جست‌وجوی استاد و پژوهشگر

• Ottoman History
• Russian History
• Maritime History
• +۳ مورد دیگر

Murat FİDAN serves as an Associate Professor in the Department of Economics at Kastamonu University's Faculty of Economics and Administrative Sciences, where he has been a full-time faculty member since 2020. Previously, he held academic positions at Gaziantep University and Kilis 7 Aralık University, specializing in Ottoman economic history and price dynamics. His career spans over two decades of teaching and research in Turkish higher education. His academic credentials include a PhD in Islamic History and Arts from Ondokuz Mayıs University (2003), a Master's in Islamic Law from İnönü University (1996), and a BA in Theology from Ankara University (1993). His foreign language proficiency includes English (YÖKDİL score 60, 2017). FİDAN's research centers on Ottoman economic structures, with particular expertise in price history, trade relations, and institutional analysis. His work bridges Ottoman history with economic methodology, examining narh (price control) records, guild systems, and international trade dynamics. He has published extensively on Kastamonu's regional economy, Ottoman-Russian commercial relations, and the evolution of monetary systems, contributing significantly to understanding pre-modern economic mechanisms through primary source analysis. His publication portfolio shows consistent output with 43 total works including 19 journal articles, 14 conference papers, 2 books, and 8 book chapters. The research demonstrates chronological depth from 2004 to 2024, with recent focus on waqf (endowment) institutions, comparative economic thought, and Eastern Mediterranean maritime history. Methodologically, he combines archival research with economic analysis, primarily using Ottoman-era price records and customs tariff documents. FİDAN has successfully supervised 13 master's theses focusing on Ottoman economic history, Turkish women's labor participation, and regional price dynamics. His sole research project (2016-2018) examined price movements in Kastamonu between 1673-1806 using narh records. He maintains active collaborations with scholars like Serkan Dilek and Tolga Ulusoy, co-authoring multiple publications on economic history topics.

Nina Balcanمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Theoretical Computer Science
• +۵ مورد دیگر

Nina Balcan is the Cadence Design Systems Professor of Computer Science at Carnegie Mellon University's School of Computer Science, with affiliations in both the Machine Learning Department (MLD) and Computer Science Department (CSD). She maintains her office in Gates Hillman Center (GHC) 8205 and is a prominent figure in theoretical machine learning and algorithmic game theory. Her research spans multiple critical areas in computer science, with a strong focus on the theoretical foundations of machine learning, algorithm design and analysis, and computational approaches to game theory and economics. Balcan has made significant contributions to developing principled algorithms for deep learning, learning with limited supervision, representation learning, and life-long learning. Her work uniquely bridges theoretical computer science with practical applications, particularly in the analysis of complex objects and processes, including algorithmic learning and multi-agent systems. Analysis of her recent publications reveals a strong trend toward data-driven algorithm design, with particular emphasis on learning to optimize combinatorial algorithms, revenue-maximizing mechanisms, and robust learning frameworks. Her work consistently demonstrates how theoretical guarantees can inform practical algorithm development across diverse domains from optimization to economics. Major Awards and Honors: ACM Fellow AAAI Fellow Simons Investigator 2019 ACM Grace Murray Hopper Award (awarded to the outstanding young computer professional of the year) Winner of Outstanding Student Paper Award at UAI 2024 Winner of Exemplary Artificial Intelligence Track Paper Award at ACM EC 2019 Runner Up Best Paper Award at COLT 2012 Professor Balcan has served as Program Committee Co-chair for major conferences including NeurIPS 2020, ICML 2016, and COLT 2014, demonstrating her leadership in the machine learning community. Her teaching portfolio at CMU includes foundational courses such as 10-701 Machine Learning, 10-315 Machine Learning, and 10-715 Advanced Introduction to Machine Learning, where she has mentored numerous students in both theoretical and applied aspects of the field. Her research group focuses on developing theoretically sound yet practically applicable machine learning algorithms, with particular attention to algorithm configuration, data-driven optimization, and learning in strategic environments. Current projects involve learning to improve combinatorial algorithms, designing revenue-maximizing mechanisms, and developing robust learning frameworks that can operate effectively in challenging environments.

