, denying farmers access to resources they need to advocate for funds they are owed,” it said.

The Agriculture Department referred questions about the lawsuit to the Justice Department, which did not immediately respond to a request for comment.

The suit was filed by lawyers from Earthjustice, based in San Francisco, and the Knight First Amendment Institute at Columbia University, on behalf of the Northeast Organic Farming Association of New York, based in Binghamton; the Natural Resources Defense Council, based in New York; and the Environmental Working Group, based in Washington. The latter two groups relied on the department website for their research and advocacy, the lawsuit said.

Peter Lehner, a lawyer for Earthjustice, said the pages being purged were crucial for farmers facing risks linked to climate change, including heat waves, droughts, floods, extreme weather and wildfires. The websites had contained information about how to mitigate dangers and adopt new agricultural techniques and strategies. Long-term weather data and trends are valuable in the agriculture industry for planning, research and business strategy.

“You can purge a website of the words climate change, but that doesn’t mean climate change goes away,” Mr. Lehner said…(More)”.

Governing in the Age of AI: Building Britain’s National Data Library


Report by the Tony Blair Institute for Global Change: “The United Kingdom should lead the world in artificial-intelligence-driven innovation, research and data-enabled public services. It has the data, the institutions and the expertise to set the global standard. But without the right infrastructure, these advantages are being wasted.

The UK’s data infrastructure, like that of every nation, is built around outdated assumptions about how data create value. It is fragmented and unfit for purpose. Public-sector data are locked in silos, access is slow and inconsistent, and there is no system to connect and use these data effectively, or any framework for deciding what additional data would be most valuable to collect given AI’s capabilities.

As a result, research is stalled, AI adoption is held back, and the government struggles to plan services, target support and respond to emerging challenges. This affects everything from developing new treatments to improving transport, tackling crime and ensuring economic policies help those who need them. While some countries are making progress in treating existing data as strategic assets, none have truly reimagined data infrastructure for an AI-enabled future…(More)”

On the Shoulders of Others: The Importance of Regulatory Learning in the Age of AI


Paper by Urs Gasser and Viktor Mayer-Schonberger: “…International harmonization of regulation is the right strategy when the appropriate regulatory ends and means are sufficiently clear to reap efficiencies of scale and scope. When this is not the case, a push for efficiency through uniformity is premature and may lead to a suboptimal regulatory lock-in: the establishment of a rule framework that is either inefficient in the use of its means to reach the intended goal, or furthers the wrong goal, or both.


A century ago, economist Joseph Schumpeter suggested that companies have two distinct strategies to achieve success. The first is to employ economies of scale and scope to lower their cost. It’s essentially a push for improved efficiency. The other strategy is to invent a new product (or production process) that may not, at least initially, be hugely efficient, but is nevertheless advantageous because demand for the new product is price inelastic. For Schumpeter this was the essence of innovation. But, as Schumpeter also argued, innovation is not a simple, linear, and predictable process. Often, it happens in fits and starts, and can’t be easily commandeered or engineered.


As innovation is hard to foresee and plan, the best way to facilitate it is to enable a wide variety of different approaches and solutions. Public policies in many countries to foster startups and entrepreneurship stems from this view. Take, for instance, the policy of regulatory sandboxing, i.e. the idea that for a limited time certain sectors should not or only lightly be regulated…(More)”.

The Preventative Shift: How can we embed prevention and achieve long term missions


Paper by Demos (UK): “Over the past two years Demos has been making the case for a fundamental shift in the purpose of government away from firefighting in public services towards preventing problems arriving. First, we set out the case for The Preventative State, to rebuild local, social and civic foundations; then, jointly with The Health Foundation, we made the case to change treasury rules to ringfence funding for prevention. By differentiating between everyday spending, and preventative spending, the government could measure what really matters.

There has been widespread support for this – but also concerns about both the feasibility of measuring preventative spending accurately and appropriately but also that ring-fencing alone may not lead to the desired improvements in outcomes and value for money.

