جست‌وجوی استاد و پژوهشگر

Martin T. Wellsمشاهده پروفایل

استاد

• Applied Statistics
• Theoretical Statistics
• Bayesian Statistics
• +۷ مورد دیگر

Martin T. Wells is the Charles A. Alexander Professor of Statistical Sciences at Cornell University, with joint appointments in the Department of Statistical Science, Department of Biological Statistics and Computational Biology, Department of Social Statistics, and as Professor of Clinical Epidemiology and Health Services Research at Weill Medical School. He serves as Editor-in-Chief of the ASA-SIAM Book Series and Co-Editor of the Journal of Empirical Legal Studies. Cornell University, Ithaca, NY Weill Cornell Medical College Research Interests span applied and theoretical statistics, Bayesian methods, biostatistics, clinical epidemiology, and computational biology. His work bridges disciplines like finance, legal studies, and health services research. Article Trends highlight advancements in Bayesian modeling, quantum cognition machine learning, tensor analysis, and misclassification correction, with applications in genomics, finance, and public health. Fellow of the American Statistical Association Fellow of the Royal Statistical Society Contributions include developing statistical software (e.g., rTensor), methodological innovations in clinical trials, and empirical legal studies on civil rights and the death penalty.

Deniz Onesمشاهده پروفایل

استاد

• Counterproductive work behaviors
• Employment integrity testing
• Personality assessment
• +۴ مورد دیگر

Deniz Ones is a Professor in the Department of Psychology at the University of Minnesota's College of Liberal Arts (Twin Cities campus). Her research focuses on organizational psychology, particularly counterproductive work behaviors, employment integrity testing, and personnel selection. Specialties: personality assessment, meta-analysis, employee retention, and organizational decision-making She teaches courses including: Psy 4993 - Directed Study in I/O Psychology Psy 5701 - Organizational Staffing Psy 8701 - Seminar in Industrial and Organizational Psychology Psy 8993 - Directed Study in I/O Psychology She holds the Lowell W. Hellervik/Personnel Decisions, Inc. Professorship in Organizational and Counseling Psychology.

Peter Billingsمشاهده پروفایل

استاد

• Administrative Law
• Immigration and Refugee Law
• Social Welfare Law
• +۳ مورد دیگر

Professor Peter Billings is a Professor at the School of Law, The University of Queensland, and a Fellow of the Higher Education Academy. His expertise spans Administrative Law, Immigration and Refugee Law, Social Welfare Law, and Human Rights Law. He has received numerous awards, including the Australian Award for University Teaching (2016) and the Vice Chancellor's Equity and Diversity Award (2011). His research focuses on crimmigration, refugee protection, and the corrosive effects of immigration detention laws. Professor Billings has published extensively on topics such as refugee law, preventive justice, and the intersection of criminal and immigration law. Education: Bachelor of Law and Doctor of Philosophy from the University of Southampton. Research Interests Immigration and Refugee Law Crimmigration (intersection of criminal and immigration law) Administrative Justice and Law Social Welfare Law Aboriginal and Torres Strait Islander Legal Issues Media Expertise Regular contributor to The Guardian and ABC Radio National, providing expert commentary on immigration detention, refugee policies, and human rights. Grants and Funding Building research capacity for quantitative analysis of Indigenous poverty (2011–2013) Critical evaluation of administrative rules (2011–2013) Aboriginal protection laws study (2008–2009) Supervision Currently supervising PhD projects on refugee employment integration, immigration detention governance, and international law on migrant smuggling. Key Contributions Authored Regulating Refugee Protection through Social Welfare (2023) and contributed to pivotal discussions on immigration detention's societal impacts. His work informs policy reforms and legal frameworks in Australia.

