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Karen S. CookView profile

Professor

• Social Psychology
• Trust Research
• Social Networks
• +4 more

Karen S. Cook is the Ray Lyman Wilbur Professor of Sociology at Stanford University and founding Director of the Institute for Research in the Social Sciences (IRiSS). With a B.A., M.A., and Ph.D. from Stanford, her research bridges Social Psychology Trust Research Economic Sociology Social Networks Rational Choice Theory She has edited influential books in the Russell Sage Foundation Trust Series, including Trust in Society and eTrust: Forming Relationships in the Online World , and co-authored Cooperation without Trust? . Her work examines trust in economic organizations, strategic alliances, and digital contexts. Karen's recent publications focus on AI-era trust dynamics Institutional trustworthiness Universal Design for Learning equity Cross-cultural solidarity Behavioral economics of trust as seen in journals like Annual Review of Sociology and PNAS . She has received multiple honors: Elected to the American Academy of Arts and Sciences (1996) National Academy of Sciences (2007) ASA Cooley Mead Award (2004) American Philosophical Society (2018) Her collaborations span scholars like Oliver Schilke, Jessica Santana, and Bruno Abrahao, with research funded by institutions including the Russell Sage Foundation where she serves on the Board of Trustees (2012-present).

• Psychophysiological Safety
• Occupational Safety
• Civil Defense
• +3 more

Yuriy Vyacheslavovich Yakimtsov is an Associate Professor at the Department of Labor Protection and Environment within the Faculty of Construction, Architecture and Design at National University Zaporizhzhia Polytechnic. With academic credentials including a Candidate of Technical Sciences degree, he has been actively contributing to the university since 2000. His professional journey reflects a progression from technical engineering fields to specialized safety and civil defense expertise. Zaporizhia State Technical University, Radio Electronics and Telecommunications Zaporizhia State Technical University, Computer Sciences and Technologies Zaporizhia National Technical University, Humanitarian and Legal (2012) Yakimtsov's research interests focus on psychophysiological qualities of humans and their impact on personal safety, energy-efficient technologies and resource conservation, and resource-logistical support for construction and reconstruction. His work demonstrates a significant shift toward addressing safety challenges in conflict zones, particularly examining occupational safety in frontline educational institutions and civil defense during wartime conditions. This evolution reflects both his academic growth and the changing circumstances in Ukraine. His publication record shows consistent scholarly output with 43 scientific works, including 3 textbooks. Recent publications (2023-2025) increasingly address wartime safety challenges, civil defense in conflict zones, and psychological safety in educational settings near frontlines. This represents a clear adaptation of his expertise to Ukraine's current realities. Breastplate "For impeccable work" of the 3rd degree (2020) Certificate of Honor from Zaporizhia City Council (2018) Certificate from Department of Civil Protection (2021) Certificate from Oleksandrivskyi district administration (2022) Gratitude of National University Zaporizhzhia Polytechnic (2023) Yakimtsov actively participates in professional development, with recent certifications in academic integrity, labor protection, and occupational safety. He is an associate member of the European Society for Occupational Safety and Health (ESOSH) and regularly participates in international conferences focused on safety, civil defense, and construction technologies. His teaching responsibilities include Occupational Safety for Specialists, Civil Defense and Labor Protection, and Protection of Population, Territories, Environment, and Production Safety.

• Logistics
• Production Technologies
• Automatic production lines
• +6 more

Professor Srećko Ćurčić serves as a Full Professor in the Department of Mechatronics at the Faculty of Technical Sciences, University of Kragujevac, Serbia. With over 30 years of academic experience, he has established himself as a leading expert in logistics and production technologies, with particular focus on sustainable engineering solutions and biomass utilization. Dr. Ćurčić earned his Mechanical Engineering degree from the University of Belgrade (1982-1987), completed his M.Sc. in Production Technologies at the Technical Faculty in Čačak in 1996, and defended his Ph.D. dissertation on reengineering of automatic production lines at the Mechanical Engineering Faculty in Kragujevac in 2001. His research primarily focuses on logistics systems, automatic production lines, and sustainable utilization of biomass resources. Dr. Ćurčić has developed innovative approaches for converting agricultural waste, particularly raspberry and blackberry cuttings, into valuable products like pellets, briquettes, and thermal insulation boards. His work bridges engineering principles with environmental sustainability, addressing critical challenges in renewable energy and waste management. Analysis of his recent publications reveals a strong trend toward sustainable engineering solutions, with particular emphasis on biomass conversion technologies, renewable energy systems, and smart agricultural practices. His research consistently demonstrates practical applications for industrial and municipal settings, with increasing integration of digital technologies and artificial intelligence in resource management. Dr. Ćurčić has secured significant research funding, including projects from the Ministry of Education and Science of Serbia, the European Bank for Reconstruction and Development (EBRD), and multiple local self-governments. He has successfully led numerous technological development projects with practical applications in waste management and renewable energy. As an educator and mentor, he has supervised two master's theses, five master's projects, and over 50 diploma theses. He has also served on committees for the defense of more than 40 diploma theses, demonstrating his commitment to developing the next generation of engineers. His research extends into practical applications through collaborations with industry partners, particularly in developing mobile presses for vehicle recycling and systems for managing end-of-life vehicles. His current work focuses on creating sustainable solutions for local communities through rational use of waste biomass as renewable energy sources.

