Find Academic Supervisors

Alison LedgerwoodView profile

Professor

• Social Psychology
• Open Science
• Methodology
• +4 more

Alison Ledgerwood is a Professor in the Department of Psychology at the University of California, Davis, and Principal Investigator of the Attitudes and Group Identity Lab. Her research examines how social context shapes attitudes and preferences, with a focus on open and inclusive scientific practices. Ph.D., Social Psychology, New York University (2008) M.A., Psychology, New York University (2006) B.A., Psychology, Amherst College (2003) Her research explores psychological distance , framing effects , and system justification theory , while methodologically advancing preregistration , collaborative science , and equity in publishing . She also investigates group identity dynamics and implicit/explicit bias measurement . Recent publications highlight her work on racial bias methodology , open science reform , and contextual framing . Awards include the 2024 Distinguished Service to the Society award, 2021 UC Davis Advising and Mentoring Award, and 2017 SPSP Service to the Field award. 2024 Distinguished Service to the Society, SPSP 2021 UC Davis Graduate Advising and Mentoring Award 2017 Service to the Field, SPSP Hellman Fellowship (2010-2011), UC Davis UC Davis Chancellor's Fellow APS Fellow SESP Fellow Ledgerwood advises on scientific integrity through roles like Chair of the Transparency and Openness Promotion (TOP) II Guidelines Task Force and Anti Colorism and Eurocentrism in Methods and Practices (ACEMAP) Task Force. Her lab fosters contextual evaluation studies and psychological distance frameworks .

• Quantitative Science Studies
• Bibliometrics
• Scientometrics
• +7 more

Ludo Waltman serves as Scientific Director and Professor of Quantitative Science Studies at the Centre for Science and Technology Studies (CWTS) within Leiden University's Faculty of Social and Behavioural Sciences. He holds multiple influential positions including Co-chair of the Research on Research Institute (RoRI), President of ASAPbio, and Editor-in-Chief of MetaROR (MetaResearch Open Review). As an Open Science Ambassador for Leiden University, he actively promotes transparency and innovation in scholarly communication. Waltman's research spans Quantitative Science Studies, Bibliometrics, and Metascience, with particular focus on university rankings, preprint ecosystems, open access publishing models, and research evaluation frameworks. His work critically examines the infrastructure of scholarly communication, advocating for more transparent and efficient systems that better serve the research community. He has been instrumental in developing initiatives like the Barcelona Declaration on Open Research Information and advancing publish-then-review models as alternatives to traditional peer review. His recent publications reveal a consistent emphasis on systemic issues in scholarly communication, with particular attention to preprint adoption across Europe, the relationship between assessment reform and publishing reform, and the methodological transparency of university rankings. These works collectively demonstrate his commitment to evidence-based approaches for improving research infrastructure and evaluation practices. Waltman actively engages in advising and shaping research policy through his leadership roles. As Co-chair of RoRI, he helps guide metascience research that examines the research system itself. His work with MetaROR promotes innovative peer review models, while his presidency at ASAPbio advances preprint culture in life sciences. He frequently collaborates with major research funders, publishers, and infrastructure organizations to implement practical reforms in scholarly communication. Through CWTS at Leiden University, Waltman leads a research environment focused on quantitative analysis of science and technology systems. His work connects with broader initiatives like the Research on Research Institute and the Barcelona Declaration movement, creating networks that bridge researchers, funders, and infrastructure providers committed to improving research practices.

Jan G. VoelkelView profile

Assistant Professor

• Political Change
• Behavioral Change
• Metascience (Research on Research Methods)
• +7 more

Jan G. Voelkel is an Assistant Professor at the Jeb E. Brooks School of Public Policy and the Department of Sociology at Cornell University. His research explores how micro-level preferences for equality and unity translate into macro-level political decisions, focusing on democratic attitudes, partisan dynamics, and moral framing. Ph.D. and M.A. in Sociology, Stanford University M.S. in Social and Behavioral Sciences, Tilburg University B.S. in Social Sciences, University of Cologne Voelkel’s work spans political psychology, metascience, and social policy, with a focus on interventions to reduce anti-democratic attitudes, partisan animosity, and gender bias in political leadership. His recent articles emphasize large-scale collaborations, reproducibility, and cross-partisan empathy. Scientific awards include: New Investigator Award (Behavioral Science & Policy Association) Public Sociology Award (American Sociological Association) Open Science Innovator Award (Stanford) Centennial Teaching Assistant Award (Stanford)

