Freshly published

Journal of Economic Methodology
Comparative process tracing: yet another virtue of mechanisms?
Federica Russo
Philosophy, Louvain & Kent,
Online publication date: 18 March 2010

URL: http://dx.doi.org/10.1080/13501780903542888

Freshly published

Are causal analysis and system analysis compatible approaches?

International Studies in the Philosophy of Science, Volume 24, Issue 1 March 2010 , pages 67 – 90

Author Posting. (c) Federica Russo, 2010.
This is the author’s version of the work. It is posted here by permission of Federica Russo for personal use, not for redistribution. The definitive version was published in International Studies in the Philosophy of Science, Volume 24 Issue 1, March 2010. doi:10.1080/02698590903467127 (http://dx.doi.org/10.1080/02698590903467127)

Presentation at Kent

Freshly published

Casini L., McKay Illari P., Russo F., Williamson J., Recursive Bayesian Nets for Explanation, Prediction and Control in Cancer Science, in Fred A., Felipe J. and Gamboa H. (eds), Bioinformatics 2010, Proceedings of the First International Conference on Bioinformatics, Valencia, Spain, January 20-23 2010. ISBN: 978-989-674-019-1

Just accepted for publication!

Generic vs. Single-Case Causality. The Case of Autopsy. (with Jon Williamson)

To appear in the European Journal for Philosophy of Science

Causality and Causal Modelling in the Social Sciences. Measuring Variations

The anti-causal prophecies of last century have been disproved. Causality is neither a ‘relic of a bygone’ nor ‘another fetish of modern science’; it still occupies a large part of the current debate in philosophy and the sciences.

This investigation into causal modelling presents the rationale of causality, i.e. the notion that guides causal reasoning in causal modelling. It is argued that causal models are regimented by a rationale of variation, not of regularity nor invariance, thus breaking down the dominant Humean paradigm. The notion of variation is shown to be embedded in the scheme of reasoning behind various causal models: e.g. Rubin’s model, contingency tables, and multilevel analysis. It is also shown to be latent—yet fundamental—in many philosophical accounts. Moreover, it has significant consequences for methodological issues: the warranty of the causal interpretation of causal models, the levels of causation, the characterisation of mechanisms, and the interpretation of probability.

This book offers a novel philosophical and methodological approach to causal reasoning in causal modelling and provides the reader with the tools to be up to date about various issues causality rises in social science.

Causality and Causal Modelling in the Social Sciences

Freshly published

Variational Causal Claims in Epidemiology, Perspectives in Biology and Medicine

EPSA presentation October 2009