Elliott HulleyView profile

Associate Professor

• Inorganic Chemistry
• Organometallic Chemistry
• Catalysis
• +4 more

Elliott Hulley serves as an Associate Professor in the Department of Chemistry at the University of Wyoming, where his research program focuses on inorganic and organometallic chemistry with emphasis on metal-ligand platform design for substrate activation and transformation. Education BS (2005) from Ursinus College PhD (2011) from Cornell University Postdoctoral Researcher (2011-2014) at Pacific Northwest National Laboratory His laboratory investigates rational design of multifunctional systems exploiting ligand hemilability and secondary-coordination sphere interactions, with key projects targeting reversible heterolytic C–H bond scission for novel organic transformations and pendent nucleophile strategies for cyclopropanation, epoxidation, and oxidation reactions. This work bridges fundamental coordination chemistry with practical catalytic applications. Analysis of his publication record (2008-2020) reveals consistent focus on transition metal catalysis, particularly in hydrogenation, CO 2 reduction, and C–H activation, with increasing emphasis on electrocatalysis and bio-inspired design principles. His group frequently employs ligand engineering to manipulate metal-ligand cooperativity and proton management. Dr. Hulley leads an active research group in the Physical Science Building (Room 409), mentoring graduate students in synthetic inorganic chemistry. His program is supported by institutional resources and competitive external funding, enabling exploration of fundamental reactivity in sustainable catalytic processes.

Christian AlmederView profile

Professor

• Supply Chain Management
• Operations Research
• Production Planning and Scheduling
• +3 more

Prof. Dr. Christian Almeder serves as Professor and Head of the Chair of Supply Chain Management within the Faculty of Business Administration and Economics at Viadrina European University (Frankfurt (Oder), Germany). His research focuses on operations research applications in production planning, logistics, and supply chain optimization, with particular expertise in lot sizing, scheduling, and perishable goods management. He maintains active research output with publications spanning from 1997 to 2023. Almeder's research centers on mathematical modeling of complex production and logistics systems. His primary contributions involve developing heuristic and metaheuristic solutions for capacitated lot sizing problems, multi-level scheduling, and integrated production-distribution planning. Key specialties include handling perishability constraints, lead time uncertainties, and batch processing requirements using genetic programming, simulation-based optimization, and clearing function approaches. His work bridges theoretical operations research with industrial applications in supply chain management. Analysis of his 15 most recent publications (2013-2023) reveals a consistent focus on lot sizing and scheduling, with increasing emphasis on integrated supply chain problems and perishable goods logistics. Methodologically, he combines metaheuristics (genetic programming, simulated annealing) with simulation techniques to address real-world complexities like stochastic processing times and limited buffers. His work demonstrates strong application in production planning parameter tuning, vehicle routing integration, and robust operational planning under uncertainty.

• Molecular dynamics simulations
• Quantum-chemical calculations
• Rational drug design
• +5 more

Ivan Barvík is a Researcher at the Department of Biomolecular Physics within the Faculty of Physics at Charles University , where he has been affiliated since 1999. His work bridges computational physics, biophysics, and drug design. Education : Ph.D. (1995) in Mathematical and Computer Modeling from Charles University, supervised by Doc. RNDr. Jiří Bok CSc. Mgr. (1995) in Mathematical and Computer Modeling in Physics and Technology from Charles University, supervised by RNDr. Miroslav Kotrla CSc. Research Interests : Barvík specializes in molecular dynamics simulations and quantum-chemical calculations , applying these methods to rational drug design and biological membranes . He focuses on computational techniques for modeling biomolecules, including free energy calculations and parallelization via OpenMP , MPI , and CUDA . Teaching : He teaches computer modeling of biomolecules , molecular dynamics , advanced programming methods , and numerical methods in computational physics , contributing to both undergraduate and graduate education. Supervision : Barvík has mentored numerous students, including Artem Rakhimbekov and Krystof Prusa , and supervised theses on topics like computational physics, biomolecular simulations, and numerical methods. Tools and Collaborations : He utilizes software such as CHARMM-gui , NAMD , Gromacs , and Gaussian , and is associated with resources like AlphaFold3 and MetaCentrum .

