|Event date||April 10, 2019 - April 12, 2019|
|Submission deadline||November 01, 2018|
|Location||Ludwig-Maximilians-Universität München, Germany|
|Host(s)||The Munich Center for Mathematical Philosophy|
The Munich Center for Mathematical Philosophy invites abstracts for the following event:
Biases in Science
MCMP, LMU Munich
April 10-12, 2019
One of the main obstacles of reliable scientific research is the occurrence of explicit or implicit biases. Well-known examples of such biases include the confirmation bias, the ingroup bias, and biases resulting from industry-sponsored research. Each of these biases may impede the objectivity of scientific inquiry by, among other things, influencing one’s judgement as to what counts as relevant evidence, or one’s selection of research problems and methods of inquiry. All this, in turn, may ultimately affect the explanations, the predictions, as well as the broader theoretical accounts accepted by scientists. What is more, as research results often provide direct input for policy making, the problem of biases in science is also of socio-political relevance.
This conference aims at bringing together scholars from philosophy, the sciences, and science policy, to advance our understanding of biases in science by addressing questions such as:
- How do psychological mechanisms for scientific biases differ from those underpinning everyday biases in categorization, diagnosis, induction, etc.?
- What social mechanisms catalyse biased research?
- How can biased reasoning and information sharing be formally modelled?
- How are general hypotheses concerning bias supported by concrete cases of biased research?
- How are answers to the above questions helpful in mitigating the risks of biased research?
Call for abstracts
We invite submissions in the form of a short abstract (ca. 150 words) and an extended abstract (of up to 1000 words) through the EasyChair submission system: https://easychair.org/
The conference language is English; contributions in other languages will not be considered. The abstract should not contain any identifying information.
Dates and Deadines
Submission Deadline: November 1, 2018
Notifications: November 15, 2018
Conference: April 10-12, 2019