Meredith Fowlieمشاهده پروفایل

پژوهشگر ارشد

• Environmental Economics
• Energy Economics
• Industrial Organization
• +۲ مورد دیگر

Meredith Fowlie is a Research Fellow at the University of California, Berkeley, affiliated with the Department of Agricultural & Resource Economics and the Environment and Energy Economics Program. Her work focuses on environmental economics, energy policy, and industrial regulation, with particular expertise in climate policy, emissions trading, and market-based solutions. University : University of California, Berkeley School : College of Natural Resources Department : Department of Agricultural & Resource Economics Role : Co-Director of the Environment and Energy Economics Program, Research Fellow Over the past two decades, Fowlie has led influential research on carbon pricing, insurance market adaptations to climate change, energy efficiency programs, and regulatory design. Her publications span topics like NOx trading programs , satellite-based air quality analysis , and default effects in electricity pricing . She has collaborated extensively with scholars such as Catherine Wolfram, Christopher R. Knittel, and Nicholas Muller. Her recent work (2025-2022) emphasizes catastrophe insurance equity , climate risk classification , and carbon pricing mechanisms . Earlier studies (2020-2008) addressed co-benefits in regulatory analysis, emissions leakage in incomplete markets, and optimal pollution regulation across stationary/non-stationary sources.

Michel Leseureمشاهده پروفایل

مدرس ارشد

• Evolution of Technical Systems
• Cladistics in Manufacturing
• Engineering Economy
• +۶ مورد دیگر

Michel Leseure serves as a Senior Lecturer in Mechanical Engineering within the School of Electrical and Mechanical Engineering at the University of Portsmouth, where he is affiliated with the Centre for Operational Research and Logistics and Centre of Operational Research and Decision Analysis. As an active PhD Supervisor accepting new doctoral candidates, he contributes to both academic instruction and research supervision in technology-focused programs. His research centers on evolutionary analysis of technical systems, notably applying cladistics (a biological classification method) to manufacturing systems. Additional expertise spans engineering economy, real options theory, and scenario analysis, with recent expansion into sustainable operations management, microgrid optimization, and renewable energy integration. His work bridges industrial engineering with environmental sustainability through lean methodologies and strategic decision frameworks. Analysis of his 2023-2025 publications reveals dominant themes in collaborative microgrid systems, where he pioneers approaches to mitigate renewable energy volatility using lean-heijunka strategies and precontracted order mechanisms. His research consistently addresses supply chain resilience, policy impacts on manufacturing investment, and sustainability-performance trade-offs across energy and industrial sectors. Leseure actively mentors doctoral researchers through the Centre for Operational Research and Logistics, focusing on operational decision-making in energy systems and sustainable manufacturing. His collaborative projects frequently involve international researchers, particularly with H. Feleafel and J. Radulovic, examining microgrid economics and supply chain adaptability under turbulent conditions.

• Health Economics
• Health Services Research
• Applied Econometrics
• +۹ مورد دیگر

Dr Elisabeth Huynh is a Senior Research Fellow at the Australian National University's Centre of Epidemiology for Policy and Practice. She specializes in health economics, focusing on understanding health-related preferences, choice behavior, and economic evaluations in public policy and medical interventions. Education: PhD in Economics (Econometrics) and B.Com from the University of Sydney. Affiliations: Research Affiliate at the University of Sydney (2021-2026). Research Interests: Her work spans health economics, applied econometrics, and public policy, with specific contributions to discrete choice experiments, best-worst scaling, health workforce dynamics, healthy aging, nutrition interventions, and quality-of-life valuation. She investigates decision-making patterns in health care, including patient preferences, end-of-life care, and health service provider behavior. Publications: Her recent articles focus on pediatric quality-of-life metrics, pandemic preparedness modeling, dietary supplement choices during pregnancy, and workforce dynamics in health care. These studies employ advanced econometric methods and systematic reviews to inform policy decisions. Supervision: Elisabeth supervises PhD candidates exploring topics like child health valuation, chronic disease management, and maternal nutrition programs.

