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research dossier

DATA & SOCIETY RESEARCH INSTITUTE INC

NEW YORK, NY · EIN 462904827 · Form 990 · FY2024 · NTEE W99 · Public & Societal Benefit · Medium ($1M-$10M) · datasociety.net
revenue
$6.6M
expenses
$6.7M
net assets
$10.0M
employees
0
volunteers
7
program ratio
69%
mission · from form 990

TO ADVANCE PUBLIC UNDERSTANDING OF THE SOCIAL AND CULTURAL IMPLICATIONS OF DATA-CENTRIC TECHNOLOGIES AND AUTOMATION. THROUGH INTERDISCIPLINARY RESEARCH AND ENGAGEMENT, THE INSTITUTE WORKS TO ENSURE THAT KNOWLEDGE GUIDES DEVELOPMENT AND GOVERNANCE OF TECHNOLOGY.

profile · synthesized from sources

Data & Society Research Institute advances public understanding of the social and cultural implications of data-centric technologies and automation. Through interdisciplinary research, the organization examines how AI and digital systems impact workers, healthcare, communities, and democratic processes. It produces empirical research and toolkits to inform policy, empower communities, and shape equitable technology governance.

named programs · 5 · from sources

What they call their work

AI Civics
National program building a civic coalition to ensure public influence over how AI is designed and deployed in daily life, starting with partnerships in libraries and local government.
AI in Healthcare
Examines the impact of AI systems on patients and healthcare workers, including teletherapy platforms, clinical AI tools like Sepsis Watch, and mental health chatbots, with policy recommendations for accountability.
Algorithmic Impact Methods Lab (AIMLab)
Equips communities and local governments with research tools and frameworks to assess the impact of AI tools, focusing on participatory methods and community engagement in AI decision-making.
Data Center Infrastructure Research
Investigates the environmental, political, and community impacts of AI data centers, with focus on California, Virginia, and Pennsylvania, engaging local communities in industrial policy decisions.
Labor Futures
Research initiative examining AI's impact on workers across sectors, producing empirically grounded analysis on workplace AI, hiring algorithms, and structural inequities in the AI-first economy.
activities · 2 groups

What they do

  • AI Governance and Ethical Research 4 activities
    • Advances policy interventions for technology governance
      Submits policy briefs and develops recommendations to mitigate societal harms from emerging technologies, particularly in AI and mental health, while promoting worker and public empowerment in tech governance.
    • Builds capacity for local government AI governance
      Provides frameworks, turnkey materials, and educational resources to support city IT departments and over 900 government agencies in adopting, evaluating, and engaging communities around AI technologies.
    • Conducts interdisciplinary research on AI and societal impacts
      Produces original social science research on the design, use, and governance of AI systems, with a focus on labor, health, democracy, environmental consequences, and power dynamics. Research is grounded in lived experiences and informs public debate and policy.
    • Develops and disseminates algorithmic impact assessment methodologies
      Creates and publishes practical tools and frameworks for community-based algorithmic impact assessments, including a publicly available toolkit and comparative reports. These resources support local governments and communities in evaluating AI systems.
  • Leadership & Policy Dialogue Forums 1 activity
    • Hosts public events and workshops on technology and society
      Organizes and hosts events, discussions, and workshops that examine the societal implications of data-centric technologies, connect diverse practitioners, and promote public interest approaches to technology governance.
financials · form 990 · fy2024
revenue
Total revenue$6.61M
Contributions & grants$6.53M99%
Program service revenue$00%
Investment income$66K1%
Other revenue$8K
expenses
Total expenses$6.67M
Program expenses69%
Admin / overhead20%
Fundraising11%
Salaries & benefits$5.47M
Grants paid out$0
Largest expense lineCompensation
balance sheet
Total assets$10.15M
Cash$5.08M
Investments$0
Liabilities$102K
Net assets$10.05M
Liquid reserves9.1 mo
6 years on record · 2019–2024 · YoY revenue +12.8%
leadership · form 990 part vii · fy2024

