MIT Center for Collective Intelligence

What MIT Center for Collective Intelligence does

The MIT Center for Collective Intelligence (CCI) is a non-profit academic research center founded in 2006 within the MIT Sloan School of Management, headquartered at 245 First Street, E94, Cambridge, Massachusetts. The center investigates how people and computers can be connected so that — collectively — they act more intelligently than any person, group, or computer has ever done before. CCI's work spans identifying a general collective intelligence factor ('c factor') in groups, the Genome of Collective Intelligence project cataloging design patterns for hybrid human-machine systems, and combining human and machine intelligence via prediction markets. The center is led by founding director Thomas W. Malone, the Patrick J. McGovern (1959) Professor of Management at MIT Sloan.

CCI's core outputs are research methodologies, software tools, publications, and collaborative engagements rather than commercial products. The flagship methodology is Supermind Design, a seven-step approach to designing innovative systems that combine people and computers, operationalized through the Collective Intelligence Design Lab (CIDL), which delivers workshops and consulting-style engagements with sponsoring organizations. Software artifacts include Minglr (an experimental ad hoc videoconferencing tool), DesignAID (a generative AI tool built with Toyota Research Institute that converts text prompts into images), and the Supermind Ideator (a generative-AI system that scaffolds human-AI collaboration for creative work). The center has also operated the Climate CoLab crowdsourcing platform and produced the Handbook of Collective Intelligence (MIT Press, 2015) and the book Superminds (Little Brown, 2018).

CCI does not sell commercial products or services; pricing is not applicable. The center's funding flows from MIT institutional resources, research grants, and corporate sponsorships, with flagship corporate sponsors including Takeda (CCI-Takeda Supermind program addressing healthcare challenges including a Covid-19 initiative) and Deloitte (CCI-Deloitte Supermind program), as well as Toyota Research Institute and Rabobank. The organization serves organizations with complex challenges — companies, governments, and non-profits seeking to harness collective intelligence — and reaches a broader audience through peer-reviewed publications, keynote appearances (World Economic Forum, Library of Congress, Davos), and earned media in major outlets. Operations are global in distribution of research outputs, though physically anchored in Cambridge, MA.

Name

MIT Center for Collective Intelligence

Legal name

MIT Center for Collective Intelligence

Website

https://cci.mit.edu

Company type

Private

Founded year

2006

Operating status

Operating

Headcount range

11–50 employees

Short description

MIT Center for Collective Intelligence is a non-profit academic research center founded in 2006 investigating how people and computers can be connected to act more intelligently together. It serves sponsoring organizations and the broader research community through the Supermind Design methodology, the Collective Intelligence Design Lab, and peer-reviewed publications.

Ownership category

akta.pro rank

Product category

Academic Research and Consulting

NAICS

Computer Systems Design and Related Services (54151)

SIC

Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

Comprehensive Doctoral Research Universities (Multi-Disciplinary) (EDAHABAA)

akta.pro secondary industries

Whiteboarding & Visual Collaboration (BPAMAMAI), Collaboration & Teamwork (EDABAMAC)

Keywords

• Collective intelligence research
• Human-AI collaboration
• Supermind design methodology
• Crowdsourcing platforms
• Generative AI research

Headquarters

HQ city

Cambridge

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Operations, Technology or R&D, Infrastructure, Marketing or Sales

Distribution channels3 records

Marketing channels5 records

Core offering

The MIT Center for Collective Intelligence is an academic research center that studies how people and computers can be connected to act more intelligently together. It produces research publications, methodologies (notably Supermind Design), experimental software systems (Minglr, Supermind Ideator, DesignAID), and a crowdsourcing platform (Climate CoLab), and delivers collaborative research engagements through the Collective Intelligence Design Lab for sponsoring organizations.

Product overview

The MIT Center for Collective Intelligence operates as a research center focused on understanding and designing systems where people and computers work together intelligently. The center offers a portfolio of research methodologies (Supermind Design), software tools (Minglr, Supermind Ideator), platforms (Climate CoLab), and publications (Superminds book, Handbook of Collective Intelligence). Key offerings include the Supermind Design framework for creating innovative organizational configurations, the Collective Intelligence Design Lab (CIDL) for consulting engagements, and ongoing research into measuring collective intelligence factors, combining human and machine predictions, and generative AI tools for creative collaboration. The center functions as an academic research organization rather than a commercial product company, with its primary outputs being research publications, methodologies, and experimental software systems.

