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Xiaorui JiangView profile

Lecturer

• Natural Language Processing
• Network Analysis
• Scientometrics
• +3 more

Dr. Xiaorui Jiang is a Lecturer in Data Science at the University of Sheffield's Information School. Previously, he held roles including Lecturer at Zhejiang University of Technology (2013–2016), Senior Researcher in NLP at Japan's National Institute of Information and Communication Technologies (2015–2016), and positions at Aston University and Coventry University. His research focuses on NLP applications in scientometrics, healthcare, law, and digital humanities. He has secured significant research funding and received awards such as the Academic Staff of the Year Award (2024). Education: BSc/MSc: Harbin Institute of Technology (2005/2007) PhD: Chinese Academy of Sciences (2013) PGCHE: Aston University (2018) Research Interests: NLP for scientometrics (citation analysis, metascience) Healthcare NLP (clinical text mining, medical coding) Legal informatics (legal document analysis) Applications in digital humanities and urban analytics Grants & Awards: £3.5M government funding in smart city projects (ZJUT) Excellent Researcher Award (ZJUT, 2015) Academic Staff of the Year (2024) Fellow of the Higher Education Academy (2019) Teaching: Contributes to modules in databases, responsible data science, and machine learning. Supervises postgraduate projects in NLP and scientometrics. Labs/Teams: Collaborates with the Law and Tech Lab (Maastricht University) on legal informatics. Leads cross-disciplinary NLP research at Coventry University.

Marie-Ann SengewaldView profile

Researcher

• Quantitative Methods
• Psychometrics
• Causal Inference
• +4 more

Dr. Marie-Ann Sengewald is a postdoctoral researcher at the Leibniz Institute for Educational Trajectories (LIfBi), specializing in quantitative methods, psychometrics, and causal inference. Her work focuses on fair group comparisons, psychological measurement, and replication research, with applications in randomized experiments and large-scale assessments. She collaborates with institutions like GESIS and has been awarded the prestigious Sigrid Blömeke Scholarship Award 2025 for her project on app-based treatment evaluations. Dr. Sengewald holds teaching roles at Otto Friedrich University Bamberg and Friedrich Schiller University Jena, instructing advanced statistics courses for psychology and education students. Her voluntary work emphasizes supporting early-career researchers and promoting gender equality in academia, including surveys on family-friendly policies in research communities. Holds a PhD and extensive teaching experience since 2006. Recipient of DAAD scholarship (2009–2010) for international studies. Key projects include DFG-funded META-REP research on replication guidelines and machine learning applications in differential item functioning detection. Her research bridges methodological innovation and substantive applications, with over 15 peer-reviewed publications in journals like Psychometrika and Advances in Methods and Practices in Psychological Science . She regularly organizes workshops and symposia on causal inference and quantitative practices, fostering collaboration across disciplines.

Tina SeidelView profile

Professor

• Educational Technology
• Simulation-Based Learning
• Professional Vision Development
• +3 more

Prof. Dr. Tina Seidel holds the Friedl Schöller Endowed Chair of Educational Psychology at TUM's School of Social Sciences and Technology. She leads the TUM Center for Educational Technologies, directing the Evidence in Practice department and the Clearing House for Instruction since 2023. Her research focuses on digital educational technologies, simulation-based learning, and teacher professional vision. She earned her doctorate from the IPN in Kiel (2002) and held prior positions at Stanford University and the University of Jena. Key awards include the AERA Review of Research Award (2008) and Jacobs Foundation Young Talent Award (2005). Her work bridges cognitive theory with practical educational applications, emphasizing evidence-based teaching practices. Current projects explore AI in education, adaptive learning systems, and teacher training innovations. She advises the Bavarian Business Association’s Action Council for Education and contributes to national education policy.