Michael J Pekrisمشاهده پروفایل

مدرس ارشد

• Environmental Technologies
• Sustainable Aviation
• Fluid Dynamics
• +۷ مورد دیگر

Dr. Michael J Pekris is a Senior Lecturer in Mechanical Engineering Sciences at the University of Surrey, serving as Director of Employability within the School of Engineering. He holds a MEng and DPhil from the University of Oxford (2004), with a thesis on liquid crystal heat transfer in turbine blade cooling. His career includes R&D roles at Rolls-Royce, focusing on advanced seal technology and engine efficiency. He is a Chartered Engineer (CEng), Fellow of the IMechE (2023), and Fellow of the Higher Education Academy (FHEA). His research spans sustainable aviation, fluid dynamics, and heat transfer, with a focus on brush seals, hydrogen-fueled aircraft, and transcritical CO2 systems. He leads the Surrey Aerothermal Test Facility (SATF) and collaborates on projects like the Surrey Hydrogen Aircraft Performance Evaluator (SHAPE). He also serves as IMechE Academic Liaison Officer and Royal Academy of Engineering Visiting Professor Scheme Champion. Research interests include environmental technologies for aero-engine seals, sustainable aviation (electric/hydrogen), fluid dynamics, thermodynamic cycles, and rotating machinery. His work addresses energy efficiency, waste heat recovery, and low-emission propulsion systems. Notable contributions include Rolls-Royce Innovation Award (2013) and patents on seal technology. He actively engages in professional development initiatives and industry-academia partnerships. Publications emphasize seal dynamics, CFD modeling, and thermal management. Recent work explores hydrogen-fueled aircraft viability and CO2-based power systems. Collaborations involve Rolls-Royce, ASME Turbo Expo, and Surrey’s interdisciplinary engineering teams. His academic roles include teaching Structural Vibrations and Engineering Management, and advising the Professional Training Year module.

• Educational Science
• Empirical Research in Education
• Student Motivation
• +۵ مورد دیگر

Rainer Watermann is a Full Professor for Empirical Research in Education at the Free University of Berlin since 2011, previously serving as Full Professor for Education and Empirical Research in Schools at Georg-August University of Göttingen (2005-2011). His academic career includes significant research positions at the Max Planck Institute for Human Development in Berlin (1997-2005). Watermann earned his Diploma in Educational Science from the University of Münster (1996), followed by a Dr. phil (2002) and Habilitation (2005), both from Freie Universität Berlin. His educational background established the foundation for his extensive research in educational transitions and disparities. His research focuses on educational transitions, particularly from primary to secondary school and into higher education, examining motivational factors, social background influences, and achievement goal development. Watermann's work consistently addresses how social disparities affect educational opportunities and outcomes, with particular attention to gender differences and longitudinal developmental patterns. His methodological expertise includes latent class analysis, structural equation modeling, and large-scale assessment design. Watermann's publication portfolio reveals consistent research trajectories examining motivational frameworks (particularly expectancy-value theory), educational transitions, social disparities in education, and political socialization. His work spans both theoretical development and practical applications for educational policy and practice, with increasing focus on intervention effectiveness in recent years. As an active member of the academic community, Watermann serves on multiple editorial boards including the Swiss Journal for Educational Sciences and Empirical Educational Science , and regularly reviews for major educational and psychological journals. He has also contributed to significant research centers, including serving as spokesman for the Center for Empirical Research on Teaching and Learning in Schools (ZeUS) at the University of Göttingen (2008-2010). Watermann maintains an active research program with numerous collaborations across Germany and internationally, evidenced by his consistent publication record through 2025. His work bridges educational psychology, sociology of education, and policy-relevant research, maintaining strong connections between theoretical frameworks and practical educational contexts.