Geoffrey BowkerView profile

Professor

• Values in Design
• Information Infrastructure
• Classification Systems
• +5 more

Geoffrey Bowker is a Professor and Director of the Values in Design Laboratory at the Department of Informatics, Bren School of Information and Computer Sciences, University of California, Irvine. Previously, he served as Professor of Cyberscholarship at the University of Pittsburgh’s iSchool and as Executive Director and the Regis and Dianne McKenna Professor at Santa Clara University’s Center for Science, Technology and Society. Education: PhD in History and Philosophy of Science, University of Melbourne, Australia Postdoctoral Research, École des Mines, Paris His research focuses on the intersection of social, cultural, and political values in technology design , emphasizing inclusivity for underserved communities. He examines how classification systems , standards , and actor-network theory shape knowledge production and ethical frameworks in fields like medicine, environmental science, and nursing. His work on information infrastructure investigates how data structures influence communication between scientists, policymakers, and marginalized groups. Key themes in his publications include the materiality of standards , the indeterminacy of historical narratives , and the practical politics of categorization . His 1996 paper with Susan Leigh Star, How things (actor-net)work , remains foundational in analyzing the hidden labor in technological interoperability. Editorial Roles: Editorial Board, The Information Society Editorial Board, Information and Organization Editorial Board, Metascience Editorial Board, Social Studies of Science The Values in Design Laboratory under his leadership trains researchers to integrate informatics, computer science, and science and technology studies into systems that embed social and ethical values. His work bridges the technical and the philosophical, advocating for transparency in the political dimensions of data structures and technological systems.

Eli FinkelView profile

Professor

• Social Psychology
• Relationship Science
• Marriage and Couples
• +3 more

Professor Eli Finkel is a core faculty member in the Department of Psychology at Northwestern University, where he directs the Relationships and Motivation Lab (RAMLAB). He is the author of "The All-or-Nothing Marriage" and host of the "Love Factually Podcast," focusing on evidence-based relationship science. His research spans: Social Psychology Relationship Science Marriage and Couples Metascience Close Relationships Motivation Dr. Finkel's work examines how modern expectations impact marital satisfaction through rigorous empirical analysis. His publications bridge academic research and public understanding of relationship dynamics, though specific article details were unavailable in the source text. Awards and honors are acknowledged on his profile, but no specific recognitions were listed in the provided content. He maintains active research funding and mentoring commitments within Northwestern's psychology program. The Relationships and Motivation Lab (RAMLAB) serves as his primary research hub, investigating motivational processes in close relationships through innovative experimental designs and longitudinal studies.

Lydia EmeryView profile

Assistant Professor

• Close Relationships
• Social Class
• Self-Concept
• +3 more

Lydia Emery is an Assistant Professor in the Department of Psychology at the University of Chicago, joining in 2023. She holds a B.A. in Psychology and English from Haverford College and a Ph.D. in Psychology from Northwestern University, followed by postdoctoral training at the Kellogg School of Management. Her research focuses on three interconnected areas: (1) how social class influences relationship dynamics and resilience, (2) the interplay between self-concept clarity and close relationships, and (3) improving diversity in psychological research. She explores how socioeconomic status shapes relationship strengths and challenges, how couple identity formation occurs, and how researchers can adopt more inclusive practices. Her work bridges theoretical contributions (e.g., self-expansion theory, attachment theory) with applied questions about relationship health across diverse populations. Recent studies highlight mechanisms linking attachment avoidance to couple identity clarity and methodological innovations in sampling marginalized groups. Her research has been featured in top-tier journals and addresses both foundational relationship science and metascientific challenges in psychology. She advocates for expanding the scope of psychological research to reflect broader societal diversity.

