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Roberta Sinatra is Assistant Professor at IT University of Copenhagen, and holds visiting positions at ISI (Turin, Italy) and Complexity Science Hub (Vienna, Austria). Her research is at the forefront of network science, data science and computational social science. Currently, she spends particular attention on the analysis and modeling of dynamics that lead to the collective phenomenon of success, with focus on science and art. Roberta completed her undergraduate and graduate studies in Physics at the University of Catania, Italy, and was first a postdoctoral fellow, then a research faculty at the Center for Complex Network Research of Northeastern University (Boston MA, USA). Her research has been published in general audience journals such as Nature and Science, and has been featured in The New York Times, Forbes, The Economist, The Guardian, The Washington Post, among other major media outlets.
Bernhard Voelkl is a postdoctoral researcher at the Veterinary Public Health Institute of the University of Bern, Switzerland. He studied biology and zoology at the University of Vienna receiving his PhD in 2005. He is an evolutionary ecologist who has worked with various study species (primates and birds) both in the field and the lab. The topic of his early research focused on cooperation and social information propagation in animal communities and animal social networks. He has worked as a postdoctoral researcher at the CNRS-Strasbourg, the Humboldt University at Berlin and the Edward Grey Institute of Field Ornithology at the University of Oxford. He is the scientific coordinator of Waldrappteam and elected fellow of the Royal Geographic Society. Recently he has turned his attention towards the reproducibility of preclinical animal studies and investigates how the norm of reaction affects biological variability and reproducibility of study results in biomedical animal research.
Dean Keith Simonton is Distinguished Professor Emeritus of Psychology at the University of California, Davis. After earning his 1975 Harvard doctorate in social psychology, his research has largely focused on diverse aspects of genius, creativity, leadership, talent, and aesthetics. Although he most frequently uses historiometric methods, he has also published mathematical models, computer simulations, laboratory experiments, psychometric assessments, meta-analyses, interviews, and single-case studies. The resulting output includes 14 books, 153 book chapters, 47 entries in 27 encyclopedias, and 345 contributions to 134 journals, annuals, and other periodicals. His Google i10- and h-indices stand at 259 and 75, respectively. Dr. Simonton has also received numerous honors, such as the William James Book Award, the George A. Miller Outstanding Article Award, the SPSP Theoretical Innovation Prize, and the Sir Francis Galton Award. In 2018 MIT Press put out The Genius Checklist: Nine Paradoxical Tips on How You Can Become a Creative Genius.
Staša Milojević is an Associate Professor of Informatics in the Center for Complex Network and Systems Research in the School of Informatics, Computing, and Engineering at Indiana University, Bloomington. Her work covers a range of topics within the “science of science.” She is particularly interested in understanding how dramatic changes in knowledge production, exemplified by a shift towards “team science”, interdisciplinarity, and increased pressures on productivity impact the dynamics of scientific workforce and on the overall pace of science. Her work has been published in PNAS, Scientific Reports, and Physical Review Letters. She serves on the editorial boards of Scientometrics, BioScience, and Journal of Altmetrics. She is an Associate Editor for the Quantitative Science Studies and Frontiers in Research Metrics and Analytics. She received a PhD in Information Studies from the University of California, Los Angeles.
Carole Lee is an Associate Professor in the Department of Philosophy at the University of Washington. She studies the formal and informal processes of peer evaluation that allocate limited scholarly resources such as co-authorships, publication pages, grant awards, and scientific prizes. She has worked with the National Institutes of Health and the Doris Duke Charitable Foundation to study their grant evaluation processes and published in journals reaching philosophical and broad scientific and biomedical audiences (e.g., Science, The Lancet). Her research has been supported by the National Science Foundation, the National Institutes of Health, and the Mellon and Woodrow Wilson Foundations (through a Career Enhancement Fellowship). She received First Prize for most creative submission to NIH’s Peer Review Challenge (with her collaborator Elena Erosheva).
Shirley Wang is an Assistant Professor of Medicine at Harvard Medical School and Associate Epidemiologist in the Division of Pharmacoepidemiology and Pharmacoeconomics at Brigham and Women’s Hospital. She is a pharmacoepidemiologist focused on developing innovative, non-traditional analytic methods to understand the safety and effectiveness of medication use in clinical care as well as facilitating the appropriate use of complex methods for analyzing large observational healthcare data. To that end, she has developed enhancements to epidemiologic study designs and analytic methods as well as led efforts to guide the appropriate use of complex methods for analyzing large observational healthcare data. Shirley has been involved with the US Food and Drug Administration’s Sentinel Initiative since 2011 and her methods work has been recognized with awards from two international research societies. She recently co-led a joint task force for the International Society for Pharmacoepidemiology (ISPE) and the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) focused on improving the credibility of real-world evidence for decision-makers and launched the REPEAT Initiative, a non-profit program with projects designed to improve transparency, reproducibility and ability to assess the validity of healthcare database studies. Shirley is also a writing group member for a National Academy of Medicine white paper on executing and operationalizing open science.
