A Roadmap to Accessing Mobile Network Data for Statistics

Curated on Posted on by Stefaan Verhulst

Guide by Global Partnership for Sustainable Development Data: “… introduces milestones on the path to mobile network data access. While it is aimed at stakeholders in national statistical systems and across national governments in general, the lessons should resonate with others seeking to take this route. The steps in this guide are written in the order in which they should be taken, and some readers who have already embarked on this journey may find they have completed some of these steps. 

This roadmap is meant to be followed in steps, and readers may start, stop, and return to points on the path at any point. 

The path to mobile network data access has three milestones:

  1. Evaluating the opportunity – setting clear goals for the desired impact of data innovation.
  2. Engaging with stakeholders – getting critical stakeholders to support your cause.
  3. Executing collaboration agreements – signing a written agreement among partners…(More)”

Moving Toward the FAIR-R principles: Advancing AI-Ready Data

Curated on Posted on by Stefaan Verhulst

Paper by Stefaan Verhulst, Andrew Zahuranec and Hannah Chafetz: “In today’s rapidly evolving AI ecosystem, making data ready for AI-optimized for training, fine-tuning, and augmentation-is more critical than ever. While the FAIR principles (Findability, Accessibility, Interoperability, and Reusability) have guided data management and open science, they do not inherently address AI-specific needs. Expanding FAIR to FAIR-R, incorporating Readiness for AI, could accelerate the responsible use of open data in AI applications that serve the public interest. This paper introduces the FAIR-R framework and identifies current efforts for enhancing AI-ready data through improved data labeling, provenance tracking, and new data standards. However, key challenges remain: How can data be structured for AI without compromising ethics? What governance models ensure equitable access? How can AI itself be leveraged to improve data quality? Answering these questions is essential for unlocking the full potential of AI-driven innovation while ensuring responsible and transparent data use…(More)”.

Announcing the Youth Engagement Toolkit for Responsible Data Reuse: An Innovative Methodology for the Future of Data-Driven Services

Curated on Posted on by Stefaan Verhulst

Blog by Elena Murray, Moiz Shaikh, and Stefaan G. Verhulst: “Young people seeking essential services — whether mental health support, education, or government benefits — often face a critical challenge: they are asked to share their data without having a say in how it is used or for what purpose. While the responsible use of data can help tailor services to better meet their needs and ensure that vulnerable populations are not overlooked, a lack of trust in data collection and usage can have the opposite effect.

When young people feel uncertain or uneasy about how their data is being handled, they may adopt privacy-protective behaviors — choosing not to seek services at all or withholding critical information out of fear of misuse. This risks deepening existing inequalities rather than addressing them.

To build trust, those designing and delivering services must engage young people meaningfully in shaping data practices. Understanding their concerns, expectations, and values is key to aligning data use with their preferences. But how can this be done effectively?

This question was at the heart of a year-long global collaboration through the NextGenData project, which brought together partners worldwide to explore solutions. Today, we are releasing a key deliverable of that project: The Youth Engagement Toolkit for Responsible Data Reuse:

Based on a methodology developed and piloted during the NextGenData project, the Toolkit describes an innovative methodology for engaging young people on responsible data reuse practices, to improve services that matter to them…(More)”.

International Guidelines on People Centred Smart Cities

Curated on Posted on by Stefaan Verhulst

UN-Habitat: “…The guidelines aim to support national, regional and local governments, as well as relevant stakeholders, in leveraging digital technology for a better quality of life in cities and human settlements, while mitigating the associated risks to achieve global visions of sustainable urban development, in line with the New Urban Agenda, the 2030 Agenda for Sustainable Development and other relevant global agendas.
The aim is to promote a people-centred smart cities approach that is consistent with the purpose and the principles of the Charter of the United Nations, including full respect for international law and the Universal Declaration of Human Rights, to ensure that innovation and digital technologies are used to help cities and human settlements in order to achieve the Sustainable Development Goals and the New Urban Agenda.
The guidelines serve as a reference for Member States to implement people-centred smart city approaches in the preparation and implementation of smart city regulations, plans and strategies to promote equitable access to, and life-long education and training of all people in, the opportunities provided by data, digital infrastructure and digital services in cities and human settlements, and to favour transparency and accountability.
The guidelines recognize local and regional governments (LRGs) as pivotal actors in ensuring closing digital divides and localizing the objectives and principles of these guidelines as well as the Global Digital Compact for an open, safe, sustainable and secure digital future. The guidelines are intended to complement existing global principles on digital development through a specific additional focus on the key role of local and regional governments, and local action, in advancing people-centred smart city development also towards the vision of global digital compact…(More)”.