• Artificial Intelligence
• Marketing Analytics
• Digital Marketing
• +۴ مورد دیگر

Natasha Zhang Foutz is a Research Associate Professor of Commerce at the McIntire School of Commerce, University of Virginia . Her work bridges Artificial Intelligence , Marketing Analytics , and Consumer Behavior , with a focus on Digital Content and Location-Based Services . She teaches Marketing Analytics , Entertainment Marketing , and Marketing Models across undergraduate to PhD programs. Ph.D. in Marketing, Cornell University M.S. in Statistics & Marketing, Cornell University B.S. in Economics, Fudan University Her research investigates: AI-Powered Entertainment Marketing : Using machine learning to analyze consumer behavior in digital content. Privacy and Ethical Data Use : Studying consumer trade-offs between privacy and public good, especially during crises like the COVID-19 pandemic . Location Analytics : Leveraging mobile data for urban economics, real estate, and emergency response modeling (e.g., MobiRescue for disaster logistics). Prosocial Consumer Behavior : Exploring how social capital and diversity drive innovation and policy compliance. Recent publications highlight trends in Reinforcement Learning for crisis management, Privacy-Preserving AI , and Freemium Pricing Models in digital markets. Her awards include the 2025 UVA Outstanding Researcher Award and the 2018 Mallen Award for motion picture studies. Natasha serves as an Area Editor for multiple journals, emphasizing Data Science in marketing. She has advised numerous PhD students and collaborated on projects analyzing Big Data in consumer mobility and platform economics.

• Tax Law
• Corporate Tax
• International Tax Law
• +۵ مورد دیگر

Univ.-Prof. Dr. Claus Staringer is Professor of Tax Law with a special focus on Corporate Tax at the Vienna University of Economics and Business Administration (WU Wien). He has served as Head of the Corporate Tax Group and Deputy Chairman of the Department of Austrian and International Tax Law since 2003, and as Director for legal Doctoral Studies since 2005. Additionally, he has been a Principal Consultant at Freshfields Bruckhaus Deringer since 2001, maintaining a strong connection between academic research and professional practice in international tax law. Staringer earned his Mag.iur. in Economics and Law from the Vienna University of Economics and Business Administration and University of Vienna, followed by a Dr. iur. with excellence (thesis: "Einlagen und Umgründungen") and habilitation in Tax Law (thesis: "Besteuerung doppelt ansässiger Kapitalgesellschaften"). His academic journey includes assistant positions at both WU Wien and the University of Vienna, blending academic rigor with practical insights from his work at Deloitte and Freshfields. His research focuses on international tax law, particularly corporate taxation, double taxation agreements, and European tax coordination. Staringer has made significant contributions to understanding dual resident corporations, cross-border reorganizations, and the interaction between EU law and tax treaties. His work bridges theoretical frameworks with practical applications in multinational tax planning and compliance. Staringer's publication record shows consistent scholarly output with emphasis on European tax developments, treaty interpretation, and corporate restructuring. His recent work addresses emerging challenges including digital economy taxation, minimum global taxation, and sustainability reporting implications for tax systems. The publications demonstrate methodological rigor with thorough analysis of case law from the European Court of Justice and international tax tribunals. Rudolf Sallinger Award (1994) for Doctoral Thesis Mitchell B. Carroll Prize of the International Fiscal Association (1999) Albert Hensel Prize of Deutsche Steuerjuristische Gesellschaft (1999) Gerhard Thoma Prize of German Institute of Tax Consultants (1999) Award for academic achievements from IFA National Committee (2000) Award for "Innovative Teaching" at WU Wien (2006) Staringer has been instrumental in developing the European Tax Moot Court program and has supervised numerous doctoral candidates through his role as Director of legal Doctoral Studies. His professional engagements include significant contributions to EU tax policy discussions, particularly regarding the Common Consolidated Corporate Tax Base (CCCTB) and the implementation of the OECD's BEPS recommendations in European jurisdictions. He leads the Corporate Tax Group at WU Wien, which has established itself as a leading research center for Austrian and international tax law. The group regularly organizes the Vienna Symposium on International Tax Law and contributes to major research projects on international tax coordination, including EU-funded initiatives examining cross-border tax challenges in the single market.

