The use of big data has become increasingly common in social and health research, raising a series of new and difficult questions about research ethics.  In this informal workshop, a panel of investigators using big data for their research will describe issues that they have faced and other potential problems.  As background to this workshop, you may want to read:

• http://bdes.datasociety.net/council-output/perspectives-on-big-data-ethics-and-society/
• Kramer ADI, Guillory JE and Hancock JT (2014) Experimental evidence of massive-scale emotional contagion through social networks. Proceedings of the National Academy of Sciences 111(24): 8788–8790.
• http://www.michaelzimmer.org/2016/06/03/okcupid-and-the-ethics-of-big-data-research/
• Zimmer, M. Ethics Inf Technol (2010) 12: 313. doi:10.1007/s10676-010-9227-5

Panelists:

• Christina Palmer, CGC, PhD

Professor, Psychiatry and Biobehavioral Sciences, and Genetics, UCLA

• Irene PasquettoPh.D. Candidate, Department of Information Studies, UCLAGraduate Student Researcher, UCLA Center for Knowledge Infrastructures
• Sean Young, PhD

Associate Professor

Executive Director

University of California Institute for Prediction Technology (UCIPT)

Department of Family Medicine, UCLA