In #ResearchRadar, @sverhulst.bsky.social and Adam Zable examine how the International Monetary Fund’s StatGPT report reframes data access in the age of AI.

AI is the interface, not source of truth. This is the "Fourth Wave of Open Data."

🔗 rebootdemocracy.ai/blog/researc...

In #ResearchRadar, @sverhulst.bsky.social and Adam Zable examine how the International Monetary Fund’s StatGPT report reframes data access in the age of AI.

AI is the interface, not source of truth. This is the "Fourth Wave of Open Data."

🔗 rebootdemocracy.ai/blog/researc...

In #ResearchRadar, @sverhulst.bsky.social and Adam Zable examine how the International Monetary Fund’s StatGPT report reframes data access in the age of AI.

AI is the interface, not source of truth. This is the "Fourth Wave of Open Data."

🔗 rebootdemocracy.ai/blog/researc...

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 ne...

In today's #ResearchRadar, Neil Kleiman explores how civic AI compacts can connect city governments with campus AI capacity w/ @techanddemocracy.newamerica.org

📖 rebootdemocracy.ai/blog/civic-a...

📰 www.route-fifty.com/artificial-i...

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.

In today's #ResearchRadar, Neil Kleiman explores how civic AI compacts can connect city governments with campus AI capacity w/ @techanddemocracy.newamerica.org

📖 rebootdemocracy.ai/blog/civic-a...

📰 www.route-fifty.com/artificial-i...

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.

In today's #ResearchRadar, Neil Kleiman explores how civic AI compacts can connect city governments with campus AI capacity w/ @techanddemocracy.newamerica.org

📖 rebootdemocracy.ai/blog/civic-a...

📰 www.route-fifty.com/artificial-i...

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, a...

#ResearchRadar: Access to the law shapes whether rights exist in practice.

This piece examines how fragmented NLRB data limits workers' power and how NLRB Research uses AI and open-source tools to make labor law more usable.

Read more: rebootdemocracy.ai/blog/nlrb-da...

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.

#ResearchRadar: Access to the law shapes whether rights exist in practice.

This piece examines how fragmented NLRB data limits worker power, and how NLRB Research uses AI and open-source tools to make labor law usable.

Read more:

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.

#ResearchRadar: Access to the law shapes whether rights exist in practice.

This piece examines how fragmented NLRB data limits worker power, and how NLRB Research uses AI and open-source tools to make labor law usable.

Read more:

Research Radar: How Research Drove a Community-Led Action Plan for LA Wildfire Recovery This Research Radar examines how California’s Office of Data and Innovation used a rigorous, community-driven approach to translate thousands of survivor contributions from the LA wildfires into a concrete recovery action plan. Combining deliberative design, large-scale digital participation, AI-assisted analysis, and human review, the engagement shows how public institutions can listen at scale, synthesize insight with integrity, and move from data to decisions when it matters most.

How can research turn community input into real policy?
This #ResearchRadar shows how CA used deliberation, digital tools & AI to turn wildfire survivor input into a recovery action plan.

📖 rebootdemocracy.ai/blog/researc...

🎥 innovate-us.org/building-a-b...

Research Radar: How Research Drove a Community-Led Action Plan for LA Wildfire Recovery This Research Radar examines how California’s Office of Data and Innovation used a rigorous, community-driven approach to translate thousands of survivor contributions from the LA wildfires into a concrete recovery action plan. Combining deliberative design, large-scale digital participation, AI-assisted analysis, and human review, the engagement shows how public institutions can listen at scale, synthesize insight with integrity, and move from data to decisions when it matters most.

How can research turn community input into real policy?
This #ResearchRadar shows how CA used deliberation, digital tools & AI to turn wildfire survivor input into a recovery action plan.

📖 rebootdemocracy.ai/blog/researc...

🎥 innovate-us.org/building-a-b...