In response we have developed two practical approaches, covered in two papers:

  • Our first paper, Counting What Matters, explores the challenge of measurement and makes a series of recommendations, including the passage of a “Public Investment Act”, to show how this could be appropriately achieved.
  • This second paper, The Preventative Shift, looks at how to shift the culture of public bodies to think ‘prevention first’ and target spending at activities which promise value for money and improve outcomes…(More)”.

In Online Democracy, Fun Is Imperative


Essay by Joe Mathews: “Governments around the world, especially those at the subnational and local levels, find themselves stuck in a vise. Planetary problems like climate change, disease, and technological disruption are not being addressed adequately by national governments. Everyday people, whose lives have been disrupted by those planetary problems, press the governments closer to them to step up and protect them. But those governments lack the technical capacity and popular trust to act effectively against bigger problems.

To build trust and capacity, many governments are moving governance into the digital world and asking their residents to do more of the work of government themselves. Some cities, provinces, and political institutions have tried to build digital platforms and robust digital environments where residents can improve service delivery and make government policy themselves.

However, most of these experiments have been failures. The trouble is that most of these platforms cannot keep the attention of the people who are supposed to use them. Too few of the platforms are designed to make online engagement compelling. So, figuring out how to make online engagement in government fun is actually a serious question for governments seeking to work more closely with their people.

What does fun look like in this sphere? I first witnessed a truly fun and engaging digital tool for citizen governance in Rome in 2018. While running a democracy conference with Mayor Virginia Raggi and her team, they were always on their phones, and not just to answer emails or texts. They were constantly on a digital environment called Rousseau.

Rousseau was named after Jean-Jacques Rousseau, the eighteenth-century philosopher and author of The Social Contract. In that 1762 book, Rousseau argued that city-states (like his hometown of Geneva) were more naturally suited to democracy than nation-states (especially big nations like France). He also wrote that the people themselves, not elected representatives, were the best rulers through what we today call direct democracy…(More)”.

How Innovation Ecosystems Foster Citizen Participation Using Emerging Technologies in Portugal, Spain and the Netherlands


OECD Report: “This report examines how actors in Portugal, Spain and the Netherlands interact and work together to contribute to the development of emerging technologies for citizen participation. Through in-depth research and analysis of actors’ motivations, experiences, challenges, and enablers in this nascent but promising field, this paper presents a unique cross-national perspective on innovation ecosystems for citizen participation using emerging technology. It includes lessons and concrete proposals for policymakers, innovators, and researchers seeking to develop technology-based citizen participation initiatives…(More)”.

What 40 Million Devices Can Teach Us About Digital Literacy in America


Blog by Juan M. Lavista Ferres: “…For the first time, Microsoft is releasing a privacy-protected dataset that provides new insights into digital engagement across the United States. This dataset, built from anonymized usage data from 40 million Windows devices, offers the most comprehensive view ever assembled of how digital tools are being used across the country. It goes beyond surveys and self-reported data to provide a real-world look at software application usage across 28,000 ZIP codes, creating a more detailed and nuanced understanding of digital engagement than any existing commercial or government study.

In collaboration with leading researchers at Harvard University and the University of Pennsylvania, we analyzed this dataset and developed two key indices to measure digital literacy:

  • Media & Information Composite Index (MCI): This index captures general computing activity, including media consumption, information gathering, and usage of productivity applications like word processing, spreadsheets, and presentations.
  • Content Creation & Computation Index (CCI): This index measures engagement with more specialized digital applications, such as content creation tools like Photoshop and software development environments.

By combining these indices with demographic data, several important insights emerge:

Urban-Rural Disparities Exist—But the Gaps Are Uneven While rural areas often lag in digital engagement, disparities within urban areas are just as pronounced. Some city neighborhoods have digital activity levels on par with major tech hubs, while others fall significantly behind, revealing a more complex digital divide than previously understood.