Who runs it

paid leadership · 7
NameTitleHours/wkCompensation
JANET HAVEN EXECUTIVE DIRECTOR 40 $218K
NICOLE LEE COO & CFO 40 $188K
SONA RAI DIRECTOR OF COMMUNICATIONS/MARKETING 40 $182K
ANIA CALDERON MANAGING DIRECTOR, STRATEGY & ENGAGEMENT 40 $171K
AIHA NGUYEN PROGRAM DIRECTOR, LABOR FUTURES 40 $139K
BRIAN CHEN POLICY DIRECTOR 40 $139K
CHARLEY JOHNSON PROGRAM DIRECTOR PUBLIC TECH LEADERSHIP COLLABORAT 40 $137K
board members · 7
  • CATHERINE BRACY — DIRECTOR
  • CHARLTON MCILWAIN — BOARD PRESIDENT
  • CINDY COHN — DIRECTOR
  • ELLEN PAO — BOARD TREASURER
  • MICHELLE MILLER — DIRECTOR
  • RAINA KUMRA — BOARD SECRETARY
  • SURESH VENKATASUBRAMANIAN — DIRECTOR
relationships · 16

Who they work with

  • Alondra Nelson Partner — Network member and Harold F. Linder Professor at Institute for Advanced Study
  • Baratunde Thurston Partner — Network member and executive producer and host of Life With Machines & How to Citizen with Baratunde
  • City of San José Partner — Partnered on the Algorithmic Impact Methods Lab to provide AI frameworks and materials for city IT departments and community engagement.
  • Digital Public Library of America Partner — Partnered to launch the AI Civics program, building a national civic coalition for public influence over AI deployment.
  • Ethan Zuckerman Partner — Network member and director of the Digital Public Infrastructure Initiative at University of Massachusetts Amherst
  • Feeding America Partner — Partner agency distributing food
  • GovAI Coalition Partner — Collaborated to connect with civil servants and scale AI resources and education materials for governments.
  • Meredith Broussard Partner — Network member and professor at New York University
  • Metcalf, Moss, Watkins, Singh & Elish Partner — Co-authored foundational research on algorithmic impact assessments and accountability.
  • Moss, Watkins, Singh, Elish & Metcalf Partner — Co-authored a practical report on assembling accountability in algorithmic impact assessment for the public interest.
  • Public Technology Leadership Collaborative Coalition — Hosts a peer learning community of scholars, practitioners, and government leaders focused on trust-based data governance.
  • danah boyd Partner — Founder of Data & Society Research Institute and network member
  • email protected Partner — Contact point for connecting with research team members.
  • organizaciones e instituciones públicas en Estados Unidos Partner — Collaborates with organizations and public institutions across the United States on AI civics initiatives.
  • organizations across the US Partner — Partners with organizations to build civic strength for the AI era.
  • public institutions across the US Partner — Collaborates with public institutions to build civic strength for the AI era.
strategies · 4

How they approach the work

Named approaches extracted from this org’s sources. Where others share an approach, follow it to see the full set of orgs running it.

  • Cross-Sector Sociotechnical Analysis for Structural Equity
    methodology: sociotechnical_research
    By applying cross-sector sociotechnical research that integrates social and technical analysis, we advance equity because it reveals how technology reproduces structural inequities across labor, race, and geography.
  • Participatory, Relational Accountability in AI Governance
    methodology: relational_accountability
    By conducting algorithmic impact assessments through sustained, participatory dialogue with affected communities, we produce more accountable AI systems because relational, context-sensitive processes prevent superficial compliance and center community agency.
  • Power-Shifting Through Networked Research and Narrative
    methodology: power_shifting
    By integrating research, policy, narrative, and network strategies, we shift power from tech oligarchs to communities because coordinated, cross-sector efforts amplify counternarratives and build collective power for systemic change.
  • Research-Grounded Policy for Public Interest
    methodology: evidence_based_policy
    By grounding technology policy in empirical sociotechnical research, we produce more just and equitable outcomes because it centers real-world impacts, marginalized perspectives, and structural inequities rather than technical assumptions alone.