John V. LeahyView profile

Professor

• Macroeconomics
• Monetary Economics
• Economic Theory
• +4 more

John V. Leahy is a Professor at the University of Michigan , holding dual appointments in the Department of Economics and the Gerald R. Ford School of Public Policy . He is also a co-editor of the American Economic Review and a research associate at the National Bureau of Economic Research. His work bridges macroeconomics, monetary economics, and economic theory, focusing on models of imperfect information processing and rational inattention. Education: Ph.D. in Economics, Princeton University (1990); Master of Science in Foreign Service, Georgetown University (1986); B.A. in Mathematics, History, and German, Williams College (1984) John Leahy's research centers on macroeconomic theory , monetary economics , and behavioral economics , particularly exploring how individuals make decisions under rational inattention and imperfect information . His recent work includes modeling decision-making mistakes and developing frameworks to understand how internal beliefs diverge from external realities. He emphasizes the University of Michigan's data-driven approach to economics, which prioritizes empirical grounding over purely technical solutions. His editorial roles include co-editor of the American Economic Review (2015-2018) and editor of the American Economic Journal: Macroeconomics (2012-2014). Awards highlight his teaching excellence, including the Neu Family Award and Dean’s Recognition at Boston University, as well as the Alfred P. Sloan Research Fellowship . Grants from the National Science Foundation underscore his contributions to economic theory and policy analysis. John Leahy's publications span topics such as state-dependent pricing , house price dynamics , and social discount rates , often collaborating with scholars like Andrew Caplin and Mark Gertler. His work frequently examines the interplay between theoretical models and empirical validation, ensuring practical relevance in macroeconomic policy.

Cesi CruzView profile

Associate Professor

• Political Economy
• Social Networks
• Elections
• +6 more

Cesi Cruz is an Associate Professor in the Department of Political Science at the University of Michigan's College of Literature, Science, and the Arts, with a courtesy appointment in the Department of Economics. Her research examines political economy phenomena at the intersection of political science and economics, with fieldwork primarily conducted in Southeast Asia (Philippines and Cambodia). Her research interests include: Political Economy and Development Social Network Analysis in Politics Elections and Electoral Behavior Field Experiments in Developing Countries Gender and Inclusive Development Clientelism and Public Goods Provision Information Effects and Misinformation Analysis of her publication record shows consistent focus on social network effects in electoral contexts, particularly in the Philippines. Her work combines large-scale network data (including 20 million person datasets), field experiments, and survey research to examine how social structures influence political behavior, electoral outcomes, and development policy effectiveness. Recent work increasingly addresses gender dynamics in political influence and the interaction between information campaigns and voter behavior. Scientific recognition includes: Best Conference Paper award from the Political Networks Section of the American Political Science Association Publications in top journals including American Political Science Review, American Economic Review, American Journal of Political Science, and Comparative Political Studies Cruz actively supervises graduate students and has taught courses including Social Networks and Politics (PhD seminar), Institutions and Economic Growth, Politics and Development, and Policy Analysis. Her research has been supported by fieldwork in the Philippines and Cambodia, often involving collaboration with local institutions and international organizations like the World Bank. She maintains active engagement with policy communities through platforms like The Monkey Cage and VoxDev.

