Edouard Machery (University of Pittsburgh)
Edouard Machery is Distinguished Professor in the Department of History and Philosophy of Science at the University of Pittsburgh, the Director of the Center for Philosophy of Science at the University of Pittsburgh, a member of the Center for the Neural Basis of Cognition (University of Pittsburgh-Carnegie Mellon University), and an Adjunct Research Professor in the Institute for Social Research at the University of Michigan. His research focuses on the philosophical issues raised by psychology and cognitive neuroscience with a special interest in concepts, moral psychology, the relevance of evolutionary biology for understanding cognition, modularity, the nature, origins, and ethical significance of prejudiced cognition, the foundation of statistics, and the methods of psychology and cognitive neuroscience. He is the author of Doing without Concepts (OUP, 2009) and of Philosophy Within Its Proper Bounds (In Press, OUP) as well as the editor of The Oxford Handbook of Compositionality (OUP, 2012), La Philosophie Expérimentale (Vuibert, 2012), Arguing about Human Nature (Routledge, 2013), and Current Controversies in Experimental Philosophy (Routledge, 2014). He has been the editor of the Naturalistic Philosophy section of Philosophy Compass since 2012. He was awarded the Chancellor’s Distinguished Research Award by the University of Pittsburgh in 2011, the Stanton Prize by the Society for Philosophy and Psychology in 2013, a Senior Fellowship at the Korea Institute for Advanced Study in 2013, the Clark Way Harrison Visiting Professorship at Washington University in St. Louis in 2015, the Scots Philosophical Association Centenary Fellowship at the University of Edinburgh in 2016, and a Regular Visiting Distinguished Professorship at Eidyn (Edinburgh).
Barbara Osimani obtained a PhD degree at the University of Lugano (2007) with a thesis on the interplay between regulatory and epistemological constraints in drug approval and informed consent. Barbara has worked on several health-related network projects such as “Antibiotic Resistance” Funded by the Swiss National Science Foundation (2001-2006) and “GenEthics”, which was funded by the Italian Ministry of Research (2008-2012). She now conducts an ERC Starting Investigator Grant (2015–2020) “Philosophy of Pharmacology: Safety, Statistical Standards, and Evidence Amalgamation” at the Munich Center for Mathematical Philosophy, LMU München. Barbara has been working on foundational issues concerning the nature of medical evidence and methods for causal assessment with a special focus on pharmacology. She also has an interest in Bayesian epistemology and decision theory and has developed a model of health risk information seeking behavior. Her current research is focused on the foundations of pharmacology and evidence amalgamation.
Daniel Lakens is an assistant professor at the School of Innovation Sciences at Eindhoven University of Technology. In addition to his empirical research in cognitive psychology on conceptual meaning, he is interested in applied statistics, reward structures in science, improving research practices, and reducing publication bias. He created a highly rated and popular MOOC on Coursera, “Improving Your Statistical Inferences”, writes on methods, statistics, and open science at his blog the 20% statistician, and received an award for best teacher at Eindhoven University of Technology in 2014. He is currently working on a NWO VIDI funded project ‘Improving the reliability and efficiency of psychological science’ and is interested in helping researchers make optimal choices when designing studies, based on their resources, values, and objectives.
I am Professor in the Department of Psychology at the University of Amsterdam. I work on Bayesian inference, models of decision making, philosophy of science, and the interaction between quantitative modelling and cognitive neuroscience. Like all methodologists, I derive tremendous satisfaction from telling other people how to conduct their research. Whether it concerns cognitive modelling, Bayesian inference, or preregistration, the common theme is that the world would be a better place if only everybody embraced the new way of life. In order to make it more difficult for researchers to ignore my sage advice, my team at the University of Amsterdam have developed JASP (jasp-stats.org), an open-source alternative to expensive software packages such as SPSS.