Teresa Fortمشاهده پروفایل

دانشیار

• International Trade
• Industrial Organization
• Political Economy
• +۴ مورد دیگر

Teresa Fort is an Associate Professor at the Tuck School of Business at Dartmouth College , focusing on international trade, industrial organization, and political economy. She teaches core microeconomics and seminars on firm globalization, while maintaining affiliations as a Faculty Research Fellow at the National Bureau of Economic Research (NBER) and a Research Affiliate at the Centre for Economic Policy Research (CEPR). Her work bridges economic theory with empirical analysis using U.S. Census Bureau data. PhD , University of Maryland (2012) MA , University of Maryland (2008) BA , University of Virginia (2000) Her research explores global production fragmentation , technology's impact on offshoring , and globalization's heterogeneous effects . Key findings include: technology's disproportionate role in domestic production reorganization, the rise of factoryless goods producers redefining manufacturing statistics, and evidence on how trade policies create interdependent sourcing dynamics . Recent publications in Review of Economic Studies and Journal of Political Economy Macroeconomics examine tariff escalation welfare effects and multinational firm trade patterns . Her work has been featured in major media outlets including Financial Times , The Wall Street Journal , and Marketplace . NBER Faculty Research Fellow CEPR Research Affiliate Coauthor of influential studies on global value chains She actively participates in academic conferences, recently discussing topics like multinational firm strategies and labor mobility during recessions . Her empirical methods often involve novel data infrastructure projects, including redesigning the U.S. Census Bureau's Longitudinal Business Database and County Business Patterns imputation techniques.

Beatrice Dedingerمشاهده پروفایل

عضو هیئت علمی

• History of trade statistics
• Historical statistics of geopolitical entities
• History of trade globalization
• +۳ مورد دیگر

Beatrice Dedinger is a Research Engineer at the Centre for History (CHSP) of Sciences Po in Paris. An economist by training, she turned to economic history and has become the scientific director of two flagship projects: RICardo (Research on International Commerce, 1800-1938) and GeoPolHist (a geopolitical entities database from 1816 to the present). Her work focuses on building open-access historical databases that enable quantitative and visual exploration of long-run trade globalization and the political trajectories of world entities. After completing a PhD thesis on German trade history , Dedinger taught economics, economic history and European economy. For more than a decade she has led the creation and exploitation of an exhaustive bilateral trade dataset covering all the world’s countries, and more recently a companion dataset that codifies every geopolitical entity’s political status on an annual basis. Both resources are freely available through interactive web platforms. Research interests include: History of trade statistics and historical statistics of geopolitical entities Long-run patterns of trade globalization German commercial and monetary history (19th–20th centuries) Quantitative and digital methods in economic history Design of open-access historical databases and data-visualisation tools Grants & funding have been provided by the French National Research Agency (ANR), Sciences Po’s SAB programme, and the Del Duca Foundation (2019-2022), among others. Public engagement includes frequent conference presentations (World Economic History Congress, Digital Humanities, etc.) and leadership of interdisciplinary seminars that bring together historians, economists and data scientists.

• Database Systems
• Integration of heterogeneous databases
• Data quality and data integrity
• +۶ مورد دیگر

