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Atsuko Tanaka is an Associate Professor in the Department of Economics at the University of Calgary. Her research focuses on labor markets, health economics, and public policy, particularly examining topics such as female labor supply, skill investment, and pension reforms. She holds a Ph.D. in Economics from the University of Wisconsin-Madison (2013), alongside advanced degrees from Cornell University and the University of Tokyo. Education Ph.D. Economics, University of Wisconsin-Madison (2013) M.S. Economics, University of Wisconsin-Madison (2010) M.S. Applied Economics and Management, Cornell University (2007) B.A. Agricultural Economics, University of Tokyo (2004) Research Interests Tanaka’s work explores how health shocks, financial constraints, and policy interventions influence labor market outcomes. She investigates topics such as post-educational skill accumulation via college loans, strategic medical treatment choices under reimbursement reforms, and the macroeconomic effects of pension system transitions. Her research combines rigorous econometric methods with real-world administrative data to inform evidence-based policy. Awards and Grants SSHRC Connection Grant (2022, co-PI: Apostolos Serletis) National Science Foundation Extreme Science Grant (2021) SSHRC Insight Development Grant (2016) Susan Jane Blake Kocin Award, University of Wisconsin-Madison (2011) Grants and Collaboration Her research has been supported by major grants, including SSHRC and NSF funding. She collaborates with scholars on projects like analyzing physician behavior under reimbursement reforms, auditing firm dynamics, and international aid allocation strategies. Her work bridges theoretical models with empirical evidence to address complex socio-economic challenges.

• Labor Economics
• Health Economics
• Public Economics
• +3 more

Paul Larson is a Professor of Mathematics at Miami University. His research focuses on set theory, topology, and model theory, with particular expertise in forcing axioms, descriptive set theory, and infinitary logic. He holds a Ph.D. in Mathematics from the University of California, Berkeley. His work bridges foundational mathematical logic with applications in topology and combinatorics. Key contributions include studies on canonical models under fragments of the Axiom of Choice, polar forcings, and cardinal characteristics. Larson has collaborated extensively with leading researchers such as Saharon Shelah and Jindřich Zapletal. His publications span prestigious journals like the Annals of Pure and Applied Logic and Transactions of the American Mathematical Society. Beyond research, he contributes to the academic community through editorial work and expository writings on historical developments in determinacy theory. Education: Ph.D., Mathematics, University of California, Berkeley Research interests emphasize foundational questions in set theory with applications to topology and model theory. His recent work explores advanced forcing techniques, square principles in Pmax extensions, and combinatorial properties of cardinal invariants. Publications reflect interdisciplinary engagement, including crystal structure prediction in high-pressure chemistry and operator theory in functional analysis. Despite an extensive publication record, no specific scientific awards are documented here. His advising and grant activities remain unspecified in the provided texts. Collaborations span international institutions, reflecting his role as a central figure in contemporary set theory research.

• Set Theory
• Topology
• Model Theory
• +3 more

Brandon M. Stewart is an Associate Professor of Sociology at Princeton University with extensive interdisciplinary affiliations. He serves as Director of the Statistics Core at the Office of Population Research and maintains formal connections with the Politics Department, Princeton Institute for Computational Science and Engineering, Center for Information Technology Policy, and Center for the Digital Humanities. Stewart holds editorial leadership as Co-Editor-in-Chief of Political Analysis and Associate Editor at Sociological Methods & Research . His educational background includes: Ph.D. in Government from Harvard University (2015) Master's degree in Statistics from Harvard University (2014) Stewart's research pioneers innovative quantitative methods for social science applications, specializing in automated text analysis and modeling complex heterogeneity in regression. His methodological frameworks enable researchers to uncover hidden structures in large datasets that were previously too costly or impossible to analyze. While his recent work has focused on using newspaper archives to study propaganda mechanisms in contemporary China, his tools are deliberately designed for broad applicability across diverse domains including education, human trafficking, forced migration, international relations, constitutional law, and psychology. His publication record demonstrates consistent innovation at the intersection of statistics, machine learning, and social inquiry. Stewart's work shows a clear trajectory from foundational methodological development to practical implementation across numerous substantive areas, with recurring themes of enhancing causal inference with textual data, developing robust topic modeling techniques, and creating accessible computational tools for social scientists. Stewart's scholarly excellence has been recognized through multiple prestigious awards: 2024 Leo Goodman (Early Career) Award from the Methodology Section of the American Sociological Association 2023 Emerging Scholar Award from the Political Methodology Society Edward R Chase Dissertation Prize Gosnell Prize for Excellence in Political Methodology Political Analysis Editor's Choice Award Recognition for Excellence in Mentoring Graduate Students As a mentor, Stewart has guided several successful graduate students to faculty positions at institutions including UCLA and Georgetown. His collaborative approach is evident in numerous multi-author projects spanning disciplines from political science to computational linguistics. His leadership extends to the Sociology Statistics Reading Group, which he founded to foster interdisciplinary methodological exchange, and his summer methods camp that trains social scientists in advanced quantitative techniques.