Research Radar: How Research Drove a Community-Led Action Plan for LA Wildfire Recovery This Research Radar examines how California’s Office of Data and Innovation used a rigorous, community-driven approach to translate thousands of survivor contributions from the LA wildfires into a con...

How can research turn community input into real policy?
This #ResearchRadar shows how CA used deliberation, digital tools & AI to turn wildfire survivor input into a recovery action plan.

📖 rebootdemocracy.ai/blog/researc...

🎥 innovate-us.org/building-a-b...

Research Radar: Synthetic Data Is Redefining Representation As governments experiment with AI to simulate public opinion, new questions are emerging about who these systems truly represent. This Research Radar examines the Collective Intelligence Project’s Dig...

New #ResearchRadar: a look at @cip.org Digital Twin Evaluation Framework and what it reveals about the limits of letting AI speak for people.

AI models are starting to act as stand-ins for real communities. But can synthetic publics actually represent us?

rebootdemocracy.ai/blog/researc...

Research Radar: Synthetic Data Is Redefining Representation As governments experiment with AI to simulate public opinion, new questions are emerging about who these systems truly represent. This Research Radar examines the Collective Intelligence Project’s Digital Twin Evaluation Framework—a developing method for testing whether AI models can mirror real human opinion patterns—and explores the democratic risks of relying on synthetic publics in policymaking.

New #ResearchRadar: a look at @cip.org Digital Twin Evaluation Framework and what it reveals about the limits of letting AI speak for people.

AI models are starting to act like stand-ins for real communities. But can synthetic publics actually represent us?

Research Radar: Synthetic Data Is Redefining Representation As governments experiment with AI to simulate public opinion, new questions are emerging about who these systems truly represent. This Research Radar examines the Collective Intelligence Project’s Digital Twin Evaluation Framework—a developing method for testing whether AI models can mirror real human opinion patterns—and explores the democratic risks of relying on synthetic publics in policymaking.

New #ResearchRadar: a look at @cip.org Digital Twin Evaluation Framework and what it reveals about the limits of letting AI speak for people.

AI models are starting to act like stand-ins for real communities. But can synthetic publics actually represent us?

Research Radar: The White House Wants a Scientific Genesis. It May Trigger a Democratic Exodus The Trump Administration’s Genesis Mission aims to unify federal supercomputers, datasets, and AI systems into a single national platform for scientific discovery. But as Beth Simone Noveck argues, th...

A national AI “moonshot” with no public input? My #ResearchRadar analysis asks hard questions about the #GenesisMission and who it really serves.

Full piece → rebootdemocracy.ai/blog/researc...

Research Radar: The White House Wants a Scientific Genesis. It May Trigger a Democratic Exodus The Trump Administration’s Genesis Mission aims to unify federal supercomputers, datasets, and AI systems into a single national platform for scientific discovery. But as Beth Simone Noveck argues, the plan centralizes unprecedented research power while offering almost no role for universities, communities, or the public, raising urgent questions about access, transparency, and democratic accountability.

A national AI “moonshot” with no public input? @bethnoveck.bsky.social latest #ResearchRadar analysis asks hard questions about the #GenesisMission and who it really serves.

Full piece → rebootdemocracy.ai/blog/researc...

Research Radar: The White House Wants a Scientific Genesis. It May Trigger a Democratic Exodus The Trump Administration’s Genesis Mission aims to unify federal supercomputers, datasets, and AI systems into a single national platform for scientific discovery. But as Beth Simone Noveck argues, the plan centralizes unprecedented research power while offering almost no role for universities, communities, or the public, raising urgent questions about access, transparency, and democratic accountability.

A national AI “moonshot” with no public input? @bethnoveck.bsky.social latest #ResearchRadar analysis asks hard questions about the #GenesisMission and who it really serves.

Full piece → rebootdemocracy.ai/blog/researc...

Research Radar: An Economy of AI Agents AI agents are beginning to make market-shaping decisions. Hadfield and Koh’s new study reveals why this shift is significant. Current agents do not reason like economists, do not reflect human prefere...

