Dr. Stefano Canali

Alumnus
Start-Up Funding 2019-2020
Doctoral Candidate 2016-2019
Leibniz Universität Hannover

E-Mail: stefano.canali@polimi.it
Web: Academia | Personal Website

Stefano

Research Projects

The Role of Data in Contemporary Biomedicine: A Data-Centric Study of the Exposome (completed doctoral project, defended in 2019)

CV

Since 2021
Postdoctoral researcher, Department of Electronics, Information and Bioengineering, Polytechnic University of Milan, Italy

2019 – 2020
Start-Up Funding for Early-Career Researchers (“Anschubförderung”) at DFG-Graduiertenkolleg 2073 Integrating Ethics and Epistemology of Scientific Research

2019
PhD in Philosophy; Leibniz Universität Hannover, DFG Research
Training Group 2073 Integrating Ethics and Epistemology of Scientific
Research
. Dissertation: Data Between Environment and Health: An
Epistemological Study of the Exposome.

2016 – 2019
Doctoral candidate at the DFG Research Training Group 2073 Integrating Ethics and Epistemology of Scientific Research, Leibniz Universität Hannover

2015
M.Sc. in Science, Technology and Society; University College London, UK

2014
B.A. in Philosophy; University of Milan, Italy

Publications

Canali, S. (2020). What is New about the Exposome? Exploring Scientific Change in Contemporary Epidemiology. International Journal of Environmental Research and Public Health, 17(8), 2879 – Special Issue “The Exposome: State-of-the-Art and Future Perspectives”.

Canali, S. (2020). Making Evidential Claims in Epidemiology: Three Strategies for the Study of the Exposome. Studies in History and Philosophy of Biological and Biomedical Sciences.

Canali, S. (2019), Data between Environment and Health: An Epistemological Study of the Exposome. Doctoral dissertation. Hannover: Gottfried Wilhelm Leibniz Universität.

Canali, S. (2019). Evaluating Evidential Pluralism in Epidemiology: Mechanistic Evidence in Exposome Research. History and Philosophy of the Life Sciences, 41(4).

Canali, S. (2016). Big Data, epistemology and causality: Knowledge in and knowledge out in EXPOsOMICS. Big Data & Society, 3(2).