Thomas Kudraß serves as Professor for Database Systems at the Faculty of Computer Science, Mathematics and Natural Sciences (IMN) at Leipzig University of Applied Sciences (HTWK Leipzig). With over 25 years of academic and industry experience, he teaches courses including Database Basics, Database Application Programming, Data Warehousing, and Big Data Technologies. His leadership roles include Internship Coordinator for Computer Science since 2001, Member of the Academic Senate since 2011, and Contact person for the IMN faculty alumni association since 2005. Dr. Kudraß earned his Dipl.-Ing. in Computer Science from Technical University of Dresden (1985-1990) and completed his doctorate at Darmstadt University of Technology (1992-1997), where his dissertation received the prestigious Jos Schepens Memorial Award. Prior to academia, he worked as an Information Systems Architect at UBS AG Zurich and Database Specialist at Swiss Bank Corporation Basel. His research spans database technologies with focus on heterogeneous database integration, data quality, data privacy, and modern database concepts. Recent work explores cloud-native billing applications for 5G, NoSQL databases, and privacy-preserving record linkage techniques. His publication record shows continuous evolution from traditional database systems to contemporary challenges in big data and distributed systems. Jos Schepens Memorial Award for doctoral dissertation (1997) Active participation in German Informatics Society (GI) specialist groups Organizer of multiple database-related workshops and conferences Professor Kudraß has significantly contributed to academic governance as E-Learning Officer (2000-02), Faculty Council member (2009-12), and liaison lecturer for the German Society for Computer Science (2001-14). He has coordinated numerous student projects and served on program committees for major conferences including INFORMATIK 2017 and BTW series.

• Competition Law
• Regulation of Online Platforms
• Labor Market
• +۳ مورد دیگر

Professor Shin Jeong-eun is a faculty member in the Department of Public Administration at Sejong University, specializing in competition law and digital platform regulation. Her research focuses on mergers and acquisitions in gaming and online platform sectors, with particular emphasis on market definition, consumer welfare, and regulatory implications of decisions by authorities like the UK Competition and Markets Authority (CMA). Her primary research areas include Competition Law (mergers, market delineation), Online Platform Regulation (terms and conditions, labor market effects), and Constitutional Law . She investigates how gaming industry mergers (e.g., Microsoft-Blizzard) affect competition, challenges in defining digital markets, and platform terms' impact on consumer protection, combining legal analysis with economic insights. Analysis of her 12 publications (2012-2023) reveals a clear shift toward digital market regulation since 2020. Recent work examines UK CMA decisions on major tech mergers, platform control mechanisms (Uber/Airbnb), and consumer protection enforcement. Her research consistently bridges legal doctrine and economic analysis to address regulatory challenges in rapidly evolving digital markets. Professor Shin maintains a research laboratory at House 509 on Sejong University's campus, operating during Monday/Wednesday interview hours (3-5 PM by reservation). Her work demonstrates strong interdisciplinary integration of competition policy, platform economics, and legal enforcement mechanisms in both Korean and international contexts.

Claudia Schubertمشاهده پروفایل

استاد

• Civil Law
• Labor Law
• Corporate Law
• +۷ مورد دیگر

Claudia Schubert is a Full Professor at the University of Hamburg, Faculty of Law , holding the Chair for Civil Law, Labor Law, Corporate Law, and Comparative Law since May 2014. Her academic journey includes professorships at Freie Universität Berlin (2011-2014) and Ruhr-Universität Bochum (2013-2014), with habilitation and doctorate from Christian-Albrechts-Universität zu Kiel and Friedrich-Schiller-Universität Jena, respectively. Education: Jurisprudence (Jena, 2000); International Summer School in English Legal Methods (Cambridge, 2002); Second State Exam (2005) Research Focus: Law of Legal Transactions, Tort Law, Individual and Collective Labor Law (Tariff Agreements, Labor Disputes), European and International Labor Law, Corporate Co-Determination, Comparative Law (EU vs. China) Her publications span monographs on economically dependent workers, comparative corporate co-determination, and tariff autonomy, alongside commentaries in Münchener Kommentar zum BGB and Oetker HGB . Recent 2024-2025 works address EU labor harmonization, SE formation compliance, and ethical AI frameworks. Notable scientific contributions include 2023 analyses of gig economy regulations, EU collective agreements, and pandemic-era labor policies. She actively participates in academic self-governance, including directorship of the Center for International Affairs at Ruhr-Universität Bochum and advisory roles in labor law institutions.