Sean C. RifeView profile

Professor

• Moral and Political Psychology
• Metascience
• Sociology of Science
• +5 more

Sean C. Rife is Professor of Psychology at Murray State University, co-founder of scite.ai, and Head of Academic Relations at Research Solutions, Inc. His work focuses on moral/political psychology, metascience, and AI's role in research evaluation. PhD in Psychology (Kent State University, 2014) MA in Sociology (East Tennessee State University, 2009) MA in Experimental Psychology (East Tennessee State University, 2008) BS in Psychology (North Georgia College and State University, 2005) His research explores ideology-personality connections, social media's influence on moral expression, and AI-driven tools to quantify scientific progress. He advocates for open science practices and has led large-scale replication efforts across multiple countries. Key projects include scite (AI-enhanced citation analysis), statcheck implementation, and TAPAS text similarity analysis. He has developed tools like psyLex and liwcR for linguistic analysis and research evaluation. Recent publications focus on terror-management theory validation, political orientation's impact on pandemic perception, and AI applications for citation classification. His work intersects psychology, data science, and academic technology development. Contact: Office: 209 Wells Hall, Murray State University Email: srife1@murraystate.edu, srife@researchsolutions.com Phone: 270-809-4404

Alex McDiarmidView profile

Visiting Assistant Professor

• Metascience
• Intergroup Relations
• Stereotyping
• +2 more

Alex McDiarmid is a Visiting Assistant Professor of Psychology at Rhodes College researching metascience and intergroup relations. His work examines factors influencing scientific persuasion and stereotypes/prejudice between religious believers and non-believers.

Janaynne Carvalho do AmaralView profile

Researcher

• Scholarly Communication
• Open Peer Review
• Science of Science
• +5 more

Janaynne Carvalho do Amaral is a Postdoctoral Research Associate at the School of Information Sciences, University of Illinois at Urbana-Champaign, specializing in scholarly communication and public engagement in research. Her work bridges academic publishing with democratic science practices through innovative peer review models. Her academic credentials include a PhD in Information Science from the Federal University of Rio de Janeiro/Brazilian Institute of Information in Science and Technology and a Master's in Social Anthropology from the Federal University of Goias, Brazil. Dr. Amaral's research centers on transforming scholarly communication through open peer review systems and public participation mechanisms. She examines knowledge exchange between scientists and communities, emphasizing diversity, social justice, and equitable information access. Her scholarship addresses critical gaps in science communication while promoting inclusive publishing ecosystems. Analysis of her publication trajectory reveals growing emphasis on metascience and participatory knowledge production. Recent work explores identity dynamics in peer review and structural reforms for democratizing academic publishing, reflecting interdisciplinary connections between information science, social anthropology, and science policy. Her scholarly recognition includes: List of Teachers Ranked as Excellent, University of Illinois (Spring 2023) Metascience 2023 Conference Travel Award for plenary presentation on public manuscript commenting NISO Plus Scholarship Program (January 2023) Society for Scholarly Publishing Fellowship (December 2022) Sponsored Scholar at Ninth International Congress on Peer Review (September 2022) Dr. Amaral actively contributes to editorial communities through the Society for Scholarly Publishing and serves as course instructor for Libraries Info and Society. Her grant activities include multiple competitive fellowships supporting conference participation and scholarly publishing initiatives, with ongoing leadership in diversity-focused publishing reforms.

Paul S. RosenbloomView profile

Professor

• Cognitive Architecture
• Artificial General Intelligence
• Hybrid Symbol Systems
• +4 more

Paul S. Rosenbloom is a Professor in the Department of Computer Science at the University of Southern California , with affiliations at the Institute for Creative Technologies . His work focuses on cognitive architectures , particularly the development of the Sigma architecture and contributions to the Common Model of Cognition . He has pioneered the integration of symbolic, probabilistic, and neural systems in AI research. Research Interests: Dr. Rosenbloom's research spans hybrid symbol systems , neural-symbolic integration , and the evolution of computational models of cognition . His recent work rethinks the Physical Symbol Systems Hypothesis through hybrid systems that bridge symbolic AI and neural networks, addressing challenges in universality , compositional reasoning , and cognitive modeling . Scientific Awards: 2011 Kurzweil Award for Best AGI Idea 2012 Kurzweil Award for Best AGI Paper 2023 Springer Prize for Best Paper Publications and Contributions: He has authored over 150 publications and co-authored foundational works on the Common Model of Cognition with Laird, Lebiere, and Stocco. His research has been supported by grants from the U.S. Army RDECOM and USC's Institute for Creative Technologies. He has mentored numerous collaborators and co-authors, including researchers like V. Ustun , A. Demski , and H. Joshi , in projects spanning virtual humans , reinforcement learning , and distributed vector representations .

