Trump Wants to Merge Government Data. Here Are 314 Things It Might Know About You.

Curated on Posted on by Stefaan Verhulst

Article by Emily Badger and Sheera Frenkel: “The federal government knows your mother’s maiden name and your bank account number. The student debt you hold. Your disability status. The company that employs you and the wages you earn there. And that’s just a start. It may also know your …and at least 263 more categories of data.These intimate details about the personal lives of people who live in the United States are held in disconnected data systems across the federal government — some at the Treasury, some at the Social Security Administration and some at the Department of Education, among other agencies.

The Trump administration is now trying to connect the dots of that disparate information. Last month, President Trump signed an executive order calling for the “consolidation” of these segregated records, raising the prospect of creating a kind of data trove about Americans that the government has never had before, and that members of the president’s own party have historically opposed.

The effort is being driven by Elon Musk, the world’s richest man, and his lieutenants with the Department of Government Efficiency, who have sought access to dozens of databases as they have swept through agencies across the federal government. Along the way, they have elbowed past the objections of career staff, data security protocols, national security experts and legal privacy protections…(More)”.

We Must Steward, Not Subjugate Nor Worship AI

Curated on Posted on by Stefaan Verhulst

Essay by Brian J. A. Boyd: “…How could stewardship of artificially living AI be pursued on a broader, even global, level? Here, the concept of “integral ecology” is helpful. Pope Francis uses the phrase to highlight the ways in which everything is connected, both through the web of life and in that social, political, and environmental challenges cannot be solved in isolation. The immediate need for stewardship over AI is to ensure that its demands for power and industrial production are addressed in a way that benefits those most in need, rather than de-prioritizing them further. For example, the energy requirements to develop tomorrow’s AI should spur research into small modular nuclear reactors and updated distribution systems, making energy abundant rather than causing regressive harms by driving up prices on an already overtaxed grid. More broadly, we will need to find the right institutional arrangements and incentive structures to make AI Amistics possible.

We are having a painfully overdue conversation about the nature and purpose of social media, and tech whistleblowers like Tristan Harris have offered grave warnings about how the “race to the bottom of the brain stem” is underway in AI as well. The AI equivalent of the addictive “infinite scroll” design feature of social media will likely be engagement with simulated friends — but we need not resign ourselves to it becoming part of our lives as did social media. And as there are proposals to switch from privately held Big Data to a public Data Commons, so perhaps could there be space for AI that is governed not for maximizing profit but for being sustainable as a common-pool resource, with applications and protocols ordered toward long-run benefit as defined by local communities…(More)”.

Why more AI researchers should collaborate with governments

Curated on Posted on by Stefaan Verhulst

Article by Mohamed Ibrahim: “Artificial intelligence (AI) is beginning to transform many industries, yet its use to improve public services remains limited globally. AI-based tools could streamline access to government benefits through online chatbots or automate systems by which citizens report problems such as potholes.

Currently, scholarly advances in AI are mostly confined to academic papers and conferences, rarely translating into actionable government policies or products. This means that the expertise at universities is not used to solve real-world problems. As a No10 Innovation Fellow with the UK government and a lecturer in spatial data science, I have explored the potential of AI-driven rapid prototyping in public policy.

Take Street.AI, a prototype smartphone app that I developed, which lets citizens report issues including potholes, street violence or illegal litter dumping by simply taking a picture through the app. The AI model classifies the problem automatically and alerts the relevant local authority, passing on the location and details of the issue. A key feature of the app is its on-device processing, which ensures privacy and reduces operational costs. Similar tools were tested as an early-warning system during the riots that swept the United Kingdom in July and August 2024.

AI models can also aid complex decision-making — for instance, that involved in determining where to build houses. The UK government plans to construct 1.5 million homes in the next 5 years, but planning laws require that several parameters be considered — such as proximity to schools, noise levels, the neighbourhoods’ built-up ratio and flood risk. The current strategy is to compile voluminous academic reports on viable locations, but an online dashboard powered by AI that can optimize across parameters would be much more useful to policymakers…(More)”.

Developing countries are struggling to achieve their technology aims. Shared digital infrastructure is the answer

Curated on Posted on by Stefaan Verhulst

Article by Nii Simmonds: “The digital era offers remarkable prospects for both economic advancement and social development. Yet for emerging economies lacking energy, this potential often seems out of reach. The harsh truths of inconsistent electricity supply and scarce resources looms large over their digital ambitions. Nevertheless, a ray of hope shines through a strategy I call shared digital infrastructure (SDI). This cooperative model has the ability to turn these obstacles into opportunities for growth. By collaborating through regional country partnerships and bodies such as the Association of Southeast Asian Nations (ASEAN), the African Union (AU) and the Caribbean Community (CARICOM), these countries can harness the revolutionary power of digital technology, despite the challenges.

The digital economy is a critical driver of global GDP, with innovations in artificial intelligence, e-commerce and financial technology transforming industries at an unprecedented pace. At the heart of this transformation are data centres, which serve as the backbone of digital services, cloud computing and AI-driven applications. Yet many developing nations struggle to establish and maintain such facilities due to high energy costs, inadequate grid reliability and limited investment capital…(More)”.

