A data-driven response to a pandemic
Isolat, a volunteer collaboration organized by the Institute for Data, Systems, and Society, informs coronavirus policy by analyzing data associated with the pandemic.
Isolat, a volunteer collaboration organized by the Institute for Data, Systems, and Society, informs coronavirus policy by analyzing data associated with the pandemic.
Report catalogs, analyzes available open-source publishing software; warns open publishing must grapple with siloed development and community-owned ecosystems.
Open access journal to promote the latest research, educational resources, and commentary from leading minds in data science.
Third annual MIT Statistics and Data Science conference gathers a growing interdisciplinary community of researchers and practitioners.
In STS.047 (Quantifying People), MIT students explore the history of science from the 17th century to the present, through the eyes of statisticians and sociologists.
Researchers find most fantasy sports are based on skill, not luck.
Laboratory for Information and Decision Systems alumnus and CSAIL lecturer Jehangir Amjad uses statistical methods to predict likely outcomes with limited data.
MIT Statistics and Data Science Conference highlights new approaches and varied applications.
Interdisciplinary doctoral program in statistics and online MicroMasters program in statistics and data science begin this fall.
New book by MIT assistant professor chronicles the birth of statistical arguments in public debate.
SDSCon 2017 gathers community and showcases research projects that apply data science to major systems and issues.
Rising Stars workshop helps female electrical engineers and computer scientists build a professional network, find jobs in academia.
Anna Mikusheva refines the tools of time-series econometrics to develop better forecasting.