Events 

MIT Course: Supermind Design for Responding to Covid-19

In 2020, CCI faculty director Thomas W. Malone and David Sun Kong of the MIT Media Lab co-taught a course on how Supermind Design methodology—an approach for generating innovative ideas about how to organize groups of people and machines)—might by applied to address Covid-19. Learn more

Catalyst Conversation Series

This series of virtual events broadened the conversation around individual technical challenge areas identified in the Life Sciences Supermind Activation. During each session, thought leaders from across the scientific community took an in-depth look at the current state of affairs in the relevant topic area, shared data-driven insights, and discussed the latest innovations and proposed solutions to some of today’s toughest challenges in pandemic response. Each session included live audience Q&A.

2020 conversations:

Mask Innovations for Virus Transmission Control

Harnessing Data, Diligence and Collective Intelligence

Innovations in Diagnostics and Detection on the Road to Re-densification

Vaccines and Therapies and the Need for Speed

Validating and Sharing Scientific Information

Lessons Learned on the Road to Pandemic Preparedness

2021 conversations

Catalyst Conversations: Breakdowns to Breakthroughs

Catalyst Conversations: Hypotheses and Hashtags

Catalyst Conversations: Public Health, Reinvented

Catalyst Conversations: Rapid Research & Disruptive Development

Catalyst Conversations: Reimagining the Global Health Ecosystem in a Post-COVID World

MIT Sloan Executive Education courses taught by Professor Thomas W. Malone 

Artificial Intelligence: Implications for Business Strategy, Focusing on key AI technologies, such as machine learning, natural language processing, and robotics, this course will help you understand the implications of these new technologies for business strategy, as well as the economic and societal issues they raise, course offered 6 – 8 times per year

Machine Learning in Business, In this online short course, you’ll be guided to discover the business potential of machine learning, while developing strategies for effective implementation, course offered 4 – 6 times per year