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Pauline Lemaigre-GaffierView profile

Lecturer

University of Versailles Saint-Quentin-en-YvelinesFrance

Pauline Lemaigre-Gaffier is a Lecturer in Modern History at the University of Versailles Saint-Quentin-en-Yvelines (UVSQ), affiliated with the Institute of Cultural and International Studies (IECI) and the Department of History. She co-leads the VoCriPat project (2023–present) and participates in the DIM PAMIR committee (2022–present) and ANR ACADEC project (2022–present). Her research focuses on European court societies (festivals, ceremonies, urban interactions) Cultural history (material culture, documentary writings) Political history (public finance, administrative practices) Economic history (privileges and businesses) Heritage sciences Her 15 most recent publications explore topics like archival practices in early modern Europe French court administration of the arts economic networks of privileged enterprises royal household logistics spanning 2015–2024, with upcoming works on economic history and heritage sciences in 2025. She has received the Benabou Prize (2012) and was a Thiers Foundation scholarship holder (2009–2010) . Her career includes editorial roles at Entre-Temps (2021–2023) and educational management for the 'Music, Performance, and Heritage' degree (2014–2016). She collaborates with institutions like the Centre de recherche du Château de Versailles and the Heritage Sciences Foundation.

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Tymofiy MylovanovView profile

Associate Professor

University of PittsburghUnited States

Tymofiy Mylovanov is an Associate Professor of Microeconomics at the University of Pittsburgh. His research focuses on political economy, macroeconomic policy design, blockchain applications in governance, and post-conflict reconstruction strategies with a particular emphasis on Ukraine and Eastern Europe. His work bridges theoretical economics with practical policy analysis, addressing issues such as public procurement reforms, sanctions impact on businesses, and the design of fiscal frameworks for war-torn economies. Mylovanov has extensively studied the economic consequences of geopolitical conflicts, including the Russia-Ukraine war, and advocates for institutional reforms to ensure democratic stability and economic resilience. Key research themes include: Optimal mechanisms for foreign aid allocation Blockchain's role in public sector transparency Anti-corruption frameworks in post-authoritarian states Economic policy responses to hybrid warfare Mylovanov's recent publications analyze Ukraine's macroeconomic challenges, the effectiveness of international sanctions, and innovative governance models leveraging technology. His work frequently appears in high-impact policy journals and is cited in global policy discussions about Eastern European development.

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Maurizio ContiView profile

Professor

University of GenoaItaly

Maurizio Conti is a Full Professor of Economics at the Department of Economics, University of Genova . He holds a PhD from the University of Essex and an MSc from the University of Warwick, with additional affiliations as an IZA Research Fellow and board member of the Italian Association of Labor Economics (AIEL) . Educational Background : PhD in Economics (Essex, 2004); MSc Economics (Warwick, 2000); Laurea in Business and Economics (Genova, 1998). Research Focus spans labour economics , industrial economics , and transport economics . Key topics include: Impact of labour market institutions (e.g., employment protection, unions) on firm investment in physical/human capital Transport infrastructure effects on productivity, house prices, and regional development Policy evaluation in regulated industries and public procurement Recent Publications analyze high-speed rail impacts, cooperative industrial relations, and firm dynamics under regulatory frameworks, with methodologies ranging from quasi-experimental designs to cross-country comparative analyses. Scientific Recognition : IZA Research Fellow (since 2006) Organized conferences like the Genoa Labour Workshop and participated in COMPIE and NERI networks Teaching includes courses on MICROECONOMICS , Economic Policy , and Transport Economics , with a focus on applied analysis, productivity measurement, and regulatory frameworks.

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Emiliya LazarovaView profile

