System trains driverless cars in simulation before they hit the road
Invented by IDSS and LIDS faculty member Sertac Karman and colleagues, the system uses a photorealistic simulation engine to train cars to drive in the real world and recover from near-crash scenarios.
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IDSS alum Paul Grogan wins NSF CAREER Award
Engineering Systems alum Paul Grogan (SM '10, PhD '14) was awarded for his research "Understanding Strategic Dynamics in the Engineering of Decentralized Systems."
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How to manage the hidden risks in remote work
IDSS faculty member Sandy Pentland offers advice on how organizations can stay productive and make good decisions as work moves virtual.
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Our internet isn’t ready for coronavirus
Many people are having to work and learn from home. Residential broadband networks might not be able to keep up, says TPP alum Josephine Wolff.
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Disaster vulnerability: 3 questions with TPP student Gabe Bann
Gabe Bann’s passions for data science and social justice led him to TPP, where he studies inequality in disaster vulnerability.
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David Rand wins 2020 FABBS Early Career Impact Award and AMA-EBSCO Award for Responsible Research in Marketing
DSS affiliate David Rand has been recognized for his major research contributions, including his paper “Credibility-enhancing displays promote the provision of non-normative public goods."
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Team co-led by LIDS faculty member Luca Carlone wins first place in subterranean drone challenge
Carlone's team bested the competition in the second part of the DARPA Subterranean Challenge, a competition to develop drones that can map, navigate and search underground.
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The catch to putting warning labels on fake news
Research from IDSS affiliate David Rand uncovers an "implied-truth effect," where tagging some stories as false makes readers more willing to believe and share untagged stories that are also false.
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Creating Peru’s next generation of data scientists
IDSS and social impact group Aporta share a vision to educate and empower.
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Detecting fake news takes time
A study co-authored by IDSS affiliate David Rand shows that people can tell when a story on social media is bogus — if they take a moment to think.
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