Anne-Laure BoulesteixView profile

Associate Professor

• Biostatistics
• Machine Learning
• Molecular Medicine
• +4 more

Prof. Dr. Anne-Laure Boulesteix is an Associate Professor (W2, tenured) at the Department of Medical Informatics, Biometry and Epidemiology, Faculty of Medicine, Ludwig Maximilian University of Munich (LMU). She holds a PhD in Statistics from LMU Munich (2005) and a Habilitation (HDR) from the University of Évry Val d'Essonne, France (2011). Her research focuses on biostatistics, machine learning, metascience, and evaluation of methods, with a particular emphasis on reproducibility and Open Science. She has held roles including Junior Professor (W1, 2009–2012) and Visiting Professor of Biostatistics (2008). Affiliations: Head of the Biometry in Molecular Medicine research group, Steering Committee member of the STRATOS initiative, and President of the German Region of the International Biometric Society. Awards: Chikio-Hayashi-Award (2013), Gay-Lussac-Humboldt Award (2011). Research Interests: Methodological research in statistics, validation of methods, simulation studies, and addressing challenges in clinical prediction models. Her work emphasizes rigorous validation, transparency, and reproducibility in methodological research. She has authored over 150 peer-reviewed publications and contributes to editorial roles in journals like Statistics in Medicine and Journal of Classification .

Kai SassenbergView profile

Professor

• Social Influence
• Bias Reduction
• Metascience
• +3 more

Prof. Kai Sassenberg is Director at the Leibniz Institute for Psychology (ZPID) and former full professor at the University of Tübingen (until 2023). He held a prior position as associate professor at the University of Groningen. His research focuses on social influence mechanisms, bias mitigation, and metascientific issues in psychological research. Sassenberg earned his PhD in Psychology (Dr. rer. nat.) from the University of Göttingen in 1999. Research Interests : Psychological mechanisms underlying social influence and persuasion Development of bias reduction strategies in decision-making Methodological advancements in psychological research transparency Applications of metascience to improve research practices Recent Work Trends : Recent publications emphasize interdisciplinary approaches to conspiracy theory dynamics, public acceptance of renewable energy technologies, and leadership behavior in organizational contexts. His work consistently bridges theoretical insights with practical interventions. Labs & Teams : Leads the Science Acceptance Lab, Social Influence Lab, and Metascience Lab at ZPID, fostering collaborative research initiatives in psychological science.

Whitney AgunyegoView profile

Lecturer

• Epistemic injustice
• Trust in science
• Science communication
• +3 more

Whitney Agunyego, M.Sc. holds dual affiliations: as a Researcher at the Science Acceptance research group of ZPID (Leibniz Institute for Psychology) and as a Lecturer in Social Psychology at Philipps-Universität Marburg (2023–2024). She previously served as a Research Assistant in the BMBF-funded EUNIDES project on national identifications and solidarity dynamics. Education : Bachelor's and Master's (B.Sc. & M.Sc.) in Psychology, Philipps-Universität Marburg (2016–2022) Research Focus : Epistemic injustice, trust in science, science communication, racism/discrimination, and social justice. Her work bridges experimental social psychology with methodological innovation, particularly in integrating qualitative methods into survey-based studies. Labs & Affiliations : Science Reception Lab Metascience Lab Moral Computing Lab Grants & Projects : Active in the EUNIDES BMBF project (2023). Her research has produced high-impact work in Journal of Experimental Social Psychology and Identity ( 2023 , 2024 ).

Andre BittermannView profile

Researcher

• Computational Psychology
• Text as Data
• Bibliometrics
• +3 more

Dr. André Bittermann is a Senior Researcher at ZPID (Leibniz Institute for Psychology Information) since October 2024, working in the 'Metascience' and 'Information and Retrieval Services' departments. He previously served as acting head of ZPID's 'Big Data in Psychology' department from 2021 to 2024. He holds a PhD in Psychology (Dr. rer. nat.) from Trier University (2020). His research focuses on computational methods applied to psychology, including text-as-data approaches, bibliometric analysis, and metascience. He has published extensively on topics like social media analytics for academic well-being, NLP in psychology, and translational psychotherapy research. Key research interests include computational psychology, text-mining techniques, and the application of machine learning to scientific workflows. His work bridges methodological innovation with practical tools like the PsychTopics app, designed to assist researchers in exploring psychological topics. Recent studies address fragmentation in emerging research fields and the role of academic social media (#TwitterMigration). Bittermann has presented at major conferences such as the German Psychological Society Congress and the EARLI Conference. His research often involves collaborations with institutions like TU Braunschweig and the PsyChange Network. He contributes to ZPID's initiatives in metascience and information retrieval, emphasizing reproducibility and open science practices.