• Quantitative Methods
• Statistical Methods
• Text Analysis
• +5 more

Jindrich Zapletal is a Professor in the Department of Mathematics at the University of Florida, affiliated with the College of Liberal Arts and Sciences. He holds a Ph.D. from The Pennsylvania State University (1995), advised by Thomas Jech. His research focuses on set theory, mathematical logic, and their applications, with specializations in descriptive set theory, combinatorial set theory, and forcing techniques. He is a core member of the UF Logic and Set Theory Group, which organizes the annual South Eastern Logic Symposium (SEALS), funded by the NSF. He teaches advanced courses like Invariant Descriptive Set Theory and has advised numerous graduate students. His work frequently explores consistency results under ZF set theory, chromatic numbers of hypergraphs, and interactions between forcing and topology. He actively contributes to conferences and has co-authored influential textbooks and monographs in set theory and logic. Education: Ph.D., Mathematics, The Pennsylvania State University, 1995 Research Interests: Choiceless set theory, descriptive set theory, forcing with ideals, and combinatorial structures in set theory Professional Roles: Organizer of SEALS conferences, instructor for graduate-level logic courses Grants: NSF Award 1945890 and multiple University of Florida grants Zapletal’s research emphasizes foundational questions in set theory, particularly under weaker axioms like ZF+DC, and their implications for algebra, topology, and combinatorics. His recent work includes studies on chromatic numbers of geometric hypergraphs and the structure of sigma-ideals in Polish spaces. Collaborations span topics like permutation models, game determinacy, and measure-theoretic forcing.

• Set Theory
• Mathematical Logic
• Descriptive Set Theory
• +3 more

Chester E. Finn Jr. is the Volker Senior Fellow (adjunct) at the Hoover Institution, Stanford University. He is a distinguished senior fellow and president emeritus of the Thomas B. Fordham Institute, and former chairman of the Hoover Task Force on K–12 Education. His expertise lies in education policy, reform, school choice, and civics education. He is actively involved in the Working Group on Civics and American Citizenship and the Hoover Education Success Initiative. Volker Senior Fellow (adjunct), Hoover Institution President Emeritus, Thomas B. Fordham Institute Chairman, K-12 Education Task Force (former) Member, National Council on Teacher Quality Member, Core Knowledge Foundation Finn holds a doctorate in education policy from Harvard University, along with degrees in U.S. history and social studies teaching. His research centers on K–12 education reform, with a focus on accountability, standards, charter schools, and civic education. He has authored or co-authored over twenty books, including Assessing the Nation’s Report Card , Learning in the Fast Lane , and How to Educate an American . His recent publications analyze NAEP, civics education, Advanced Placement, gifted learning, and federal education policy. Themes across his work include the decline in academic standards, the need for rigorous accountability, and the importance of informed citizenship. He advocates for evidence-based reform, school choice, and a renewed focus on civic knowledge in American schools. Scientific Awards & Honors: Finn has served on the National Assessment Governing Board (NAGB), including as chair, and has advised federal and state education leaders. He was U.S. Assistant Secretary of Education and professor at Vanderbilt University. His work bridges academic research, policy advocacy, and public commentary. He leads research initiatives on civics education and gifted learners, emphasizing state-level policy reforms. His recent efforts include promoting mastery-based learning, reviving patriotic education, and defending the integrity of NAEP. He frequently collaborates with scholars like Michael J. Petrilli, Brandon L. Wright, and Bruno V. Manno.

