External Members

Fiorella Battaglia

Fiorella Battaglia is the Head of the Laboratory for Ethics in the Wild at the Digital Humanities Centre, University of Salento, where she is also assistant professor of moral philosophy in the Department of Humanities. Her research focuses on challenging ethical questions resulting from emerging technologies and climate change, which shape both our social and epistemic practices and our moral experiences.

After obtaining her MA degree in Philosophy from the University of Pisa, she earned her PhD in Philosophy and Politics from the University of Naples “L’Orientale” (2004) under the supervision of Rossella Bonito Oliva. In 2016, she completed her habilitation in Practical Philosophy and received her venia legendi from the Ludwig-Maximilians-Universität in Munich (Germany). She has also held an assistant professorship of Social Philosophy at the Berlin-Brandenburg Academy of Sciences and Humanities, at the Humboldt University in Berlin, an adjunct professorship of Epistemology at the Faculty of Medicine of the University of Pisa, and a visiting professorship at the Dirpolis and Biorobotics Institutes of the Sant’Anna School of Advanced Studies in Pisa.

Pierpaolo Battigalli

Pierpaolo Battigalli is a theoretical economist specialized in the epistemic and learning foundations of game theory, and in psychological game theory. He was born in Milan in 1961. He studied Economics and Social Sciences at Bocconi University, Milan, where he graduated in 1987 with a thesis on game theory. He was awarded an MSc in Econometrics and Mathematical Economics in 1989 at the London School of Economics and continued with doctoral studies in economics in Milan. He was awarded the PhD in Economics in 1992 with a monographic dissertation on the foundations of game theory. He worked as Assistant Professor at the Polytechnic of Milan (1992-94) and Princeton University (1994-98), as professor at the European University Institute (1998-2000), and finally returned to the alma mater as full professor. At Bocconi University he served as Director of the PhD program in Economics, Dean of the PhD School, and Head of the Department of Decision Sciences. He served as Associate Editor of Econometrica, Theoretical Economics, and the International Journal of Game Theory, and he is currently (Co)Editor of the Journal of Economic Theory and Associate Editor of Games and Economic Behavior. He was elected Fellow of the Econometric Society, Fellow of the Game Theory Society, and Economic Theory Fellow.

Selected Publications:

Battigalli, P., Cerreia Vioglio, S., Maccheroni, F., Marinacci, M., & Sargent, T. (2022). A framework for the analysis of self-confirming policies. Theory and Decision. doing:10.1007/s11238-021-09862-9

Battigalli, P., & Dufwenberg, M. (2022). Belief-dependent motivations and psychological game theory, Journal of Economic Literature. doi:10.1257/jel.20201378

Battigalli, P., & De Vito, N. (2021). Beliefs, plans, and perceived intentions in dynamic games. Journal of Economic Theory. dot:10.1016/j.jet.2021.105283

Aina, C., Battigalli P., & Gamba, A. (2020). Frustration and anger in the ultimatum game: An experiment. Games and Economic Behavior. doing:10.1016/j.geb.2020.04.006

Battigalli, P., Corrao, R., & Sanna, F. (2020) Epistemic game theory without types structures: An application to psychological games. Games and Economic Behavior. doing:10.1016/j.geb.2019.12.005

Giovanni Boniolo

Giovanni Bonilio (doctoral degree in Physics and in Philosophy), Full Professor of Philosophy of Science and Medical Humanities, Department of Neuroscience and Rehabilitation (University of Ferrara, Italy). Honorary Ambassador of the Technische Universität München. President of the Accademia dei Concordi (Rovigo, Italy). Scientific coordinator of the Postgraduate Program in Oncohumanities realized by ESO and the University of Bologna. Co-editor-in-chief of History and Philosophy of the Life Sciences. Series Editor of Springer Briefs on Ethical and Legal Issues in Biomedicine and Technology. His work, now especially in the fields of the philosophy of biomedicine and its ethical implications, is witnessed by 13 books (plus 12 books edited) and about 280 papers, most of which in peer reviewed journals.

Selected Publications:

Boniolo, G. (2023). Decidere, morire, essere nella medicina di oggi. Milano: Mimesis.

Boniolo, G. (2012). The art of deliberating: Democracy, deliberation and the life sciences between history and theory. Heidelberg: Springer.

Blasimme, A., Boniolo, G., & Nathan, M. J. (Eds.) (2021). Rethinking ageing [topical collection]. History and the Life Sciences, 43(3).

Boniolo, G., & Onaga, L. (Eds.) (2021). Seeing clearly through COVID-19: Current and future questions for the history and philosophy of the life sciences [topical collection]. History and the Life Sciences, 43(2).

Boniolo, G., & Nathan, M. (Eds). (2017). Philosophy of molecular medicine: Foundational issues in research and practice. New York: Routledge.

Stefano Bonzio

Stefano Bonzio is assistant professor (tenure position) in Mathematical Logic at the Department of Mathematics and Computer Science of the University of Cagliari. His main research interests include non-classical logics (in particular Kleene logics), Algebraic Logic, Universal algebra (in particular, the theory of Plonka sums) and the foundation of probability. His research has also focused on decisions under uncertainty.

Selected Publications:

Bonzio, S., Paoli, F., & Pra Baldi, M. (2022). Logics of variable inclusions. Trends in Logic. Springer.

Bonzio, S., & Pra Baldi, M. (2022). Containment logics: Algebraic counterpart and reduced models. Journal of Logic and Computation, 32(4), 808-831.

Bonzio, S., & Pra Baldi, M. (2021). Containment logics: Algebraic completeness and axiomatization. Studia Logica, 109, 969-994.

Bonzio, S., Moraschini, T., & Pra Baldi, M. (2021). Logics of left variables inclusion and Plonka sums of matrices. Archive for Mathematical Logic, 60, 49-76.

Bonzio, S., Gil-Férez, J., Paoli, F., & Peruzzi, L. (2017). On paraconsistent weak Kleene logic: Axiomatisation and algebraic analysis. Studia Logica, 105(2), 253-297.

Alex Broadbent

Alex Broadbent is Professor of Philosophy of Science at Durham University and Visiting Professor at the University of Johannesburg. He is Director of the Durham-Johannesburg Centre for Philosophy of Epidemiology, Medicine, and Public Health, and co-leads the Measurement Lab in the Institute for Medical Humanities. Besides his academic research in these areas, he publishes opinion pieces on the interface between science, humanities, and policy, and engages with policy and litigation in relation to epidemiology and public health. He is founding Editor in Chief of the journal Philosophy of Medicine, an Associate Editor of Global Epidemiology, and an Associate Member of Millennium Chambers of The Barrister Network, London.

Peter Brössel

I am Junior-Professor for the Philosophy of Perception and Knowledge, director of the Emmy Noether Research Group “From Perception to Belief and Back Again“ and one of the PIs of the Research Training Group “Situated Cognition“. My professorship and both groups are located at the Department of Philosophy II and the Center for Mind, Brain, and Cognitive Evolution at the Ruhr-University Bochum (RUB).

My research interests are in epistemology, philosophy of science and at the intersection of the philosophy of language and the philosophy of mind. In epistemology, my research centers on theories of rational reasoning and perception, and the relationship between reasons, epistemic rationality, and epistemic normativity. I also have a research focus on social epistemology, especially, peer disagreement and testimony. My research in the philosophy of science focuses on theories of confirmation, causation and explanatory and systematic power. In the philosophy of language and the philosophy of mind, I am interested in theories of representation and, especially, the interface between perception, language, and belief. One particular aim of my research in these areas is to bring together traditional topics in epistemology and philosophy of science with recent approaches in cognitive science.

Selected Publications:

Poth, N., & Brössel, P. (forthcoming) Learning concepts: A learning theoretic solution to the complex-first paradox. Philosophy of Science.

Brössel, P. (2017). Rational relations between perception and belief: The case of color. Review of Philosophy and Psychology, 8(4), 721-741.

Brössel, P. (2015). On the role of explanatory and systematic power in scientific reasoning. Synthese, 192(12), 3877-3913.

Brössel, P. (2014). Assessing theories: The coherentist approach. Erkenntnis, 79(3), 593-623.

Brössel, P., Eder, A.-M. A., & Huber F. (2013). Evidential support and instrumental rationality. Philosophy and Phenomenological Research 87(2), 279-300.

Nancy Cartwright

NC FBA FAcSS is a philosopher of natural and social science working most recently in the philosophy of social technology on issues of evidence for evidence-informed policy and more generally on how better to put scientific knowledge to use to build more decent societies. She works at Durham Univ in the UK and the Univ of California at San Diego in the US, having worked before at the Univ of Maryland, Stanford and the London School of Economics.

Selected Publications:

Cartwright, N. & Pemberton, J. (forthcoming). Causal processes and their evidence: A practical guide. Cambridge University Press.

Cartwright, N. (2022). A philosopher looks at science. Cambridge University Press.

Cartwright, N., Hardie, J., Montuschi, E., Soleiman, M., & Thresher, A. (2022). The tangle of science: Reliability beyond the scientific method, rigour, and objectivity. Oxford University Press.

Cartwright, N. (2019). Nature the artful modeler: Lectures on laws, science, how nature arranges the world, and how we can arrange it better. The 2017 Carus Lectures. Chicago: Open Court.

Munro, E., Cartwright, N., Hardie, J., & Montuschi, E. (2017). Improving child safety: Deliberation, judgement and empirical research. Durham: Centre for Humanities Engaging Science and Society (CHESS).

