Making Civic Trust Less Abstract: A Framework for Measuring Trust Within Cities

Curated on Posted on by Stefaan Verhulst

Report by Stefaan Verhulst, Andrew J. Zahuranec, and Oscar Romero: “Trust is foundational to effective governance, yet its inherently abstract nature has made it difficult to measure and operationalize, especially in urban contexts. This report proposes a practical framework for city officials to diagnose and strengthen civic trust through observable indicators and actionable interventions.

Rather than attempting to quantify trust as an abstract concept, the framework distinguishes between the drivers of trust—direct experiences and institutional interventions—and its manifestations, both emotional and behavioral. Drawing on literature reviews, expert workshops, and field engagement with the New York City Civic Engagement Commission (CEC), we present a three-phase approach: (1) baseline assessment of trust indicators, (2) analysis of causal drivers, and (3) design and continuous evaluation of targeted interventions. The report illustrates the framework’s applicability through a hypothetical case involving the NYC Parks Department and a real-world case study of the citywide participatory budgeting initiative, The People’s Money. By providing a structured, context-sensitive, and iterative model for measuring civic trust, this report seeks to equip public institutions and city officials with a framework for meaningful measurement of civic trust…(More)”

Hamburg Declaration on Responsible AI

Curated on Posted on by Stefaan Verhulst

Declaration by the United Nations Development Programme (UNDP), in partnership with the German Federal Ministry for Economic Cooperation and Development (BMZ): “We are at a crossroads. Despite the progress made in recent years, we need renewed commitment andvengagement to advance toward and achieve the Sustainable Development Goals (SDGs). Digital technologies, such as Artificial Intelligence (AI), can play a significant role in this regard. AI presents opportunities and risks in a world of rapid social, political, economic, ecological, and technological shifts. If developed and deployed responsibly, AI can drive sustainable development and benefit society, the economy, and the planet. Yet, without safeguards throughout the AI value chain, it may widen inequalities within and between countries and contribute to direct harm through inappropriate, illegal, or deliberate misuse. It can also contribute to human rights violations, fuel disinformation, homogenize creative and cultural expression, and harm the environment. These risks are likely to disproportionately affect low-income countries, vulnerable groups, and future generations. Geopolitical competition and market dependencies further amplify these risks…(More)”.

Silicon Valley Is at an Inflection Point

Curated on Posted on by Stefaan Verhulst

Article by Karen Hao: “…In the decade that I have observed Silicon Valley — first as an engineer, then as a journalist — I’ve watched the industry shift to a new paradigm. Tech companies have long reaped the benefits of a friendly U.S. government, but the Trump administration has made clear that it will now grant new firepower to the industry’s ambitions. The Stargate announcement was just one signal. Another was the Republican tax bill that the House passed last week, which would prohibit states from regulating A.I. for the next 10 years.

The leading A.I. giants are no longer merely multinational corporations; they are growing into modern-day empires. With the full support of the federal government, soon they will be able to reshape most spheres of society as they please, from the political to the economic to the production of science…(More)”.

Surveillance pricing: How your data determines what you pay

Curated on Posted on by Stefaan Verhulst

Article by Douglas Crawford: “Surveillance pricing, also known as personalized or algorithmic pricing, is a practice where companies use your personal data, such as your location, the device you’re using, your browsing history, and even your income, to determine what price to show you. It’s not just about supply and demand — it’s about you as a consumer and how much the system thinks you’re able (or willing) to pay.

Have you ever shopped online for a flight(new window), only to find that the price mysteriously increased the second time you checked? Or have you and a friend searched for the same hotel room on your phones, only to find your friend sees a lower price? This isn’t a glitch — it’s surveillance pricing at work.

In the United States, surveillance pricing is becoming increasingly prevalent across various industries, including airlines, hotels, and e-commerce platforms. It exists elsewhere, but in other parts of the world, such as the European Union, there is a growing recognition of the danger this pricing model presents to citizens’ privacy, resulting in stricter data protection laws aimed at curbing it. The US appears to be moving in the opposite direction…(More)”.