Differentiator

Problem solved

Functional benefit

Products and services

• Supermind Design A systematic methodology for designing superminds — collectively intelligent systems combining people and computers — to solve important problems through innovative configurations of human and machine intelligence. Used by sponsoring organizations participating in Supermind Design workshops and CIDL engagements.
• Collective Intelligence Design Lab (CIDL) MIT lab helping groups design innovative new kinds of collectively intelligent systems (superminds) to solve important problems, leveraging multidisciplinary MIT research and faculty expertise. Offered as a consulting and co-design engagement to sponsoring organizations, governments, and non-profits.
• Minglr An experimental software system supporting ad hoc, private videoconferences to enable impromptu conversations similar to in-person water-cooler interactions at virtual events. Built as a research artifact by CCI researchers.
• Supermind Ideator A generative AI tool that scaffolds human-AI collaboration to increase creativity, developed by CCI researchers for creative problem-solving tasks. Released as an experimental research tool accompanied by publications.
• Climate CoLab An online crowdsourcing platform enabling large-scale collaborative planning to address climate change, allowing broad participation in collective problem solving and engaging millions of users in proposing climate solutions.
• Combining Human and Machine Intelligence for Making Predictions A research project using prediction markets and hybrid methods to combine predictions from groups of people and AI agents, empirically showing combined predictions are more accurate and robust than those from only people or only machines.
• Measuring Collective Intelligence Research initiative establishing converging evidence of a general collective intelligence factor (c factor) that explains group performance and is correlated with social sensitivity, conversational equality, and proportion of females in groups.
• Genome of Collective Intelligence A research initiative categorizing and analyzing new crowd-based ways of organizing work, identifying design patterns (genes) that can be combined to create systems harnessing collective intelligence.
• Superminds (Book) Trade book authored by founding director Thomas W. Malone exploring the intelligence exhibited by groups of people and computers working together, published by Little Brown and Company in May 2018.

Quantifiable outcome

• Research on collective intelligence factor ('c factor') published in Science magazine (2010), widely cited and featured in over 30 media publications worldwide
• +2 more outcomes

Segments2 records

Ideal customer profiles2 records

Technology focussed No

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability7 records

Feature5 records

Partnerships

Four partnerships are on record, tiered flagship, core and minor.

• TakedaflagshipStrategic or Co-development PartnerCCI-Takeda Supermind program focused on applying Supermind Design methodology to address healthcare challenges, including a specific Covid-19 response initiative. This represents a major corporate collaboration applying CCI's research methodology to real-world pharmaceutical and healthcare problems.
• DeloitteflagshipStrategic or Co-development PartnerCCI-Deloitte Supermind program applying Supermind Design methodology to professional services challenges. This partnership brings together academic research with consulting industry expertise to develop and test collective intelligence approaches.
• Toyota Research InstitutecoreStrategic or Co-development PartnerCCI researchers worked with Toyota Research Institute to build DesignAID, a generative AI tool that helps designers by using generative AI to quickly create images based on text prompts, supporting creative workers.
• RabobankminorStrategic or Co-development PartnerRabobank-MIT Food and Agribusiness Innovation Prize, a collaboration recognizing prize-winning projects promoting healthier eating and smarter crop investment.

Recent moves6 records

Expansion highlights4 records

Direct peers

• MIT Media Lab: Sibling research lab at MIT focused on technology, design, and human-computer interaction. Highly comparable: both operate as MIT-affiliated interdisciplinary research labs developing novel human-machine systems, often collaborating on projects and sharing students, faculty, and sponsor networks.
• Berkman Klein Center for Internet & Society (Harvard): Harvard-based research center studying the intersection of technology, society, and governance. Comparable as an Ivy League academic research center publishing influential work on collective digital systems and convening researchers across disciplines.
• Stanford Institute for Human-Centered Artificial Intelligence (HAI): Stanford-led research institute studying the design and societal implications of AI. Comparable as a top-tier academic research center focused on human-centered AI research, publishing widely, engaging corporate sponsors, and producing frameworks that shape enterprise adoption.
• Carnegie Mellon Human-Computer Interaction Institute (HCII): CMU's interdisciplinary research institute for human-centered computing. Comparable as an academic research center producing foundational research on how humans and computational systems work together, with overlapping faculty collaborations referenced in CCI's community network.
• MIT CSAIL: MIT's Computer Science and Artificial Intelligence Laboratory. Comparable as a peer MIT research center conducting foundational AI and systems research, with overlapping faculty, students, and research areas in human-AI collaboration and computational intelligence.
• Santa Fe Institute: Independent research institute studying complex systems and collective behavior. Comparable as a multidisciplinary research organization publishing seminal work on how groups and systems exhibit intelligence, with overlapping themes around emergence and collective intelligence.

Emerging players

• Institute for the Future (IFTF): Independent foresight organization researching how emerging technologies reshape organizations and society. Comparable as a non-academic research organization producing frameworks and methodologies for designing future collective systems, with overlapping consulting-style engagements.

Regional players

• Oxford Internet Institute: Oxford-based research department studying digital technology and society. Comparable as a leading academic research center studying collective digital behavior and human-computer ecosystems, but operates primarily in the UK/European research ecosystem.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights6 records

Customer concentration

• Xx.com/SupermindsMIT

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Subsidiaries1 record

Funding overview

Funding rounds

Investors

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M&A

Investments

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Frequently asked questions about MIT Center for Collective Intelligence