Tim Conley is Professor and Chair at the Department of Economics, University of Western Ontario. He holds a Ph.D. from the University of Chicago (1996). His research focuses on applied econometrics with emphasis on spatial dependence, cross-sectional analysis, and empirical industrial organization. His primary research interests include methodological development in econometrics, particularly around dependence modeling in cross-sectional data and spatial analysis techniques. He has made significant contributions to understanding technology adoption in developing economies and detection of collusion in market mechanisms. Professor Conley's publications demonstrate consistent focus on developing robust statistical methods for economic applications, with recent work emphasizing practical applications in policy evaluation and market analysis. His methodological innovations have been implemented in statistical software packages used by researchers worldwide.
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.
Dr. Pablo Ballesteros-Pérez is a researcher in the field of construction engineering and management, with a focus on project scheduling, bidding processes, and human resource allocation. His work addresses critical challenges in construction procurement, weather impact modeling, and team formation using sociometric techniques. Although his current institutional affiliation is not explicitly stated in the provided text, his extensive publication record in top-tier journals indicates a strong academic presence. His research interests span a wide range of topics including construction bidding behavior, multi-attribute auctions, fast-tracking, weather-aware scheduling, and abnormal bid detection. He has developed practical tools such as the Weather-wise planning system and M-PERT for educational purposes. His methodological approaches often involve statistical modeling, operations research, and data-driven analysis of real-world construction projects. The recent articles highlight a consistent trend in analyzing bidding competitiveness, improving procurement efficiency, and integrating environmental factors like weather into scheduling. His work bridges theoretical models with practical applications in construction management, contributing significantly to both academic knowledge and industry practices. Scientific Awards: None explicitly mentioned in the provided text. Advising and Grants: No information available regarding students supervised or research grants obtained. However, his frequent collaborations suggest active participation in research networks and potential involvement in funded projects. Labs and Research Teams: No specific laboratories or research teams are mentioned in the provided text. However, his co-authorship with researchers from various institutions indicates collaborative research efforts in construction management and engineering.
Robert Porter is the William R. Kenan, Jr. Professor and Department Chair in the Department of Economics at Northwestern University, part of the Weinberg College of Arts & Sciences. He holds a PhD from Princeton University (1981) and has been at Northwestern since 1987. His research focuses on collusion, price wars, and bidders' behavior in auctions, contributing to Industrial Organization and Auction Theory. Key roles include President of the Econometric Society (2015) and the Industrial Organization Society (2020–2021). Education: PhD in Economics, Princeton University, 1981 BA in Mathematics and Economics, University of Western Ontario, 1976 Research interests include empirical and theoretical studies of auctions, collusion detection, and market competition. He has advised over 100 PhD students, many of whom now hold academic and industry positions globally. Awards include the 2018 BBVA Foundation Frontiers of Knowledge Award and Fellowships from the Econometric Society and American Academy of Arts and Sciences. His work has influenced policy through analyses of auction design, antitrust issues, and energy markets. Professional activities include editorial roles at Econometrica , RAND Journal of Economics , and leadership in academic societies.
Christopher Brown is a Visiting Fellow at The Dickson Poon School of Law, King's College London, where he co-teaches an LLM module in UK Competition Law with Professor David Bailey. He is also a practicing barrister at Matrix Chambers, specializing in competition, EU, public, commercial, and sports law. His academic role is closely tied to his professional expertise in legal practice and policy. LLB in Law with German Law, King's College London and University of Passau (1995–1999, 1st class) LLM in European Legal Studies, College of Europe (2000–2001, mention très bien) Bar Vocational Course, Inns of Court School of Law (2001–2002) Christopher Brown's research and professional focus lies in UK and EU competition law , with a particular emphasis on private enforcement , collective proceedings, and the procedural and remedial aspects of competition litigation. His work spans judicial review, state aid, public procurement, and regulatory challenges in sectors ranging from finance and energy to sports and environmental regulation. He has contributed extensively to legal scholarship through books, journal articles, and lectures, influencing both academic and practitioner communities. His recent publications and cases reflect a strong trend toward class actions , regulatory accountability , and the interface between EU law and domestic enforcement . He has been involved in landmark cases concerning interchange fees, LIBOR, the Trucks cartel, and environmental class actions, demonstrating a commitment to advancing legal mechanisms for redress in complex regulatory environments. Queen Mother Scholar of the Middle Temple, 2001 Shortlisted for Competition Junior of the Year 2023 – Legal 500 Shortlisted for Competition Junior of the Year 2016 – Chambers UK Bar Awards Christopher Brown has advised and represented major clients including the CMA, Lloyds Banking Group, the European Commission, and sports governing bodies. He has not supervised any formal students, as his academic role is non-core and part-time. He has been involved in significant regulatory investigations and inquiries, including the CMA panel on hospital mergers and the Office of Rail and Road’s dominance probe. His work bridges academic insight and high-stakes legal practice. He is affiliated with several professional organizations, including the Bar European Group, Competition Law Association, and UK Association for European Law. His contributions to journals and legal guides underscore his role as a thought leader in competition and human rights law. His lectures and seminars, particularly on the CAT’s jurisprudence, provide valuable training for legal practitioners and academics.