Greg McKelvey, Jr.View profile

Professor

• Artificial Intelligence
• Biosecurity
• Pandemic Response
• +4 more

Greg McKelvey, Jr. is a Senior Physician Policy Researcher at the RAND Corporation and Professor of Policy Analysis at the RAND School of Public Policy. His work bridges medicine, technology, and national security, focusing on AI ethics, pandemic response, and biosecurity risks. He holds an MD from Dartmouth's Geisel School of Medicine and an MPH from Johns Hopkins Bloomberg School of Public Health. Education: MD, Dartmouth's Geisel School of Medicine MPH, Johns Hopkins Bloomberg School of Public Health His research emphasizes AI-driven threats to biosecurity, including dual-use risks in synthetic biology and large language models. He advocates for proactive policies to mitigate catastrophic risks posed by emerging technologies. Recent work includes benchmarking AI systems' biological knowledge and strategies to prevent AI-enabled bioweapon development. Awards: None explicitly listed. Advising & Grants: Not detailed in text, but includes federal roles like Assistant Director for Biosecurity at the White House Office of Science and Technology Policy, and leadership in the Federal COVID-19 response through the U.S. Digital Service. Labs/Teams: Collaborates across government, academia, and tech startups, focusing on strategic decision support systems and biosurveillance platforms.

Martie HaseltonView profile

Professor

• Intimate relationships
• Psychology of mating
• Social endocrinology
• +3 more

Martie Haselton is a Professor in the Department of Communication at the University of California, Los Angeles (UCLA), within the College of Letters & Science. Her research focuses on evolutionary psychology, particularly how evolutionary mechanisms shape social and mating behaviors. She explores topics such as women’s fertility-related decision-making, ovulation cues detectable by others, and hormonal influences on behavior. Dr. Haselton holds a Ph.D. in Psychology from the University of Texas at Austin (2006), an M.A. from the College of William & Mary (2001), and a B.A. from the University of San Diego (1998). Her work challenges assumptions about concealed ovulation in humans and examines implications for attraction dynamics, relationship stability, and maternal mental health. Her research interests include intimate relationships, mating strategies, social endocrinology, and cognitive biases. Key projects include studies on ovulation cues (e.g., clothing choices, vocal pitch changes), postpartum hormonal effects on maternal well-being, and the evolutionary basis of political beliefs and social status signaling. Recent work also addresses pandemic-related behavioral adaptations and methodological innovations in psychological science. Dr. Haselton’s lab at UCLA conducts interdisciplinary research, integrating behavioral experiments, hormonal analyses, and computational modeling. She collaborates with scholars in biology, computer science, and public health to advance evolutionary perspectives on human behavior.

