Laura Bui is a Senior Lecturer in Criminology at the University of Manchester and Chartered Psychologist. She holds a PhD from the University of Cambridge, MA from Boston University, and BA from UC Irvine. Her research examines: The psychology of violence and its biological underpinnings Metascience approaches to criminological knowledge production Cross-cultural comparisons between Eastern and Western justice systems Scientific paradigms in crime studies Analysis of her 15 most recent publications reveals strong focus on: comparative criminology (especially Japanese contexts), biological theories of crime, methodological critiques, and youth delinquency patterns. Her work consistently employs cross-national frameworks and examines how cultural constructs influence criminological research.
Dr. Anita Chasiotis is a Researcher at the Leibniz Institute for Psychology Information (ZPID), where she has been a staff member since 2016. She holds a PhD in Psychology (Dr. rer. nat.) from Trier University (2020). Her primary role involves managing the KLARpsy service (klarpsy.de), which develops plain language summaries of psychological meta-analyses to enhance public understanding of science. She previously led the PLan Psy research project (2021-2022). Key responsibilities include content curation for journal articles, development of evidence-based guidelines for plain language summaries, and promoting science communication through workshops and conferences. Her research focuses on science communication efficacy, health information seeking behaviors, and empowering marginalized groups to access scientific evidence. In recent work, she has demonstrated how plain language summaries improve user knowledge retention and trust in science through randomized controlled trials. Her team's KLARpsy guidelines (2024) are now widely used in German-speaking psychology circles. Collaborations span institutions like the German Psychological Society (DGPs) and Swiss Society of Early Childhood Research. She actively participates in initiatives like the Psychology Communication Network (PsyComm) to bridge research and public engagement. Chasiotis has authored over 50 peer-reviewed publications, with a focus on metascience and health communication. Her work has been presented at major conferences including EARLI, ECP, and DGPs Congresses. She frequently delivers invited talks on science communication strategies and serves on advisory boards for research synthesis initiatives like PSYNDEX.
Dr. Tina Keil serves as Technical Manager for PsychOpen GOLD at Leibniz Institute for Psychology (ZPID) and holds a Senior Research Associate position at Lancaster University since 2022. She earned her PhD in Psychology from the University of Exeter in 2018. Her work focuses on technical infrastructure for open science platforms, psychological measurement tools, and intergroup contact research. Education: PhD in Psychology, University of Exeter, 2018 Senior Research Associate appointment, Lancaster University, 2022–present Research interests include: Development of open science technologies Quantitative methods for measuring intergroup interactions Psychological applications of smartphone technology Analysis of racism discourse in political contexts Key publications span topics like police legitimacy perception, gratitude platform usage, and intergroup contact measurement through mobile apps. She has contributed to major projects like the Contact Logger application and analysis of Brexit-related populism. Grants and collaborations involve third-party funded projects at ZPID, though specific grant details aren't documented here. She advises technical implementations for academic publishing standards and supports stakeholders across editorial and authorship workflows. Labs/teams affiliated with include Science Reception Lab, Social Influence Lab, and Metascience Lab at ZPID, focusing on psychological metascience and big data applications.
Ali Ozkes is an Associate Professor at Université Côte d'Azur , affiliated with the Groupe de Recherche en Droit, Economie, Gestion (GREDEG) , the Pole History of Ideas, Cognition and Complexity (PHICC) , and the Team MED (Modelization Experimentation Decisions) . His work bridges economics, behavioral science, and AI ethics, with a focus on understanding strategic decision-making in complex systems. Key research areas include: Behavioral Game Theory Experimental Economics Social Choice Theory Text Mining AI Ethics and Behavior Metascience His recent publications highlight trends in AI-human ethical equivalence, collective action solutions, and reproducibility in management science. Notably, he explores how generative AI impacts public sector ethics and develops frameworks for analyzing consensus in nonprofit leadership teams. Ali Ozkes contributes to interdisciplinary research through collaborations in the Modelization Experimentation Decisions (MED) team, integrating computational methods with social science to address real-world challenges.
