Data, Predictions and Decisions in Support of People and Society
Horvitz will share directions and results enabled by the confluence of large-scale data resources, jumps in computational power and advances in machine intelligence. He will focus on efforts that leverage learning and inference to help people with decisions, covering work in transportation, medicine, public health, and interactive systems. He will present projects that draw from traditional sources of data, such as GPS signals and electronic health records, as well as efforts that harness more exotic streams of information, including the use of planes in flight and anonymized behavioral data drawn from web services. He will conclude by discussing the promise of leveraging data, learning, and reasoning to enable new kinds of collaboration between people and machines to address challenges in the sciences, society, and daily life.