• Data analytics
• Causal machine learning
• Policy evaluation
• +6 more

Anthony Strittmatter is a Professor of Applied Econometrics at UniDistance Suisse in Brig/Valais, Switzerland. He maintains significant research affiliations with the Center for Research in Economics and Statistics (CREST), the University of Johannesburg, the CESifo Network, the Institut des Politiques Publiques (IPP), and the Swiss Institute for Empirical Economic Research (SEW-HSG). His academic career spans multiple prestigious institutions across Europe and focuses on the intersection of econometrics, machine learning, and economic policy analysis. Strittmatter received his Diploma in Economics from Albert-Ludwigs University Freiburg in 2009, following studies at Albert-Ludwigs University Freiburg, University Karlsruhe (TH), and Corvinus University Budapest. He continued his academic journey at the University of St. Gallen (HSG), where he earned his Ph.D. in Economics and Finance in 2013 under the supervision of Prof. Bernd Fitzenberger and Prof. Dr. Michael Lechner. His research focuses on the innovative integration of causal machine learning with traditional econometric methods to address complex policy evaluation questions. Strittmatter specializes in analyzing heterogeneous treatment effects, with particular applications in labor economics, business economics, and health economics. His methodological expertise in data analytics allows him to tackle challenging questions regarding optimal policy design and implementation using both experimental and non-experimental data. Analysis of Strittmatter's publication record reveals a consistent trajectory of methodological innovation applied to substantive economic questions. His work demonstrates a growing emphasis on causal machine learning techniques, particularly for estimating heterogeneous treatment effects. There's a clear pattern of applying these advanced methods to pressing policy issues, especially in labor market interventions, gender economics, and public policy evaluation. His recent work increasingly leverages big data approaches to address longstanding questions in economics with greater precision. While specific awards are not prominently listed in the available information, Strittmatter's extensive collaboration with leading researchers and his affiliation with prestigious research networks indicate significant recognition within the economics community. His work has been published in top-tier economics journals including the American Economic Review. Strittmatter actively contributes to the academic community through research collaborations and knowledge dissemination. His GitHub presence shows commitment to making research methods accessible through well-documented code repositories. His teaching focuses on causal machine learning, as evidenced by his CML-Course materials which provide practical coding sessions for economic applications. He leads and participates in research teams focused on causal inference methodology and its applications. His work with Michael Lechner, Uwe Sunde, and other collaborators demonstrates a strong commitment to advancing the methodological frontier in econometrics while maintaining relevance to real-world policy questions.

Aart GerritsenView profile

Associate Professor

• Macroeconomics
• Inequality
• Labor
• +2 more

Aart Gerritsen serves as an Associate Professor and Research Fellow at the Erasmus School of Economics, Erasmus University Rotterdam. His academic position places him within one of Europe's leading economics departments, where he contributes to research and teaching in public economics and macroeconomic policy. Dr. Gerritsen's research focuses on Macroeconomics, with specific expertise in Inequality, Labor economics, Policy Evaluation, and Public Economics. His work primarily centers on optimal taxation theory, examining how tax systems can be designed to balance efficiency and equity considerations under various economic conditions. He investigates capital income taxation with heterogeneous returns, nonlinear taxation approaches, and the relationship between minimum wage policies and income redistribution. His recent publications (2024-2025) demonstrate continued productivity in top economics journals including the Economic Journal, Journal of Public Economics, and International Tax and Public Finance. His research shows a progression from purely theoretical work to incorporating more behavioral elements and empirical applications, particularly in how people's actual behavior affects optimal tax design. Dr. Gerritsen actively collaborates with other researchers, most notably with Bas Jacobs, but also with Kevin Spiritus and Alexandra Rusu. These collaborations span multiple publications addressing complex questions in public economics and tax policy. His advising approach emphasizes theoretical rigor combined with practical policy relevance. While specific details about current students aren't provided, his publication record suggests he likely supervises graduate students working on topics related to public economics, taxation, and labor markets. His research has implications for fiscal policy design in European contexts and beyond.

• Decisions and Behaviors
• Transformation Organisationnelle
• Comportements et Décisions
• +6 more

Eli Spiegelman is an Associate Professor at Burgundy School of Business (BSB), affiliated with the Department of Economy and Social Sciences. His research focuses on Decisions and Behaviors , Transformation Organisationnelle , and Comportements et Décisions . His work spans Behavioral Economics , Experimental Economics , and Game Theory , with notable studies on common pool resources , ambiguity/risk preferences , and social preferences . Recent publications analyze soft commitments in digital behavior , community currency dynamics , and intergenerational resource preservation . His research often employs experimental designs to explore how memory of disappointment and contextual factors shape decision-making. He collaborates extensively with researchers like Anna Sutan and H. Alia-Thorey, contributing to journals such as Ecological Economics and Rationality and Society . He is actively involved in academic conferences, including the International Conference of the French Association of Experimental Economics (ASFEE) and SEET Workshops , and serves as a session chair. His email is eli.spiegelman@bsb-education.com .

Miguel Ángel Hinojosa RamosView profile

Professor

• Economics
• Game Theory
• Microeconomics
• +4 more

Miguel Ángel Hinojosa Ramos is a Professor at the Department of Economics, Quantitative Methods and Economic History within Universidad Pablo de Olavide's College of Economics and Business. His research focuses on Quantitative Methods for Business and Economics , with emphasis on cooperative game theory, fair division problems, and operational research applications. Doctoral Program: Quantitative Methods for Management Research Group: Quantitative Methods in Business and Economics Research Interests Dr. Hinojosa's work spans Economics , Game Theory , and Decision Theory , particularly in multi-dimensional resource allocation. His studies address: Bankruptcy problems under uncertainty Multi-commodity rationing with maxmin preferences Core solution concepts in vector-valued cooperative games DEA target setting through bargaining approaches Publications highlight his contributions to: Extending Talmudic allocation rules Multi-utilitarian bargaining solutions Methodological foundations for multicriteria decisions Academic Collaborations Active in international research networks, Dr. Hinojosa collaborates with scholars from institutions like University of Helsinki, University of Leicester, and University of Florence. His work intersects economic theory with practical applications in logistics and management.