Gustavo Cevolani

Gustavo Cevolani is Associate Professor of Logic and Philosophy of Science at the IMT School for Advanced Studies Lucca (Italy). His main research interests are in general philosophy of science, formal epistemology, and cognitive science, focusing on the analysis of rational decisions in scientific and ordinary contexts. In the last fifteen years, he extensively published on topics like truth approximation, cognitive progress, scientific realism, Bayesian confirmation theory, and methodological aspects of the social, behavioral, and cognitive sciences. He is also interested in studying experts’ reasoning and biases, especially in the legal and forensic domains. He currently (2023-25) serves as the President of the Italian Association of Cognitive Sciences (AISC).

Selected Publications:

Oddie, G., & Cevolani, G. (2022). Truthlikeness. In E. N. Zalta, & U. Nodelman (Eds.), The Stanford Encyclopedia of Philosophy, Winter 2022. Metaphysics Research Lab, Stanford University. Retrieved from https://plato.stanford.edu/archives/win2022/entries/truthlikeness/

Peruzzi, E., & Cevolani, G. (2022). Defending de-idealization in economic modeling: A case study. Philosophy of the Social Sciences, 52(1-2), 25-52.

Calzavarini, F., & Cevolani, G. (2022). Abductive reasoning in cognitive neuroscience: Weak and strong reverse inference. Synthese, 200, 70.

Festa, R., & Cevolani, G. (2017). Unfolding the grammar of Bayesian confirmation: Likelihood and anti-likelihood principles. Philosophy of Science, 84, 56-81.

Cevolani, G. (2017). Fallibilism, verisimilitude, and the preface paradox. Erkenntnis, 82(1), 169-183.

Alexander Christian

Alexander Christian is a tenured lecturer of philosophy at the Heinrich Heine University (HHU) in Düsseldorf, Germany. He currently serves as the managing director of the German Society of Philosophy of Science (GWP). At the HHU he is responsible for an ethics of science program, currently staffed with one tenured research fellow and two temporary teaching assistants. Additionally he has a project, in which he develops open educational resources on good scientific practice in biomedical research. His area of expertise is within ethics of science and bioethics, in particular good scientific practice / responsible conduct of research in biomedicine, scientific misconduct and questionable research practices in pharmaceutical research and the ethics of CRISPR/Cas-based human germline editing (Habilitation project). His area of competence covers medical ethics (principle-based medical ethics, professionalism in medicine), animal ethics (ethical veganism, animal rights), and general philosophy of science (denial of epidemiological and virological knowledge).

Selected Publications:

Christian, A. (2022). Addressing conflicts of interest and conflicts of commitment in public advocacy and policy making on CRISPR/Cas-based human genome editing. Frontiers in Research Metrics and Analytics.

Christian, A. (2022). Gute wissenschaftliche Praxis als Thema im gymnasialen Oberstufenunterricht. In B. Bussmann (Ed.), Theoretisches Philosophieren und Lebensweltorientierung. J. B. Metzler.

Christian, A. (2022). Scheitern in der Medikamentenforschung: Eine vergleichende Fallstudie über Neuraminidasehemmer und Hydroxichloroquine. In M. Jungert, & M. Schoul (Eds.), Scheitern in der Wissenschaft. J.B. Metzler.

Christian, A. (2020). Gute wissenschaftliche Praxis: Eine philosophische Untersuchung am Fallbeispiel der biomedizinischen Forschung. Berlin: De Gruyter.

Christian, A. (2020). Wissenschaft und Pseudowissenschaft: Zur Aktualität des Demarkationsproblems im Kontext der Leugnung medizinischen Wissens. In Jungert et al. (Eds.), Wissenschaftsreflexion: Interdisziplinäre Grundlagen und ethische Perspektiven. Paderborn: Mentis.

Vincenzo Crupi

Vincenzo Crupi is professor of Logic and Philosophy of Science at the University of Turin. After studying philosophy in Turin, he got a MA in Philosophy of Science at the London School of Economics, and then a PhD in Philosophy again in Turin. He held research positions at several institutions, including the Center for Mind/Brain Sciences in Rovereto (Trento) and the Munich Center for Mathematical Philosophy, before taking a permanent appointment at the University of Turin in 2011. In Turin he also directed the Center for Logic, Language, and Cognition (LLC) from its foundation (2014) up to 2021. Crupi’s work on classical issues in logic and philosophy of science concerns Bayesian epistemology, confirmation, and conditionals. In cognitive science, he’s been involved in experimental research on human reasoning and in theoretical models of information search. As a major domain of application, Crupi has also been working extensively on rationality and error in clinical medicine and medical decision making.

Selected Publications:

Crupi V., & Iacona A. (2023). Outline of a theory of reasons. Philosophical Quarterly, 73, 117-142.

Crupi V., Elia F., Aprà F., & Tentori K. (2018). Double conjunction fallacies in physicians’ probability judgment. Medical Decision Making, 38, 756-760.

Crupi V., Nelson J. D., Meder B., Cevolani G., & Tentori K. (2018). Generalized information theory meets human cognition: Introducing a unified framework to model uncertainty and information search. Cognitive Science, 42, 1410-1456.

Crupi V. & Tentori K. (2014). Measuring information and confirmation. Studies in the History and Philosophy of Science, 47, 81-90.

Crupi V., Fitelson B., & Tentori K. (2008). Probability, confirmation, and the conjunction fallacy. Thinking and Reasoning, 14, 182-199.

Marco Cosentino

Marco Cosentino è laureato in Medicina e Chirurgia nell’Università di Pavia e dottore di ricerca in Farmacologia e Tossicologia nell’Università di Torino. Ricopre attualmente il ruolo di professore ordinario di farmacologia nella Scuola di Medicina dell’Università dell’Insubria in Varese, dove dirige il Centro di Ricerca in Farmacologia Medica e coordina il Dottorato di Ricerca in Medicina Clinica e Sperimentale e Medical Humanities. I temi di ricerca riguardano la farmacologia e la terapia delle malattie del sistema nervoso e del sistema immunitario, in particolare sclerosi multipla, malattia di Parkinson, artrite reumatoide, cancro, aterosclerosi e altre malattie infiammatorie. Altre linee di ricerca comprendono farmacoepidemiologia, farmacovigilanza, farmacogenetica e farmacologia dei prodotti di origine naturale, in particolare estratti vegetali e oli essenziali. E’ coordinatore del corso di perfezionamento in Metodologia, etica e integrità della ricerca biomedica, giunto alla terza edizione, nonché del corso di formazione VIRT2UE Train the Trainer, sviluppato nell’ambito di una rete internazionale sostenuta dal programma di ricerca dell’UE Horizon 2020 under grant agreements N 741782 and N 787580. E’ autore di diverse centinaia di articoli originali e revisioni della letteratura pubblicati su riviste internazionali indicizzate con revisione tra pari, nonché di numerosi volumi e capitoli di volumi pubblicati dalle più prestigiose case editrici internazionali. Ha presieduto e partecipato ai lavori di numerosi comitati etici ospedalieri per la ricerca clinica ed è attualmente componente della Commissione Medico-Scientifica indipendente (https://cmsindipendente.it/).

Paride Del Grosso

Nevia Dolcini

Nevia Dolcini is Associate Professor of Philosophy and Primary Faculty member of the Centre for Cognitive and Brain Sciences at the University of Macau. Her main research interests are in philosophy of language, philosophy of psychology, and epistemology, focusing on the relationships between language, perception, and imagination. She is also engaged with methodological issues in both philosophy and science. Her current research project investigates selective trust in machine testimony versus human testimony.

Serena Doria

Serena Doria is associate Professor of Probability and Mathematical Statistics since 2022. She received her degree in Mathematics in January 1992 at the University “La Sapienza” of Rome. She was researcher in Probability and Mathematical Statistics at the University “Roma III” from 1995-96 and at the University “La Sapienza” of Rome from 1996-97. She has been researcher in Probability and Statistics at the University G.d’Annunzio of Chieti from 1997 to 2022.

She has focused her interest on foundations of probability in particular on the comparison between the axiomatic approach and the subjective approach based on the notion of coherence of the conditional probability. One of the interest of her research is to investigate non additive extensions of coherent conditional probability and previsions.

She proposed a new model of coherent conditional prevision defined by the Choquet integral with respect to the dimensional Hausdorff measures and now she investigates applications of the model in AI to represent conscious and unconscious activity of human brain activity.

She has been Editor of the Special Issue of the Ninth International Symposium of Imprecise Probability: Theory and Applications – ISIPTA’15, International Journal of Approximate Reasoning,. Since l 2001 she is a member of SIPTA (International Society for Imprecise Probability: Theories and Applications).

Selected Publications:

Doria, S. (2023). Coherent conditional previsions with respect to inner and outer Hausdorff measures to represent conscious and unconscious human brain activity. International Journal of Approximate Reasoning, 156, 134-146.

Doria, S. (2023). Coherent Upper conditional previsions defined trough conditional aggregator operators. Mathematics 2022, 10(24), 4728.

Doria, S. (2021). Coherent lower and upper conditional previsions defined by Hausdorff inner and outer measures to represent the role of conscious and unconscious thought in human decision making. Annals of Mathematics and Artificial Intelligence, 89, 947-964.

Doria, S. (2021). Disintegration property of coherent upper conditional previsions with respect to Hausdorff outer measures for unbounded random variables. International Journal of General Systems, 50(3), 262-280.

Doria, S., Mesiar, R., & Seliga, A. (2020). Construction method of coherent lower and upper previsions based on collection integrals. Bollettino della Unione Matemtica Italiana, 13, pp. 469-476.

Anna-Maria A. Eder

Anna-Maria Asunta Eder is an Eleonore-Trefftz Visiting Professor at the TU Dresden and a Research Fellow at the University of Cologne. She works in epistemology, philosophy of science, metaphilosophy, and philosophy of logic. Currently, she is working, among other things, on expertise and collaboration, and on trust (with)in science.

