Rational management of resources on a planet with 7.6 billion people is not easy. I will discuss some examples and lessons learned about the role of our data-driven research in the formulation and deployment of global policies.
The Berkeley Distinguished Lectures in Data Science, co-hosted by the Berkeley Institute for Data Science (BIDS) and the Berkeley Division of Data Sciences, feature faculty doing visionary research that illustrates the character of the ongoing data, computational, inferential revolution. All campus community members are welcome and encouraged to attend. Arrive at 3:30pm for tea, coffee and discussion prior to the formal presentation.
Solomon Hsiang combines data with mathematical models to understand how society and the environment influence one another. In particular, he focuses on how policy can encourage economic development while managing the global climate. Hsiang earned a BS in earth, atmospheric, and planetary science and a BS in urban studies and planning from the Massachusetts Institute of Technology, and he received a PhD in sustainable development from Columbia University. He was a post-doctoral fellow in applied econometrics at the National Bureau of Economic Research (NBER) and a post-doctoral fellow in science, technology, and environmental policy at Princeton University.