Mats Bergman is a Professor of Economics at Stockholm University's Department of Social Sciences since 2005. He also serves as an economic expert at the Patent and Market Court and a member of the Swedish Economic Council, with active roles in research centers Reinvent and the Academy of Management. His research centers on Industrial Organization, specializing in competition policy, public procurement, pharmaceutical pricing, regulation/deregulation, welfare services, and trade-urban economics. Key contributions include empirical analyses of competitive tendering in elderly care, pharmaceutical markets, and e-commerce's impact on cities, often using Swedish market data to inform global policy debates. Analysis of his recent publications reveals consistent focus on empirical competition policy evaluation, merger control effectiveness, and public procurement design. His work demonstrates how regulatory frameworks influence market outcomes in welfare services and pharmaceuticals, with frequent collaborations (notably with Sofia Lundberg and David Granlund) producing high-impact studies in journals like Journal of Health Economics and Review of Industrial Organization. Bergman actively contributes to policy through the Swedish Trade Economic Council reports on trade-COVID interactions, digital-age sustainability, and competition dynamics. His participation in Reinvent and Academy of Management facilitates interdisciplinary research bridging academic theory with practical competition law applications, particularly through his Patent and Market Court expertise.
Hannes Wallimann is a Lecturer at Lucerne School of Business (HSLU Wirtschaft), part of Lucerne University of Applied Sciences and Arts, where he is affiliated with the Institute of Tourism and Mobility (ITM) within the Mobility Competence Center (CC Mobility). His academic background includes a PhD in Economics from the University of Freiburg (2022), an MSc in Economics from the Universities of Bern and Copenhagen (2018), and a BSc in Economics from the University of Bern (2015). His research focuses on public transportation economics, data science applications in competition policy, and tourism economics. Notable projects include analyzing the impact of public transport pricing strategies, detecting cartels in infrastructure procurement using machine learning, and evaluating tourism policies. He has received multiple awards, including the HSLU Publication Award (2023/2024) and the VBW EXCELLENCE AWARD Bronze (2018). Education: PhD Economics (Freiburg), MSc Economics (Bern/Copenhagen), BSc Economics (Bern) Expertise: Cartel detection, transportation policy, synthetic control methods, behavioral economics Current Roles: Lecturer at HSLU, Founder & Managing Director of H. Wallimann Consulting GmbH (since 2022), and member of the Alpnach Economic and Regional Commission His work bridges academic research and practical policy analysis, addressing issues like sustainable mobility, competition law enforcement, and tourism economics. Key contributions include studies on the effects of price reductions in public transport and the economic impact of the Austrian KlimaTicket initiative.
Leslie M. Marx is the Robert A. Bandeen Distinguished Professor of Business Administration at Duke University's Fuqua School of Business and holds a joint appointment as Professor of Economics in Duke's Trinity College of Arts & Sciences. Her research focuses on anti-competitive behaviors, including collusion, bid rigging, and market design. She earned her BS from Duke University and MA/PhD from Northwestern University. Education: BS (Duke), MA/PhD (Northwestern) Affiliations: Fuqua School of Business and Trinity College Economics Department Her research interests span game theory, antitrust economics, and auction design. Key publications include work on collusion detection, merger analysis, and market regulation. Marx has contributed to major journals like the American Economic Review and co-authored The Economics of Collusion: Cartels and Bidding Rings (MIT Press, 2012). She has received grants from the NSF and Australian Research Council, and awards including the Sloan Doctoral Fellowship. Her work bridges academia and policy, influencing antitrust enforcement strategies. Beyond academia, Marx is a former Olympian (1996 U.S. Fencing Team) and a Masters Fencing World Champion (2017).
