Conferences and Workshops
21st-Century Statistics at MIT: Inaugural Symposium
46-3002 , United StatesThis symposium provided the MIT community with a forum for discussing some of the challenges and opportunities redefining 21st-century statistics.
LIDS Student Conference
32-141 , United StatesIDSS Workshop on Data, Analytics, and Risk in Finance
MIT Media Lab (E14-648) , United StatesThis workshop focused on opportunities for big data and predictive analytics in finance and economics, including new approaches to modeling, measuring, and understanding risk. Read the summary report (pdf) Watch the videos Check out the reading list Overview Technological advancements have transformed financial markets into increasingly complex and dynamic systems. Organizations including banks, asset management…
MIT Technology & Policy Program (TPP): New Challenges in Technology and Policy
Samberg Conference Center (E52 7th floor) , United StatesThis special anniversary event featured a day of presentations and discussions focused on addressing the next forty years of technology and policy research challenges.
Institute for Data, Systems, and Society Launch
MIT Media Lab (E14-674) , United StatesThis two-day "launch" event celebrated the inaugural year of the Institute for Data, Systems, and Society (IDSS) and set the stage for this new, multi-disciplinary endeavor moving forward. The launch brought together thought leaders from academia, industry, and government to discuss the challenges and opportunities for research at the forefront of society’s greatest challenges.
LIDS Student Conference
32-141 , United StatesThis a student-organized, student-run conference provides an opportunity for graduate students to present their research to peers, as well as to the community at large.
Women in Data Science (WiDS) Conference
Microsoft NERD Center, Cambridge , United StatesThis conference will bring together local academic leaders, industrial professionals, and students to hear about the latest data science-related research in a number of domains; to learn how companies are leveraging data science for success; and to connect with potential mentors, collaborators, and others in the field.