Emmanuel Saezمشاهده پروفایل

استاد

• Income and Wealth Inequality
• Optimal Taxation
• Empirical Public Policy
• +۸ مورد دیگر

Emmanuel Saez is a Professor of Economics and Director of the Stone Center on Wealth and Income Inequality at the University of California, Berkeley , where he has been a leading figure in the Department of Economics within the College of Letters and Science. His research is foundational in the study of income and wealth inequality, optimal taxation, and empirical public policy. His academic journey began with a PhD from MIT in 1999. His work, particularly in collaboration with Thomas Piketty and Gabriel Zucman, has revolutionized how economists measure and understand economic inequality. He is best known for constructing long-term top income share series, which reveal the dramatic rise in U.S. inequality since the 1980s. His influential 2019 book, The Triumph of Injustice , co-authored with Gabriel Zucman, presents a compelling critique of the decline in U.S. progressive taxation and proposes bold policy reforms for the 21st century. Saez's recent research spans a wide range of topics including real-time inequality measurement, wealth tax enforcement, labor market dynamics for older workers, and macroeconomic models of unemployment. His publications, often appearing in top journals like the Quarterly Journal of Economics , American Economic Review , and Brookings Papers on Economic Activity , consistently focus on empirical analysis with direct policy relevance. His work shows a strong trend toward integrating macroeconomic models with distributional data and evaluating the real-world impact of fiscal and social policies. John Bates Clark Medal, American Economic Association, 2009 MacArthur 'Genius' Fellowship, 2010 Honorary degree from Harvard University, 2019 Saez is deeply involved in mentoring and advising, though specific student names are not listed in the provided texts. He has been instrumental in major data initiatives such as the World Inequality Database (WID.world) and Real-Time Inequality , which provide open-access, high-quality data on economic distribution. He has also secured significant research funding from foundations like the Bill & Melinda Gates Foundation, the Russell Sage Foundation, and the Alfred P. Sloan Foundation. He leads the Stone Center on Wealth and Income Inequality, fostering interdisciplinary research on economic disparity.

Cesla Amarelleمشاهده پروفایل

استاد

• Migration Law
• Human Rights
• Constitutional Law
• +۵ مورد دیگر

Cesla Amarelle serves as Full Professor and Chairholder of Public Law and Migration Law at the University of Neuchâtel's Faculty of Law. Her academic leadership extends to co-directing the Swiss Center for Migration Law (CDM) and contributing to national research initiatives including the National Center of Competence in Research (NCCR) 'On the Move'. She concurrently holds significant public appointments as Chair of the Institute of European Law at the University of Fribourg and Federal Commissioner for Women's Issues, with recent expert designation to the Federal Round Table on signature collection integrity for 2024. Her academic foundation includes a law degree from the University of Lausanne (1996), LL.M. in European and International Economic Law from the University of Fribourg, and doctoral thesis from the University of Lausanne (2004). Her career progression at the University of Neuchâtel spans assistant professor (2009-2014), extraordinary professor (2015-2016), and full professor positions since 2016, complemented by earlier research roles at Swiss National Science Foundation and University of Fribourg. Professor Amarelle's research centers on migration law frameworks, human rights protections in asylum systems, and constitutional dimensions of European integration. Her work critically examines the intersection of migration governance with digital technologies, climate change impacts, and gender equality. Current projects analyze temporary protection regimes, non-refoulement principles in technological contexts, and the evolving relationship between Swiss migration law and European legal frameworks. Her scholarship consistently bridges theoretical legal analysis with practical policy implementation challenges. Her extensive publication record demonstrates evolving focus from foundational migration law codification toward contemporary challenges including digital discrimination, child rights in emergency contexts, and sustainable finance frameworks. Recent scholarship reflects increasing engagement with technological impacts on migration governance and the humanitarian dimensions of temporary protection systems, while maintaining rigorous analysis of constitutional and European law interfaces. Professor Amarelle actively contributes to academic and public discourse through leadership in the Swiss Center for Migration Law and participation in the NCCR 'On the Move' consortium. Her public service includes significant political roles as Vaud State Councilor for Education (2017-2022) and National Councilor (2011-2017), where she chaired key committees on political institutions and finance while representing Swiss higher education interests nationally. She maintains active engagement with professional associations including the Swiss Conference of Higher Education Institutions and Conference of Directors of Public Education.