Professor

University of East AngliaUnited Kingdom

Emiliya Lazarova is a Professor of Economics and Head of the School of Economics at the University of East Anglia (UEA). She chairs the Royal Economics Society’s Conference of Heads of Departments of Economics. Her research focuses on coalition formation, matching theory, and applied economics, with recent projects analyzing technological innovation via patent data, biodiversity market measurements, and international environmental agreements. She has held academic roles at the University of Birmingham and Queen’s University Belfast, teaching quantitative courses like Applied Econometrics and topics in applied microeconomics. Her research interests include coalition dynamics, social housing allocation, and the political economy of environmental policies. Current projects with Dr. Yuan Gao include developing an ex-ante novelty index for inventions and studying biodiversity valuation mechanisms. Lazarova has secured grants from the Royal Economic Society and British Academy, focusing on property rights and economic development in emerging economies. Her work bridges theoretical models and empirical applications, addressing issues like firm behavior under political pressure, patent innovation cycles, and disability discrimination impacts. Collaborations span institutions globally, reflecting her interdisciplinary approach to economic challenges. Advisory roles include supervising PhD students on topics such as status-seeking in matching markets and conflict resolution via coalition theory. Her teaching expertise complements her research, emphasizing quantitative methods and policy analysis.

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Thomas JaegerView profile

Professor

University of ViennaAustria

Thomas Jaeger is a Professor of European Law at the University of Vienna’s Faculty of Law, specializing in the Internal Market and Competition within European Commercial Law. He leads the Institute for European, International and Comparative Law and serves as President of the Austrian Society for European Law (ÖGER), a member of FIDE, advocating for Austrian perspectives in EU legal developments. His research spans European Commercial Law, State Aid Law, Media Regulation , and Intellectual Property , with notable publications addressing EU legal frameworks for transport, digital markets, and gambling concessions. Recent lectures focus on state aid challenges, constitutional identity conflicts , and merger control . Jaeger supervises dissertations requiring significant scientific contribution and has organized events like the European Law Roundtable with CJEU and State Aid Law Day . He has held visiting roles at Hannover and Munich universities and previously worked at the Max Planck Institute and UNHCHR .

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Gavin SchwarzView profile

Professor

University of New South WalesAustralia

Gavin Schwarz is a Professor and Head of School at the School of Management and Governance within the UNSW Business School . He specializes in organizational change , organizational failure and inertia , and the dynamics of virtual teams , with a focus on how organizations fail during change processes and how to develop applied strategies for change management . His work spans diverse sectors including healthcare, technology, and education, with publications in leading journals such as Academy of Management Learning and Education and Administrative Science Quarterly . Education : PhD in Management (University of Queensland), MPhil (Hons) in Management (University of Auckland), BA in Management and English (University of Auckland). Grants : 2020 Brock University grant for "University communication in times of COVID-19" , 2020 UNSW Medicine grant for "Translation and change: Embedding effective change management in health" , and earlier Australian Research Council and Gordon J. Samuels Fellowship awards. His research explores the development of knowledge in organizational theories , with an emphasis on collective responses to change , HR management during crises , and technology strategy . He has contributed to understanding organizational communication , team innovation , and structural inertia . His 15 most recent publications cover topics from AI’s role in organizational change to pandemic-driven research adaptation, with keywords spanning management science , behavioral economics , and digital transformation . Scientific Awards 2021-2023 : Outstanding Reviewer Awards (Academy of Management Review) 2017-2020 : Best Reviewer Awards (Journal of Organizational Behavior) 2019, 2013, 2011 : Best Paper Finalist/Awardee (Academy of Management divisions) 2007, 2006 : Editorial Board Excellence (Academy of Management Journal) and Gordon J. Samuels Fellowship As an active supervisor in organizational change and HR development , his work supports healthcare innovation and digital transformation. He serves as Editor-in-Chief for the Journal of Applied Behavioral Science and is on the editorial boards of Academy of Management Review , Journal of Management , and Journal of Organizational Behavior . Contact: g.schwarz@unsw.edu.au

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Martin HuberView profile

Professor

University of FribourgSwitzerland

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.

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John Van ReenenView profile

Professor

Ifo Institute - Leibniz Institute for Economic Research at the University of MunichGermany