Selected Publications:

Eder, A.-M. A. (2021). Explicating the concept of epistemic rationality. Synthese. Advance online publication. doi:10.1007/s11229-020-03011-5

Eder, A.-M. A. (2020) Disagreement in a group: Aggregation, respect for evidence, and synergy. In A. Carter, & F. Broncano-Berrocal (Eds.), The epistemology of group disagreement. Routledge.

Eder, A.-M. A. (2019). Evidential probabilities and credences. British Journal for the Philosophy of Science. Advance online publication. doi:10.1093/bjps/axz043

Eder, A.-M. A., & Brössel, P. (2019). Evidence of evidence and higher-order evidence. In: M. Skipper, & A. Steglich-Petersen (Eds.), Higher-order evidence: New essays (pp. 62-83). Oxford: Oxford University Press.

Brössel, P., & Eder, A.-M. A. (2014). How to resolve doxastic disagreement. Synthese, 191, 2359-2381.

Christian J. Feldbacher-Escamilla

Christian is a faculty member of the department of philosophy of the University of Cologne. His area of expertise is within epistemology and the philosophy of science, where he is particularly interested in problems of social epistemology, machine learning, and inductive as well as abductive inference.

Selected Publications:

Baraghith, K. & Feldbacher-Escamilla, C. J. (2021). The many faces of generalizing the theory of evolution. American Philosophical Quarterly, 58(1), 35-50.

Feldbacher-Escamilla, C. J. (2021). Carnap’s conditions of adequacy for explications and conceptual engineering. Logique et Analyse, 256(1), pp.487-509.

Feldbacher-Escamilla, C. J. (2020) An optimality-argument for equal weighting. Synthese, 197(4), 543-1563.

Feldbacher-Escamilla, C. J., & Baraghith, K. (2020). Cultural inheritance in generalized Darwinism. Philosophy of Science, 87(2), 237-261.

Feldbacher-Escamilla, C. J., & Gebharter, A. (2020). Confirmation based on analogical inference: Bayes meets Jeffrey. Canadian Journal of Philosophy, 50(2), 174-194.

Norman Fenton

Norman Fenton is a retired Professor of Risk at Queen Mary University of London and a Director of Agena, a company that specialises in risk management for critical systems. He is a mathematician whose current focus is on critical decision-making, quantifying uncertainty using causal, probabilistic models that combine data and knowledge (Bayesian networks). His applications include law and forensics (he has been an expert witness in major criminal and civil cases), health, finance, security

Selected Publications:

Fenton, N. E. and M. Neil, Risk Assessment and Decision Analysis with Bayesian Networks (2nd Edition). 2018 Chapman and Hall/CRC Press, ISBN: 9781138035119, 2018

Fenton, N. E., Neil, M., Craig, C. & McLachlan, S. (2022). “What the ONS Mortality Covid-19 Surveillance Data can tell us about Vaccine Safety and Efficacy”, http://dx.doi.org/10.13140/RG.2.2.30898.07362

Fenton, N. E., & Neil, M. (2021). Calculating the Likelihood Ratio for Multiple Pieces of Evidence. http://arxiv.org/abs/2106.05328

Fenton, N. E., Lagnado, D. A., Dahlman, C., & Neil, M. (2019). “The Opportunity Prior: A proof-based prior for criminal cases”, Vol 18(4), 237-253 Law, Probability and Risk, DOI 10.1093/lpr/mgz007

Fenton, N. E., Noguchi, T. & Neil, M (2019). “An extension to the noisy-OR function to resolve the “explaining away” deficiency for practical Bayesian network problems”. IEEE Transactions on Knowledge and Data Engineering, 31(12), 2441-2445 DOI: 10.1109/TKDE.2019.2891680

Konstantin Genin

Clark Glymour

Clark Glymour is the Alumni University Professor, Emeritus, at Carnegie Mellon University. He is a fellow of the American Statistical Association and the American Council of Learned Societies and a former Guggenheim fellow. He took degrees in Chemistry and Philosophy and a doctorate in History and Philosophy of Science. The majority of his work has been focused on the development of statistical conditions and algorithms for discovering causal relations from observational and experimental data, and their applications in a variety of domains. He has also worked on the topological structure of General Relativity models, on developmental and neuropsychology, on topics in the history of psychology and physics, and on philosophical issues concerning the confirmation of scientific theories. His major books are Thinking Things Through (MIT Press) and (with P. Spirtes and R. Scheines) Causation, Prediction and Search (MIT Press).

Giampietro Gobo

Giampietro Gobo (Ph.D.) is professor of Science and Technology Studies (STS), Methodology and Research Methods, and Evaluation Methods at the Dept. of Philosophy, University of Milan (Italy).
Former Director of the centre ICONA (Innovation and Organizational Change in the Public Administration), he founded the ‘Qualitative Methods’ Research Network of ESA (European Sociological Association) and published over fifty articles in the areas of qualitative and quantitative methods. He taught at the Oslo University, Universität Bayreuth, Technische Universität Berlin, University of Flacso (Mexico City) and Lund University.

His interests concern with the sociology of senses, scientific controversies on health issues, and workplace studies. He is currently undertaking ethnographic experiments on the role of senses in teamwork cooperation, and projects on the immunization and covid-19 policies.

Selected Publications:

Gobo G. (2023). The decline of trust towards scientists after Covid-19. A pilot study in the Italian context. In Silvia Bonacchi & Lukasz Kumiega (Eds.), The Green Pass Conflict in Germany, Italy and Poland. Göttingen: Vandenhoeck & Ruprecht.

Gobo, G., & Marcheselli, V. (2022). Science, technology and society: An introduction. London: Palgrave Macmillan.

Gobo G., Serafini L., Campo E., & Caserini A. (2022). Covid-19 e fiducia negli scienziati. Uno studio pilota sui lettori di due giornali online. Comunicazione Politica, 23(1), 19-38.

Gobo, G., & Sena B. (2022). Questioning and disputing vaccination policies. Scientists
and experts in the Italian public debate. Bulletin of Science, Technology & Society, 42(1-2), 25-38.

Gobo, G., Campo, E., & Portalupi, E. (2023). A systemic approach to health and disease: The interaction of individuals, medicines, cultures and environment. In Alessandro Pingitore and Alfonso Maurizio Iacono (Eds.), Medicine: A Science in the middle, pp. 39-53. Springer.

Stephan Hartmann

Stephan Hartmann is Professor of Philosophy of Science in the Faculty of Philosophy, Philosophy of Science and the Study of Religion at LMU Munich, Alexander von Humboldt Professor, and Co-Director of the Munich Center for Mathematical Philosophy (MCMP). His primary research and teaching areas are philosophy of science, philosophy of physics, formal epistemology, social epistemology and (Bayesian) cognitive science. He published numerous articles and the books Bayesian Epistemology (with Luc Bovens, OUP 2003) and Bayesian Philosophy of Science (with Jan Sprenger, OUP 2019). His current research interests include the philosophy and psychology of reasoning and argumentation, the philosophy of physics (esp. the philosophy of open quantum systems) and formal social epistemology (esp. models of deliberation).

Selected Publications:

Eva, B., & Hartmann, S. (2020). On the origins of old evidence. Australasian Journal of Philosophy, 98(3), 481-494.

Frigg, R., & Hartmann, S. (2020). Models in science. In E. Zalta (Ed.), Stanford Encyclopedia of Philosophy, Metaphysics Research Lab, Stanford University, Stanford/CA.

Sprenger, J., and S. Hartmann (2019). Bayesian Philosophy of Science. Oxford: Oxford University Press.

Colombo, M., & Hartmann, S. (2017). Bayesian cognitive science, unification, and explanation.
The British Journal for the Philosophy of Science, 68(2), 451-484.

Bovens, L., & Hartmann, S. (2003). Bayesian Epistemology. Oxford: Oxford University Press.

Leah Henderson

Leah Henderson is an Associate Professor in Theoretical Philosophy at the University of Groningen in the Netherlands. Starting in September 2023, she will hold a professorship by special appointment on the theme of societal trust, sponsored by the Dutch society Koninklijke Hollandsche Maatschappij der Wetenschappen and the Agricola school of the University of Groningen. She does research on foundational topics in philosophy of science and epistemology, as well as on more applied areas of social epistemology. She has a strong interest in science-based policy.

Selected Publications:

Henderson, L. (2022). Putting inference to the best explanation into context. Studies in History and Philosophy of Science, 94, 167-176.

Henderson, L. (2021). Higher-order evidence and losing one’s conviction, Noûs.

Henderson, L., & Gebharter, A. (2021). The role of source reliability in belief polarisation. Synthese, 199(3-4), 10253-10276.

Henderson, L. (2020). Resolution of deep disagreement: Not simply consensus. Informal Logic, 40(3), 359-382.

Henderson, L. (2018). The problem of induction. In E. Zalta (Ed.), Stanford Encyclopedia of Philosophy (Winter 2020 edition), Metaphysics Research Lab, Stanford University, Stanford/CA.

Catherine Herfeld

Hykel Hosni

I am professor of Logic at the LUCI Group at the University of Milan. I am also adjunct professor at the Department of Policy Analysis and Public Management, Bocconi University. I work primarily on the logical foundations of reasoning and decision-making under uncertainty.

Ciro Isidoro

Selected Publications:

Nadhan, R., Kashyap, S., Ha, J. H., Jayaraman, M., Song, Y. S., Isidoro, C, & Dhanasekaran, D. N. (2023). Targeting oncometabolites in peritoneal cancers: Preclinical insights and therapeutic strategies. Metabolites, 13(5), 618.