Exploring Human Mobility in Urban Nightlife: Insights from Foursquare Data

Curated on Posted on by Stefaan Verhulst

Article by Ehsan Dorostkar: “In today’s digital age, social media platforms like Foursquare provide a wealth of data that can reveal fascinating insights into human behavior, especially in urban environments. Our recent study, published in Cities, delves into how virtual mobility on Foursquare translates into actual human mobility in Tehran’s nightlife scenes. By analyzing user-generated data, we uncovered patterns that can help urban planners create more vibrant and functional nightlife spaces…

Our study aimed to answer two key questions:

  1. How does virtual mobility on Foursquare influence real-world human mobility in urban nightlife?
  2. What spatial patterns emerge from these movements, and how can they inform urban planning?

To explore these questions, we focused on two bustling nightlife spots in Tehran—Region 1 (Darband Square) and Region 6 (Valiasr crossroads)—where Foursquare data indicated high user activity.

Methodology

We combined data from two sources:

  1. Foursquare API: To track user check-ins and identify popular nightlife venues.
  2. Tehran Municipality API: To contextualize the data within the city’s urban framework.

Using triangulation and interpolation techniques, we mapped the “human mobility triangles” in these areas, calculating the density and spread of user activity…(More)”.

Massive, Unarchivable Datasets of Cancer, Covid, and Alzheimer’s Research Could Be Lost Forever

Curated on Posted on by Stefaan Verhulst

Article by Sam Cole: “Almost two dozen repositories of research and public health data supported by the National Institutes of Health are marked for “review” under the Trump administration’s direction, and researchers and archivists say the data is at risk of being lost forever if the repositories go down. 

“The problem with archiving this data is that we can’t,” Lisa Chinn, Head of Research Data Services at the University of Chicago, told 404 Media. Unlike other government datasets or web pages, downloading or otherwise archiving NIH data often requires a Data Use Agreement between a researcher institution and the agency, and those agreements are carefully administered through a disclosure risk review process. 

A message appeared at the top of multiple NIH websites last week that says: “This repository is under review for potential modification in compliance with Administration directives.”

Repositories with the message include archives of cancer imagery, Alzheimer’s disease research, sleep studies, HIV databases, and COVID-19 vaccination and mortality data…

“So far, it seems like what is happening is less that these data sets are actively being deleted or clawed back and more that they are laying off the workers whose job is to maintain them, update them and maintain the infrastructure that supports them,” a librarian affiliated with the Data Rescue Project told 404 Media. “In time, this will have the same effect, but it’s really hard to predict. People don’t usually appreciate, much less our current administration, how much labor goes into maintaining a large research dataset.”…(More)”.

Europe’s GDPR privacy law is headed for red tape bonfire within ‘weeks’

Curated on Posted on by Stefaan Verhulst

Article by Ellen O’Regan: “Europe’s most famous technology law, the GDPR, is next on the hit list as the European Union pushes ahead with its regulatory killing spree to slash laws it reckons are weighing down its businesses.

The European Commission plans to present a proposal to cut back the General Data Protection Regulation, or GDPR for short, in the next couple of weeks. Slashing regulation is a key focus for Commission President Ursula von der Leyen, as part of an attempt to make businesses in Europe more competitive with rivals in the United States, China and elsewhere. 

The EU’s executive arm has already unveiled packages to simplify rules around sustainability reporting and accessing EU investment. The aim is for companies to waste less time and money on complying with complex legal and regulatory requirements imposed by EU laws…Seven years later, Brussels is taking out the scissors to give its (in)famous privacy law a trim.

There are “a lot of good things about GDPR, [and] privacy is completely necessary. But we don’t need to regulate in a stupid way. We need to make it easy for businesses and for companies to comply,” Danish Digital Minister Caroline Stage Olsen told reporters last week. Denmark will chair the work in the EU Council in the second half of 2025 as part of its rotating presidency.

The criticism of the GDPR echoes the views of former Italian Prime Minister Mario Draghi, who released a landmark economic report last September warning that Europe’s complex laws were preventing its economy from catching up with the United States and China. “The EU’s regulatory stance towards tech companies hampers innovation,” Draghi wrote, singling out the Artificial Intelligence Act and the GDPR…(More)”.

DOGE comes for the data wonks

Curated on Posted on by Stefaan Verhulst

The Economist: “For nearly three decades the federal government has painstakingly surveyed tens of thousands of Americans each year about their health. Door-knockers collect data on the financial toll of chronic conditions like obesity and asthma, and probe the exact doses of medications sufferers take. The result, known as the Medical Expenditure Panel Survey (MEPS), is the single most comprehensive, nationally representative portrait of American health care, a balkanised and unwieldy $5trn industry that accounts for some 17% of GDP.