John Van Reenen holds the Ronald Coase School Professorship at the London School of Economics (LSE), serves as a Digital Fellow at MIT, and directs the Programme for Innovation and Diffusion (POID). His primary academic affiliation remains with LSE where he maintains an active research profile with publications extending into 2025. Van Reenen's research centers on innovation economics, labor markets, and productivity with deep expertise in management practices and firm dynamics. His work examines resource misallocation effects in developing economies like Mexico, structural transformation impacts on labor concentration, and spillover mechanisms from superstar firms. Key contributions span industrial organization, development economics, and technology policy, often utilizing firm-level data to analyze innovation diffusion and organizational resilience. Recent publications (2021-2025) reveal consistent focus on management-productivity linkages, structural economic transformation, and innovation systems. His research increasingly addresses climate-related business resilience, military innovation dynamics, and cross-border spillovers from foreign direct investment. Methodologically, he combines rigorous econometric approaches with subjective expectation data and firm-to-firm transaction analysis. Major recognitions include: 2009 Yrjö Jahnsson Award (European equivalent of Bates Clark Medal) 2014 European Investment Bank Prize for Excellence in Economic and Social Research 2017 Order of the British Empire (OBE) 2022 Honorary Foreign Membership in the American Economic Association No specific student advising or grant information appears in the source material, though his POID leadership implies research coordination responsibilities. As Director of the Programme for Innovation and Diffusion, Van Reenen oversees a research initiative investigating innovation drivers and diffusion mechanisms across global firms and economies, fostering collaboration between LSE, MIT, and international policy institutions.

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Imen NOUIRAView profile

Professor

Rennes School of BusinessFrance

Dr. Imen NOUIRA is a Full Professor in the Supply Chain Management & Information Systems Academic Area at Rennes School of Business (since 2023). She holds a Ph.D. from Grenoble INP (2013) and has extensive academic experience, progressing from Assistant Professor (2012-2019) to Associate Professor (2019-2023). Her research focuses on supply chain optimization under environmental considerations, carbon emissions modeling, and pandemic logistics. She has published in top journals like European Journal of Operational Research and International Journal of Production Economics. Key research interests include: Environmental Sustainability : Green supply chain design, carbon taxation strategies, and eco-friendly product development Healthcare Supply Chains : Pandemic medical product distribution and crisis management Operations Research : Inventory optimization, lead time coordination, and stochastic modeling Her work has been recognized with awards such as the 2017 2nd Best Student Paper Award at IESM. She actively contributes to international conferences and collaborates with industry partners on projects like olive oil supply chain design and carbon tax policy analysis. Rennes School of Business affiliations include roles in the: Green, Digital & Demand-Driven Supply Chain Management (G3D) research center Agribusiness, Sustainable Development, and CSR initiatives

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Carolin VollenbergView profile

Research Fellow

University of Duisburg-EssenGermany

Dr. Carolin Vollenberg serves as a Post-Doctoral Researcher at the Chair of Information Systems & Transformation Management within the Faculty of Computer Science at the University of Duisburg-Essen (UDE). Her academic journey includes a PhD from the University of Muenster (2021-2025), an M.Sc. in Technical Consulting and Management from Hochschule Hamm-Lippstadt (2018-2020), and a B.Eng. in Biomedical Technology from the same institution (2014-2018). Prior to her current position, she worked as a Research Assistant at South Westphalia University of Applied Sciences and gained industry experience at Zapp Systems GmbH. PhD in Business Informatics (2021-2025), University of Muenster M.Sc. Technical Consulting and Management (2018-2020), Hochschule Hamm-Lippstadt B.Eng. Biomedical Technology (2014-2018), Hochschule Hamm-Lippstadt Research Focus: Vollenberg specializes in the governance of lightweight IT systems, digital transformation in public and healthcare sectors, and process mining applications. Her work bridges technical implementation with organizational behavior, particularly examining resistance to automation in sensitive domains like healthcare. She investigates how organizations navigate unintended consequences of technology adoption, with emphasis on RPA (Robotic Process Automation), omnichannel transformation, and data-driven process optimization. Her research methodology combines ethnographic field studies with quantitative process analysis. Publication Trends: Analysis of her 16 publications (2020-2025) reveals strong focus on healthcare IT (45% of works), public sector digitalization (30%), and foundational process management (25%). Recent output shows increasing emphasis on ethical dimensions of process mining and sustainability applications. Her collaborative work spans multiple European institutions with consistent publication in top IS conferences (ICIS, ECIS, HICSS). Best Paper nomination at HICSS-55 (2022) Associate Editor for General Track at Internationale Tagung Wirtschaftsinformatik (WI) 2025 Professional Engagement: Vollenberg actively contributes to academic discourse through editorial roles and peer review. Her industry collaborations with healthcare providers and public sector entities demonstrate applied research impact. Current projects examine virtual nursing transformations and crisis-responsive RPA implementations, reflecting her commitment to solving real-world operational challenges through information systems innovation.