Stefanie MuellerView profile

Researcher

• Metascience
• Eye Tracking
• Reference Frames
• +3 more

Dr. Stefanie Mueller is a Researcher at the Leibniz Institute for Psychology Information (ZPID), where she previously served as head of the Department of Study Planning, Data Collection, and Data Analysis Services (2018–2024). She holds a PhD in Psychology (Dr. rer. nat., 2014) from Justus Liebig University Giessen. Her research focuses on metascience, eye-tracking methodology, and reference frames in psychological research. She has contributed to developing the Psychological Research Preregistration-Quantitative (PRP-QUANT) Template and led studies on preregistration practices. Key work includes analyzing researcher degrees of freedom, open science practices, and tool development for reproducible research. Her publications emphasize methodological rigor, including articles on preregistration usability, eye-tracker comparisons, and neural correlates of sensory perception. She has presented at international conferences such as the European Summer School on Eye Movements (ESSEM) and the German Psychological Society (DGPs) congress. Mueller actively promotes open science through workshops on tools like PsychNotebook and formr.org.

Lisa SpitzerView profile

Researcher

• Metascience
• Open Science
• Preregistration
• +3 more

Dr. Lisa Spitzer is a Researcher at the Leibniz Institute for Psychology (ZPID), specializing in metascience, open science, preregistration, and eye-tracking methodologies. She received her PhD in Psychology (Dr. rer. nat) from the University of Trier in 2024 and holds an M.Sc. in Psychology from the University of Cologne (2020). Her work focuses on enhancing scientific reproducibility through structured preregistration frameworks and exploring the ethical and methodological challenges in psychological research. Her research interests include advancing open science practices, analyzing researcher motivations and obstacles in preregistration adoption, and evaluating remote eye-tracking technologies. Spitzer has contributed to community-driven initiatives such as developing the Psychological Research Preregistration-Quantitative (PRP-QUANT) Template and organizing workshops to promote preregistration adoption globally. She actively participates in conferences like SIPS and the German Psychological Society (DGPs), presenting on topics ranging from preregistration challenges to metascience innovations. Spitzer’s publications emphasize methodological improvements, including surveys on researcher attitudes toward preregistration, comparative analyses of eye-tracking technologies, and template development for scoping reviews. Her contributions span peer-reviewed journals, conference proceedings, and open-access archives, reflecting her commitment to transparent and reproducible science. She leads or collaborates in labs such as the Science Reception Lab, Social Influence Lab, and Metascience Lab at ZPID, focusing on interdisciplinary metascience and psychological research practices. Her work often bridges theoretical frameworks with practical tools, such as the PreReg platform, to address gaps in scientific transparency and reproducibility.

Rima-Maria RahalView profile

Researcher

• Decision Making
• Social Dilemmas
• Moral Psychology
• +7 more

Rima-Maria Rahal is a Researcher in the Cognition and Behavior group at Vienna University of Economics and Business (WU Vienna), specializing in decision-making processes across social, moral, legal, and economic contexts. Her work employs innovative process-tracing methodologies including eye-tracking and thermal imaging to investigate cognitive and affective mechanisms underlying human choices. Her research interests span decision science, moral psychology, process tracing, open science, and cross-cultural variations in decision-making. She has made significant contributions to understanding prosocial behavior, ingroup favoritism, and the cognitive foundations of moral judgments through large-scale international collaborations. Dr. Rahal has published extensively in high-impact journals including Nature Human Behaviour, PNAS, and Psychological Science, with a focus on how cognitive processing modes influence moral judgments and how cultural contexts shape decision-making patterns. Her recent work includes a meta-analysis on intuitive deontology across 731 effects and a multi-country study examining cognitive processes of ingroup favoritism across 20 nations. She is actively engaged in Open Science initiatives and has contributed to rethinking research funding mechanisms through her involvement with the 'More than Luck' project, advocating for alternative funding allocation procedures that address current systemic challenges in scientific research.