MEPS is part of a largely hidden infrastructure of government statistics collection now in the crosshairs of the Department of Government Efficiency (DOGE). In mid-March officials at a unit of the Department of Health and Human Services (HHS) that runs the survey told employees that DOGE had slated them for an 80-90% reduction in staff and that this would “not be a negotiation”. Since then scores of researchers have taken voluntary buyouts. Those left behind worry about the integrity of MEPS. “Very unclear whether or how we can put on MEPS” with roughly half of the staff leaving, one said. On March 27th, the health secretary, Robert F. Kennedy junior, announced an overall reduction of 10,000 personnel at the department, in addition to those who took buyouts.

There are scores of underpublicised government surveys like MEPS that document trends in everything from house prices to the amount of lead in people’s blood. Many provide standard-setting datasets and insights into the world’s largest economy that the private sector has no incentive to replicate.

Even so, America’s system of statistics research is overly analogue and needs modernising. “Using surveys as the main source of information is just not working” because it is too slow and suffers from declining rates of participation, says Julia Lane, an economist at New York University. In a world where the economy shifts by the day, the lags in traditional surveys—whose results can take weeks or even years to refine and publish—are unsatisfactory. One practical reform DOGE might encourage is better integration of administrative data such as tax records and social-security filings which often capture the entire population and are collected as a matter of course.

As in so many other areas, however, DOGE’s sledgehammer is more likely to cause harm than to achieve improvements. And for all its clunkiness, America’s current system manages a spectacular feat. From Inuits in remote corners of Alaska to Spanish-speakers in the Bronx, it measures the country and its inhabitants remarkably well, given that the population is highly diverse and spread out over 4m square miles. Each month surveys from the federal government reach about 1.5m people, a number roughly equivalent to the population of Hawaii or West Virginia…(More)”.

How governments can move beyond bureaucracy

Curated on Posted on by Stefaan Verhulst

Interview with Jorrit de Jong: “..Bureaucracy is not so much a system of rules, it is a system of values. It is an organizational form that governs how work gets done in accordance with principles that the sociologist Max Weber first codified: standardization, formalization, expert officialdom, specialization, hierarchy, and accountability. Add those up and you arrive at a system that values the written word; that is siloed because that’s what specialization does; that can sometimes be slow because there is a chain of command and an approval process. Standardization supports the value that it doesn’t matter who you are, who you know, what you look like when you’re applying for a permit, or who is issuing the permit: the case will be evaluated based on its merits. That is a good thing. Bureaucracy is a way to do business in a rational, impersonal, responsible and efficient way, at least in theory…

It becomes a problem when organizations start to violate their own values and lose connection with their purpose. If standardization turns into rigidity, doing justice to extenuating individual circumstances becomes hard. If formalization becomes pointless paper pushing, it defeats the purpose. And if accountability structures favor risk aversion over taking initiative, organizations can’t innovate.

Bureaucratic dysfunction occurs when the system that we’ve created ceases to produce the value that we wanted out of it. But that does not mean we have to throw away the baby with the bathwater. Can we create organizations that have the benefits of accountability, standardization and specialization without the burdens of slowness, rigidity, and silos? My answer is yes. Research we did with the Bloomberg Harvard City Leadership Initiative shows how organizations can improve performance by building capabilities that make them more nimble, responsive, and user-friendly. Cities that leverage data to better understand the communities they serve and measure performance learn and improve faster. Cities that use design thinking to reinvent resident services save time and money. And cities that collaborate across organizational and sector boundaries come up with more effective solutions to urban problems…(More)”

What Autocrats Want From Academics: Servility

Curated on Posted on by Stefaan Verhulst

Essay by Anna Dumont: “Since Trump’s inauguration, the university community has received a good deal of “messaging” from academic leadership. We’ve received emails from our deans and university presidents; we’ve sat in department meetings regarding the “developing situation”; and we’ve seen the occasional official statement or op-ed or comment in the local newspaper. And the unfortunate takeaway from all this is that our leaders’ strategy rests on a disturbing and arbitrary distinction. The public-facing language of the university — mission statements, programming, administrative structures, and so on — has nothing at all to do with the autonomy of our teaching and research, which, they assure us, they hold sacrosanct. Recent concessions — say, the disappearance of the website of the Women’s Center — are concerning, they admit, but ultimately inconsequential to our overall working lives as students and scholars.

History, however, shows that public-facing statements are deeply consequential, and one episode from the 20-year march of Italian fascism strikes me as especially instructive. On October 8, 1931, a law went into effect requiring, as a condition of their employment, every Italian university professor to sign an oath pledging their loyalty to the government of Benito Mussolini. Out of over 1,200 professors in the country, only 12 refused.

Today, those who refused are known simply as “I Dodici”: the Twelve. They were a scholar of Middle Eastern languages, an organic chemist, a doctor of forensic medicine, three lawyers, a mathematician, a theologian, a surgeon, a historian of ancient Rome, a philosopher of Kantian ethics, and one art historian. Two, Francesco Ruffini and Edoardo Ruffini Avondo, were father and son. Four were Jewish. All of them were immediately fired…(More)”