Blueprint on Prosocial Tech Design Governance


Blueprint by Lisa Schirch: “… lays out actionable recommendations for governments, civil society, researchers, and industry to design digital platforms that reduce harm and increase benefit to society.

The Blueprint on Prosocial Tech Design Governance responds to the crisis in the scale and impact of digital platform harms. Digital platforms are fueling a systemic crisis by amplifying misinformation, harming mental health, eroding privacy, promoting polarization, exploiting children, and concentrating unaccountable power through manipulative design.

Prosocial tech design governance is a framework for regulating digital platforms based on how their design choices— such as algorithms and interfaces—impact society. It shifts focus “upstream” to address the root causes of digital harms and the structural incentives influencing platform design…(More)”.

Data Integration, Sharing, and Management for Transportation Planning and Traffic Operations


Report by the National Academies of Sciences, Engineering, and Medicine: “Planning and operating transportation systems involves the exchange of large volumes of data that must be shared between partnering transportation agencies, private-sector interests, travelers, and intelligent devices such as traffic signals, ramp meters, and connected vehicles.

NCHRP Research Report 1121: Data Integration, Sharing, and Management for Transportation Planning and Traffic Operations, from TRB’s National Cooperative Highway Research Program, presents tools, methods, and guidelines for improving data integration, sharing, and management practices through case studies, proof-of-concept product developments, and deployment assistance…(More)”.

TAPIS: A Simple Web Tool for Analyzing Citizen-Generated Data


Tool by CityObs: “Citizen observatories and communities collect valuable environmental data — but making sense of this data can be tricky, especially if you’re not a data expert. That’s why we created TAPIS: a free, easy-to-use web tool developed within the CitiObs project to help you view, manage, and analyze data collected from sensors and online platforms.

Why We Built TAPIS

The SensorThings API is a standard for sharing sensor data, used by many observatories. However, tools that help people explore this data visually and interactively have been limited. Often, users had to dig into complicated URLs and query parameters such as “expand”, “select”, “orderby” and “filter” to extract the data they needed, as illustrated in tutorials and examples such as the ones collected by SensorUp [1].

TAPIS changes that. It gives you a visual interface to work with sensor data from different API standards (such as SensorThings API, STAplus, OGC API Features/Records, OGC Catalogue Service for the Web, S3 Services, Eclipse Data Connectors, and STAC) and data file formats (such as CSV, JSON, JSON-LD, GeoJSON, and GeoPackage). You can load the data into tables, filter or group it, and view it as maps, bar charts, pie charts, or scatter plots — all in your browser, with no installation required.

Key Features

  • Connects to online data sources (like OGC APIs, STAC, SensorThings, and CSV files)
  • Turns raw data into easy-to-read tables
  • Adds meaning to table columns
  • Visualizes data with different chart types
  • Links with MiraMon to create interactive maps

TAPIS is inspired by the look and feel of Orange Data Mining (a popular data science tool) — but runs entirely in your browser, making it accessible for all users, even those with limited technical skills…(More)”

AI-Ready Federal Statistical Data: An Extension of Communicating Data Quality


Article by By Hoppe, Travis et al : “Generative Artificial Intelligence (AI) is redefining how people interact with public information and shaping how public data are consumed. Recent advances in large language models (LLMs) mean that more Americans are getting answers from AI chatbots and other AI systems, which increasingly draw on public datasets. The federal statistical community can take action to advance the use of federal statistics with generative AI to ensure that official statistics are front-and-center, powering these AIdriven experiences.
The Federal Committee on Statistical Methodology (FCSM) developed the Framework for Data Quality to help analysts and the public assess fitness for use of data sets. AI-based queries present new challenges, and the framework should be enhanced to meet them. Generative AI acts as an intermediary in the consumption of public statistical information, extracting and combining data with logical strategies that differ from the thought processes and judgments of analysts. For statistical data to be accurately represented and trustworthy, they need to be machine understandable and be able to support models that measure data quality and provide contextual information.
FCSM is working to ensure that federal statistics used in these AI-driven interactions meet the data quality dimensions of the Framework including, but not limited to, accessibility, timeliness, accuracy, and credibility. We propose a new collaborative federal effort to establish best practices for optimizing APIs, metadata, and data accessibility to support accurate and trusted generative AI results…(More)”.

