Practicing Evidence – Evidencing Practice. Conference and Workshop

deadline for submissions: 
October 15, 2019
full name / name of organization: 
Technical University of Munich
contact email: 

Practicing Evidence – Evidencing Practice.  How is (Scientific) Knowledge Validated, Valued and Contested?

International Conference and Pre-Conference Workshop.  19-21st February, 2020, Munich


We propose to re-examine the question of evidence from a different angle: instead of asking what evidence is, we start with the question of how evidence is “done” in practice. How is knowledge validated? What counts (or does not count) as evidence in a given (disciplinary) context, and how does this affect scientific practices? How do evidence practices change over time? What happens to practices of evidence when established knowledge is challenged? What is the role of evidence-based knowledge in neoliberal, democratic and knowledge-based societies?

Keynote: Angela Creager, Professor in the History of Science, Princeton University

We welcome contributions from:

  • sociology,
  • history of science, technology and medicine,
  • science and technology studies,
  • media and communication studies,
  • political science, economics, philosophy,
  • and related fields
  • contemporary as well as historical contexts.

Early career researchers and doctoral students in topics related to evidence practices are encouraged to apply for the Pre-Conference Workshop:

  • 19.02.2020
  • we invite submissions of works in progress, doctoral projects, or projects in the planning stages
  • during the workshop you will have the chance to discuss and develop your work with invited experts and commentators
  • workshop participants are then invited to join the main conference.

For submission information and the full Call for Papers, visit: www.fggt.edu.tum.de/tg/

Submission Deadline: 15th October 2019

Contact: Dr Sarah Ehlers, History of Technology, Technical University of Munich. sarah.ehlers@tum.de


The research collaboration is funded by the DFG – Deutsche Forschungsgemeinschaft. We are grateful to the DFG and to the Carl Friedrich von Siemens Stiftung for support.