Christian Barrotمشاهده پروفایل

استاد

• Innovation Management
• Marketing
• Entrepreneurship
• +۷ مورد دیگر

Prof. Dr. Christian Barrot is a Professor of Marketing and Innovation at Kühne Logistics University (KLU) in Hamburg. As Dean of Programs (2016–2024), he shaped KLU's award-winning curriculum. His academic journey began at Christian-Albrechts-University of Kiel and BI Norwegian School of Management, followed by research at Penn State and Columbia Business School. He was promoted from Assistant to Professor at KLU (2011–2017) and served as Acting President (2022–2023). Diplom-Kaufmann (MSc. Business Administration), Christian-Albrechts-University of Kiel (2001) Dr. sc. pol., Christian-Albrechts-University of Kiel (2008) Dr. habil., Christian-Albrechts-University of Kiel (2014) His research focuses on innovation management, digital transformation, and customer relationship strategies , emphasizing social networks, referral programs, and quantitative analysis. Recent studies explore Needmining for customer needs extraction , D2C vs multi-brand distribution dynamics, and ethical leadership impacts on purchasing. His work bridges theoretical models (e.g., Bass diffusion extensions) with industry applications (telecom, medical devices). Prof. Barrot's accolades include the 2018 Sheth/Journal of Marketing Award (long-term contribution) and AMA-Sheth Fellowship (2005). He led the DFG-FOR 1452 research group on digital social media marketing, securing €4.0M in funding. His methodological expertise spans agent-based modeling and social network analysis, applied in viral marketing campaigns and product-sampling strategies.

• Actuarial Science
• Machine Learning
• Insurance Pricing
• +۳ مورد دیگر

Roel Henckaerts is a Research Fellow at the Insurance Research Group, KU Leuven. His work centers on integrating advanced computational methods with actuarial science to optimize insurance pricing models. Research Focus: Henckaerts specializes in machine learning applications for insurance, including telematics-based dynamic pricing, interpretable AI for regulated industries, and data-driven risk assessment. His methodologies emphasize neural networks, tree-based models, and transparent surrogate systems to balance accuracy with regulatory compliance. Publication Trends: Recent articles (2019–2025) demonstrate a shift toward neural networks and model interpretability, while earlier work (2016–2018) established foundations in tree-based methods and risk factor engineering. Thematic evolution shows consistent focus on bridging machine learning scalability with actuarial rigor. Affiliations: As part of KU Leuven's Insurance Research Group, Henckaerts collaborates on industry-facing projects, though specific lab/team structures are undisclosed.

Marianne Jenum Hotvedtمشاهده پروفایل

استاد

• Labour Law
• EU/EEA Law
• Human Rights
• +۴ مورد دیگر

Marianne Jenum Hotvedt is a Professor of Law at the University of Oslo's Department of Private Law, specializing in labor law since 2020. She co-leads the faculty's Labour Law and Working Life research group and is affiliated with the Arfa project focused on preserving labor law expertise. With a Cand.jur. (2002) and PhD (2015) from the same institution, her research examines fundamental labor law concepts, EU/EEA law, and human rights intersections. Her research interests include: Evolution of core labor law principles Cross-border legal influences on national legislation Adapting labor regulations to emerging work models Interdisciplinary intersections with contract and administrative law Recent publications demonstrate sustained focus on platform economy regulation, judicial impacts on labor rights, and Nordic legal adaptations. Her 15 most recent works (2018-2025) cluster around three themes: digital work transformations (40%), judicial evolution of labor rights (33%), and welfare state interfaces (27%). Awards & Recognition: Triple nominee for Norway's top labor law article (2016, 2018, 2020) Leadership & Service: Deputy Judge in Labour Court Editor of Arbeidsrett journal EU labour policy expert Former Vice-Dean for Studies (2021-2023) Ex-chair of Norwegian Labour Law Association