• Research Data Management
• Library Science
• Bibliometrics
• +3 more

Elke C. Bongartz serves as Deputy Head of the Research Infrastructures Department and Head of the Library at the German Institute for Adult Education - Leibniz Centre for Lifelong Learning (DIE) since 2024 and 2018, respectively. With a doctorate in Political Science from the University of Trier, she brings expertise in economics and library science to her role, leading research support services and the library at DIE. Her educational qualifications include: Doctorate in Political Science, University of Trier (2015) Graduate economist (Dipl.-Volksw.), University of Cologne Graduate in Business Administration (Dipl.-Kff.), University of Cologne Dr. Bongartz's research focuses on research data management, library science, and bibliometrics, particularly in the context of adult education and open science. She investigates infrastructure research and metasciences to optimize scientific information services, with additional interests in human resources management and strategic development for research support. Her recent publications (2019-2024) demonstrate a consistent emphasis on improving research data practices in educational research and enhancing library services for open science. She has conducted bibliometric studies on adult education history and contributed to frameworks for research data management, often in collaboration with the Leibniz Association. While the provided information does not list any specific scientific awards, Dr. Bongartz's contributions to research infrastructure are recognized through her leadership roles and committee memberships. Dr. Bongartz actively participates in professional organizations, including the Commission for Research-Related Services of the Association of German Librarians (VDB) and the spokespersons' circle for Libraries and Information Facilities of the Leibniz Institutes. She is a member of the VDB, the Association for Social Policy, and the Federal Association of German Economists and Business Economists. Leading the Research Infrastructures Department at DIE, she oversees the library and research support services, which provide literature research, research data management, and access to historical archives such as the VHS program archive. Her team is integral to DIE's mission of advancing adult education research.

Felix SchönbrodtView profile

Professor

• Open Science
• Metascience
• Replicability in Behavioral Sciences
• +3 more

Prof. Dr. Felix Schönbrodt is a Professor at the Department of Psychology, Ludwig Maximilian University of Munich, and serves as Managing Director of the LMU Open Science Center. He is a board member of the META-REP priority program focused on improving replicability in behavioral, social, and cognitive sciences. Research Focus : Open Science, Metascience, and responsible research practices Leadership : Co-leading CoARA Working Group 'Responsible Metrics and Indicators' His work emphasizes transparency in research methods, data sharing, and promoting scientific credibility through independent verification and replication. He advocates for responsible research assessment frameworks and has developed a Commitment to Research Transparency and Open Science initiative.

• Drug Regulation
• Science Policy
• Pharmacoepidemiology
• +6 more

Dr. Joyce Hoek is a Researcher at the Department of Pharmacoepidemiology and Clinical Pharmacology within the Faculty of Science at Utrecht University. She is affiliated with the Center for Pharmaceutical Policy and Regulation and the Utrecht Institute for Pharmaceutical Science (UIPS). Her research focuses on drug regulatory science and the interfaces between science and policy. Dr. Hoek specializes in studying evidence and decision making in drug regulation, primarily using qualitative methods. Her PhD dissertation analyzed how medicine regulators make decisions in practice through ethnographic research at the Dutch Medicines Evaluation Board (MEB). Dr. Hoek is currently involved in projects including Nanospresso and Oncode Accelerator, where she studies the regulatory implications of innovations in medicine development. Her research interests also encompass open science, science policy, Science and Technology Studies (STS), and metascience. Her recent publications demonstrate expertise in assessing drug effects credibility and regulatory uncertainty judgment, as well as exploring networks for Advanced Therapy Medicinal Products (ATMP) in the Netherlands. Her work bridges academic research and practical regulatory applications in pharmaceutical science. Drug regulatory decision-making processes Science-policy interfaces in pharmaceutical regulation Regulatory implications of medical innovations Evidence assessment in medicine evaluation Dr. Hoek contributes to the academic community through her research on pharmaceutical policy and regulation, collaborating with various stakeholders in the regulatory science field and participating in initiatives aimed at strengthening the Dutch regulatory ecosystem for advanced therapies.