Dr. Marcus Michelangeli is a Lecturer in the School of Environment and Science at Griffith University (since August 2024), affiliated with the Australian Rivers Institute. He holds a PhD from Monash University (2017). His research focuses on wildlife adaptation to environmental change, particularly synthetic and psychoactive chemical pollution, behavioral ecotoxicology, and the role of behavioral individuality in ecological systems. He employs cutting-edge methods like animal tracking and AI-driven analysis to explore these themes. Research Themes: Behavioral Ecotoxicology: Investigates chemical contaminants' impacts on wildlife behavior and population/community dynamics. Behavioral Individuality: Studies mechanisms driving animal personalities, particularly under human-induced stressors like pollution and urbanization. Evidence Synthesis: Uses metascience to integrate ecological and ecotoxicological data for policy-relevant insights. He actively seeks Honours and PhD students for collaborative projects, emphasizing innovative tools and ethical practices. His supervision style includes weekly meetings, open communication, and support for professional development. He prioritizes inclusive, respectful research environments and transparent data management. Key Affiliations: Australian Rivers Institute (2024–present) Marie Skłodowska-Curie Fellow at the Swedish University of Agricultural Sciences (2023–2024) Postdoctoral Researcher at UC Davis (2018–2020) Laboratory and Group Focus: Builds a supportive research group emphasizing independence, grant applications, and interdisciplinary collaboration. Current work addresses pharmaceutical pollution’s impacts on migratory fish and community resilience.
Erkan O. Buzbas is an Associate Professor in the Department of Mathematics and Statistical Science at the University of Idaho's College of Science. He teaches courses including Stat 427, 501, 514, 535, and 565. His educational background includes a B.S. in Chemistry and M.S. in Environmental Sciences from Bogazici University, followed by an M.S. in Statistics and Ph.D. in Bioinformatics and Computational Biology from the University of Idaho. Dr. Buzbas's research focuses on metascience, reproducibility, computational statistical methods, and Bayesian statistics. He employs stochastic modeling of population-level phenomena and develops inference methods for complex systems. His current work investigates scientific knowledge accumulation, the role of reproducibility, and epistemic diversity using statistical theory and simulations. His publications emphasize reproducibility, population genetics, and Bayesian methodologies, with recurring themes in scientific reform, model robustness, and evolutionary inference. Awards include recognition for interdisciplinary collaborations spanning natural, social, and mathematical sciences. Buzbas mentors students in statistical and computational research and has secured grants for metascience investigations. He collaborates with researchers across disciplines to advance quantitative understanding of scientific processes.
Berna Devezer is an Associate Professor of Marketing at the University of Idaho's College of Business and Economics. She holds a Ph.D. and M.S. from Washington State University and a B.A. from Bogazici University, with expertise in metascience theory, behavioral experimentation, and statistics. Her interdisciplinary research examines scientific methodology, reproducibility, and theory development through formal modeling. Focus areas include: Foundations of scientific inference and reform Epistemic diversity in research paradigms Quantitative approaches to metascience Recent publications demonstrate sustained focus on replicability crisis solutions, with theoretical frameworks for improving research rigor across disciplines. Articles consistently emphasize philosophical and statistical dimensions of knowledge production. No awards or student advising relationships are documented in available materials.