Vallino, L., Garavaglia, B., Visciglia, A., Amoruso, A., Pane, M., Ferraresi, A., & Isidoro, C. (2023). Cell-free Lactiplantibacillus plantarum OC01 supernatant suppresses IL-6-induced proliferation and invasion of human colorectal cancer cells: Effect on β-Catenin degradation. J Tradit Complement Med, 13(2), 193-206.

Ho, C. T., Wu, M. S., Panyod, S., Chang, A. C., Isidoro, C., Sheen, L. Y. (2023). Gut microbiota and health [editorial note]. J Tradit Complement Med, 13(2), 105-106.

Rubio, K., Hernández-Cruz, E. Y., Rogel-Ayala, D. G., Sarvari, P., Isidoro, C., Barreto, G., & Pedraza-Chaverri, J. (2023). Nutriepigenomics in environmental-associated oxidative stress. Antioxidants, 12(3), 771.

Bellavite, P., Ferraresi, A., & Isidoro, C. (2023). Immune response and molecular mechanisms of cardiovascular adverse effects of Spike proteins from SARS-CoV-2 and mRNA vaccines. Biomedicines, 11(2), 451.

Lena Kästner

Lena Kästner is professor for philosophy, computer science and AI at University of Bayreuth. Her research focuses on explaining the behavior of natural and artificial intelligent systems. Prof. Kästner has a background in cognitive science and neuroscience; she received her PhD in philosophy from Ruhr-University Bochum in 2014 and has held positions at Humboldt Universität zu Berlin, Saarland University and Tilburg University before moving to Bayreuth. She’s currently head-PI of the project Explainable Intelligent Systems (EIS; www.eis.science) funded by the Volkswagen Foundation.

Selected Publications:

Langer, M., Oster, D., Speith, T., Hermanns, H., Kästner, L., Schmidt, E. & Baum, K. (2021). XAI – What is it good for? Introducing an organizing framework for interdisciplinary research on explainable artificial intelligence. Artificial Intelligence: Special Issue on Explainable Artificial Intelligence. doi:10.1016/j.artint.2021.103473

Kästner, L. & Haueis, P. (2019). Discovering patterns: On the norms of mechanistic inquiry. Erkenntnis. doi: 10.1007/s10670-019-00174-7.

Kästner, L. (2017). Philosophy of cognitive neuroscience: Causal explanations, mechanisms, and experimental manipulations. Berlin: Ontos/DeGruyter.

Cardin, V. Orfanidou, E., Kästner, L., Rönnberg, J., Woll, B. Capek, C., Rudner M. (2016). Monitoring different phonological parameters of sign language engages the same cortical language network but distinctive perceptual ones. Journal of Cognitive Neuroscience, 28, 20-40.

De Bruin, L.C. & Kästner, L. (2012). Dynamic embodied cognition. Phenomenology and the Cognitive Sciences, 11, 541-563.

Daniel Koch

Jakob Koscholke

Jakob is currently a postdoctoral researcher at Goethe University Frankfurt. He holds a BA in Philosophy-Neuroscience-Cognition from the University of Magdeburg, an MA in Logic from the University of Leipzig and a PhD from the University of Oldenburg. Before coming to Frankfurt, Jakob was a postdoctoral researcher at the University of Hamburg, a Visiting Fellow at ILLC Turin, and a Visiting Scholar at Stanford University. His research focuses on probabilistic models of coherence and confirmation.

Selected Publications:

Koscholke, J. (forthcoming). Alan Author strikes again: more on confirming conjunctions of disconfirmed hypotheses. Analysis.

Koscholke, J. (2023). Hesse’s condition for transitivity of probabilistic support: A friendly
reminder. Erkenntnis. Advance online publication. doi:10.1007/s10670-023-00724-0

Koscholke, J., Schippers M. and Stegmann, A. (2018). New hope for relative overlap measures of coherence. Mind, 128(512), 1261-1284.

Koscholke, J. (2017). A weak symmetry condition for probabilistic measures of confirmation. Philosophical Studies, 175(8), 1927-1944.

Koscholke, J. and Schippers, M. (2015). Against relative overlap measures of coherence. Synthese, 193(9), 2805–2814.

Paolo Diego L’Angiocola

Dr. Paolo Diego L’Angiocola, M.D. is Head of Clinical Cardiology Service at Nova Salus/Sanitas Friuli Healthcare Company. He is Consultant Cardiologist in the private Healthcare Sector and he boasts many years of previous, professional experience in the National Public Healthcare System in Departments of Emergency Medicine, Internal Medicine and Intensive Cardiac Care Unit.

He is former Co-Founder of SIMEDET Scientific Society.

He holds a 15 years long and active Accreditation from European Association of Cardiovascular Imaging (EACVI) in Advanced Echocardiography and is active member of European Society of Cardiology, mainly focusing on ultrasound and multi-modality Cardiac Imaging research.

Sabina Leonelli

I serve as the Director of the Exeter Centre for the Study of the Life Sciences (Egenis); theme lead for the “Data Governance, Openness and Ethics” strand of the Exeter Institute for Data Science and Artificial Intelligence (IDSAI); and Turing Fellow at the Alan Turing Institute in London. I am also Editor-in-Chief of the international journal History and Philosophy of the Life Sciences, together with Professor Giovanni Boniolo, and Associate Editor for the Harvard Data Science Review. I serve as External Faculty for the Konrad Lorenz Institute for the Advanced Study of Natural Complex Systems and hold a Honorary Professorship at the School of History of the University of Adelaide and a Research Fellowship with the Stazione Zoologica Anton Dorhn in Naples. I have been elected Fellow of the Academie Internationale de Philosophie de la Science, the Academia Europaea, and the Royal Society of Biology, and member of AcademiaNet.

My research spans the fields of history and philosophy of biology, science and technology studies and general philosophy of science, and currently focuses on four interrelated strands: [1] the philosophy, history and social studies of data-intensive science and empirical inquiry, especially the impact of Big and Open Data on research and wider society, responsible data management, data infrastructures and the construction of semantics to enable data linkage for automated mining in the plant sciences and biomedicine; [2] the philosophy of Open Science, and the scientific and social implications of implementing Open Science policies and procedures; [3] the philosophy and history of organisms as research models, with a focus on experimental organisms; [4] the history and epistemology of the plant sciences, especially the global circulation of plant data, its relation to biological materials and agricultural development strategies, and its significance for understanding 21st century biological research beyond the lab.

Selected Publications:

Leonelli, S. (2023). Philosophy of open science. Cambridge University Press.

Leonelli, S., Kirk, R. G. W., & Myelnikov, D. (2023). Circulating bodies: Human-animal movements in science and medicine. Hist Philos Life Sci, 45(1).

Leonelli S (2022). Open science and epistemic diversity: Friends or foes? Philosophy of Science, 89(5), 991-1001.

Williamson, H. F., Leonelli, S. (2022). Accelerating agriculture: Data-intensive plant breeding and the use of genetic gain as an indicator for agricultural research and development. Studies in History and Philosophy of Science, 95, 167-176.

Leonelli S (2016). Data-centric biology: A philosophical study. Chicago University Press.

Bert Leuridan

Christoph Lütge

Christoph Lütge is a Full Professor of Business Ethics at the Technical University of Munich (TUM) and the Director of the TUM Institute for Ethics in Artificial Intelligence (IEAI). He is a Distinguished Visiting Professor of Tokyo University and has held further visiting positions at Harvard, Stockholm, Taipei and Kyoto. He has a background both in philosophy as well as business informatics. In 2007, he was awarded a Heisenberg Fellowship by the German Research Foundation. His most recent books are: “Business Ethics and Digitization” (Metzler, 2022, with coauthors), “Evolving Business Ethics” (Metzler, 2022, with M. Thejls Ziegler), “An Introduction to Ethics in Robotics and AI” (Springer, 2021, with coauthors) and “Business Ethics: An Economically Informed Perspective” (Oxford University Press, 2021, with Matthias Uhl).

Ilaria Muller

I obtained my Medical Degree (2007) and Specialisation in Endocrinology (2013) at the University of Pisa (Italy). I then spent 6 years at Cardiff University (United Kingdom), where I awarded a PhD in Molecular Endocrinology (2016).

Thanks to a prestigious fellowship awarded by the Italian Ministry of University and Research (Rita Levi Montalcini Programme for Young Researchers), in 2021 I have been appointed as tenure-track assistant professor in Endocrinology at the University of Milan, Italy.

I strongly believe in sound, rigorous and independent scientific research. “Prevention is better than cure”: my biggest goal would be to reveal pathological mechanisms underlying autoimmunity, aiming to disease prevention or mitigation, rather than chronic therapy development.

In particular, I investigate thyroid autoimmunity with a “from bench to bedside” approach and my current most active research fields are:

– Graves’ disease (autoimmune hyperthyroidism) and Thyroid Eye Disease (an ophthalmological complication of thyroid autoimmunity, especially Graves’ disease): immunological characterisation and connections with the microbiota
– Thyroid dysfunctions related to SARS-CoV-2 infection and Covid-19 vaccination
– The relationship between thyroid autoimmunity and breast cancer
– Thyroid disorders induced by immune reconstitution treatment (i.e. alemtuzumab therapy for multiple sclerosis)
– The impact of levothyroxine treatment for suboptimal gestational thyroid function

Rosa Bernardini Papalia

Rosa Bernardini Papalia is Full Professor of Economic Statistics, Member of the Teaching Board of the PhD in Statistics, Department of Statistical Sciences, University of Bologna, Member of Research Associates of the Info-Metrics Institute, American University, Washington DC, USA; Scientific coordinator for UNIBO University of Bologna of European Research Project,: “BlueEnterprise and Trade Statistics- (BLUE-ETS)” with several participation in National and International research projects.