New in our #ResearchRadar series: today’s AI agents don’t reason the way our markets and regulatory systems assume.

Elana Banin breaks down new research from Hadfield & Koh, and why it matters for democratic governance.

rebootdemocracy.ai/blog/researc...

Research Radar: An Economy of AI Agents AI agents are beginning to make market-shaping decisions. Hadfield and Koh’s new study reveals why this shift is significant. Current agents do not reason like economists, do not reflect human preferences, and do not fit into accountability structures. As governments experiment with agents in benefits, procurement, and infrastructure, Elana Banin reflects on the policy challenge of re-designing the rules before agents erode the market foundations on which democratic governance relies.

New in our #ResearchRadar series: today’s AI agents don’t reason the way our markets and regulatory systems assume.

Elana Banin breaks down new research from Hadfield & Koh, and why it matters for democratic governance.

Research Radar: An Economy of AI Agents AI agents are beginning to make market-shaping decisions. Hadfield and Koh’s new study reveals why this shift is significant. Current agents do not reason like economists, do not reflect human preferences, and do not fit into accountability structures. As governments experiment with agents in benefits, procurement, and infrastructure, Elana Banin reflects on the policy challenge of re-designing the rules before agents erode the market foundations on which democratic governance relies.

New in our #ResearchRadar series: today’s AI agents don’t reason the way our markets and regulatory systems assume.

Elana Banin breaks down new research from Hadfield & Koh, and why it matters for democratic governance.

Research Radar: The Emperor's New Agents - Why AI Won't Fix Broken Government The Agentic State is an ambitious and inspiring blueprint for rebuilding government around AI agents that can act and decide autonomously. It powerfully diagnoses real failures in how the public sector designs, delivers, and manages services. While AI is giving us ways to accelerate change, the prescribed cure may be premature: most of what’s broken in government requires organizational reform, not automation.

The Agentic State is bold and worth reading, but many of the problems it tackles can be solved without automation. Before we turn to agents, we need to fix the systems they’d be automating.

#ResearchRadar by @bethnoveck.bsky.social on #rebootdemocracy:

Research Radar: The Emperor's New Agents - Why AI Won't Fix Broken Government The Agentic State is an ambitious and inspiring blueprint for rebuilding government around AI agents that can act and decide autonomously. It powerfully diagnoses real failures in how the public sector designs, delivers, and manages services. While AI is giving us ways to accelerate change, the prescribed cure may be premature: most of what’s broken in government requires organizational reform, not automation.

The Agentic State is bold and worth reading, but many of the problems it tackles can be solved without automation. Before we turn to agents, we need to fix the systems they’d be automating.

#ResearchRadar by @bethnoveck.bsky.social on #rebootdemocracy:

NYC has 2,800+ public spaces.
But no easy way to find them.

chriswhong.bsky.social built a map
using open data, AI, and “vibe coding.”

Open data isn’t just transparency.
It’s an infrastructure for public good.

buff.ly/ecdFKgv

#ResearchRadar #RebootDemocracy

NYC has 2,800+ public spaces.
But no easy way to find them.

chriswhong.bsky.social built a map
using open data, AI, and “vibe coding.”

Open data isn’t just transparency.
It’s an infrastructure for public good.

rebootdemocracy.ai/blog/vibe-co...

#ResearchRadar #RebootDemocracy

https://rebootdemocracy.ai/blog/silicon-sampling-when-communications-practitioners-should-and-shouldnt-use-ai-in-the-survey-pipeline

New on Reboot Democracy's Research Radar: The AIMES Lab at @northeasternu.bsky.social is pioneering methods in “Silicon Sampling” using AI to simulate public opinion in early-stage survey design.

📖 Read the full piece: rebootdemocracy.ai/blog/silicon...

#ResearchRadar #RebootDemocracy