irs program accomplishments · form 990 part iii · fy2020
What they reported doing
- #1 primary $0PROVIDING DATA TO CUSTOMERS
named programs · 7 · from sources
What they call their work
Beta Catchers
Citizen science project for Alzheimer’s research that involves identifying disease-related pathology in microscopic images of human brain tissue, developed with the Dugger Lab at UC Davis.
Civium
Integration platform concept for sustainable human computation that connects stakeholders, tasks, and outcomes across participatory systems.
Crowd2Map Tanzania
Crowdsourced mapping initiative to improve OpenStreetMap coverage in rural Tanzania, supporting development and community safety.
CrowdMeter
App and research effort exploring how shared crowd signals can inform public health decisions and individual choices about crowded places.
Dream Catchers
Online game using crowdsourcing to advance Sudden Infant Death Syndrome (SIDS) research while promoting awareness of safe sleep guidelines.
Polymath Plus
Platform enabling collaborative mathematical discovery using AI-assisted, graph-based representations of proofs, building on the original Polymath Project.
Stall Catchers
Citizen science game that crowdsources analysis of blood vessel movies to accelerate Alzheimer's research in collaboration with Cornell's Schaffer-Nishimura Lab.
activities · 4 groups
What they do
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Biomedical Research and Innovation 1 activity
- Implement participatory citizen science projects for medical researchRuns multiple citizen science initiatives—such as Stall Catchers, Beta Catchers, and Dream Catchers—that engage the public in analyzing biomedical data to accelerate Alzheimer's and SIDS research, often in collaboration with academic laboratories.
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Academic Journal and Scholarly Publication 1 activity
- Publish interdisciplinary research on human computationProduces scholarly publications including the journal Human Computation, edited volumes, and books that explore foundational and applied aspects of human-machine collaboration across disciplines such as crisis response, scientific research, and digital curation.
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Professional Field Knowledge Development 1 activity
- Share knowledge and community updates in human computationOrganizes and disseminates talks, seminars, newsletters, and event highlights to foster knowledge exchange and community engagement in the field of human computation.
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Uncategorized 4 activities
- Conduct research on crowd-informed decision-making for public healthUses the CrowdMeter app to study how shared crowd signals can influence individual decisions about crowding and public health risks, exploring behavioral dynamics in real-world settings.
- Develop and advance human computation systems for societal challengesDesigns and researches human computation systems that integrate networked people and machines to address complex problems in health, education, and humanitarian contexts. This includes developing novel methods and platforms to enable large-scale collaborative problem-solving.
- Strengthen open mapping and community development via crowdsourcingSupports improved OpenStreetMap coverage in rural Tanzania through the Crowd2Map Tanzania initiative, contributing to local development, safety, and gender equity by enabling community-led mapping efforts.
- Support collaborative mathematical discovery through digital platformsDevelops and operates Polymath Plus, an AI-assisted, interactive platform that enables collaborative work on mathematical proofs and research, supporting online cooperation between mathematicians and the public.
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financials · form 990 · fy2024
revenue
Total revenue$175K
Contributions & grants$175K100%
Program service revenue$00%
Investment income$10%
Other revenue$0
expenses
Total expenses$141K
Program expenses95%
Admin / overhead4%
Fundraising1%
Salaries & benefits$52K
Grants paid out$0
Largest expense lineProfessional Fees
balance sheet
Total assets$44K
Cash$44K
Investments$0
Liabilities$0
Net assets$44K
Liquid reserves3.7 mo
5 years on record · 2020–2024 · YoY revenue -29.3%
leadership · form 990 part vii · fy2024
Who runs it
paid leadership · 1
| Name | Title | Hours/wk | Compensation |
|---|---|---|---|
| PIETRO MICHELUCCI | EXEC DIRECTOR | 40 | $48K |
board members · 2
- DARLENE CAVALIER — BOARD OF DIRECTORS
- JANIS DICKINSON — BOARD OF DIRECTORS
relationships · 8
Who they work with
- Doug Engelbart Institute Partner — Advisory collaboration on ongoing activities related to augmenting human collaboration.
- Dugger Lab Partner — Collaborates with HCI on the development of Beta Catchers for Alzheimer’s pathology identification in brain tissue images.
- Dugger Lab at University of California, Davis Partner — Collaborated with Human Computation Institute to develop the Beta Catchers citizen science project for Alzheimer's research.
- Mary Catherine Bateson Partner — Contributed a foreword to the Human Computation Institute's 2013 book on human computation.
- Renaissance Philanthropy Funder — Provides support for the development of the Polymath Plus platform for collaborative mathematical discovery.
- Renaissance Philanthropy Funder — Supports the development of the Polymath Plus project.
- Schaffer-Nishimura Lab Partner — Collaborates with HCI on the Stall Catchers project to accelerate Alzheimer's research through citizen science.
- Technology.org Partner — Published an article about the first issue of the Human Computation journal.
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.
- AI-Augmented Collaborative Discoverymethodology: AI-augmented_collaborative_discoveryBy combining AI-assisted visual tools with collective human reasoning, we enhance problem-solving in complex domains like mathematics because AI improves coordination and comprehension across distributed contributors, enabling scalable and structured discovery.
- Citizen Science Through Gamified Participationmethodology: citizen_science_gamingBy transforming scientific data analysis into gamified tasks, we accelerate biomedical research because game mechanics increase public engagement, sustain participation, and harness distributed human computation to process large datasets more efficiently than traditional methods.
- Human-Machine Collaboration for Societal Problem-Solvingmethodology: human-machine_collaborationBy integrating human intelligence with computational systems, we improve societal outcomes in health, education, and science because the combined system leverages the strengths of both humans and machines — human pattern recognition, creativity, and judgment alongside machine speed, scalability, and data processing.
- Sustainable Human Computation Ecosystemsmethodology: sustainable_human_computationBy aligning stakeholders, tasks, and outcomes within participatory systems, we create sustainable human computation models because integration ensures long-term engagement, task relevance, and meaningful impact for participants and researchers alike.