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In controversial science-intensive policy debates, charges of expert bias often arise. How does one sort out such charges—especially when expertise is interdisciplinary and collaborative? In this paper I address the problem of collaborative expert bias at the level of group process. Identification of bias is complicated not only by interdisciplinary complexity, but also by the ubiquity of bias, some of which can be fruitful for scientific discovery. Drawing on the Intergovernmental Panel on Climate Change (IPCC) for illustration, I distinguish different kinds of group-level bias in the sciences and propose ways of identifying bad bias.

Assessing Bias Charges against Collaborative Expertise, with an Application to the IPCC