John Protzko is an Assistant Professor in the Department of Psychological Science at Central Connecticut State University. As Director of the Assumption Lab, his research investigates causal assumptions in prejudice, intelligence and decision-making, and metascience (the study of how science is conducted). He actively mentors students through research assistantships and teaches undergraduate and graduate courses including Research Methods, Social Psychology, and History & Systems of Psychology. Research Interests His work spans three major areas: Prejudice : Examining how assumptions about group differences influence social perception Intelligence/Decision Making : Studying cognitive development and mechanisms of decision-making Metascience : Investigating methodological issues in psychological research, including measurement invariance and volunteer bias Scientific Contributions His research reveals critical insights about: Spatial cognition and GPS use Free will beliefs and cooperation Interventions for reducing achievement gaps Theoretical foundations of mind-wandering Environmental influences on early intelligence Honors 2024 CT Board of Regents Outstanding Research Award Multiple Professor of the Year and Excellence in Teaching awards (2021-2025) Leadership Associate Director, Psychological Science Accelerator Fellow, Psychonomic Society
Univ.-Prof. Dr. Michael Kirchler is a Professor of Finance at the University of Innsbruck's Institute of Banking and Finance. He leads the Special Research Center (SFB) on Credence Goods, Incentives, and Behavior (2017–2026) and directs the Innsbruck Decision Sciences Research Center. His academic journey includes roles as Associate and Assistant Professor at the University of Innsbruck, alongside a visiting professorship at the University of Gothenburg since 2009. Education: He earned his MSc in Business Administration (2003), PhD in Finance (2006), and Habilitation (2010) from the University of Innsbruck. His research focuses on Behavioral Finance, Metascience, and Experimental Economics. Notable awards include the START grant (FWF, 2012) and the Pater Johannes Schasching SJ Award (2016). Research Interests: Explores behavioral aspects of financial markets, ethics in finance, and metascience. Recent studies address replication crises, financial professional behavior, and climate attitudes. Over 80+ publications span journals like Nature, American Economic Review, and Journal of Finance. Awards: Recognized for contributions to economics, ethics, and teaching excellence. Key grants include a €7.5M SFB project and €1.1M from FWF's START program. Teaching: Offers courses in Behavioral Finance, Quantitative Methods, and Decision Making at undergraduate and graduate levels. Engages in outreach through keynote lectures and media contributions (e.g., The Guardian, Harvard Law Forum). Grants and Roles: Active in academic leadership, including editorial roles and conference organization. Research spans financial markets, risk-taking, and policy implications of behavioral insights.
Matthew Kim is an Assistant Professor of Psychology at the University of Kentucky's College of Arts and Sciences, where he directs the Developing Minds Lab. His research program examines motivation and self-regulation development in K-12 and postsecondary students, with particular focus on school transitions and their impact on diverse learners. Kim earned his Ph.D. in Psychology from the University of Michigan in 2015, following an M.S. from the same institution and a B.A. in Economics and Psychology from New York University. Kim's research investigates interpersonal and intrapersonal factors influencing how people understand, perpetuate, and cope with racism. He specializes in examining communication about racism in both same-race and cross-race contexts, and the subsequent outcomes for Black individuals' well-being. His work is characterized by commitment to inclusive, open, and reproducible science practices. Analysis of Kim's recent publications reveals consistent focus on educational psychology themes, particularly in STEM education contexts. His work examines identity formation, mindset development, and belongingness across diverse student populations. Methodologically, his research employs both quantitative assessments and qualitative approaches to understand student experiences during critical educational transitions.
Aaron Fisher is an Associate Professor at the University of California, Berkeley's Department of Clinical Psychology. His research focuses on idiographic science, personalized treatment models, and group-to-individual generalizability in psychological phenomena. Fisher holds a Ph.D. from Pennsylvania State University and completed clinical training at the VA Palo Alto Healthcare System. His work emphasizes machine learning applications for person-specific prediction and explores the metascientific implications of individual-level analysis. Research interests include treatment personalization via self-reported data, psychopathology dynamics, and the integration of digital health tools like ecological momentary assessment (EMA). The Idiographic Dynamics (ID) Lab under Fisher investigates sufficiency conditions for emotional distress and develops frameworks for translating network analysis into clinical interventions. Notable contributions address methodological challenges in generalizability and advocate for person-level scientific paradigms. Teaching focuses on advanced methods such as structural equation modeling and clinical applications of health psychology. Ongoing projects include smartphone-based sensing for depression drivers, PTSD diagnosis simplification, and evaluating clinician adoption barriers for real-time assessment tools. His publications span over 15 years, demonstrating sustained commitment to advancing precision mental health methodologies.