Her main area of research is information, information processing and optimal decision rules based on efficient use of information (Info-Metrics). Her current research interests are focused on Quantum Physics and Information Physics in application of statistical analysis and in a multidiscipline research approach.

Selected Publications:

Bernardini Papalia, R., & Fernandez Vazquez, E. (2020). Entropy-based solutions for ecological inference problems: A composite estimator. Entropy, 22, 781, 1-12.

Bernardini Papalia, R., & Fernandez Vazquez, E. (2020). Forecasting socio economic distributions on small area spatial domains for count data. In Advances in info-metrics information and information processing across disciplines, pp. 240–263. New York: Oxford University Press.

Bernardini Papalia, R. & Fernandez Vazquez, E. (2018). Information theoretic methods in small domain estimation. Econometric Reviews, 37, 347-359.

Bernardini Papalia, R., & Bertarelli, S. (2015). Trade costs in bilateral trade flows: Heterogeneity and zeroes in structural gravity models. World Economy, 38(11), 1744-1762.

Bernardini Papalia, R., Calia, P., & Filippucci, C. (2015). Information theoretic competitiveness composite indicator at micro level. Social Indicators Research, 123, 349-370.

David Papineau

David Papineau is Professor of Philosophy at King’s College London. He has been President of the Mind Association, the Aristotelian Society and the British Society for Philosophy of Science. His books include Theory and Meaning (1980), Philosophical Naturalism (1992), Philosophical Devices (2012), Knowing the Score (2017) and The Metaphysics of Sensory Experience (2021). He is currently working on causation.

Selected Publications:

Papineau, D. (ms). The causal structure of reality. Retrieved from https://www.davidpapineau.co.uk/uploads/1/8/5/5/18551740/the_causal_structure_of_reality_ver_2_phscarch.pdf

Papineau, D. (2022). The statistical nature of causation. The Monist, 105(2), 247-275.

Papineau, D. (2013). Causation is macroscopic but not irreducible. In S. Gibb & E. Lowe (Eds.), Mental causation and ontology, pp. 126-152. Oxford: Oxford University Press.

Jacopo Parravicini

J. P. is Junior Assistant Professor (RTDA) at the Department of Physics & Astronomy at University of Firenze (Italy).

He received his “Laurea” M.D. in Physics in 2006, magna cum laude, from the University of Milan, discussing an experimental thesis in matter physics. During his Ph.D. in Photonics, held at the University of Pavia, he studied nonlinear optical materials for photonic applications.

In 2008 he won the “A. Righi” prize of the Italian Physical Society. In 2010 he was “chercheur contractuel” (contract researcher) at the Université de Franche-Comté (Besançon, France). Afterwards he became “Young Researcher” at the University of L’Aquila (L’Aquila, Italy) and, subsequently, he was affiliated to the Physics Department of the “Sapienza”, University of Roma as “Young Researcher”. Since 2010 to 2013 he was a member of the IPCF-CNR, Institute for Chemical and Physical Processes of National Research Council of Italy. Since 2016 to 2020 he was research fellow at Material Science Department of Milano-Bicocca University; there he was dealing with materials for photovoltaic applications. Between 2018 and 2021 he was adjunct professor of teaching and history of Physics within the M.D. course in Mathematics of the Milano-Bicocca University. Between 2020 and 2021 he was also member of the Grant Writing Office of the same University. In 2020 he received an invited external fellowship by Erasmus Centre for Innovation of Erasmus University Rotterdam. Since 2021 he is member of the European Laboratory for Non-Linear Spectroscopy and, since 2022, he is associate member of National Institute of Optics of Italian CNR.

Presently He is teaching General Physics for B.D. in Chemistry and Foundations of Experimental Physics for Ph.D. in Physics in his University.

His present research activity includes six main topics: 1) propagation phenomena in nonlinear optics regime; 2) optical and dielectric properties of disordered and out-of-equilibrium systems; 3) phase transitions by means of spectroscopic investigation techniques, including the development of a new technique to investigate the state-of-order through dielectric measurements; 4) materials and techniques for photovoltaic applications; 5) experimental quantum simulations through ultracold fermionic gases; 6) foundation elements of Physics, Mathematics, and Natural Sciences.

JP is a member of the Italian Physical Society (SIF), European Physical Society (EPS), and Optical Society of America (OSA), whose he is “Senior Member” since 2019.

Andrés Perea

I work on the foundations of game theory and decision theory, with a special emphasis on epistemic game theory. I have written a textbook called “Epistemic Game Theory: Reasoning and Choice” which has been published by Cambridge University Press in 2012. Currently, I am working on a new textbook called “From Decision Theory to Game Theory: Reasoning about Decisions of Others”. I am an associate editor at the International Journal of Game Theory. I am a founding member of the EpiCenter, a research group on epistemic game theory. With the EpiCenter we give every year a two-week course on epistemic game theory for students and researchers all over the world.

Selected Publications:

Bach, C., & Perea, A. (2023). Structure-preserving transformations of epistemic models, Economic Inquiry. doi:10.1111/ecin.13136

Milano, S., & Perea, A. (2023). Rational updating at the crossroads. Economics and Philosophy. doi:10.1017/S0266267122000360

Jagau, S., & Perea, A. (2022). Common belief in rationality in psychological games: Belief-dependent utility and the limits of strategic reasoning. Journal of Mathematical Economics, 100. doi:10.1016/j.jmateco.2022.102635

Perea, A. (2022). Common belief in rationality in games with unawareness. Mathematical Social Sciences, 119, 11-30.

Bach, C., & Perea, A. (2021). Incomplete information and iterated strict dominance.
Oxford Economic Papers, 73, 820-836.

Marco Piangerelli

Marco Piangerelli is Research Fellow in Computer Science at the Computer Science Division of the University of Camerino. His main research interests focus on self-Adaptive Systems, Topological Data Analysis, Unsupervised machine learning and AI. He also works on Data Science in Manufacturing and Bio Sciences. He has experience in Technological transfer projects and actively collaborates with international and national companies (INGKA, Schnell S.p.A., Sigma S.p.A., and Nuova Simonelli S.P.A.). In 2024, he will be a Visiting Researcher at Addis Ababa University (Ethiopia) to work on topics related to his research fields.

Selected Publications:

Ciccarelli, M., Corradini, F., Germani, M., Menchi, G., Mostarda, L., Papetti, A., & Piangerelli, M. (2022). SPECTRE: A deep learning network for posture recognition in manufacturing. Journal of Intelligent Manufacturing.

De Simone, A., & Piangerelli, M. (2020). A Bayesian approach for monitoring epidemics in presence of undetected cases. Chaos, Solitons and Fractals, 140, 110167.

Piangerelli, M., Maestri, S., & Merelli, E. (2020). Visualising 2-simplex formation in metabolic reactions. Journal of Molecular Graphics and Modelling, 2020, 97.

Vito, L., Marcelli, E., Piangerelli, M., De Leone, R., Pucciarelli, S., & Merelli, E. (2020). Machine learning models predicting multidrug resistant urinary tract infections using “DsaaS”. BMC Bioinformatics, 21, 347.

Piangerelli, M., Rucco, M., Tesei, L., & Merelli, E. (2018). Topological classifier for detecting the emergence of epileptic seizures. BMC research notes.

Miklós Rédei

M. Rédei is professor of philosophy in the Department of Philosophy, Logic and Scientific Method at the London School of Economics and Political Science (LSE). His research area is philosophy and foundations of modern physics, especially quantum theory, and he worked on probabilistic causality and on foundations of classical and quantum probability. Professor Redei also did extensive research on John von Neumann’s life and work. He is the author of “Quantum logic in Algebraic Approach” (Kluwer, 1998); with two co-authors published the book “The Principle of the Common Cause” (Cambridge University Press, 2013) and edited several volumes, including “John von Neumann: Selected Letters” (American Mathematical Society and London Mathematical Society, 2015). He was chair, co-chair and steering committee member of three major European Science Foundation grants that provided opportunities to develop philosophy of science in Europe in the period 2003-2013. He is a founding members of the European Philosophy of Science Association (EPSA) and was elected to serve on the EPSA Steering Committee of EPSA. Professor Redei received the Carl-Friedrich Siemens Research Award from the Alexander von Humboldt Foundation in 2018, which he used to stay in MCMP during the 2018-2019 academic year. He was a Visiting Fellow and Fulbright Scholar at the Center for Philosophy of Science in Pittsburgh, U.S.A.; he was a Senior Resident Fellow at the Dibner Institute for History of Science and Technology at MIT; and he had visiting positions in the Foundations of Physics Group in Utrecht, the Netherlands, and in the Department of Logic and Philosophy of Science at the University of California at Irvine, U.S.A. For further information see his webpage.

Selected Publications:

M. Rédei, M. Gömöri: “Entropic taming of the Look Elsewhere Effect” Synthese 203 (2024)

M. Rédei, Z. Gyenis: “The Maxim of Probabilism, with special regard to Reichenbach” Synthese 199 (2021) 8857-8874

M. Rédei, Z. Gyenis: “Having a look at the Bayes Blind Spot” Synthese 198 (2021) 3801–3832

M. Rédei: “On the tension between physics and mathematics” Journal for General Philosophy of Science 51 (2020) 411-425

Z. Gyenis, M. Rédei: “The modal logic of Bayesian belief revision” Journal of Philosophical Logic 48 (2019) 809-824

Julian Reiss

Julian Reiss is Professor and Head of the Institute of Philosophy and Scientific Method at Johannes Kepler University Linz. He has a degree in economics and finance from the University of St Gallen and a PhD in philosophy from the London School of Economics. His main research interests are methodologies of the sciences (especially causality and causal inference, models, simulations and thought experiments, and counterfactuals), philosophy of economics, and science and values. He is the author of Error in Economics: Towards a More Evidence-Based Methodology (2008), Philosophy of Economics: A Contemporary Introduction (2013), Causation, Evidence, and Inference (2015), and some 70 papers in leading philosophy and social science journals and edited collections. In 2022, he was elected to be a member of the German Academy of Sciences Leopoldina.

