Recurring Series

Research Radar

Showing 15 of 35 results in series "Research Radar"

Research Radar

How we used AI to lift the voices of California state employees

Using AI to analyze over 2,400 employee comments, California’s Engaged California team found that the challenge wasn’t the scale of the data, but making sense of complex, layered input without oversimplifying it. Their experience shows why human judgment remains essential, from building taxonomies to catching errors, as results can shift significantly depending on how AI is applied and what people choose to trust and prioritize.

Published on Apr 21, 2026 by Summer Mothwood

Research Radar

The New Human Resilience Challenges Posed by AI

In “Building a Human Resilience Infrastructure for the AI Age,” based on insights from 386 global experts, a warning emerges: the greatest risk is not a single catastrophic event, but a slow drift toward diminished human agency, fragmented reality, and growing dependence on automated systems. Lee Raine and Janna Anderson reflect on how, as AI becomes society’s invisible operating system, individual resilience is no longer enough. The report argues for urgent, coordinated action to build resilience as shared infrastructure across governments, institutions, and communities to ensure people can still question, contest, and shape the systems increasingly shaping them.

Published on Apr 13, 2026 by Lee Rainie and Janna Anderson

Research Radar

Research Radar: StatGPT and the Fourth Wave of Open Data

Stefaan Verhulst and Adam Zable argue that the biggest challenge in open data is no longer access, but usability, as official statistics remain difficult to find, interpret, and apply. Drawing on the International Monetary Fund’s StatGPT new research, it shows how artificial intelligence could transform access through natural language interfaces, while warning that accuracy and trust depend on retrieving authoritative data rather than generating answers. The article situates this shift within a broader “Fourth Wave of Open Data,” calling for new data systems and governance approaches that make information truly usable and reliable.

Published on Apr 7, 2026 by Dr. Stefaan Verhulst and Adam Zable

Research Radar

The Next Frontier: AI, Equity, and the Future of Public Benefits

Millions of Americans miss out on health and food assistance benefits due to fragmented systems and complex enrollment processes. This piece explores how Link Health, in partnership with the AI for Impact program, is combining AI tools with human navigators to rethink how public benefits are delivered in healthcare settings. It argues that the next frontier is better evidence. States should fund research to compare enrollment approaches, portal design, and navigator support to determine which improve health outcomes and guide smarter public investment.

Published on Mar 31, 2026 by Timothy Scheinert, Austin Tsai, Ar’Sheill Monsanto and Alister Martin

Research Radar

The Case for Civic AI Compacts with Higher Education

Cities often treat nearby universities as occasional partners rather than strategic collaborators. But as artificial intelligence reshapes local economies and public services, that relationship may need to change. Drawing on a new policy brief, The AI Lab Next Door, Neil Kleiman argues that city–university “compacts” can transform transactional ties into intentional partnerships, helping communities harness the growing AI capacity already taking shape on college campuses.

Published on Mar 17, 2026 by Neil Kleiman

Research Radar

What We Learned from 50 Experts About Designing Democratic Engagement in the AI Era

More than 50 practitioners, researchers, and civic technologists from 24 countries reviewed the draft curriculum for Designing Democratic Engagement for the AI Era, providing over 300 comments and suggestions. The feedback highlighted the need for clearer guidance on institutional readiness, trust, inclusion, and the risks and limits of AI in public participation. This post summarizes the key themes that emerged, explains how AI tools were used to synthesize the feedback, and outlines the next steps in developing the course.

Published on Mar 17, 2026 by Dane Gambrell

Research Radar

Assembly Required: A Conversation with Lorelei Kelly on Deliberative Technology and Congressional Reform

In this conversation with Elana Banin, Lorelei Kelly argues that rebuilding democratic resilience requires redesigning the institutional infrastructure connecting citizens to Congress. Drawing on constitutional history and emerging technologies, she explores how deliberative technology and AI could help revive the First Amendment’s promises of assembly and petition for the digital age.

Published on Mar 10, 2026 by Elana Banin

Research Radar

Research Radar: Academics Are Sounding the Alarm on AI Adoption. Who's Listening?

A new paper urges universities to resist the uncritical adoption of AI, arguing that existing research integrity standards already prohibit much of what institutions are normalizing. Beth Simone Noveck's diagnosis is sharp: vendor dependency, opacity, and hype are reshaping public institutions from the inside. But for governments, refusal isn’t an option. The real question is not whether to adopt AI, but who controls it and on what terms.