• International Economic Law
• Internet Law
• Digital Trade
• +۷ مورد دیگر

Mira Burri is a Tenured Professor of International Economic and Internet Law at the Faculty of Law, University of Lucerne, where she also serves as Director for Internationalization. She is the principal investigator of the ERC project 'Trade Law 4.0: Trade Law for the Data-Driven Economy' (2021–2026) and a member of the National Research Council of the Swiss National Science Foundation (SNSF) since 2022. University: University of Lucerne School: Faculty of Law Position: Tenured Professor Email: mira.burri@unilu.ch Office: Frohburgstrasse 3, CH-6002 Luzern, Raum 4.A31 She teaches courses including International Law of Contemporary Media, Digital Copyright, Internet Law, International Intellectual Property Law, and International Trade Law. She also lectures at IMD Lausanne, the World Trade Institute, and the University of Göttingen’s LIPIT programme. Education: Law Degree – University of Sofia Master of Advanced European Studies (MAES) – Europe Institute, University of Basel Doctorate in EU Competition Law – awarded Professor Walther Hug Prize (2006/2007) Habilitation (2015) – venia docendi in international economic law, European and international communications and media law, and Internet law Research Interests: Mira Burri’s research lies at the intersection of law, technology, and globalization. She specializes in international economic law, digital trade, Internet governance, and intellectual property in the digital age. Her work explores how traditional legal frameworks adapt to the challenges posed by data-driven economies, artificial intelligence, and digital platforms. She investigates regulatory responses to digital monopolies, cross-border data flows, and the balance between free trade and cultural diversity. Publication Trends: Her recent publications reflect a strong focus on digital transformation in trade and cultural law. Themes include big data governance, digital copyright, platform regulation, and the classification of digital services. Her editorial and authorial work emphasizes interdisciplinary approaches, combining legal analysis with insights from economics, media studies, and policy. She consistently contributes to high-impact journals and edited volumes on global trade law, digital rights, and cultural policy. Scientific Awards and Recognition: Professor Walther Hug Prize (2006/2007) for doctoral thesis Advising, Grants, and Leadership: As principal investigator of the ERC-funded 'Trade Law 4.0' project, Prof. Burri leads a major research initiative on trade law in the data-driven economy. She has secured significant research funding and supervises a research team exploring legal frameworks for digital trade. She advises international organizations including UNESCO, the European Parliament, the Canadian government, the International Centre for Trade and Sustainable Development, EFTA, and the World Economic Forum on digital innovation, cultural diversity, and Internet governance. Labs, Teams, and Networks: She is a member of the editorial boards of the International Journal of Cultural Property and Arts and International Affairs . She participates in the EU Expert Network for Culture and Audiovisual, the TaPP Network, and the Digital Trade & Data Governance Hub (Washington D.C.). Her research is supported by institutional affiliations with the University of Lucerne’s Faculty of Law and its international networks, fostering interdisciplinary collaboration on digital governance.

Carlo Rasmus Schwarzمشاهده پروفایل

استادیار

• Applied Microeconometrics
• Political Economy
• Media Economics
• +۱ مورد دیگر

Carlo Rasmus Schwarz is an Assistant Professor in the Department of Economics at Bocconi University. He holds a PhD in Economics from the University of Warwick and teaches courses including AI Methods for Economic Research and Advanced Econometrics. PhD in Economics, University of Warwick Dr. Schwarz's research focuses on applied microeconomics with particular emphasis on policy-relevant questions. His work uniquely combines causal inference strategies with text analysis, machine learning, and data science techniques to address pressing societal issues. He is particularly interested in how digital platforms shape political behavior and social dynamics. His publication portfolio reveals a strong trend toward investigating the societal impacts of social media, with increasing focus on hate speech, political polarization, and electoral outcomes. The research demonstrates methodological innovation through the development of specialized Stata commands for text analysis, bridging computational linguistics and traditional economic inquiry. Dr. Schwarz actively contributes to advancing methodological approaches in economics through his software development work, creating tools that enable more sophisticated text-based economic research. He maintains an active research agenda exploring the complex relationship between digital communication platforms and real-world socioeconomic phenomena, with recent work examining how online discourse translates to offline behaviors including hate crimes and voting patterns.