Prof. Thomas W Malone

Patrick J McGovern (1959) Professor of Management
Founding Director, Center for Collective Intelligence (CCI)

Primary DLC

MIT Sloan School of Management

MIT Room: E62-424

Assistant

Liz McFall
mcfall@mit.edu

Areas of Interest and Expertise

Business Ethics
Business Process Modeling
Blogs
Computers
Employee Motivation
Employment Relations
Extranets
File Sharing
Future of Work
Information Technology (Artificial Intelligence, Component Software Technologies, Computer Privacy, Convergence, Digitalization, dot-com, eBusiness, E-Commerce, E-Mail, Enterprise Information Systems, High Technology, Information Systems, History of Information Technology)
Internet Software/Applications
Internet-Governance Strategy
Knowledge Sharing
Web
Groupware
Information Technology for Management
Open Source Software
Software Agents
Innovation
Knowledge Management
Leadership
Managerial Communication
Organizational Studies (Changing Work Environments, Industiral Organization, Networking-Personal, Business, Organizational Communication, Organization Design and Performance)
Socially Responsible Business
Telecommuting
Working Virtually
Wikipedia
Work/Life Balance

Recent Work

  • Video

    5.4.21-Work-Future-Roundtable

    May 4, 2021Conference Video Duration: 121:53
    Thomas Malone
    Patrick J McGovern (1959) Professor of Management
    Founding Director, Center for Collective Intelligence (CCI)
    MIT Sloan School of Management
    Lionel Kimerling
    Thomas Lord Professor of Materials Science and Engineering 
    Director, Microphotonics Center
    MIT Department of Materials Science and Engineering
    William B. Bonvillian
    Lecturer, Science Technology and Society and Political Science Departments
    Deb Phillips
    President, WFD Consulting
    Benjamin A. Langis
    Senior Vice President
    Head of the Workplace of the Future, State Street

    2020 COVID-19, Future of Work -Thomas Malone

    May 5, 2020Conference Video Duration: 64:47

    2020 COVID-19, Future of Work

    This presentation will discuss how the COVID-19 pandemic will be like a bullet train to the future, dramatically accelerating many trends involving digital communication that were already underway and that will never return to the way they were before the pandemic. Examples discussed will include the kinds of jobs people will do, how and where they will work, how this will affect real estate, how people will shop and socialize, and how they will learn. The presentation will also suggest how new kinds of online work can help solve some of the near-term problems the pandemic creates.

     

    Madrid 2018 - Thomas Malone

    November 29, 2018Conference Video Duration: 43:41

    Superminds: The Surprising Power of People and Computers Thinking Together

    Throughout human history, progress has almost never been made by individuals acting alone, but rather by the power of groups. Thomas Malone calls these groups “superminds” – entities like hierarchies, communities, markets, and democracies that can accomplish far more by drawing upon their collective abilities to create, learn, and make decisions together. In this talk based on his recent book, Superminds, Malone uses striking examples and case studies to show how computers can help create much more intelligent superminds, not just with artificial intelligence, but perhaps even more importantly with hyper-connectivity: connecting people to one another at massive scales and in rich, new ways.

    2018 MIT Madrid Symposium

    Thomas Malone

    November 14, 2016MIT Faculty Feature Duration: 24:13

    Patrick J McGovern (1959) Professor of Management, Founding Director, Center for Collective Intelligence (CCI)

    Thomas Malone - 2016-ICT-Conference

    April 27, 2016Conference Video Duration: 41:19

    How will work change? Organizations will become more intelligent

    This talk will begin by looking at predictions from the past about the future of work. Then it will focus on a promising new way to predict how work will be organized in the future: by thinking about how to create more intelligent organizations. Examples to be described include: studies of why some groups are smarter than others, studies of how people and machines together can do better than either alone, and ways to harness the collective intelligence of thousands of people to solve complex problems like climate change.

    2016 MIT Information and Communication Technologies Conference