Benedetto Rocchi

Benedetto Rocchi is associate professor at the University of Florence, where he teaches
Agricultural Economics. In 2005 he spent a period at the Department of Agricultural and Food Economics, University of Reading (UK) as a Visiting Academic. On 2006 he was Visiting Researcher at the Regional Institute of Economic Planning, Florence (IT). From 2009 to 2011 joined with the editorial committee for the revision of the UN Statistic Division’s Handbook on Rural Household’s Livelihood and Well-Being. He is member of the Italian Association of Agricultural and Applied Economics and of the European Association of Agricultural Economists. His main fields of research are the analysis of agricultural policy and the economics of rural development and food supply chain. More recently he studied the impact non-renewable resource abundance on regional development, the impact of economic activities on resource use, the economics of alternative food supply chains and the social consequences of collective choices in bioethics.

Selected Publications:

Rocchi, B., Viccaro, M., Sturla, G. 2024. An input-output hydro-economic model to assess the economic pressure on water resources. Biobased and Applied Economics. Just Accepted, https://oaj.fupress.net/index.php/bae/article/view/14957.

Marino M., Rocchi, B., Severini, S. 2023. Assessing the farm–nonfarm households’ income gap along the income distribution in the European Union. Journal of Common Market Studies, first on line April 2023: http://doi.org/10.1111/jcms.13494

Rocchi B., Romano D., Sadiddin A. e Stefani G. 2020. Assessing the economy ‐ wide impact of food fraud: A SAM ‐ based counterfactual approach. Agribusiness, 36: 167-1919. DOI:10.1002/agr.21633.

Rocchi B., Randelli F., Corsini L., Giampaolo S. 2020. Rocchi B., Randelli F., Corsini L. and
Giampaolo S. 2019. Farmer direct selling: the role of regional factors. Regional Studies. 54(8): 1112-1122. https://doi.org/10.1080/00343404.2019.1676887.

Rocchi B. 2019. Il bambino nella filiera procreatica. Profiling. I profili dell’abuso. 10(4).
https://www.onap-profiling.org/il-bambino-della-filiera-procreatica/.

Rocchi, B. 2013. Why should the baby live? Human right to life and the precautionary principle. Journal of Medical Ethics, 39: e6–e10. doi:10.1136/medethics-2012-100735. ISSN:0306-6800.

Rocchi, B. 2011. Qualità e valore della vita: una messa a punto. Ragion Pratica, 36: 259-274. ISBN: 978-88-15-14757-8. DOI: 10.1415/34421

Jan-Willem Romeijn

I am a professor of philosophy of science at the Faculty of Philosophy of the University of Groningen in the Netherlands.

My research revolves around probability theory and scientific method. Topics of specific interest are statistical inference, inductive logic, formal and social epistemology, and causal and probabilistic modelling. I have an interest in general philosophy of science, but most of my work work relates to methodological problems in specific sciences, in particular psychiatry. I collaborate with a wide variety of disciplines in the humanities and the exact, social and medical sciences, and I provide advice on uncertain reasoning and social deliberation in judicial and policy contexts.

I studied at Utrecht University, where I graduated cum laude in both physics and philosophy. After that I worked as a financial consultant for two years. From 2000 to 2004 I worked on a doctorate in philosophy at the University of Groningen, for which I graduated cum laude in 2005. The first two years after that I lectured in philosophy of science and statistics at the Psychology Department of the University of Amsterdam. Until 2009 I carried out a research project on the intersection of cognitive psychology and philosophy of science in the University of Groningen. Between 2011 and 2016 I worked on a research project concerning single-case chance and statistics, alongside a role as lecturer and head of department. From 2020 until 2022 I served as dean of the Faculty of Philosophy. More information can be found on my personal webpage.

Selected Publications:

Romeijn, J.-W. (2020). An interpretation of weights in linear opinion pooling. Episteme. doi:10.1017/epi.2020.45

Heesen, R., & Romeijn, J.-W. (2019). Epistemic diversity and editor decisions. Philosophical Imprint, 19(39).

van Loo, H. M., & Romeijn, J.-W. (2019). What’s in a model? Network models as tools instead of representations of what psychiatric disorders really are. Behavioral and Brain Sciences, 42, E30. doi:10.1017/S0140525X18001206

Romeijn, J.-W. (2018). Intervention and identifiability in latent variable modelling. Minds and Machines, 28(2), 243-264.

Romeijn, J.-W. (2017). Inherent complexity: A problem for statistical model evaluation. Philosophy of Science, 84(5), 797-809.

Lorenzo Rossi

I am an Assistant Professor (RTD-A) at the University of Turin, Department of Philosophy and Education Sciences, Center for Logic, Language, and Cognition (LLC).

My areas of specialization are Logic, Philosophy of Language, Philosophy of Mathematics, and Epistemology, and I have serious interests in the History of Modern Philosophy as well.

I work on truth, paradox, and the foundations of semantics, conditionals, quantifiers and absolute generality, vagueness, the logic of grounding, many-valued and sub-structural logics.

Before joining the LLC and the University of Turin, I studied at the University of Florence (BA Philosophy, 2009; MA Logic, Philosophy and History of Science, 2011), at the University of Oxford (DPhil Philosophy, 2017), I was a post-doc at the Department of Philosophy (KGW), University of Salzburg, in the FWF-project The Liar and its Revenge in Context, and I was Assistant Professor at the Munich Center for Mathematical Philosophy (MCMP), LMU Munich.

Andrea Saltelli

Andrea Saltelli has worked on physical chemistry, environmental sciences, applied statistics, impact assessment and science for policy. His main disciplinary focus is on sensitivity analysis of model output, a discipline where statistical tools are used to interpret the output from mathematical or computational models, and on sensitivity auditing, an extension of sensitivity analysis to the entire evidence-generating process in a policy context. He has been at the European Commission, leading between 2005 and 2015 a unit of econometrics and applied statistics. He is presently visiting researcher at the Centre for the Study of the Sciences and the Humanities (SVT) – University of Bergen (UIB), associate senior researcher at Institute for Cognitive Sciences and Technologies of the Italian National Research Council (CNR) and academic counselor at UPF Barcelona School of Management. His most recent papers have tackled sensitivity analysis and auditing, science’s reproducibility crisis, impact assessment, ethics of quantification, regulatory capture, rankings of higher education, and the post-truth discussion. Andrea gives courses in sensitivity analysis, sensitivity auditing, science integrity, and ethics of quantification.

Selected Publications:

Saltelli, A., & Di Fiore, M. (Eds.) (2023). The politics of modelling: Numbers between science and policy. Oxford: Oxford University Press.

Saltelli, A., Kuc-Czarnecka, M., Lo Piano, S., Lőrincz, M. J., Olczyk, M., Puy, A., Reinert, E., Thor Smith, S., & van der Sluijs, J. P. (2023). Impact assessment culture in the European Union: Time for something new? Environmental Science & Policy, 142, 99-111.

Saltelli, A., & Puy, A. (2023). What can mathematical modelling contribute to a sociology of quantification? Humanities and Social Sciences Communications, 10, 213.

Saltelli, A., Dankel, D. J., Di Fiore, M., Holland, N., & Pigeon, M. (2022). Science, the endless frontier of regulatory capture. Futures, 135, 102860.

Saltelli, A., Bammer, G., Bruno, I., Charters, E., Di Fiore, M., Didier, E., Nelson Espeland, W., Kay, J., Lo Piano, S., Mayo, D., Pielke, R. J., Portaluri, T., Porter, T. M., Puy, A., Rafols, I., Ravetz, J. R., Reinert, E., Sarewitz, D., Stark, P. B., Stirling, A., van der Sluijs, J. P., & Vineis, P. (2020). Five ways to ensure that models serve society: A manifesto, Nature, 582, 482-484.

Emma Sarno

Emma Sarno is associate professor in Statistics at the University of Naples “L’Orientale”. She has a multidisciplinary background: graduated in Political Science at the University of Naples “Federico II”, received a Diploma in Statistics from the Centro di Ricerche Economico Agrarie per il Mezzogiorno di Portici (Naples), and Warwick University (UK). She was visiting scholar at Duke University (USA). In the past, she worked as a lecturer at the University of Naples “Federico II”, as an associate professor at the University of Calabria. At the University of Naples “L’Orientale”, she was director of the International Doctorate in Women’s and Gender History and responsible the Erasmus Mundus Project “Battuta”. She published in the field of either theoretical or applied statistics, with a special attention to inference, Bayesian and classical time series analysis, social network analysis. On recent empirical works, she focused on digital innovation and educational poverty, gender statistics and Covid-19 mortality.

Selected Publications:

Sarno, E. (2022). Innovation technology and education: New opportunities or new inequalities? The Italian experience, Journal of Performance Management, 1(1), 41-54.

Papi, L., Sarno, E., & Zazzaro, A. (2018). The geographical network of bank organizations: Issues and evidence for Italy. In R. Martin & J. Pollard (Eds.), Handbook on the geographies of money and finance, pp. 156-196. Edward Elgar Publishing.

Sarno, E. (2017). Análisis de redes sociales e historia contemporánea. Ayer, 105(1), 23-50.