• Science and Technology Policy
• Sociology of Science
• Metascience
• +7 more

Dr. Josie Coburn is a Research Fellow at the Science Policy Research Unit (SPRU) within the University of Sussex Business School. With an interdisciplinary background spanning science and technology policy, sociology of science, and information systems, she contributes significantly to understanding how scientific research is funded, organized, evaluated, and directed toward societal needs across multiple domains including health and biomedicine, energy and sustainability, and AI and ICTs. Her educational journey at the University of Sussex includes a PhD in Science and Technology Policy Studies (2018-2024), an MSc in Public Policies for Science, Technology and Innovation (2006-2007), an MSc in Evolutionary and Adaptive Systems (2003-2004), and a BA in Artificial Intelligence (1998-2001). Prior to her academic career, she accumulated four years of professional experience as an Analyst Programmer and Systems Analyst in ICT firms, providing practical industry perspective to her academic work. Dr. Coburn's research portfolio centers on metascience (the science of science), examining research directionality, evolution, and the dynamics of how research changes course through mechanisms like serendipity and failures. She is particularly recognized for her expertise in Multicriteria Mapping (MCM), a hybrid quantitative-qualitative methodology she regularly teaches and applies to open up complex decision-making processes in science, technology, and innovation policy. Her current projects include the ERC-funded JustWind4All initiative appraising sustainable and just wind energy implementation, and a UKRI Metascience Unit project assessing novelty in research. Previous significant work includes the ERC-funded SIRI project on serendipity in research, an EBNet project examining environmental biotechnology from social science perspectives, and a multi-country study on diagnostics for antimicrobial resistance. Her publication record demonstrates consistent contributions to high-impact journals in science policy, with recurring themes of research targeting, knowledge spillovers, and evaluation methodologies. The most recent work shows increasing focus on practical applications of metascience to pressing societal challenges in energy transition and health innovation. As an educator, Dr. Coburn has served as an Associate Tutor at SPRU since 2012, teaching Information Systems (2012-2014) and Multicriteria Mapping in various courses since 2017. She has provided specialized MCM training to policy practitioners and researchers, and serves as a reviewer for leading journals including Research Policy and Social Science and Medicine. Her professional engagement includes regular participation in the Eu-SPRI conference series and other scholarly activities that bridge academic research with policy application.

• Natural Language Processing
• Computational Cognitive Modeling
• Metascience
• +3 more

Louis Schiekiera is a Researcher in the Emmy Noether Junior Research Group Computational Modeling at Humboldt University , affiliated with the Faculty of Life Sciences and Institute of Psychology . He is also a PhD student at the Department of Clinical Psychological Intervention, Freie Universität Berlin , working on his dissertation 'Understanding Publication Bias Using Large Language Models and Behavioral Methods.' Education: PhD in Psychology, Freie Universität Berlin (2024–) MSc in Psychology, University of Potsdam (2021–2023) BSc in Psychology, University of Hamburg (2018–2021) BA in Sociology and Technology Studies, TU Berlin (2014–2018) His research bridges Natural Language Processing , Computational Cognitive Modeling , and Metascience to investigate Publication Bias , Political Bias in Historiography , and Clinical Psychology . He develops computational models (e.g., 'Swinging Lexical Network') to simulate speech production dynamics and applies machine learning to analyze scientific literature trends. Recent publications span 2021–2025 , focusing on NLP in Clinical Research , Publication Bias , and Political Ideology in Academic Decision-Making . His work appears in Collabra: Psychology , F1000Research , and Journal of Psychology , alongside a book chapter on global equity in clinical psychology. Scientific Awards: Emmy Noether Junior Research Group He collaborates with Dr. Fritz Günther (HU Berlin) and Prof. Rasha Abdel Rahman (HU Berlin) on computational modeling, while his PhD work at FU Berlin integrates behavioral science and machine learning . His open-source projects (e.g., NegativeResultDetector on GitHub) highlight his commitment to transparency in research.