Sofia Lundberg is a Professor of Economics at the Umeå School of Business, Economics and Statistics (USBE), Umeå University. Her research focuses on public procurement mechanisms, environmental policy implementation, consumer behavior, and healthcare economics. She previously served as Dean of USBE from 2015 to 2023, driving AACSB accreditation and sustainability initiatives. Her work emphasizes green public procurement's role in sustainability, competition policy, and privatization effects in elderly care. Education: PhD in Economics from Umeå University (2001). Research spans over 50 publications, including studies on auction design, regulatory impact, and policy effectiveness. Key projects include leading Umeå's Plant Science for Sustainable Green Transformation initiative and co-authoring the SNS Economic Policy Council Report 2022. External roles include AACSB mentorship and Swedish Competition Authority research advisory. Research trends highlight procurement efficiency, environmental policy tools, and quality assessment in public services. Articles address bid rigging detection, organic farming incentives, and sustainable development in education. Grants include projects on tender evaluation methodologies and procurement process innovation. Labs/Teams: Co-leads the Plant Science for Sustainable Green Transformation research area. Active in the Economic Policy Network and Swedish Research Council initiatives. Collaborates with SNS, Myndigheten för delaktighet, and international panels.
Professor Martin Huber is a leading academic in Applied Econometrics and Policy Evaluation at the University of Fribourg within the Faculty of Management, Economics and Social Sciences . He also serves as a Research Associate at the Centre for European Economic Research (ZEW) and collaborates with institutions like Soda Labs (Monash Business School) . PhD in Economics and Finance (2010) Assistant Professor at University of St.Gallen (2010-2014) Research stays at Harvard University (2011/2012) and University of Sydney (2014, 2019) His research focuses on data-based causal analysis , machine learning , and policy evaluation in labor, health, and education economics. He has pioneered the integration of causal machine learning with traditional econometric methods, developing novel algorithms for bid-rigging detection and dynamic treatment effect analysis. Recent publications demonstrate methodological advancements in graph attention networks , doubly robust estimation , and causal mediation analysis . His work addresses practical challenges like sample selection bias , instrument validation , and high-dimensional data in policy evaluation. Huber actively engages in teaching through initiatives like the ZEW summer school and Fribourg Winter School , where he instructs on R , Python , and causal analysis tools . He maintains a strong online presence through @causalhuber.bsky.social and has published Impact Evaluation in Firms and Organizations (MIT Press, 2023).
Vandana Janeja is Professor and Chair of Information Systems at UMBC, where she also serves as Associate Dean for Research and Faculty Development in the College of Engineering and Information Technology. As founding director of the NSF HDR Institute for Harnessing Data and Model Revolution in the Polar Regions (iHARP) and head of the Multi Data Lab, she leads interdisciplinary research with over $15M in active grants. Her research focuses on spatio-temporal mining, data heterogeneity, and applications in cybersecurity, climate science, and ethical AI. Janeja authored the book Data Analytics for Cybersecurity (Cambridge University Press, 2022) and has published in ACM SIGKDD, IEEE TKDE, and other premier venues. She served as AAAS S&TP Fellow at NSF (2017-2018), contributing to the Harnessing the Data Revolution initiative. At UMBC, she advances diversity in STEM through the ADVANCE leadership program and promotes ethical data science practices as an Innovation Fellow. Leadership: Director, NSF HDR Institute iHARP ($15M) Head, Multi Data Research Lab UMBC ADVANCE Executive Committee ELATES at Drexel Leadership Fellow
Johan Lundberg is a Lecturer at the Department of Education , Umeå University , with research interests spanning Sport Science , Regional Economics , and Spatial Econometrics . His work bridges educational theory with empirical policy analysis, particularly in public procurement and taxation. Research Focus : Spatial interactions in public policy, PE teacher education pedagogy, and regional development Key Collaboration : Institute of Sport Science & Clinical Biomechanics, University of Southern Denmark His publications emphasize spatial econometric methods applied to taxation, procurement, and public service provision. While no explicit awards or student advisement details are available, his work contributes to understanding policy diffusion and economic behavior in public sectors.
Maris Goldmanis serves as a Senior Lecturer in the Department of Economics at Royal Holloway, University of London, having joined in September 2010 after completing his PhD at the University of Chicago. His academic background includes: PhD in Economics, University of Chicago (2010) His research focuses on Microeconomic Theory , Industrial Organization , and Natural Resources Economics , with contributions to United Nations Sustainable Development Goals related to economic systems and resource sustainability. His work bridges theoretical economics with practical applications in digital markets and policy. Analysis of his recent publications reveals a strong emphasis on auction theory and online advertising markets (2020-2023), while earlier interdisciplinary work spans public health and cognitive psychology, demonstrating methodological versatility across economic and behavioral sciences. No scientific awards or fellowships were documented in the source material. He has supervised 2 research works according to his profile, though specific student names and grant details remain undisclosed in the provided text. The materials contain no references to laboratory facilities, research teams, or collaborative groups led by Dr. Goldmanis.