Elon Musk Also Has a Problem with Wikipedia

Curated on Posted on by Stefaan Verhulst

Article by Margaret Talbot: “If you have spent time on Wikipedia—and especially if you’ve delved at all into the online encyclopedia’s inner workings—you will know that it is, in almost every aspect, the inverse of Trumpism. That’s not a statement about its politics. The thousands of volunteer editors who write, edit, and fact-check the site manage to adhere remarkably well, over all, to one of its core values: the neutral point of view. Like many of Wikipedia’s s principles and procedures, the neutral point of view is the subject of a practical but sophisticated epistemological essay posted on Wikipedia. Among other things, the essay explains, N.P.O.V. means not stating opinions as facts, and also, just as important, not stating facts as opinions. (So, for example, the third sentence of the entry titled “Climate change” states, with no equivocation, that “the current rise in global temperatures is driven by human activities, especially fossil fuel burning since the Industrial Revolution.”)…So maybe it should come as no surprise that Elon Musk has lately taken time from his busy schedule of dismantling the federal government, along with many of its sources of reliable information, to attack Wikipedia. On January 21st, after the site updated its page on Musk to include a reference to the much-debated stiff-armed salute he made at a Trump inaugural event, he posted on X that “since legacy media propaganda is considered a ‘valid’ source by Wikipedia, it naturally simply becomes an extension of legacy media propaganda!” He urged people not to donate to the site: “Defund Wikipedia until balance is restored!” It’s worth taking a look at how the incident is described on Musk’s page, quite far down, and judging for yourself. What I see is a paragraph that first describes the physical gesture (“Musk thumped his right hand over his heart, fingers spread wide, and then extended his right arm out, emphatically, at an upward angle, palm down and fingers together”), goes on to say that “some” viewed it as a Nazi or a Roman salute, then quotes Musk disparaging those claims as “politicized,” while noting that he did not explicitly deny them. (There is also now a separate Wikipedia article, “Elon Musk salute controversy,” that goes into detail about the full range of reactions.)

This is not the first time Musk has gone after the site. In December, he posted on X, “Stop donating to Wokepedia.” And that wasn’t even his first bad Wikipedia pun. “I will give them a billion dollars if they change their name to Dickipedia,” he wrote, in an October, 2023, post. It seemed to be an ego thing at first. Musk objected to being described on his page as an “early investor” in Tesla, rather than as a founder, which is how he prefers to be identified, and seemed frustrated that he couldn’t just buy the site. But lately Musk’s beef has merged with a general conviction on the right that Wikipedia—which, like all encyclopedias, is a tertiary source that relies on original reporting and research done by other media and scholars—is biased against conservatives.

The Heritage Foundation, the think tank behind the Project 2025 policy blueprint, has plans to unmask Wikipedia editors who maintain their privacy using pseudonyms (these usernames are displayed in the article history but don’t necessarily make it easy to identify the people behind them) and whose contributions on Israel it deems antisemitic…(More)”.

Presenting the StanDat database on international standards: improving data accessibility on marginal topics

Curated on Posted on by Stefaan Verhulst

Article by Solveig Bjørkholt: “This article presents an original database on international standards, constructed using modern data gathering methods. StanDat facilitates studies into the role of standards in the global political economy by (1) being a source for descriptive statistics, (2) enabling researchers to assess scope conditions of previous findings, and (3) providing data for new analyses, for example the exploration of the relationship between standardization and trade, as demonstrated in this article. The creation of StanDat aims to stimulate further research into the domain of standards. Moreover, by exemplifying data collection and dissemination techniques applicable to investigating less-explored subjects in the social sciences, it serves as a model for gathering, systematizing, and sharing data in areas where information is plentiful yet not readily accessible for research…(More)”.

Disinformation: Definitions and examples

Curated on Posted on by Stefaan Verhulst

Explainer by Perthusasia Centre: “Disinformation has been a tool of manipulation and control for centuries, from ancient military strategies to Cold War propaganda. With the rapid advancement of technology,
it has evolved into a sophisticated and pervasive security threat that transcends traditional boundaries.

