The MuST (Munich-Sydney-Turin) conference series in philosophy of science joins forces with the workshop series “Perspectives on Scientific Error” to bring together an interdisciplinary group of researchers interested in issues of scientific method and statistical inference. The conference topic is
“Statistical Reasoning and Scientific Error”
The topics of the conference include, but are not limited to:
- the explanatory and inferential function of statistical models in the sciences
- the foundations of statistical inference
- the relationship between statistical reasoning and scientific error
- the place of statistics in scientific method
- the replicability of research findings
- techniques for detecting and correcting scientific error
- reform proposals for scientific method (e.g., Bayesian vs. frequentist statistics, publication practices, incentive structures)
- reliable methods of aggregating and interpreting evidence
- values in science, and their impact on scientific error
Submission guidelines – EXTENDED DEADLINE
Please submit an extended abstract (max 1000 words) and a short abstract (max 100 words) suitable for blind review until 12 May 2019 via the EasyChair review system (link below). The following categories are welcome:
- Presentations
- Posters
Participants should indicate in EasyChair whether they want their presentation submission, if not accepted, to be considered for the poster session.
CLICK HERE TO SUBMIT YOUR ABSTRACT
Notifications of acceptance are expected on May 20, 2019.
Organizers
Mattia Andreoletti (University of Turin)
Mark Colyvan (University of Sydney)
Noah van Dongen (University of Turin)
Paul Griffiths (University of Sydney)
Stephan Hartmann (LMU Munich)
Daniël Lakens (Eindhoven University of Technology)
Barbara Osimani (Marche Polytechnical University at Ancona & LMU Munich)
Jan-Willem Romeijn (University of Groningen)
Felipe Romero (University of Groningen)
Jan Sprenger (University of Turin)
Dates and Deadlines
12 May: Submission Deadline EXTENDED
20 May: Notification of Acceptance
15 June: Registration Deadline
1-4 July: Conference
For further questions please contact scientific.error.2019@gmail.com.