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Pardis PishdadView profile

Associate Professor

Georgia Institute of TechnologyUnited States

Pardis Pishdad is an Associate Professor and Graduate Program Director in the School of Building Construction at Georgia Institute of Technology’s College of Design. She directs the Smart Built Environment Eco-System (Smart Bees) Laboratory, focusing on integrating cyber-physical systems, digital twins, and innovative project delivery methods (e.g., IPD, Flash Tracking) for sustainable built environments. Her research bridges technology adoption, trust-building in construction contracts, and supply chain optimization. Education: PhD, Environmental Design and Planning (Virginia Tech) Master’s Degrees: Civil Engineering (Virginia Tech), Design Studies in Project Management (Harvard), Architecture (University of Tehran) Bachelor’s in Architectural Engineering (Azad University of Shiraz) Research Interests: Her work emphasizes sustainable construction practices using IoT, BIM, and blockchain. Key areas include lifecycle cost analysis, lean construction, and smart building technologies. She explores trust dynamics and collaboration in construction projects through game theory and process optimization. Recognition: 2018 ENR Top 20 Under 40 Professionals 2016 CII National Outstanding Researcher Award 2020-2022 Georgia Tech Provost Teaching Learning Fellow Advisory Roles: Academic Advisor for CII’s Supply Chain Management Community, Vice Chair of BuildingSMART’s BIM Forum 5D Taskforce. Formerly advised the Construction Management Association of America’s Board (2016–2018). Industry Collaboration: Partnerships with Turner Construction, GDOT, and VDOT. Research on Flash Tracking and blockchain has been integrated into industry practices. Labs & Teams: The Smart Bees Lab pioneers cyber-physical systems for smart buildings, exploring AI-driven solutions and sustainable construction frameworks.

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Henrik HallerView profile

Associate Professor

Mid Sweden UniversitySweden

Henrik Haller is an Associate Professor at Mid Sweden University, affiliated with the Department of Natural Sciences, Design and Sustainable Development (NDH). His work integrates environmental science with practical applications in tropical regions, particularly focusing on land use, soil remediation, and sustainable food systems. Academic Title: Doctor of Philosophy Location: Östersund, Sweden Key Research Areas: Multifunctional land use, bioremediation, agroforestry, and sustainable development in the Global South Haller's research emphasizes transforming environmental challenges into opportunities. His work includes: Bioremediation of heavy-metal-contaminated soils using amaranth plants Urban agriculture potential in Swedish cities Life cycle assessments of cold-weather aquaponic systems Waste valorization strategies for contaminated lignocellulose sediments Universal design approaches to zero-waste communities Industrial symbiosis for local food systems He has ongoing projects in urban farming, wastewater resource recovery, and sustainable behavior transformation. His publications span topics from fungal metal tolerance to policy challenges in environmental governance.

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Daniel SchiffView profile

Assistant Professor

Purdue UniversityUnited States

Dr. Daniel Schiff is an Assistant Professor of Technology Policy at Purdue University’s Department of Political Science and Co-Director of the Governance and Responsible AI Lab (GRAIL) . He holds a PhD in Public Policy from Georgia Tech and has extensive experience in AI governance, ethics, and policy. His research bridges philosophy, public policy, and technology, focusing on AI’s societal impacts in domains like education, finance, and criminal justice. He previously served as Responsible AI Lead at JP Morgan Chase and Secretary of the IEEE 7010-2020 AI ethics standard. Education: PhD in Public Policy, Georgia Institute of Technology (2022) MS in Social Policy, University of Pennsylvania (2013) BA in Philosophy, Princeton University (2012) Research Interests: Dr. Schiff examines AI governance through mixed-methods approaches, including industry standards, public opinion dynamics, and ethical education for STEM students. His work emphasizes interdisciplinary collaboration to address challenges like AI bias, public accountability, and ethical AI adoption. Recent projects include studying police reform via AI, AI literacy among students, and the role of synthetic data in healthcare. Articles Overview: His publications span AI policy, ethics, and governance, with notable contributions to Policy Studies Journal , Science and Public Policy , and IEEE Transactions on Technology & Society . Recent work includes analyzing misinformation dynamics and AI’s role in policing oversight. Awards & Grants: National Institute of Justice Award ($972,000) Google Research Gift ($5,000) Purdue Seed Funding for AI Ethics Education ($10,000) Labs & Initiatives: Co-leads GRAIL, which fosters interdisciplinary AI research. Engages with global AI policy efforts, including the Academic Alliance for AI Policy (AAAIP) and NIST AI Safety Institute.