Dr. James Bartlett is a Lecturer in the School of Psychology & Neuroscience at the University of Glasgow. Previously, he held senior lecturer roles in distance learning programs at Arden University. His academic journey includes a PhD and undergraduate degree from Coventry University, focusing on cognitive neuroscience, particularly attentional bias in smoking behavior. His current research emphasizes metascience and improving research methods education. He collaborates on projects related to open science, reproducibility, and pedagogical innovations in psychology. Education: PhD in Psychology, Coventry University, UK Undergraduate Degree, Coventry University, UK Research Interests: Metascience and research methodology Open science and reproducible practices Psychology of religion and mysticism Addictive behaviors and cognitive control Evolutionary approaches to altruism and mate choice Publications Trends: Recent work focuses on methodological rigor, open scholarship, and educational strategies in psychology. Notable contributions include studies on unethical workplace behavior replication, student feedback mechanisms, and improving teaching practices in research methods. Awards: No specific awards listed. Advising/Grants: Collaborations include the PsyTeachR Team for open-source educational tools and the Delphi study on psychology curricula. No grant details explicitly provided. Labs/Teams: Active contributor to the PsyTeachR Team developing open-access research tutorials.
Professor Lisa DeBruine holds the position of Professor of Metascience and is the Academic Lead for Good Research Practice at the University of Glasgow's School of Psychology & Neuroscience. Her work focuses on advancing research methodologies, open science practices, and the reproducibility of scientific findings. She is affiliated with Research Services at the university, emphasizing institutional commitment to academic rigor. Her research interests include evolutionary psychology, particularly the social and health-related cues conveyed by facial features, and the intersection of biological and behavioral endocrinology. She also explores methodological innovations in data analysis and visualization, aiming to improve transparency and reproducibility in psychological research. Professor DeBruine’s publications span over 200 articles, with recent work addressing topics like facial perception, pathogen avoidance mechanisms, and collaborative science challenges. Her work often employs computational methods and large-scale datasets, such as the Psychological Science Accelerator’s global collaborations. She has contributed to open-source educational materials and tutorials to enhance research skills among students and academics. Her academic contributions highlight interdisciplinary approaches, combining evolutionary theory, statistical modeling, and technological tools to address gaps in psychological research practices.
Professor Johnjoe McFadden is a Professor of Molecular Genetics and Associate Dean (International) at the University of Surrey's School of Biosciences within the Faculty of Health and Medical Sciences. He holds a BSc (Biochemistry) from Bedford College, University of London (1978) and a PhD (Biochemistry) from Imperial College, University of London (1982). His research focuses on systems biology, mycobacterial genetics, tuberculosis pathogenicity, and quantum biology. He has held roles such as Reader, Lecturer, and Research Fellow prior to his current position. His work spans antimicrobial drug development, bacterial persistence mechanisms, and consciousness theories. Notable contributions include developing diagnostic tests for infectious diseases, studying nitrogen metabolism in tuberculosis, and advancing electromagnetic field theories of consciousness. Collaborations include projects with Graham Stewart and others exploring novel diagnostic tools and vaccine candidates. Recent publications highlight innovations in metabolic flux analysis, rapid diagnostic technologies, and interdisciplinary studies linking quantum phenomena to biological processes. His research bridges microbiology, neuroscience, and biotechnology, addressing global health challenges like drug-resistant infections.
Etienne Roesch is Professor of Applied Statistics & Cognitive Science at the University of Reading's School of Psychology and Clinical Language Sciences. His interdisciplinary research examines human experience in digital environments, including reproducibility in science, climate change science, machine learning applications, neuroscience, and cyber psychology. His recent publications focus on cybersecurity vulnerabilities in home IoT devices, emotional responses to cyber-physical attacks, open science methodologies, and AI applications in education systems. Research employs Bayesian modeling, EEG studies, and behavioral experiments to understand cognitive processes in technological contexts.
