Developed by 10 MIT faculty members at IDSS, this seven-week course is specially designed for data scientist, business analyst, engineers and technical managers looking to learn the latest theories and strategies to harness data. Offered by MIT xPRO.
The MIT Sports Lab invites you to the MIT Sports Summit 2021, a virtual event hosted on Thursday, Feb. 4th and Friday, Feb. 5th! It is an opportunity for the MIT community to interface with the Sports Lab’s affiliates and partners, sharing advances, challenges, and passions at the intersection of engineering and sports. We are featuring talks from leaders in industry and academia, as well as interactive sessions showcasing student research posters and sports tech startups. This is an invitation-only event for current MIT community…
Join this joint webinar on March 4th to learn more about this blended learning Masters' program offered by UTEC (Universidad Tecnológica del Uruguay) with the academic support of the Institute for Data, Systems, and Society.
For the fifth year in a row, Harvard, MIT, Microsoft Research New England, and Broad Institute are proud to collaborate with Stanford University to bring the Women in Data Science (WiDS) conference to Cambridge, Massachusetts. This virtual, one-day technical conference will feature an all-female line up of speakers from academia and industry to talk about the latest data science-related research in a number of domains, to learn how leading-edge companies are leveraging data science for success, and to connect with potential mentors, collaborators,…
The potential of AI to bring equity in healthcare has spurred significant research efforts across academia, industry and government. Racial, gender and socio-economic disparities have traditionally afflicted healthcare systems in ways that are difficult to detect and quantify. New AI technologies, however, provide a platform for change.
The Paths from Research to Impact workshop brings together a breadth of experts to highlight how data-driven research on COVID-19 has informed policy decisions and impacted the pandemic response on both local and global scales.
In an exclusive live session, Prof. Philippe Rigollet (Mathematics, MIT) will explain how the online 'Data Science and Machine Learning: Making Data-Driven Decisions' program helps real people make real-world, data-informed decisions.
