Driving a human-machine collaboration
Hosted by IDSS affiliate and DUSP professor Jinhua Zhao, the MIT Mobility Forum explored a future for vehicle automation that lets technology and drivers interact.
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MIT announces five flagship projects in first-ever Climate Grand Challenges competition
IDSS/EAPS professor Noelle Selin co-leads a project that leverages advances in artificial intelligence, machine learning, and data science to improve the accuracy and utility of climate models.
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Emery Brown earns American Institute for Medical and Biological Engineering Pierre Galletti Award
AIMBE's highest honor recognizes MIT professor and IDSS core faculty member's contributions to neural signal processing, anesthesiology advances.
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System helps severely motor-impaired individuals type more quickly and accurately
A more flexible interface being developed by researchers including IDSS affiliate Tamara Broderick adapts to user inputs.
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WiDS Cambridge explores challenges and opportunities for data science
The 2022 Women in Data Science Cambridge conference focused on supporting more women of color practitioners and the role data science can play in mitigating climate change.
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Our human future in an age of artificial intelligence
Schwarzman College of Computing dean Dan Huttenlocher believes bringing disciplines together is the best way to address the challenges and opportunities posed by rapid advancements in computing.
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A tool for predicting the future
Researchers including IDSS core faculty Devavrat Shah design a user-friendly interface that helps nonexperts make forecasts using data collected over time.
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A renewable energy future
Former LIDS postdoc Pallavi Bharadwaj focuses on modeling complex power systems, energy efficiency, the cybersecurity of microgrids and other key components of renewable energy research.
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NFL stadium openings in 2020 had no impact on local Covid-19 infections
A study by IDSS faculty Devavrat Shah and Anette “Peko” Hosoi on NFL stadiums' implementation of masking and distancing may inform decisions on holding large outdoor gatherings amid future public health crises.
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How AI can help combat systemic racism
MLK Visiting Professor S. Craig Watkins looks beyond algorithm bias to an AI future where models more effectively deal with systemic inequality.
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