• Perception
• Metacognition
• Subjective Experience
• +6 more

Megan Peters is an Associate Professor at the University of California, Irvine, with appointments in both the Department of Cognitive Sciences and the Department of Logic and Philosophy of Science within the School of Social Sciences. She serves as president and co-founder of Neuromatch.io and is a Fellow in the Brain, Mind & Consciousness program at the Canadian Institute for Advanced Research (CIFAR). Her research focuses on the intersection of perception, metacognition, and subjective experience, employing methodologies including fMRI, computational modeling, and artificial intelligence. Peters investigates how humans form metacognitive judgments about their perceptions and decisions, examining the neural and computational mechanisms underlying confidence, uncertainty, and conscious awareness. Her work spans theoretical frameworks in philosophy of science to practical applications in neuroscience methods. Peters' recent publications reveal a strong emphasis on metacognitive processes across various domains, with particular attention to how uncertainty is represented in the brain and communicated through behavior. Her research integrates computational neuroscience with philosophical approaches to consciousness and perception, creating a unique interdisciplinary perspective. She has made significant contributions to understanding the representational geometry of psychological spaces, the dynamics of perceptual decision-making, and the development of novel methods for analyzing neural data. Fellow, CIFAR Brain Mind & Consciousness Program As co-founder and president of Neuromatch.io, Peters has created a global platform for computational neuroscience education that has democratized access to advanced training. Her leadership in organizing large-scale virtual conferences has demonstrated innovative approaches to scientific collaboration across geographical boundaries. Through her work with Neuromatch, she has mentored numerous students and early-career researchers in computational neuroscience methods. Peters maintains active involvement in the consciousness science community, regularly participating in and organizing events such as the Metacognitive Science Satellite meeting and CCN (Cognitive Computational Neuroscience) conferences. Her research laboratory investigates fundamental questions about how the brain generates subjective experiences and metacognitive awareness, with implications for both theoretical understanding and potential clinical applications.

Paul SmaldinoView profile

Professor

• Social and cultural evolution
• Networks
• Mathematical and computational models of social behavior
• +9 more

Paul Smaldino is a Professor of Cognitive & Information Sciences and faculty in the Quantitative and Systems Biology graduate program at UC Merced. He holds additional affiliations with the Center for Analytic Political Engagement and the Center for Interdisciplinary Neuroscience at UC Merced, and serves as an External Professor at the Santa Fe Institute. His academic work bridges multiple disciplines through mathematical and computational approaches to understanding social phenomena. Smaldino's research focuses on social and cultural evolution, networks, mathematical and computational models of social behavior, and metascience. His current projects investigate the emergence of identity signaling strategies, the role of identity in social learning, socioecological influences on personality development, the role of diversity in innovation, the cultural evolution of analogies, and the population dynamics of scientific norms. His work consistently applies formal modeling approaches to explore how behaviors emerge and evolve under social, cultural, and ecological pressures. His recent publications reveal a strong trend toward interdisciplinary research that integrates game theory, network science, and cultural evolution. The articles demonstrate increasing attention to metascientific questions about how scientific communities function, alongside continued work on identity signaling, social learning dynamics, and the evolution of cultural norms. Many papers employ agent-based modeling and mathematical approaches to explore complex social phenomena across multiple scales. Smaldino is the author of the textbook Modeling Social Behavior: Mathematical and Agent-Based Models of Social Dynamics and Cultural Evolution published by Princeton University Press in Fall 2023, which has been translated into Japanese by University of Tokyo Press. His work on identity signaling, social learning, and cultural evolution has established him as a leading researcher applying formal modeling approaches to social science questions.

Chaoqun NiView profile

Assistant Professor

• Science of Science
• Science Policy
• Scholarly Data Analytics
• +3 more

Chaoqun Ni is an Assistant Professor at the Information School (iSchool) at the University of Wisconsin-Madison and co-director of the Metascience Research Lab. She is affiliated with the Data Science Institute, Holtz Center for Science & Technology Studies, and the Center for Demography of Health and Aging (CDHA). Her research focuses on the Science of Science, Science Policy, and Scholarly Data Analytics, using large-scale data to inform science policy and understand academic practices. She holds a Ph.D. in Information Science (minor in Statistics) from Indiana University Bloomington, and M.S. and B.S. degrees in Information Systems from Wuhan University. Her work examines gender disparities in academia, academic workforce dynamics, and interdisciplinary research barriers. She teaches courses in database management, data visualization, and research methods. Ni recently secured an NSF grant to study HBCU faculty mobility and retention and mentors Ph.D. students interested in metascience, science policy, and data science. Her lab, the Metascience Research Lab, explores transformative questions about the scientific enterprise and its societal impacts. Key research themes include peer review systems, academic career trajectories, and the role of parenthood in gender gaps in academia. Her interdisciplinary approach combines bibliometrics, statistical analysis, and computational methods to address challenges in science policy and scholarly communication.