LIDS graduate student Heng “Hank” Yang and collaborators, including IDSS core faculty Luca Carlone, have developed the first set of “certifiable perception” algorithms, which could help protect the next generation of self-driving vehicles.
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Institute for Data, Systems, and Society (IDSS) is committed to addressing complex societal challenges by advancing education and research at the intersection of statistics, data science, information and decision systems, and social sciences.
“Demographic change — aging — is one of the most important factors leading to the adoption of robotics and other automation technologies,” says Daron Acemoglu, IDSS core faculty and co-author of a new paper detailing the results of the study.
S. Craig Watkins is an internationally recognized expert in media and a professor at the University of Texas at Austin. He will join IDSS to assist in researching the role of big data in enabling deep structural changes with regard to systemic racism.
An experiment led by IDSS affiliate David Rand shows that groups of laypeople reliably rate stories as effectively as fact-checkers do.