Published on Feb 24, 2026 by Beth Simone Noveck

Research Radar

Evaluating AI Safety Through Local Policy: Findings from the UbuntuGuard benchmark

A new paper introducing the UbuntuGuard benchmark questions whether strong results on English-language safety tests consistently translate into responsible use. Built from policies developed by 155 African domain experts across ten languages and six countries, UbuntuGuard's framework assesses whether AI tools comply with the norms that shape services in non-Western contexts. The findings suggest that institutions, wherever they operate, need the capacity to define their own standards before using these tools to improve public-sector outcomes.

Published on Feb 17, 2026 by Elana Banin

Research Radar

How We Co-Designed an AI-Powered Tool for IEPs with Families in San Francisco

As the AIEP project concludes its first pilot in San Francisco, it offers more than a new AI tool for navigating IEPs. It shows what becomes possible when families, educators, designers, and researchers co-design technology from the ground up. Through a free, open-source tool, a civic AI learning course, a community-centered playbook, and academic research, this work demonstrates a practical model for public-purpose AI rooted in lived experience, shared learning, and accountability. What began as support for parents has grown into a blueprint for building AI with communities, not just for them.

Published on Feb 10, 2026 by Sofía Bosch Gómez, Joanna French and Belén Farmer Martinez

Research Radar

Research Radar: “Unboxing the Prompt”: How Community Feedback (and AI) Helped Us Build Better AI Together

Families are expected to advocate for their children using IEP documents that are dense, technical, and often inaccessible. Instead of treating AI as a black box that produces generic summaries, this project takes a different approach of "unboxing the prompt" and inviting parents into the system's core logic. This post traces how community feedback reshaped the tool at every stage, from moving beyond one-size-fits-all summaries to extracting legally meaningful details, to designing for privacy, to preserving meaning across languages, and to foregrounding student strengths.

Published on Feb 3, 2026 by Dhruv Kamlesh Kumar

Research Radar

Launching the Observatory of Public Sector AI: An Invitation to Build the Evidence Base Together

The Observatory of Public Sector AI is a new research initiative of InnovateUS and The GovLab. The Observatory draws on anonymized data from more than 150,000 public servants nationwide. By analyzing how public employees learn, use, and adapt AI at work, the Observatory aims to identify which investments in skills and training strengthen government capacity, improve services, and deliver better outcomes for residents.

Published on Jan 26, 2026 by Beth Simone Noveck, Anirudh Dinesh, Gregory Porumbescu, Allison Wan and Amanda Welsh

Research Radar

The NLRB Has a Data Problem. One Lawyer Is Using AI to Fix It.

U.S. labor law is shaped by thousands of decisions issued each year by the National Labor Relations Board (NLRB) and the courts, yet much of this precedent remains difficult for workers, organizers, and even lawyers to access in practice. This piece examines how the NLRB’s fragmented document publication system creates real information barriers for workers and their advocates. A new tool, NLRB Research, uses open-source software and AI to make labor law searchable and and usable, demonstrating how improving access to public legal information can help empower workers to understand and act on their rights.

Published on Jan 13, 2026 by Dane Gambrell

Research Radar

Research Radar: The City as Mesh and New Ways of Organizing for Effective Problem Solving

The City as Mesh by Geoff Mulgan and Caio Werneck offers a powerful new framework for organizing cities to tackle cross-cutting challenges. This Research Radar examines their new paper and argues for going further: using AI as a coordination layer, treating skills as design choices, and leveraging public engagement as operational intelligence.

Published on Jan 6, 2026 by Beth Simone Noveck

Research Radar

Public AI: Policies for democratic and sustainable AI infrastructures

This analysis by OECD.AI contributors offers a clear, practical blueprint for “public AI.” It maps where power concentrates across the AI tech stack, such as compute, data, and models, and shows how governments can intervene without trying to outspend frontier labs. Its distinctive contribution is a gradient approach that makes AI more public through democratic control, public-interest functions, and open components, paired with three concrete pathways to reduce dependence on corporate oversight and build meaningful public alternatives.

Published on Dec 16, 2025 by Alek Tarkowski, Albert Cañigueral, Felix Sieker and Luca Cominassi