Thomas W. Malone

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Thomas W. Malone

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Thomas W. Malone is the Patrick J. McGovern (1959) Professor of Management at the MIT Sloan School of Management and the founding director of the MIT Center for Collective Intelligence. At MIT, he is also a Professor of Information Technology and a Professor of Work and Organizational Studies. Previously, he was the founder and director of the MIT Center for Coordination Science and one of the two founding codirectors of the MIT Initiative on Inventing the Organizations of the 21st Century. Malone teaches classes on organizational design, information technology, and leadership, and his research focuses on how new organizations can be designed to take advantage of the possibilities provided by information technology.

Malone predicted in an article published in 1987 many of the major developments in electronic business over the following 25 years, including electronic buying and selling for many kinds of products. In 2004, Malone summarized two decades of his research in his critically acclaimed book, The Future of Work. His newest book, Superminds, appeared in May 2018. Malone has also published over 100 articles, research papers, and book chapters. He is the coeditor of four books.

Malone has been a cofounder of four software companies and has consulted and served as a board member for a number of other organizations. He is also an inventor with 11 patents.

His background includes work as a research scientist at Xerox Palo Alto Research Center (PARC), a PhD from Stanford University, an honorary doctorate from the University of Zurich, and degrees in applied mathematics, engineering, and psychology.

 

Honors

Malone named as Honorary Fellow of Argentinian Engineers Center

Publications

"Supermind Design for Responding to Covid-19: A Case Study of University Students Generating Innovative Ideas for a Societal Problem."

Koppineni, Akhilesh, David Sun Kong, and Thomas W. Malone, MIT Sloan Working Paper 6569-22. Cambridge, MA: MIT Sloan School of Management, February 2022.

"The Collective Intelligence of Remote Teams."

Riedl, Christoph, Thomas W. Malone, and Anita W. Woolley. MIT Sloan Management Review, October 21, 2021.

"Quantifying Collective Intelligence in Human Groups."

Riedl, Christoph, Young Ji Kim, Pranav Gupta, Thomas W. Malone, and Anita Williams Woolley. Proceedings of the National Academy of Sciences Vol. 118, No. 21 (2021): e20057371.

"​Online Mingling: Supporting Ad Hoc, Private Conversations at Virtual Conferences."

Jaeyoon Song, Christoph Riedl, and Thomas W. Malone. In Proceedings of the 2021 Computer-Human Interaction Conference, Yokohama, Japan: May 2021. Download Paper.

"Creating a Digital Work Projects Administration."

Lippel, Philip, Hirotaka Miura, Yara Komaiha, and Thomas W. Malone. Federation of American Scientists' Day One Project, Working Paper. January 2021.

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Press

MIT CCI’s Climate CoLab migrates to Wazoku’s InnoCentive

The MIT CCI today announced that its Climate CoLab—a global platform that crowdsources new ideas to address climate change—has spun out and migrated to Wazoku’s global Challenge Community InnoCentive.

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Ideas Made to Matter

Why ‘the future of AI is the future of work’

In a new book about how technology will affect workers, MIT experts explain how AI is far from replacing humans — but still changing occupations.

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Events

Executive Education

Executive Education Course

Artificial Intelligence

This online program from the MIT Sloan School of Management and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) challenges common misconceptions surrounding AI and will equip and encourage you to embrace AI as part of a transformative toolkit. With a focus on the organizational and managerial implications of these technologies, rather than on their technical aspects, you’ll leave this course armed with the knowledge and confidence you need to pioneer its successful integration in business.

  • Oct 26-Dec 13, 2022
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Executive Education Course

Machine Learning in Business

Machine learning, a branch of artificial intelligence, is the science of programming computers to improve their performance by learning from data. Dramatic progress has been made in the last decade, driving machine learning into the spotlight of conversations surrounding disruptive technology. This six-week online program from the MIT Sloan School of Management and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) aims to demystify machine learning for the business professional – offering you a firm, foundational understanding of the advantages, limitations, and scope of machine learning from a management perspective.

  • Oct 26-Dec 13, 2022
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