• Causal Analysis
• Econometrics
• Machine Learning
• +۷ مورد دیگر

Martin Huber is Professor of Applied Econometrics and Policy Evaluation at the University of Fribourg, Switzerland, within the Faculty of Management, Economics and Social Sciences, Department of Economics. He leads the Chair of Applied Econometrics and maintains an active research profile with numerous publications in top economics and statistics journals. His work bridges theoretical econometrics with practical policy applications across multiple domains including labor, health, and education economics. Professor Huber earned his Ph.D. in Economics and Finance in 2010 and served as Assistant Professor at the University of St. Gallen until 2014. He has conducted research stays at Harvard University (2011/2012) and the University of Sydney (2014 and 2019), establishing an international research network. His academic affiliations include the Committee for Econometrics of the Verein für Socialpolitik, Global Labor Organization, Soda Labs (Monash Business School), and Centre for European Economic Research (ZEW) Mannheim. Huber's research focuses on data-based causal analysis , machine learning applications in economics , and policy evaluation methods . He specializes in developing and applying statistical and econometric methods for measuring causal effects, with particular emphasis on semi- and nonparametric microeconometrics. His work spans labor economics (gender occupational segregation, maternal labor supply), health economics, education policy, and competition policy (bid-rigging cartels detection). His recent publications (2023-2025) demonstrate a clear trajectory toward integrating machine learning techniques with traditional econometric methods for causal inference. This includes developing frameworks for causal discovery, improving difference-in-differences methods with machine learning, and creating novel approaches for detecting collusion in markets. His 2023 book "Causal Analysis: Impact Evaluation and Causal Machine Learning with Applications in R" (MIT Press) has become a key reference in the field. As an active researcher, Professor Huber directs several research projects including experimental evaluations of gender occupational segregation in the Swiss apprenticeship market. His work combines theoretical rigor with practical policy relevance, often employing experimental and quasi-experimental methods to address questions of causal mechanisms in social and economic phenomena. Through his Chair of Applied Econometrics, Huber supervises Ph.D. students and maintains an active research group focused on advancing causal inference methodologies. His work has significant implications for evidence-based policymaking across multiple sectors, particularly in evaluating the effectiveness of social programs and economic policies.

Jörg Spenkuchمشاهده پروفایل

دانشیار

• Political Economy
• Applied Microeconomics
• Behavioral Economics
• +۴ مورد دیگر

Jörg Spenkuch is an Associate Professor of Managerial Economics & Decision Sciences at Kellogg School of Management, Northwestern University, where he has been since 2013. He holds a Ph.D. in Economics (2013) and M.A. (2009) from the University of Chicago, and dual B.A. degrees in Economics and Business Administration (2007) from the University of St. Gallen, Switzerland. Education: Ph.D., 2013, Economics, University of Chicago M.A., 2009, Economics, University of Chicago B.A., 2007, Economics, University of St. Gallen B.A., 2007, Business Administration, University of St. Gallen Professor Spenkuch's research bridges political economy and applied microeconomics , with a focus on ideological behavior, strategic decision-making, and social dynamics. His work examines topics like: Political Economy: Campaign finance, electoral accountability, and ideological sorting. Behavioral Economics: Satisficing behavior, memory-driven choices, and strategic voting. Public Policy: School desegregation effects, bureaucratic performance, and immigration-crime linkages. His recent publications analyze: Long-term ideological shifts from 1975 school desegregation (2025 working paper). Memory premiums in decision-making (2025 working paper). Complexity's role in chess strategy (2024 Review of Economic Studies ). Political accountability during natural disasters (2025 American Economic Journal ). Scientific Recognition: MinE Best Paper Award (European Economic Association) Chair's Core Teaching Award Deutschlands "Top 40 unter 40" (Capital magazine) FEEM Award (European Economic Association) Best Paper Award, RGS Doctoral Conference At Kellogg, he teaches Leadership and Crisis Management (PACT-440-5) and Business Analytics (DECS-435-0). His work has been published in top journals like Econometrica , American Economic Review , Quarterly Journal of Economics , and Review of Economic Studies , covering topics from partisan spatial sorting to expressive vs. strategic voting behavior.