Cailin O’Connor is a philosopher of biology and behavioral sciences, philosopher of science, and evolutionary game theorist. She is an Associate Professor in the Department of Logic and Philosophy of Science, and a member of the Institute for Mathematical Behavioral Science at UC Irvine. She is currently administering the NSF grant Social Dynamics and Diversity in Epistemic Communities. Her book The Misinformation Age was published with Yale University Press. It has been covered in the New York Times, on Hidden Brain, and on The Open Mind. Her monograph The Origins of Unfairness will be published with OUP in summer 2019. Cailin is also a sometime science writer. When not busy doing philosophy, she is a poultry enthusiast and aerial acrobat. Her Erdos-Bacon number is 7.
Zoltan Kekecs is an assistant professor at ELTE. Earlier he worked as a post-doctor at Baylor University, Department of Psychology and Neuroscience; at Imperial College London, Patient Safety Translational Research Centre, and at Lund University, Institute of Psychology. His research focuses on the efficacy and underlying psychophysiological mechanisms of medical hypnosis. He also leads the ELTE and Lund Research Credibility Workgroups, aiming to develop tools and methodologies that can enhance the credibility of research in psychological science. His professional accomplishments have been recognized by the Early Career Achievement Award from the American Society of Clinical Hypnosis. He is also active in professional societies: Since 2018 he is a methodologist and member of the Data and Methods Committee of the Psychological Science Accelerator, and he is an elected officer of the Society for Clinical and Experimental Hypnosis. Earlier he was the treasurer of the American Psychological Association Division 30.
Marta Sales-Pardo graduated in Physics at Universitat de Barcelona in 1998 and obtained a Ph.D. in Physics from Universitat de Barcelona in 2002. She then moved to Northwestern University, where she first worked as a postdoctoral fellow and, later, as a Fulbright Scholar. In 2008, she became a Research Assistant Professor at the Northwestern University Clinical and Translational Science Institute with joint appointments in the Department of Chemical and Biological Engineering and the Northwestern Institute on Complex Systems. In 2009, she accepted her current position as in the Departament d’Enginyeria Química at Universitat Rovira i Virgili. In 2013 she received an ICREA Acadèmia Award for excellence in research.
Tim Errington is the Director of Research at the Center for Open Science (COS), a non-profit organization in Charlottesville, Virginia, USA that has a mission to increase openness, integrity, and reproducibility of scientific research. In this role, Tim collaborates with researchers and stakeholders across scientific disciplines and organizations on projects aimed to understand the current research process and to evaluate initiatives designed to increase reproducibility and openness of scientific research. Tim earned a B.S. degree in both Biology and Chemistry from St. Lawrence University, an M.A. in Molecular and Cell Biology from the University of California at Berkeley, and a Ph.D. in Microbiology, Immunology, and Cancer Biology from the University of Virginia.
Annette Brown is the Principal Economist at FHI 360, an international non-profit working to improve the health and well-being of people around the world through research and program implementation. She also serves as Editor-in-Chief, and frequently writes for, FHI 360’s R&E Search for Evidence blog. Annette’s career in international development has spanned academe, non-profits, and for-profits. For the last decade she has focused on supporting and promoting the use of high-quality evidence for programs and policy. Her current research interests include the role and practice of replication research and the systematic review of evidence across a variety of topics. She has published in numerous social science and public health journals, and recently co-guest-edited a special journal section on replication of development impact evaluations. She received a Ph.D. in Economics from the University of Michigan as a National Science Foundation Fellow and a B.A. (Phi Beta Kappa) from Grinnell College.
Michèle B. Nuijten is an Assistant Professor at the Meta-Research Center at Tilburg University, where she studies reproducibility and replicability in psychology. She received her PhD in Methodology and Statistics at Tilburg University in 2018. Her PhD thesis, titled “Research on Research: A Meta-Scientific Study of Problems and Solutions in Psychological Science”, was awarded the Tilburg University Dissertation Prize. As part of her research, Michèle co-developed the free tool statcheck; a “spellchecker” for statistics. Statcheck has gained popularity as a pre-publication check: since its launch in 2016, the web app was visited tens of thousands times, and the journals Psychological Science and the Journal of Experimental Social Psychology have made statcheck a standard element in their peer-review process. Besides her research, Michèle is closely involved with the Society for the Improvement of Psychological Science (SIPS), having been a member of the executive committee, and past-chair of the program committee. She is also part of the Program Committee Replication Research of The Netherlands Organization for Scientific Research, advising them on distributing funding for replication research.