Building trust in science through conversation and empathy
Conference at MIT brings together scientific experts and communicators to discuss the path toward a more informed, science-supportive public.
Conference at MIT brings together scientific experts and communicators to discuss the path toward a more informed, science-supportive public.
Felice Frankel discusses the implications of generative AI when communicating science visually.
A first history of the document security technology, co-authored by MIT Libraries’ Jana Dambrogio, provides new tools for interdisciplinary research.
Engineers developed a planning tool that can help independent entities decide when they should invest in joint projects.
MIT researchers developed a fiber computer and networked several of them into a garment that learns to identify physical activities.
In a new MIT course co-taught by EECS and philosophy professors, students tackle moral dilemmas of the digital age.
The consortium will bring researchers and industry together to focus on impact.
MIT study finds a diversified portfolio of carbon dioxide removal options delivers the best return on investment.
With seven new startups, MIT.nano's program for hard-tech ventures expands to more than 20 companies.
Providing electricity to power-hungry data centers is stressing grids, raising prices for consumers, and slowing the transition to clean energy.
Assistant Professor Manish Raghavan wants computational techniques to help solve societal problems.
As the use of generative AI continues to grow, Lincoln Laboratory's Vijay Gadepally describes what researchers and consumers can do to help mitigate its environmental impact.
MIT engineers designed a nanofiltration process that could make aluminum production more efficient while reducing hazardous waste.
Longtime MIT faculty member, award-winning author, and HASTS program co-founder was an expert in the influence of social context on science, and the organization of science in Russia and the Soviet Union.
The neuroscientist turned entrepreneur will focus on advancing the intersection of behavioral science and AI across MIT.