Donya Hajializadehمشاهده پروفایل

دانشیار

• Structural Health Monitoring
• Machine Learning
• Asset Management Systems
• +۴ مورد دیگر

Dr Donya Hajializadeh is an Associate Professor of Structural Engineering at the University of Surrey's School of Sustainability, Civil and Environmental Engineering. She holds multiple professional qualifications including Chartered Engineer (CEng) and European Engineer (EUR ING), and is a Fellow of the Higher Education Academy (FHEA). Her roles include Director of Employability (since 2020), Deputy Coordinator of the Surrey/ICE Scholarship (since 2019), and IStructE Liaison Officer (since 2021). She is also affiliated with the Surrey Institute for People-Centred Artificial Intelligence (PAI). Her education includes a BEng (Hons), MEng, and PhD in relevant fields. Research focuses on structural health monitoring (SHM), machine learning applications in asset management, and deep learning for damage identification. Key areas include railway bridge dynamics, vibration analysis, and resilience assessment under seismic and environmental hazards. Current PhD students include Chia Sadik (Transport Infrastructure Failure Assessment) and Michael Millgate (Dynamic Characterisation of Tall RC Buildings). Teaching responsibilities include ENG1073 Fluid Mechanics and ENGM054 Earthquake Engineering. Research aligns with sustainable development goals, emphasizing infrastructure sustainability and carbon reduction strategies. Notable projects include rail bridge innovation recognized by the Chief Scientific Adviser Award and presentations on damage identification techniques to government officials. She contributes actively to interdisciplinary initiatives, integrating AI with civil engineering for smarter infrastructure solutions.

Jung Hyup Kimمشاهده پروفایل

دانشیار

• Ergonomics
• Human Factors
• Human-Computer Interaction
• +۱۲ مورد دیگر

Jung Hyup Kim is an Associate Professor in the Department of Industrial and Systems Engineering at the University of Missouri, College of Engineering. His research integrates human factors, ergonomics, and augmented reality to enhance engineering education and healthcare systems. He leads the Human Factors Lab and is actively involved in curriculum innovation through immersive technologies. Education: PhD, Pennsylvania State University BS, Mississippi State University Dr. Kim’s research centers on ergonomics, human-computer interaction, and real-time human performance modeling . He investigates how eye-tracking, motion analysis, and augmented reality can be used to assess workload, situation awareness, and learning effectiveness in real-world environments. His work bridges engineering systems with cognitive science, particularly in educational and healthcare contexts. His recent research, reflected in 15 reconstructed articles, demonstrates a strong trend toward augmented reality in engineering education , with focus areas including real-time motion tracking, eye-tracking for attention monitoring, metacognition in virtual instruction, and posture-based physical demand assessment. These efforts aim to transform traditional lab experiences into interactive, data-driven learning environments. Scientific Awards: No awards explicitly mentioned in the text. Dr. Kim has secured research funding from the National Science Foundation (NSF) , the National Institutes of Health (NIH) , and corporate sponsors such as Honeywell and Missouri Employers Mutual . He advises students like RJ Morrison and Madeline Easley, who have presented at national conferences and won research competitions. His lab develops AR-based teaching modules that assess student engagement and comprehension through biometric and behavioral data. His lab, the Human Factors Lab ( humanfactorslab.net ), is developing a new AR-integrated facility in Lafferre Hall with stations for interactive learning, real-time feedback, and performance testing. The lab aims to create scalable AR systems applicable across Mizzou Engineering disciplines.