Edward CraneView profile

Research Fellow

• Probability
• Circle Packings
• Geometric Function Theory
• +3 more

Edward Crane is a Senior Heilbronn Research Fellow at the University of Bristol, affiliated with the Department of Mathematics. His research spans probability theory, circle packings, geometric function theory, and dynamical systems. University of Bristol Heilbronn Institute for Mathematical Research Research interests include: Probability and Stochastic Processes Circle Packings and Geometric Function Theory Complex Dynamics and Conformal Geometry Applications of Hyperbolic Metrics Recent articles focus on forest fire models, branching processes, colliding particle dynamics, and conformal geometry. Key contributions include work on Smale's mean value conjecture, rigidity in sphere configurations, and hyperbolic convexity criteria. Scientific achievements include the Heilbronn Research Fellowship. He has organized major conferences like PAD21@Bristol (2021) and contributed to educational resources through graduate lecture courses such as Dynamics of Rational Functions (2007).

• Stochastic Modeling of Communication, Information and Service Systems
• Queueing Theory
• Stochastic Processes
• +9 more

Alexander Stolyar is Professor in the Department of Industrial and Enterprise Systems Engineering at the University of Illinois at Urbana-Champaign , where he has taught courses on stochastic processes, queueing systems, and service engineering. Before joining Illinois in January 2017, he was the Timothy J. Wilmott Endowed Chair Professor at Lehigh University (2014–2017) and spent nearly two decades in industrial research at Bell Laboratories , Motorola, and AT&T Labs-Research. Stolyar’s research centers on stochastic modeling of large-scale communication, information, and service systems , including cloud data centers, communication networks, and call/contact centers. He develops mathematical frameworks for dynamic resource allocation, scheduling, congestion control, and distributed algorithms , leveraging tools from queueing theory, stochastic processes, fluid and diffusion limits, large deviations, and mean-field analysis . His recent publications (2021–2025) reveal sustained focus on asymptotic optimality in complex systems: designing lightweight algorithms that become provably optimal as system scale grows. Key themes include greedy and randomized policies for inventory systems with stochastic lead times , parallel-server systems with redundancy and cancel-on-completion , particle systems with mean-field interactions exhibiting traveling-wave behavior , and packing-constrained service systems motivated by cloud data-center operations . Scientific honors include election as INFORMS Fellow (2021) , the INFORMS Applied Probability Society Best Publication Award (2004) , and the ACM SIGMETRICS Best Simulation Paper Award (1996) . He serves or has served on the editorial boards of Queueing Systems (Editor, 2008–present), IEEE Transactions on Information Theory (2019–2021), Operations Research (2006–2011), Advances in Applied Probability / Journal of Applied Probability (2008–2015), and as Technical Program Committee member for leading conferences such as SIGMETRICS and IFIP Performance . Stolyar’s research has generated more than 30 U.S. patents spanning wireless network scheduling, cloud resource allocation, dynamic load balancing, and packet-data network control—many of which have been incorporated into commercial cellular and cloud systems. His work is supported by NSF and industry grants, and he has advised numerous PhD students and postdocs who now hold faculty and research positions worldwide.

• Logic of Social Studies
• Logic of Norms
• Logic of Decision
• +3 more

Vihren Bouzov is a Professor at the Faculty of Philosophy within the University of Veliko Tarnovo . His research spans Logic of Social Studies , Philosophy of Law , Political Strategies , and National/International Security . He actively contributes to Balkan geopolitical analysis, media manipulation studies, and critical philosophy of globalization. Recent publications examine third-party mediation in regional crises , conservative environmental ethics , and zero-sum cognitive biases . His work intersects with conflict resolution , legal philosophy , and societal security , often analyzing Turkey's geopolitical ambitions and EU integration challenges. He leads the Laboratory for Applied Academic Ethics and co-edits the journal Ethics, Science, Education . Current projects focus on judicial mediation implementation in Bulgaria and history of Bulgarian philosophical thought . He organizes international conferences and student essay competitions to bridge academic and secondary education.