• Education Policy
• Education Reform
• K-12 Education
• +10 more

Georges Siotis is an Associate Professor of Economics at the Universidad Carlos III de Madrid and a CEPR Research Fellow in Industrial Organization. He previously served in key roles within the EU Commission, including membership in the Chief Economist's Team (2008–2011) and Senior Economic Advisor to the Greece Task Force (2011–2015). His research focuses on competitive dynamics in the pharmaceutical industry, with emphases on market definition, regulatory policy, and antitrust enforcement. He teaches courses on industrial organization at both undergraduate and master’s levels. His research interests span industrial organization, health economics, and international trade. Notable works analyze how quality differences influence pharmaceutical advertising, the consequences of generic drug entry, and the strategic behavior of firms in regulated markets. Recent studies explore evolving market boundaries and competition policy challenges in the pharmaceutical sector. His publications reflect a deep engagement with EU competition law cases (e.g., Servier, Paroxetine), regulatory frameworks for orphan drugs, and historical globalization patterns. He has contributed to policy discussions on FDI impacts, electricity market liberalization, and regional development strategies within the EU.

• Industrial Organization
• Health Economics
• International Trade
• +3 more

Umut Oguzoglu is a Professor of Economics at the University of Manitoba , with a longstanding affiliation as a Research Fellow at IZA . His research spans labour economics , health economics , economics of education , and applied microeconometric methods . PhD, Economics, University of Guelph MA, Economics, University of Guelph BA, Economics, Marmara University His methodological expertise includes panel data analysis , dynamic modeling , and instrumental variable techniques . Recent projects examine: Intergenerational health behavior transmission Physician relocation impacts on healthcare Sibling sex composition and STEM major choices COVID-19's effect on traffic accidents Gambling-community economic linkages Scientific awards include the 2020 Best Paper Prize from The Economic Record. He has supervised 3 PhD students, 13 MA/MSc students, and served on 16 thesis committees. Major grants include: SSHRC Partnership Grant (2020-2027) for poverty solutions CIHR grant (2020-2023) for lupus employment research Manitoba Gambling Research Program grant (2015)

• Labour Economics
• Health Economics
• Econometrics
• +3 more

Jeffrey M. Timberlake serves as Professor of Sociology and Director of Graduate Studies in the Department of Sociology at the University of Cincinnati. His academic career centers on population dynamics, urban structures, and racial inequality, employing rigorous quantitative methodologies to examine systemic patterns across American metropolitan areas. His leadership in graduate education shapes emerging scholars in sociological research. Dr. Timberlake's educational foundation includes: PhD in Sociology from the University of Chicago (2003) MS in Sociology from the University of Wisconsin-Madison (1998) BA in Social Sciences from the University of Michigan-Ann Arbor (1991) His research program investigates the sociology of population, urban sociology, race and ethnicity, and quantitative methods. Recent work analyzes racial residential segregation, housing discrimination, children's exposure to neighborhood poverty and violence, and demographic shifts from 1970-2020. His publications reveal consistent focus on spatial inequality, ethnoracial dynamics, and policy impacts in housing markets. Analysis of his 15 most recent publications shows dominant themes in residential segregation measurement, racial steering mechanisms, and urban demographic change. Methodologically, he combines longitudinal data analysis with spatial statistics to document evolving patterns of inequality, particularly examining how neighborhood contexts shape life outcomes across racial groups. As Principal Investigator, Dr. Timberlake manages multiple active grants: CDC IPA Agreement w/ NIOSH (2021-2022): $50,000 federal grant Ohio Department of Medicaid Assessment Survey (2022): $45,210 state grant Ohio State University sub-award (2022): $45,210 higher education grant Medicaid Assessment Survey Year Two (2022-2023): $78,904 federal award Medicaid Assessment Survey Years Three-Four (2023-2025): $106,736 state grant and $59,107 federal award His research program demonstrates sustained federal and state funding for empirical studies of housing markets and population dynamics, with current work focused on Ohio Medicaid assessment systems.