• Environmental Epidemiology
• Children's Environmental Health
• Molecular Epidemiology
• +۳ مورد دیگر

Margaret Karagas, PhD is the inaugural Department Chair and James W. Squires Professor of Epidemiology at the Geisel School of Medicine at Dartmouth College, with a secondary appointment as Professor of Community and Family Medicine. She also serves as Director of both the Children's Environmental Health and Disease Prevention Research Center and the Center for Molecular Epidemiology at Dartmouth. Her leadership extends to the NIH-funded Environmental Influences on Child Health Outcomes (ECHO) Program, which encompasses over 90,000 participants across the United States. Dr. Karagas earned her PhD from the University of Washington in 1990 and has established herself as a leading researcher in environmental epidemiology. She collaboratively developed an innovative cross-disciplinary postdoctoral and graduate program in Quantitative Biomedical Sciences (QBS) that integrates epidemiology, bioinformatics, and bistatistics. Her research focuses on interdisciplinary studies investigating environmental exposures, host factors, and biological mechanisms affecting health from infancy through adulthood, with particular emphasis on under-studied rural populations. Dr. Karagas employs high-dimensional analytic tools along with biomarkers and sensors to study the exposome, genetic susceptibility, and biological response. Her work has uncovered adverse cardiometabolic, neurodevelopmental, and immune-related health outcomes associated with drinking water contaminants, food-borne toxicants (including in infant first foods), and exposures from woodstoves. Analysis of her recent publications reveals a strong focus on environmental health impacts across the lifespan, with significant contributions to understanding how environmental exposures affect child development, chronic disease risk, and health disparities. Her work frequently employs advanced molecular and analytical techniques to assess environmental exposures and their biological consequences. Dr. Karagas serves on numerous prestigious international consensus panels and committees, including those for the United Nations, World Health Organization, International Agency for Research on Cancer, European Food Safety Authority, US National Institutes of Health, and National Academies of Science, Engineering and Medicine. As an academic leader, she has mentored diverse investigators at all career stages and established innovative training programs. Her research has directly contributed to practice and policy changes regarding environmental health threats. She maintains active collaborations across multiple centers at Dartmouth including the Dartmouth Toxic Metals Superfund Research Program and Dartmouth SYNERGY.

Stijn Baertمشاهده پروفایل

استاد

• Labor Economics
• Employment Policy
• Discrimination
• +۵ مورد دیگر

Stijn Baert is a Full-Time Professor of Empirical Labor Economics at Ghent University and a Part-Time Professor at the University of Antwerp. He leads UGent@Work, a research network of 30 professors analyzing labor market dynamics. Affiliated with institutions like Université catholique de Louvain, GLO, IMISCOE, and IZA, Baert's work bridges academic rigor with policy impact. Doctorate in Economics (2013), Ghent University Master's in Economics (2008), Ghent University Civil Engineering Degree (2006), Ghent University His research focuses on labor market discrimination , unemployment consequences , and work-health intersections . He has published in European Economic Review , Health Economics , and Social Science & Medicine , with over 1,000 annual citations. Baert's policy work includes proposals for degressive unemployment benefits and sector-specific practical tests to address discrimination. Key articles highlight AI's labor market impact, parenthood's career effects, and compressed work schedules. His awards include the Rotary Science Award (2020) and multiple recognitions for doctoral research. He is a frequent media commentator, with over 7,500 citations in national/international outlets, and a top 1% globally influential economist. 2020: Ranked Second Among Flemish Thought Leaders 2019: Included in Trends Magazine’s Top 30 Belgian Thirty-Somethings 2014: Charles Ullens Prize 2013: P&V Foundation Prize Baert's advocacy includes evidence-based labor market reforms, participation in Flemish recovery committees, and public engagement through YouTube videos and media interviews. His work on AI in the workplace (2025) reveals that 52% of men but only 40% of women use AI, with 21% finding AI brainstorming more productive than human collaboration.