Income and Education Are Key Drivers of Digital Engagement Higher-income and higher-education areas show significantly greater engagement in content creation and computational tasks. This suggests that digital skills—not just access—are critical in shaping economic mobility and opportunity. Even in places where broadband availability is the same, digital usage patterns vary widely, demonstrating that access alone is not enough.

Infrastructure Alone Won’t Close the Digital Divide Providing broadband connectivity is essential, but it is not a sufficient solution to the challenges of digital literacy. Our findings show that even in well-connected regions, significant skill gaps persist. This means that policies and interventions must go beyond infrastructure investments to include comprehensive digital education, skills training, and workforce development initiatives…(More)”.

Patients’ Trust in Health Systems to Use Artificial Intelligence


Paper by Paige Nong and Jodyn Platt: “The growth and development of artificial intelligence (AI) in health care introduces a new set of questions about patient engagement and whether patients trust systems to use AI responsibly and safely. The answer to this question is embedded in patients’ experiences seeking care and trust in health systems. Meanwhile, the adoption of AI technology outpaces efforts to analyze patient perspectives, which are critical to designing trustworthy AI systems and ensuring patient-centered care.

We conducted a national survey of US adults to understand whether they trust their health systems to use AI responsibly and protect them from AI harms. We also examined variables that may be associated with these attitudes, including knowledge of AI, trust, and experiences of discrimination in health care….Most respondents reported low trust in their health care system to use AI responsibly (65.8%) and low trust that their health care system would make sure an AI tool would not harm them (57.7%)…(More)”.

Conflicts over access to Americans’ personal data emerging across federal government


Article by Caitlin Andrews: “The Trump administration’s fast-moving efforts to limit the size of the U.S. federal bureaucracy, primarily through the recently minted Department of Government Efficiency, are raising privacy and data security concerns among current and former officials across the government, particularly as the administration scales back positions charged with privacy oversight. Efforts to limit the independence of a host of federal agencies through a new executive order — including the independence of the Federal Trade Commission and Securities and Exchange Commission — are also ringing alarm bells among civil society and some legal experts.

According to CNN, several staff within the Office of Personnel Management’s privacy and records keeping department were fired last week. Staff who handle communications and respond to Freedom of Information Act requests were also let go. Though the entire privacy team was not fired, according to the OPM, details about what kind of oversight will remain within the department were limited. The report also states the staff’s termination date is 15 April.

It is one of several moves the Trump administration has made in recent days reshaping how entities access and provide oversight to government agencies’ information.

The New York Times reports on a wide range of incidents within the government where DOGE’s efforts to limit fraudulent government spending by accessing sensitive agency databases have run up against staffers who are concerned about the privacy of Americans’ personal information. In one incident, Social Security Administration acting Commissioner Michelle King was fired after resisting a request from DOGE to access the agency’s database. “The episode at the Social Security Administration … has played out repeatedly across the federal government,” the Times reported…(More)”.

Tab the lab: A typology of public sector innovation labs


Paper by Aline Stoll and Kevin C Andermatt: “Many public sector organizations set up innovation laboratories in response to the pressure to tackle societal problems and the high expectations placed on them to innovate public services. Our understanding of the public sector innovation laboratories’ role in enhancing the innovation capacity of administrations is still limited. It is challenging to assess or compare the impact of innovation laboratories because of how they operate and what they do. This paper closes this research gap by offering a typology that organizes the diverse nature of innovation labs and makes it possible to compare various lab settings. The proposed typology gives possible relevant factors to increase the innovation capacity of public organizations. The findings are based on a literature review of primarily explorative papers and case studies, which made it possible to identify the relevant criteria. The proposed typology covers three dimensions: (1) value (intended innovation impact of the labs); (2) governance (role of government and financing model); and (3) network (stakeholders in the collaborative arrangements). Comparing European countries and regions with regards to the repartition of labs shows that Nordic and British countries tend to have broader scope than continental European countries…(More)”.