• sociology of population
• urban sociology
• race and ethnicity
• +4 more

Dr. Tao Liu is an Assistant Professor in the Department of Mechanical and Manufacturing Engineering at the University of Ontario Institute of Technology, Faculty of Engineering and Applied Science. His research focuses on computational biomechanics, footwear science, wearable technology, and assistive devices. He holds a Ph.D. in Biomechanics (University of Alberta), MSc (Northeastern University), and BSc (Northeastern University) in Mechanical Engineering. Education: Ph.D. (Biomechanics) - University of Alberta MSc (Mechanical Engineering) - Northeastern University BSc (Mechanical Engineering) - Northeastern University Research Interests: Dr. Liu's work integrates computational modeling, biomechanical analysis, and medical device design. Key areas include musculoskeletal modeling, finite element analysis of orthopedic implants, and optimizing wearable technologies for clinical applications. His research emphasizes translating biomechanical insights into practical solutions for rehabilitation and sports performance. Key Achievements: 2024 Editor’s Choice Award (Journal of Medical & Biological Engineering & Computing) 2022 Mitacs Accelerate Award (Canada) Shortlisted for REHAB Innovation to commercialization (2021) and Calgary Life Science Fellowship (2020) Recipient of 2013 UAV Innovation Grand Prix (national level) Research Contributions: His publications span musculoskeletal modeling validation, implant design optimization, and biomechanical analysis of footwear and spinal mechanics. Recent work emphasizes subject-specific modeling techniques and clinical validation of biomedical devices.

• Computational biomechanics
• Footwear science
• Wearable technology
• +3 more

Dr. Anke Plagnol is a Senior Lecturer in Psychology at City St George’s, University of London , with a research focus at the intersection of psychology, economics, and sociology . Her work examines how individual choices —particularly regarding labour participation, financial satisfaction, gender equality , and well-being —impact life satisfaction and broader societal outcomes. Education: PhD in Economics (2007), MA in Economics (2005), BA in European Economic Studies (2001). Academic Career: Joined City University London in 2013, promoted to Senior Lecturer in 2019. Her research has been funded by the Leverhulme Trust and the Isaac Newton Trust , focusing on female labour force participation , work-life conflict , and the subjective well-being political paradox . She has also contributed to studies on immigrant satisfaction , social media effects , and volunteering behavior . Recent publications include work on financial satisfaction in Latin America , female computer science students , and health and happiness in diverse populations. Her methodological approach integrates quantitative and qualitative techniques , emphasizing the importance of mixed methods in well-being research. Key Awards: Leverhulme Trust Early Career Fellowship (2010–2013) Isaac Newton Trust Matching Funding (2010–2013) Research Fellow at Darwin College, Cambridge

• Subjective well-being
• Behavioural economics
• Positive psychology
• +3 more

Matilde P. Machado is an Associate Professor in the Department of Economics at Universidad Carlos III de Madrid and Director of the Master in Health Assessment and Market Access. She holds a PhD in Economics from Boston University. Her research focuses on Health Economics, Applied Microeconometrics, and the intersection of Education, Labor, and Gender from an Economic History perspective. She led a CAF-funded project on 'Intergenerational Mobility in Latin America' with Ricardo Mora and Karen Olivo. Teaching includes undergraduate courses in Health Economics (taught in both Spanish and English) and postgraduate courses in Industrial Economics (in English). Recent work explores historical parish records to analyze female labor force participation and maternal influences. Her research spans topics such as hospital quality measurement, moral hazard in health services, and healthcare efficiency.

• Health Economics
• Applied Microeconometrics
• Reproductive Health
• +4 more

Denny Yu is an Associate Professor at the Edwardson School of Industrial Engineering, Purdue University. His work bridges human factors, neuroergonomics, and healthcare safety through advanced sensor systems and AI. Primary Affiliation : Edwardson School of Industrial Engineering, Purdue University Research Themes : Surgical ergonomics, autonomous vehicle human factors, cognitive workload assessment, multimodal physiological sensing Dr. Yu's research focuses on neuroergonomics and human-robot interaction , particularly in surgical and transportation contexts. His team develops sensor-based systems for workload monitoring, including: EEG-eye tracking fusion for situation awareness Wearable exoskeletons for surgical posture support Computer vision tools for lifting task risk analysis Smart infusion pump usability frameworks AI-driven surgical coaching systems Recent publications emphasize deep learning applications in soft tissue deformation estimation and real-time adaptive systems for robotic surgery augmentation. His work spans both occupational health (veterinary surgeons, airport workers) and medical device innovation domains.