Reliable data facilitates better policy implementation

Curated on Posted on by Stefaan Verhulst

Article by Ganesh Rao and Parul Agarwal: “Across India, state government departments are at the forefront of improving human capabilities through education, health, and nutrition programmes. Their ability to do so effectively depends on administrative (or admin) data1 collected and maintained by their staff. This data is collected as part of regular operations and informs both day-to-day decision-making and long-term policy. While policymaking can draw on (reasonably reliable) sample surveys alone, effective implementation of schemes and services requires accurate individual-level admin data. However, unreliable admin data can be a severe constraint, forcing bureaucrats to rely on intuition, experience, and informed guesses. Improving the reliability of admin data can greatly enhance state capacity, thereby improving governance and citizen outcomes.  

There has been some progress on this front in recent years. For instance, the Jan Dhan-Aadhaar-Mobile (JAM) trinity has significantly improved direct benefit transfer (DBT) mechanisms by ensuring that certain recipient data is reliable. However, challenges remain in accurately capturing the well-being of targeted citizens. Despite significant investments in the digitisation of data collection and management systems, persistent reliability issues undermine the government’s efforts to build a data-driven decision-making culture…

There is growing evidence of serious quality issues in admin data. At CEGIS, we have conducted extensive analyses of admin data across multiple states, uncovering systemic issues in key indicators across sectors and platforms. These quality issues compound over time, undermining both micro-level service delivery and macro-level policy planning. This results in distorted budget allocations, gaps in service provision, and weakened frontline accountability…(More)”.

Digital Democracy in a Divided Global Landscape

Curated on Posted on by Stefaan Verhulst

10 essays by the Carnegie Endowment for International Peace: “A first set of essays analyzes how local actors are navigating the new tech landscape. Lillian Nalwoga explores the challenges and upsides of Starlink satellite internet deployment in Africa, highlighting legal hurdles, security risks, and concerns about the platform’s leadership. As African nations look to Starlink as a valuable tool in closing the digital divide, Nalwoga emphasizes the need to invest in strong regulatory frameworks to safeguard digital spaces. Jonathan Corpus Ong and Dean Jackson analyze the landscape of counter-disinformation funding in local contexts. They argue that there is a “mismatch” between the priorities of funders and the strategies that activists would like to pursue, resulting in “ineffective and extractive workflows.” Ong and Jackson isolate several avenues for structural change, including developing “big tent” coalitions of activists and strategies for localizing aid projects. Janjira Sombatpoonsiri examines the role of local actors in foreign influence operations in Southeast Asia. She highlights three motivating factors that drive local participation in these operations: financial benefits, the potential to gain an edge in domestic power struggles, and the appeal of anti-Western narratives.

A second set of essays explores evolving applications of digital repression…

A third set focuses on national strategies and digital sovereignty debates…

A fourth set explores pressing tech policy and regulatory questions…(More)”.

Upgrading Democracies with Fairer Voting Methods

Curated on Posted on by Stefaan Verhulst

Paper by Evangelos Pournaras, et al: “Voting methods are instrumental design element of democracies. Citizens use them to express and aggregate their preferences to reach a collective decision. However, voting outcomes can be as sensitive to voting rules as they are to people’s voting choices. Despite the significance and inter-disciplinary scientific progress on voting methods, several democracies keep relying on outdated voting methods that do not fit modern, pluralistic societies well, while lacking social innovation. Here, we demonstrate how one can upgrade real-world democracies, namely by using alternative preferential voting methods such as cumulative voting and the method of equal shares designed for a proportional representation of voters’ preferences. By rigorously assessing a new participatory budgeting approach applied in the city of Aarau, Switzerland, we unravel the striking voting outcomes of fair voting methods: more winning projects with the same budget and broader geographic and preference representation of citizens by the elected projects, in particular for voters who used to be under-represented, while promoting novel project ideas. We provide profound causal evidence showing that citizens prefer proportional voting methods, which possess strong legitimacy without the need of very technical specialized explanations. We also reveal strong underlying democratic values exhibited by citizens who support fair voting methods such as altruism and compromise. These findings come with a global momentum to unleash a new and long-awaited participation blueprint of how to upgrade democracies…(More)”.

