Using adversarial attacks to refine molecular energy predictions
MIT researchers find a new way to quantify the uncertainty in molecular energies predicted by neural networks.
Inequality across networks
Eaman Jahani examines how resources are distributed across networks as a social and engineering systems PhD student at the Institute for Data, Systems, and Society.
Emery Brown wins Swartz Prize for Theoretical and Computational Neuroscience
Award cites major contributions to statistical analysis of brain activity and advancing the neuroscience of anesthesia.
Statistical model improves analysis of skin conductance
By accounting for sweat physiology, method can make better use of electrodermal activity for tracking subconscious changes in physical or emotional state.
What is the Covid-19 data tsunami telling policymakers?
A global team of researchers searches for insights during a weeklong virtual “datathon.”
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.
The MIT Press releases a comprehensive report on open-source publishing software
Report catalogs, analyzes available open-source publishing software; warns open publishing must grapple with siloed development and community-owned ecosystems.
MIT Press and Harvard Data Science Initiative launch the Harvard Data Science Review
Open access journal to promote the latest research, educational resources, and commentary from leading minds in data science.
Building a community for statistics and data science at MIT and beyond
Third annual MIT Statistics and Data Science conference gathers a growing interdisciplinary community of researchers and practitioners.
The quest to understand human society scientifically
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.
Study: There’s real skill in fantasy sports
Researchers find most fantasy sports are based on skill, not luck.
A game changer takes on cricket’s statistical problem
Laboratory for Information and Decision Systems alumnus and CSAIL lecturer Jehangir Amjad uses statistical methods to predict likely outcomes with limited data.
Celebrating 21st century statistics
MIT Statistics and Data Science Conference highlights new approaches and varied applications.
Institute for Data, Systems, and Society to launch new MicroMasters and PhD programs
Interdisciplinary doctoral program in statistics and online MicroMasters program in statistics and data science begin this fall.
When numbers started counting
New book by MIT assistant professor chronicles the birth of statistical arguments in public debate.