Data Science Lecture Series: Replication, Communication, and the Population Dynamics of Scientific Discovery

Many published research results are false, and controversy continues over the roles of replication and publication policy in improving the reliability of research. Speaker Paul Smaldino, a postdoctoral scholar in the Department of Anthropology at UC Davis, will present a mathematical model of scientific discovery in the context of replication, publication bias, and variation in research quality as part of the Berkeley Institute for Data Science (BIDS) Data Science Lecture Series. His model provides a framework for reasoning about the normative structure of science and speaks directly to ongoing debates about the design and conduct of science.

For more information about Paul Smaldino and his work, visit his webpage.

The lecture will take place on April 3, 2015 from 1:00 – 2:30pm in 190 Doe Library (BIDS).