• Human Factors Engineering
• Neuroergonomics
• Robotic Surgery
• +3 more

Alberto Maydeu Olivares is a Professor at the Department of Clinical Psychology and Psychobiology, Universitat de Barcelona, within the Faculty of Psychology. He leads the Violence, Behavior, Individual differences and Technology Studies (WITS) research group. His expertise spans psychometrics, structural equation modeling (SEM), and item response theory (IRT). He holds a Licenciatura in Psychology from the Universitat de Barcelona (1988), a Doctorat in Quantitative Psychology from the same institution (1991), and advanced degrees from the University of Illinois, including a Ph.D. in Quantitative Psychology (1997) and masters in Mathematical Statistics and Quantitative Psychology. His research focuses on improving psychological measurement methods, evaluating model fit in SEM/IRT, and addressing methodological challenges in behavioral data. Notable projects include NSF-funded work on SEM fit indices (2017–2020) and AGAUR-supported studies on IRT applications (2014–2017). He teaches advanced courses like Multivariate Analysis and Structural Equation Models at the master’s level. Maydeu Olivares has authored influential papers on goodness-of-fit assessment, causal effect estimation via instrumental variables, and forced-choice test design. His work bridges statistical rigor with practical applications in psychology, addressing issues like faking in assessments and common method bias. He actively contributes to methodological advancements, emphasizing transparent and robust statistical practices.

• Psychometrics
• Structural Equation Modeling
• Item Response Theory
• +3 more

Dr. Jun Le Goh is an Assistant Professor in the Department of Mathematics at the National University of Singapore (NUS). His research focuses on mathematical logic, set theory, computational complexity, computability theory, and combinatorics. He holds a Bachelor of Science (Honors, Class 1) from NUS (2013) and a Ph.D. in Mathematics from Cornell University (2019). His work bridges foundational areas of mathematics with computability theory, particularly in reverse mathematics and Weihrauch reducibility. Notable contributions include analyzing the complexity of Halin's infinite ray theorems, studying descending sequences in ill-founded linear orders, and exploring enumeration oracles in PA relativization. His research often intersects with proof theory, recursion theory, and algorithmic information theory. Dr. Goh collaborates with institutions globally, publishing in journals like the Journal of Mathematical Logic, Annals of Pure and Applied Logic, and Computability. His preprints and conference proceedings further highlight his engagement with cutting-edge topics in computability and logic.

• Mathematical Logic
• Set Theory
• Lattices and Universal Algebra
• +4 more

Dr. Chia-Wen Chen is a Psychometrician at the Psychometrics Centre within the Cambridge Judge Business School , specializing in Executive Education. Originally from Taiwan, he holds a PhD in Psychometrics from the Education University of Hong Kong (2018), preceded by a master's degree in Psychology from National Chung Cheng University (2012). His career spans institutions in Taiwan, Hong Kong, Norway, and the UK, including postdoctoral research at the University of Oslo's Centre for Educational Measurement (2019-2023). PhD in Psychometrics (2018), Education University of Hong Kong MSc in Psychology (2012), National Chung Cheng University Postdoctoral Researcher (2019-2023), University of Oslo Chia-Wen's research focuses on Item Response Theory (IRT) models for forced-choice and compositional items , with applications in computerized adaptive testing (CAT) , differential item functioning (DIF) , and multilevel modeling . His work includes developing novel IRT methods for ranking items and Most-Least formats, addressing reliability/validity in educational scales like the Principal Instructional Management Rating Scale (PIMRS), and analyzing large-scale datasets (PISA) for cross-national educational insights. Recent publications demonstrate expertise in ipsative testing , online parameter estimation , and factor mixture modeling for educational diagnostics. He has also contributed to methodologies for CAT algorithms in educational evaluation and fault line analysis in school leadership teams.

• Item Response Theory
• Forced-Choice Items
• Computerized Adaptive Testing
• +3 more