This explainer takes the definitions and examples from our recent Indo-Pacific Analysis Brief, Disinformation and cognitive warfare by Senior Fellow Alana Ford, and creates an simple, standalone guide for quick reference…(More)”.

Diversifying Professional Roles in Data Science

Curated on Posted on by Stefaan Verhulst

Policy Briefing by Emma Karoune and Malvika Sharan: The interdisciplinary nature of the data science workforce extends beyond the traditional notion of a “data scientist.” A successful data science team requires a wide range of technical expertise, domain knowledge and leadership capabilities. To strengthen such a team-based approach, this note recommends that institutions, funders and policymakers invest in developing and professionalising diverse roles, fostering a resilient data science ecosystem for the future. 


By recognising the diverse specialist roles that collaborate within interdisciplinary teams, organisations can leverage deep expertise across multiple skill sets, enhancing responsible decision-making and fostering innovation at all levels. Ultimately, this note seeks to shift the perception of data science professionals from the conventional view of individual data scientists to a competency-based model of specialist roles within a team, each essential to the success of data science initiatives…(More)”.

To Stop Tariffs, Trump Demands Opioid Data That Doesn’t Yet Exist

Curated on Posted on by Stefaan Verhulst

Article by Josh Katz and Margot Sanger-Katz: “One month ago, President Trump agreed to delay tariffs on Canada and Mexico after the two countries agreed to help stem the flow of fentanyl into the United States. On Tuesday, the Trump administration imposed the tariffs anyway, saying that the countries had failed to do enough — and claiming that tariffs would be lifted only when drug deaths fall.

But the administration has seemingly established an impossible standard. Real-time, national data on fentanyl overdose deaths does not exist, so there is no way to know whether Canada and Mexico were able to “adequately address the situation” since February, as the White House demanded.

“We need to see material reduction in autopsied deaths from opioids,” said Howard Lutnick, the commerce secretary, in an interview on CNBC on Tuesday, indicating that such a decline would be a precondition to lowering tariffs. “But you’ve seen it — it has not been a statistically relevant reduction of deaths in America.”

In a way, Mr. Lutnick is correct that there is no evidence that overdose deaths have fallen in the last month — since there is no such national data yet. His stated goal to measure deaths again in early April will face similar challenges.

But data through September shows that fentanyl deaths had already been falling at a statistically significant rate for months, causing overall drug deaths to drop at a pace unlike any seen in more than 50 years of recorded drug overdose mortality data.

The declines can be seen in provisional data from the Centers for Disease Control and Prevention, which compiles death records from states, which in turn collect data from medical examiners and coroners in cities and towns. Final national data generally takes more than a year to produce. But, as the drug overdose crisis has become a major public health emergency in recent years, the C.D.C. has been publishing monthly data, with some holes, at around a four-month lag…(More)”.

GeoTechnoGraphy: Mapping Power and Identity in the Digital Age

Curated on Posted on by Stefaan Verhulst

Book by Samir Saran and Anirban Sarma: “In an era defined by rapid technological change, a seismic shift is underway. From the rise of digital platforms that mediate our interactions—with markets, with governments and perhaps most importantly with each other as citizens— to the growing tension between our online personas and our real-world identities, the forces of technology, geography and society are colliding in ways we are only beginning to understand.

Even as technology opens up new opportunities for civic engagement, it simultaneously disrupts the very foundations of societal cohesion. The digital age has given rise to a new stage for global drama—one where surveillance, the weaponization of information and the erosion of trust in national and multilateral institutions are playing out in real time. But as these forces evolve, so too must our understanding of how individuals and societies can navigate them.

Will digital societies endure, or are they doomed to collapse under the weight of their own contradictions? Can democracy as we know it survive in a world where power is increasingly concentrated in the hands of a few tech giants? And as nations grapple with the changing dynamics of governance, how will international norms, laws and institutions adapt?

In GeoTechnoGraphy, Samir Saran and Anirban Sarma offer a compelling analysis of the forces reshaping the modern world. Drawing on groundbreaking research and incisive insights, they examine how the convergence of geography and technology—geotechnography—is redefining power and writing new rules for its exercise…(More)”