Opening code, opening access: The World Bank’s first open source software release


Article by Keongmin Yoon, Olivier Dupriez, Bryan Cahill, and Katie Bannon: “The World Bank has long championed data transparency. Open data platforms, global indicators, and reproducible research have become pillars of the Bank’s knowledge work. But in many operational contexts, access to raw data alone is not enough. Turning data into insight requires tools—software to structure metadata, run models, update systems, and integrate outputs into national platforms.

With this in mind, the World Bank has released its first Open Source Software (OSS) tool under a new institutional licensing framework. The Metadata Editor—a lightweight application for structuring and publishing statistical metadata—is now publicly available on the Bank’s GitHub repository, under the widely used MIT License, supplemented by Bank-specific legal provisions.

This release marks more than a technical milestone. It reflects a structural shift in how the Bank shares its data and knowledge. For the first time, there is a clear institutional framework for making Bank-developed software open, reusable, and legally shareable—advancing the Bank’s commitment to public goods, transparency, Open Science, and long-term development impact, as emphasized in The Knowledge Compact for Action…(More)”.

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


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)“.

The AI Policy Playbook


Playbook by AI Policymaker Network & Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH: “It moves away from talking about AI ethics in abstract terms but tells of building policies that work right-away in emerging economies and respond to immediate development priorities. The Playbook emphasises that a one-size-fits-all solution doesn’t work. Rather, it illustrates shared challenges—like limited research capacity, fragmented data ecosystems, and compounding AI risks—while spotlighting national innovations and success stories. From drafting AI strategies to engaging communities and safeguarding rights, it lays out a roadmap grounded in local realities….What can you expect to find in the AI Policy Playbook:

  1. Policymaker Interviews
    Real-world insights from policymakers to understand their challenges and best practices.
  2. Policy Process Analysis
    Key elements from existing policies to extract effective strategies for AI governance, as well as policy mapping.
  3. Case Studies
    Examples of successes and lessons learnt from various countries to provide practical guidance.
  4. Recommendations
    Concrete solutions and recommendations from actors in the field to improve the policy development process, including quick tips for implementation and handling challenges.

What distinguishes this initiative is its commitment to peer learning and co-creation. The Africa-Asia AI Policymaker Network comprises over 30 high-level government partners who anchor the Playbook in real-world policy contexts. This ensures that the frameworks are not only theoretically sound but politically and socially implementable…(More)”

Hamburg Declaration on Responsible AI


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)”.

Surveillance pricing: How your data determines what you pay


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)”.

Human rights centered global governance of quantum technologies: advancing information for all


UNESCO Brief: “The integration of quantum technologies into AI systems introduces greater complexity, requiring stronger policy and technical frameworks that uphold human rights protections. Ensuring that these advancements do not widen existing inequalities or cause environmental harm is crucial.

The  Brief  expands  on  the  “Quantum  technologies  and  their  global  impact:  discussion  paper ”published by UNESCO. The objective of this Brief is to unpack the multiple dimensions of the quantum ecosystem and broadly explore the human rights and policy implications of quantum technologies, with some key findings:

  • While quantum technologies promise advancements of human rights in the areas of encryption, privacy, and security,  they also pose risks to these very domains and related ones such as freedom of expression and access to information
  • Quantum  innovations  will  reshape security,  economic  growth,  and  science, but  without  a robust human  rights-based  framework,  they  risk  deepening  inequalities  and  destabilizing global governance.
  • The quantum  divide  is  emerging  as  a  critical  issue,  with  disparities  in  access  to  technology,  expertise, and infrastructure widening global inequalities. Unchecked, this gap could limit the benefits of quantum advancements for all.
  • The quantum gender divide remains stark—79% of quantum companies have no female senior leaders, and only 1 in 54 quantum job applicants are women.

The Issue Brief provides broad recommendations and targeted actions for stakeholders,emphasizing

human  rights-centered  governance,  awareness,  capacity  building,  and  inclusivity  to  bridge global and gender divides. The key recommendations focus on a comprehensive governance model which must  ensure  a  multistakeholder  approach  that  facilitates,  state  duties,  corporate  accountability, effective remedies for human rights violations, and open standards for equitable access. Prioritizing human  rights  in  global  governance  will  ensure  quantum  innovation  serves  all  of  humanity  while safeguarding fundamental freedoms…(More)”.