Applications in Data Science: Ethical Considerations in Online Experiments
Join associate dean and associate professor Coye Cheshire and Jeffrey Hancock, Cornell University professor of communication and information science, for our inaugural Applications in Data Science discussion series. Coye and Jeff will discuss experimentation with online platforms, collaborating with companies, and ethics and expectations with user data.
Professor Hancock is the co-author of the recent Facebook study (New York Times article) that manipulated 700,000 users' news feeds and resulted in significant controversy. His research focuses on computer-mediated communication, language and technology, deception and its detection, and figurative language.
The format will be casual and there will be a Q&A at the end with Jeff and the attendees.
Jeff Hancock is a professor in the departments of communication and information science at Cornell University. He is currently the co-chair of the information science department and the co-director of cognitive science. At the Cornell Social Media Lab, Professor Hancock and his team work on questions concerned with psychological and interpersonal processes in the context of communication technology. The team specializes in using in using computational linguistic analysis to understand how the words we use can reveal psychological and social dynamics, such as deception and credibility, emotional dynamics, intimacy and relationships, and social support. Funding from the National Science Foundation and the Department of Defense supports his research, which has been frequently featured in the popular media, including the New York Times, CNN, NPR, and the BBC. Dr. Hancock earned his Ph.D. in psychology at Dalhousie University, Canada, and joined Cornell in 2002.