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Chen ZhiView profile

Assistant Professor

National University of SingaporeSingapore

Chen Zhi is an Assistant Professor in the Department of Analytics and Operations at the NUS Business School, National University of Singapore, where he has been employed since July 2020. His academic work focuses on operational challenges in innovation-driven value chains, with particular expertise in new product development, innovation sourcing, AI economics, and wisdom of crowds methodologies. Dr. Chen received his Ph.D. in Management (Decision Sciences) from INSEAD (2014-2020) and his B.E. with First Class Honors in Industrial and Systems Engineering from the National University of Singapore (2009-2013). During his academic journey, he completed an overseas exchange at the Georgia Institute of Technology and a research internship at École Polytechnique in France. Chen's research spans two primary streams. The first addresses R&D phase challenges in new products, examining how firms can optimally design supplier bases and informational policies to procure innovation from suppliers, with recent focus on policy impacts on AI-based product development such as autonomous vehicles. The second stream investigates demand forecasting for new products, exploring how to aggregate diverse expert insights into consensus forecasts and quantify underlying uncertainty through obtained forecasts. His publication record demonstrates a strong trajectory in top-tier operations and management journals, with recent work appearing in Management Science, Manufacturing & Service Operations Management, and International Journal of Forecasting. Chen's research shows increasing focus on AI development challenges, uncertainty quantification in forecasting, and strategic approaches to innovation sourcing in complex technological environments. At NUS Business School, Chen teaches Managerial Operations and Analytics for the MBA program and Decision Analytics Using Spreadsheets for undergraduate students. Previously at INSEAD, he taught tutorials for Uncertainty, Data and Judgment, and Production and Operations Management courses.

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Marzyeh GhassemiView profile

Associate Professor

Massachusetts Institute of TechnologyUnited States

Marzyeh Ghassemi is an Associate Professor at MIT in the Department of Electrical Engineering and Computer Science (EECS) and the Institute for Medical Engineering & Science (IMES). She also holds a Canadian CIFAR AI Chair and is a faculty member at the Vector Institute. Her affiliations include the Jameel Clinic and CSAIL. Dr. Ghassemi's work focuses on ethical AI, algorithmic fairness in healthcare, and mitigating bias in medical datasets. She has pioneered projects analyzing racial disparities in end-of-life care, vocal disorder diagnosis using accelerometers, and improving subgroup robustness in machine learning. Education: PhD in Computer Science, MIT MSc in Biomedical Engineering, University of Oxford (Marshall Scholar) B.S. in Computer Science and Electrical Engineering, New Mexico State University (Goldwater Scholar) Research Interests: Her work bridges AI and healthcare, emphasizing fairness, reproducibility, and ethical deployment. Key areas include: - Algorithmic Fairness: Addressing biases in medical imaging and clinical decision systems. - Bias Mitigation: Developing methods to decorrelate sensitive information from predictions. - Health Equity: Studying disparities in end-of-life care and organ procurement. - Generative AI: Applications in mental health and medical imaging. Publications: Her recent work highlights challenges in vision-language models (e.g., handling negation), regulatory gaps in health AI, and bias reduction techniques. These efforts aim to ensure AI systems are both accurate and equitable in clinical settings. Awards: Herman L. F. von Helmholtz Career Development Professorship CIFAR Azrieli Global Scholar MIT Tech Review’s 35 Innovators Under 35 Canada Research Chair Leadership & Impact: She co-chaired the NeurIPS Workshop and founded the Association for Health Learning and Inference. Her projects like Quantifying Racial Disparities in End-of-Life Care reveal systemic biases in ICU treatments. She advocates for transparent AI deployment through frameworks like FUTURE-AI and TRIPOD+. Labs & Teams: Leads MIT’s HealthyML group, collaborating on projects such as voice misuse detection, federated learning for medical imaging, and AI-driven mental health prediction.

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