Filter the library

profile Steven Goodman

Steven Goodman, MD, MHS, PhD is Associate Dean of Clinical and Translational Research and Professor of Medicine and Epidemiology in the Stanford School of Medicine. He is chief of the Division of Epidemiology and directs a newly established office in the School of Medicine to improve “researcher readiness” and the reproducibility of laboratory and clinical research. He is co-founder and co-director of the Meta-research Innovation Center at Stanford (METRICS), a group dedicated to examining and improving the reproducibility, integrity and efficiency of biomedical research. His research is in the methods and philosophical foundations of statistical inference, particularly the proper measurement, conceptualization and synthesis of research evidence, with an emphasis on Bayesian approaches. He also has worked on the connections between ethics and scientific methods, particularly in interventional research. Finally, he has a strong interest in developing curricula and new models for teaching the foundations of good scientific practice. Among his current national positions and recognitions included chairing the Methodology Committee of PCORI (Patient Centered Outcomes Research Institute), being awarded the 2016 Spinoza Chair in Medicine from the University of Amsterdam for his work in scientific and statistical inference, serving as scientific advisor to the national Blue Cross-Blue Shield technology assessment program and being senior statistical editor at the Annals of Internal Medicine, since 1987. Before coming to Stanford in 2011, he was at the Johns Hopkins Schools of Medicine and Public Health, where he directed their cancer center’s Division of Biostatistics and Bioinformatics and the Dept. of Epidemiology’s doctoral program.

profile Daniele Fanelli

Daniele Fanelli is a fellow in Quantitative Methodology at the London School of Economics, UK, where he teaches research methods and investigates the nature of science and possible issues with scientific evidence. He graduated in Natural Sciences, giving exams in all fundamental disciplines, then obtained a PhD studying the behaviour and genetics of social wasps, and subsequently worked for two years as a science writer. All of his postdoctoral work has been devoted to studying the nature of science itself, and the mis-behaviours of scientists. His empirical research has been instrumental in quantifying the prevalence and causes of problems that may affect research across the natural and social sciences, and it has helped develop remedies and preventive measures. In addition to his scientific work, Daniele co-chairs the Research Integrity Sub-Committee within the Research Ethics and Bioethics Advisory Committee of Italy’s National Research Council, for which he developed the first research integrity guidelines. He is also a member of the Research Integrity Committee of the Luxembourg Agency for Research Integrity (LARI), was formerly a member of Canada’s Tri-Council Expert Panel on Research integrity, and is currently rapporteur for a European Mutual Learning Exercise on Research Integrity. Before joining the London School of Economics, Daniele worked at the University of Edinburgh, UK, at the University of Montreal, CA, and at Stanford University, USA, in the Meta-Research Innovation Center @ Stanford (METRICS).