Gerhard Schurz

Gerhard Schurz is senior professor for philosophy at the HHU (Heinrich Heine University) Düsseldorf, member of the Leopoldina (German national academy of sciences) and of the International Academy for Philosophy of Science (AIPS). From 3/2002 to 2/2022 he held the chair of theoretical philosophy at the HHU Düsseldorf; before he was Associated Professor for philosophy at the University of Salzburg and Guest Professor at the University of California at Irvine and Yale University. His areas of research comprise philosophy of science, epistemology, logic, philosophy of evolution, and ethics of science.

Selected Publications:

Schurz G. (2019). Hume’s problem solved: The optimality of meta-induction. Cambridge, MA: MIT Press.

Schurz, G. (2019). Impossibility results for rational belief. Noûs, 53(1), 134-159.

Schurz, G. (2014). Philosophy of science: A unified approach.New York: Routledge.

Schurz, G. (2002). Ceteris paribus laws: Classification and deconstruction. Erkenntnis, 57(3), 351-372.

Schurz, G. (1997). The is-ought problem: An investigation in philosophical logic. Trends in Logic Vol. 1: Studia Logica Library. Dordrecht: Kluwer.

Teddy Seidenfeld

Teddy Seidenfeld (H. A. Simon University Professor of Philosophy and Statistics) works on foundations at the interface between philosophy and statistics, often being concerned with problems that involve multiple decision makers. For example, in a longstanding collaboration with M.J. Schervish and J.B. Kadane (Statistics, CMU), they relax the norms of Bayesian theory to permit a unified standard, both for individuals acting as separate decision makers and collectively, in forming a cooperative group agent. By contrast, this is an impossibility for strict Bayesian theory. In collaboration with Larry Wasserman (Statistics, CMU), they examine the short-run consequences of using Bayes rule for updating a set of expert Bayesian opinions with shared information. They focus on anomalous cases (they call dilation), where an experiment is certain to result in new evidence that increases the experts: uncertainty about an event of common interest where uncertainty is reflected in the extent of probabilistic disagreements among the experts.

Other collaborations with Kadane and Schervish include a theory for indexing the degree of incoherence in non-Bayesian statistical decisions, work on the representation of coherent choice-functions using sets of probabilities, and investigations involving scoring rules for probabilistic forecasts. The three also work together on the development of finitely additive expectations, in games and in decisions.

Selected Publications:

Seidenfeld, T., Schervish, M. J., & Kadane, J. B. (2019). Coherent choice functions under uncertainty. Synthese 172, 157–176.

Schervish, M. J., Seidenfeld, T., & Kadane, J. B. (2009). Proper scoring rules, dominated forecasts, and coherence. Decision Analysis 6(4), 202-221.

Seidenfeld, T., Schervish, M. J., & Kadane, J. B. (1995). A representation of partially ordered preferences. Ann. Statist. 23(6), 2168-2217

Seidenfeld, T., & Wasserman, L. (1993). Dilation for sets of probabilities.
Ann. Statist. 21(3): 1139-1154.

Schervish, M. J., Seidenfeld, T., & Kadane, J. B. (1990). State-dependent utilities. J. American Statistical Association, 85(411), 840-847.

Dunja Šešelja

I’m a Professor for Social Epistemology and Reasoning in Science at the Institute for Philosophy II, Ruhr University Bochum (RUB). I am also a member (in the role of an Assistant Professor for Philosophy of Science and Technology, on 25%) of the Philosophy & Ethics Group at TU Eindhoven. Together with Christian Straßer I lead the Research Group on Reasoning, Rationality and Science at RUB. I serve as an Editor-in-Chief of the European Journal for Philosophy of Science. My areas of expertise are social epistemology and philosophy of science, in particular formal modeling of scientific inquiry, social epistemology of scientific disagreements and controversies, and integrated history and philosophy of science.

Info about our research network on Simulations of Scientific Inquiry, funded by the DFG, can be found on this link: https://www.ssi.philosophie.uni-muenchen.de/index.html

Previously, I held visiting professorships at the University of Vienna and Ghent University, and postdoc positions at Ghent University, Ruhr-University Bochum, and at MCMP, LMU Munich (with which I am still affiliated as an external member), and served as a Steering Committee member of the European Philosophy of Science Association (EPSA). Before taking the position at Ruhr University Bochum, I worked as an assistant professor at TU Eindhoven on a tenure track.

Glenn Shafer

Glenn Shafer is Professor at the Rutgers Business School – Newark and New Brunswick. He obtained his Ph.D. in mathematical statistics in 1973 from Princeton University. During is academic life he made numerous contributions to mathematics, statistics, and finance. He is one of the founding fathers of the Dempster-Shafer-Theory, which is a mathematical framework for modelling epistemic uncertainty. Among his most recent books “Probability and Finance: It’s Only a Game!” (2001, co-authored by Vladimir Vovk) provides a foundation for probability based on game theory rather than measure theory. “Algorithmic Learning in a Random World” (2005), a joint work with Vladimir Vovk and Alex Gammerman, describes how several important machine learning problems, such as density estimation in high-dimensional spaces, cannot be solved if the only assumption is randomness. Glenn Shafer has research interests in a great number of fields which led to publications in journals in statistics, philosophy, history, psychology, computer science, economics, engineering, accounting, and law.

Vlasta Sikimić

Vlasta Sikimić is a Research Fellow at the University of Tübingen. Currently, she is working on the project “Ethics, Privacy and Fairness in Digital Educational Environments”, a collaborative project between the Hector Research Institute of Education Sciences and Psychology and the Cluster of Excellence – Machine Learning for Science.

Her research focus is on philosophy of AI, empirical philosophy, social epistemology, and science policy. The aim of her research is to understand how we reason from a group perspective and how AI is changing our learning process. Through her research and dissemination activities she advocates for inclusive science.

Selected Publications:

Sikimić, V., & Radovanović, S. (2022). Machine learning in scientific grant review: Algorithmically predicting project efficiency in high energy physics. European Journal for Philosophy of Science. doi:10.1007/s13194-022-00478-6

Sikimić, V., Damnjanović, K., & Perović, S. (2022). (Dis)satisfaction of female and early-career researchers with the academic. Journal of Women and Minorities in Science and Engineering. doi:10.1615/JWomenMinorScienEng.2022038712

Sikimić, V., & Herud-Sikimić, O. (2022). Modeling efficient team structures in biology. Journal of Logic and Computation. doi:10.1093/logcom/exac021

Sikimić, V. (2022). How to improve research funding in academia? Lessons from the COVID-19 crisis. Frontiers in Research Metrics and Analytics. doi:10.3389/frma.2022.777781

Sikimić, V., Nikitović,T., Vasić, M., & Subotić, V. (2021). Do political attitudes matter for epistemic decisions of scientists? Review of Philosophy and Psychology. doi:10.1007/s13164-020-00504-7

Elliot Sober

Elliott Sober is Hans Reichenbach Professor of Philosophy and William F. Vilas Research Professor at University of Wisconsin-Madison. His research is in the philosophy of science, especially in the philosophy of evolutionary biology. In philosophy of biology, he has worked on the units of selection problem and on phylogenetic inference. In more general philosophy of science, he has worked on the conflict between Bayesianism and Frequentism, on the role of parsimony in scientific reasoning, on realism and instrumentalism, animal cognition, causality, explanation, and reductionism. Sober’s books include The Nature of Selection (1984), Reconstructing the Past – Parsimony, Evolution, and Inference (1988), Philosophy of Biology (1993), Unto Others — The Evolution and Psychology of Unselfish Behavior (1998, coauthored with David Sloan Wilson), Evidence and Evolution – the Logic Behind the Science (2008), Did Darwin Write the Origin Backwards? (2011), Ockham’s Razors – A User’s Manual (2015), The Design Argument (2018), and Philosophy of Evolutionary Theory (2024). Sober won the Lakatos Prize in 1991. He became a fellow the American Academy of Arts and Sciences in 1999. In 2008, the American Philosophical Association named him Prometheus Laureate. In 2014, the Philosophy of Science Association gave him the Carl Gustav Hempel Award. In 2020, he was elected a corresponding member of the British Academy. He was awarded the inaugural PhilInBioMed Prize in 2023. Sober has been president of the Philosophy of Science Association, the American Philosophical Association (Central Division), and the International Union for History and Philosophy of Science and Technology (Division of Logic, Methodology, and Philosophy of Science and Technology).

Jan Sprenger

Jan Sprenger is Professor of Logic and Philosophy of Science at the Department of Philosophy and Education at the University of Turin. He is also affiliated to the interdisciplinary Center for Logic, Language and Cognition (LLC). Before coming to Turin, Jan worked for almost ten years at Tilburg University in the Netherlands, first as an Assistant Professor (2008-13) and then as Full Professor and Scientific Director of the research institute TiLPS (2014-17). He obtained his PhD from the University of Bonn for a thesis on the foundations of inductive inference (2008). Jan works mainly on topics in philosophy of science, with particular interest in statistical inference, scientific objectivity, and formal models of explanation and causation. Since recently, his research interests also include conditional logic and conditional reasoning.

Selected Publications:

van Dongen, N., Sprenger, J. & Wagenmakers, E.-J. (forthcoming). A Bayesian perspective on severity: Risky predictions and specific hypotheses. Psychonomic Bulletin and Review.

Romero, F., & Sprenger, J. (2021): Scientific self-correction: The Bayesian way. Synthese, 198, 5803-5823.

Reiss, J., & Sprenger, J. (2020) Scientific objectivity. In E. Zalta (Ed.), Stanford Encyclopedia of Philosophy (Winter 2020 edition), Metaphysics Research Lab, Stanford University, Stanford/CA. Substantial revision of the original 2014 version.

Sprenger, J. (2020): Conditional degree of belief and Bayesian inference. Philosophy of Science, 87, 319-335.

Sprenger, J., & Hartmann, S. (2019): Bayesian philosophy of science. Oxford: Oxford University Press.