Engagement Integrity: Ensuring Legitimacy at a time of AI-Augmented Participation

Curated on Posted on by Stefaan Verhulst

Article by Stefaan G. Verhulst: “As participatory practices are increasingly tech-enabled, ensuring engagement integrity is becoming more urgent. While considerable scholarly and policy attention has been paid to information integrity (OECD, 2024; Gillwald et al., 2024; Wardle & Derakhshan, 2017; Ghosh & Scott, 2018), including concerns about disinformation, misinformation, and computational propaganda, the integrity of engagement itself — how to ensure collective decision-making is not tech manipulated — remains comparatively under-theorized and under-protected. I define engagement integrity as the procedural fairness and resistance to manipulation of tech-enabled deliberative and participatory processes.

My definition is different from prior discussions of engagement integrity, which mainly emphasized ethical standards when scientists engage with the public (e.g., in advisory roles, communication, or co-research). The concept is particularly salient in light of recent innovations that aim to lower the transaction costs of engagement using artificial intelligence (AI) (Verhulst, 2018). From AI-facilitated citizen assemblies (Simon et al., 2023) to natural language processing (NLP) -enhanced policy proposal platforms (Grobbink & Peach, 2020) to automated analysis of unstructured direct democracy proposals (Grobbink & Peach, 2020) to large-scale deliberative polls augmented with agentic AI (Mulgan, 2022), these developments promise to enhance inclusion, scalability, and sense-making. However, they also create new attack surfaces and vectors of influence that could undermine legitimacy.

This concern is not speculative…(More)”.

How Canada Needs to Respond to the US Data Crisis

Curated on Posted on by Stefaan Verhulst

Article by Danielle Goldfarb: “The United States is cutting and undermining official US data across a wide range of domains, eroding the foundations of evidence-based policy making. This is happening mostly under the radar here in Canada, buried by news about US President Donald Trump’s barrage of tariffs and many other alarming actions. Doing nothing in response means Canada accepts blind spots in critical areas. Instead, this country should respond by investing in essential data and building the next generation of trusted public intelligence.

The United States has cut or altered more than 2,000 official data sets across the science, health, climate and development sectors, according to the National Security Archive. Deep staff cuts across all program areas effectively cancel or deeply erode many other statistical programs….

Even before this data purge, official US data methods were becoming less relevant and reliable. Traditional government surveys lag by weeks or months and face declining participation. This lag proved particularly problematic during the COVID-19 pandemic and also now, when economic data with a one- or two-month lag is largely irrelevant for tracking the real-time impact of constantly shifting Trump tariffs….

With deep ties to the United States, Canada needs to take action to reduce these critical blind spots. This challenge brings a major strength into the picture: Canada’s statistical agencies have strong reputations as trusted, transparent information sources.

First, Canada should strengthen its data infrastructure. Official Canadian data suffers from similar delays and declining response rates as in the United States. Statistics Canada needs a renewed mandate and stable resources to produce policy-relevant indicators, especially in a timelier way, and in areas where US data has been cut or compromised.

Second, Canada could also act as a trusted place to store vulnerable indicators — inventorying missing data sets, archiving those at risk and coordinating global efforts to reconstruct essential metrics.

Third, Canada has an opportunity to lead in shaping the next generation of trusted and better public-interest intelligence…(More)”.

The Agentic State: How Agentic AI Will Revamp 10 Functional Layers of Public Administration

Curated on Posted on by Stefaan Verhulst

Whitepaper by the Global Government Technology Centre Berlin: “…explores how agentic AI will transform ten functional layers of government and public administration. The Agentic State signifies a fundamental shift in governance, where AI systems can perceive, reason, and act with minimal human intervention to deliver public value. Its impact on  key functional layers of government will be as follows…(More)”.