Jacob Stegenga

Jacob Stegenga is a Professor in the Department of History and Philosophy of Science at the University of Cambridge. He has published widely on fundamental topics in reasoning and rationality and philosophical problems in medicine and biology. Prior to joining Cambridge he taught in the United States and Canada, and he received his PhD from the University of California San Diego. He is the author of Medical Nihilism and Care and Cure: An Introduction to Philosophy of Medicine, and he is currently writing a book on the sciences of sexual desire.

Borut Trpin

Borut Trpin is a postdoctoral researcher at the Munich Center for Mathematical Philosophy, LMU Munich and a scientific collaborator at the Department of Philosophy, University of Maribor. Before that, he obtained a PhD degree (2018) in philosophy at the University of Ljubljana, and was a postdoctoral fellow at the Department of Philosophy (KGW) at the University of Salzburg. He is a founding member of the East European Network for Philosophy of Science and an associate editor of Acta Analytica.

Borut’s main research interests are in formal epistemology and philosophy of science and especially their intersections. Some of the topics that particularly interest him are theories of epistemic justification applied to philosophy of science, models of human reasoning, and scientific disagreements. He likes to use computer simulations for philosophical research.

Selected Publications:

Trpin, B. (2023). Against methodological gambling. Erkenntnis, 88(3), 907-927.

Trpin, B., Dobrosovestnova, A., & Götzendorfer, S. J. (2021). Lying, more or less: A computer simulation study of graded lies and trust dynamics. Synthese, 199, 991-1018.

Trpin, B. (2020). Jeffrey conditionalization: Proceed with caution. Philosophical Studies, 177(10), 2985-3012.

Trpin, B., & Pellert, M. (2019). Inference to the best explanation in uncertain evidential situations. The British Journal for the Philosophy of Science. 70(4), 977-1001.

Giovanni Valente

I am an associate professor in Logic and Philosophy of Science in the Department of Mathematics at the Politecnico di Milano, where I moved after working at the University of Pittsburgh. My main research focuses on the philosophy and foundations of physics. In particular, I deal with the interpretation of quantum probability, the issues of causality, ontology and symmetry-breaking in relativistic quantum field theory, and the problem of irreversibility in thermodynamics and statistical mechanics. In addition, I work on various philosophical issues arising in other fields of science, especially economics, statistics, climate science and evidence-based medicine. I also have keen interests in broader topics of philosophy of science, such as time, probability, models, inter-theoretical reduction, scientific reasoning and public policy-making.

I obtained my PhD at University of Maryland, College Park, in 2009. Throughout my career, I have spent extended periods of study under visiting fellowships and external grants in several universities and research centers around the world, most notably in Oxford, Budapest, Tilburg, Princeton, Paris, Irvine, Sydney, Utrecht, Cambridge, Munich, Salzburg and Vienna.

In 2014 I received the Cushing Prize in History and Philosophy of Physics. I have also been the recipient of a Humboldt Research Fellowship for Experienced Researchers, a FWF grant under the Lise Meitner Programme and a PRIN 2017 grant.

I am a member of the Steering Committee of the inter-departmental unit of study META devoted to develop the philosophy and sociology of science and technology at the Politecnico di Milano. I am also one of the founders and coordinators of the Irvine-London-Munich-PoliMi-Salzburg Network in philosophy and foundations of physics, which aims at fostering the collaboration between faculty, researchers and students based in the five schools.

Eric-Jan Wagenmakers

Prof. dr. Eric-Jan Wagenmakers is a mathematical psychologist and a dedicated Bayesian. His lab heads the development of the JASP open-source software program for statistical analyses (www.jasp-stats.org). Prof. Wagenmakers is a strong advocate of Open Science and the preregistration of analysis plans. He has also authored the book “Bayesian Thinking for Toddlers” (https://psyarxiv.com/w5vbp/), which is a must-have for any toddler with even a passing interest in Ockham’s razor and the prequential principle. For more information see www.ejwagenmakers.com.

Selected Publications:

Hardwicke, T. E., & Wagenmakers, E.-J. (2023). Reducing bias, increasing transparency and calibrating confidence with preregistration. Nature Human Behaviour, 7, 15-26.

Wagenmakers, E.-J., Sarafoglou, A., & Aczel, B. (2022). One statistical analysis must not rule them all. Nature, 605, 423-425.

Wagenmakers, E.-J., Sarafoglou, A., Aarts, S., Albers, C., Algermissen, J., Bahnik, S., van Dongen, N., Hoekstra, R., Moreau, D., van Ravenzwaaij, D., Sluga, A., Stanke, F., Tendeiro, J., & Aczel, B. (2021). Seven steps toward more transparency in statistical practice. Nature Human Behaviour, 5, 1473-1480.

Wagenmakers, E.-J., Marsman, M., Jamil, T., Ly, A., Verhagen, A. J., Love, J., Selker, R., Gronau, Q. F., Šmíra, M., Epskamp, S., Matzke, D., Rouder, J. N., Morey, R. D. (2018). Bayesian inference for psychology. Part I: Theoretical advantages and practical
ramifications. Psychonomic Bulletin & Review, 25, 35-57.

Lee, M. D., & Wagenmakers, E.-J. (2013). Bayesian cognitive modeling: A practical course. Cambridge University Press.

Gregory Wheeler

Jon Williamson

Jon Williamson works on philosophy of science, medicine and law, the philosophy of causality, the foundations of probability, formal epistemology and inductive logic. He is Professor of Reasoning, Inference and Scientific Method at the University of Kent. He is currently developing Evidential Pluralism, which is a new approach to the methodology of causal inference. He has applied this to medicine (see Evaluating evidence of mechanisms in medicine, Springer 2018) and the social sciences (Evidential Pluralism in the social sciences, Routledge 2023), and is currently applying it to the law. He has developed a new version of the objective Bayesian theory of probability (In defence of objective Bayesianism, OUP 2010) and an analogous epistemic theory of causality (Bayesian nets and causality, OUP 2005). He is also interested in inductive logic: his book Lectures on inductive logic, OUP 2017, put forward a new Bayesian theory of inductive logic, while Probabilistic logics and probabilistic networks, Springer 2011, developed a unifying framework for probabilistic logics. See https://blogs.kent.ac.uk/jonw/ for more information.

James F. Woodward

James Woodward is a philosopher of science who works on causation and explanation, among many other issues. He is emeritus Distinguished Professor in the Department of History and Philosophy of Science at the University of Pittsburgh and also J. O. and Juliette Koepfli Professor, emeritus at the California Institute of Technology. He is a fellow of the American Academy of Arts and Sciences and the American Association for the Advancement of Science and a former president of the Philosophy of Science Association.

Selected Publications:

Woodward, J. F. (forthcoming). Sketch of some themes for a pragmatic philosophy of science. In H. K. Andersen, & S. D. Mitchell (Eds.), The pragmatists challenge. Oxford: Oxford University Press.

Woodward, J. F. (2021). Causation with a human face: Normative theory and descriptive psychology. Oxford: Oxford University Press.

Woodward, J. F. (2020). Flagpoles anyone? Causal and explanatory asymmetries. Theoria, 37(1), 7-52.

Woodward, J. F. (2020). Levels: What are they and what work do they do? In K. S. Kendler, & J. Parnas (Eds.), Philosophical issues in psychiatry V: The problems of multiple levels, explanatory pluralism, reduction and emergence. Cambridge: Cambridge University Press.

Woodward, J. F. (2004). Making things happen: A theory of causal explanation. Oxford: Oxford University Press.

Alberto Zazzaro

Alberto Zazzaro is professor of economics at the Department of Economics and Statistics of University of Naples Federico II, a founding member of the MoFiR and research fellow at the CSEF and Centro Studi Luca d’Agliano. He served as President of the Società Italiana di Economia (Italian Economic Society) in the three-year period 2019-2022. His research interests are in banking, money, migration, remittances, industrial organization, family firms, economic growth, and policy evaluation. His research has been published in academic journals including the Economic Journal, Health Economics, IMF Economic Review, Italian Economic Journal, Journal of Banking and Finance, Journal of Development Economics, Journal of Economic Behavior and Organizations, Journal of Economic Geography, Journal of Economic Growth, Journal of Financial Intermediation, Journal of Financial and Quantitative Analysis, Journal of Financial Stability, Journal of Money Credit and Banking, Metroeconomica, Review of Finance, Review of Income and Wealth, Review of International Organizations, Small Business Economics, World Development. He serves in the Editorial Board of the, PSL Quarterly Review, Rivista Bancaria – Minerva Bancaria and SN – Business & Economics, and a member of the Board of Trustees of the Italian Economic Journal.

Selected Publications:

Job Protection and Mortgage Conditions: Evidence from Italian Administrative Data, with Paolo E. Mistrulli, Tommaso Oliviero and Zeno Rotondi, Oxford Bulletin of Economics and Statistics, published online, 2023.

Relationship Lending and Employment Decisions in Firms’ Bad Times, with Pierluigi Murro and Tommaso Oliviero, Journal of Financial and Quantitative Analysis, published online, 2023.

Lifting You Up or Dragging You Down? The Role of Financial Inclusion in Poverty Transitions among Italian Households, with Giulia Bettin and Claudia Pigini, Review of Income and Wealth, published online, 2023.

The Reallocation Effects of COVID-19: Evidence from Venture Capital Investments around the World, with Andrea Bellucci, Alexander Borisov and Gianluca Gucciardi, Journal of Banking and Finance, 147, article No. 106443, 2023.

Information Asymmetry, External Certification and the Cost of Debt, with Andrea Bellucci, Alexander Borisov and Germana Giombini, Journal of Corporate Finance, 78, article No. 102336, 2023.