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Armin Falk is a Professor of Economics at the University of Bonn, leading the BonnEconLab since 2004 and co-founding the briq Institute on Behavior & Inequality. He holds affiliations with the IZA, DIW, CEPR, and Max-Planck-Institut. His research focuses on behavioral economics, exploring how social preferences like fairness and trust influence decision-making, and investigates early childhood development's role in inequality. Falk has received prestigious awards, including the Leibniz Prize and Yrjö Jahnsson Award. His work combines lab experiments, field studies, and representative data analysis. Education includes a PhD in Economics from the University of Zurich after studies in Economics, Philosophy, and History at the University of Cologne. Key research highlights include global climate action support studies (Nature Climate Change, 2024), socioeconomic disparities in child development (JPE, 2021), and global economic preferences surveys (QJE, 2018). He co-authored the book *Warum es so schwer ist, ein guter Mensch zu sein* to popularize behavioral economics. Awards include recognition for contributions to behavioral and development economics. Mentoring programs like *Balu und Du* aim to reduce educational inequality. His work bridges academic research with public discourse through media contributions and policy engagement.

• Behavioral Economics
• Inequality Origins
• Early Childhood Development
• +4 more

Inho Hong is an Assistant Professor at the Graduate School of Data Science, Chonnam National University (Gwangju, Korea), leading the Computational Social Science and Complex Systems Lab (CSL). His research explores socio-spatial systems through data science and complex systems methods, focusing on urban dynamics, human mobility, and AI's societal impact. Education: Ph.D. in Physics (2019), Pohang University of Science and Technology (POSTECH) M.S. in Physics (2012), POSTECH B.S. in Physics (2010), POSTECH Research Interests: Urban Data Science : Analyzing urban scaling laws and innovation pathways Human Mobility : Modeling intra-city movement patterns Social Impact of AI : Ethical and societal challenges Natural Language Processing : Text embedding for policy analysis Complex Systems : Network approaches to protests and epidemics Recent Work Trends: Over 2020–2022, his articles centered on pandemic control, protest networks, and urban green spaces' psychological impact. Recent 2023–2025 work extends to vocational education analysis and mobility laws within cities. His methods combine network science with large-scale data analytics. Awards: Young Statistical Physicist Award (Korean Physical Society, 2021) Best Paper Award (Korea Computer Congress 2021) Global Ph.D. Fellowship (NRF, 2014–2017) Grants & Labs: Current lab focuses on socio-spatial systems. Past roles include Associate Research Scientist at Max Planck Institute for Human Development (2020–2023) and Postdoctoral Fellowships at POSTECH and APCTP.

• Urban Data Science
• Human Mobility
• Social Impact of AI
• +4 more

Prof. Dr. M. Bjørn von Rimscha is a full-time Professor of Media Economics at the Department of Social Sciences, Media and Sport, Johannes Gutenberg University Mainz. He serves as Prodekan for Studium und Lehre since 2023 and previously held leadership roles including Geschäftsführender Leiter of the Institute for Journalism. His research focuses on media economics, digital transformation, advertising markets, and cross-border media management. Positions: Professor (2015–present), Prodekan (2023–present) Education: Freie Universität Berlin, University of Ulster Key Collaborations: Co-edited De Gruyter Handbook of Media Economics (2024), Handbuch Medienökonomie (2021) His recent work examines digital disruption in media industries, payment models for journalism, and the economic value of creativity. He advises PhD students like Robin Riemann and holds editorial roles at the Journal of Media Business Studies . Contact: b.vonrimscha@uni-mainz.de

• Media Economics
• Communication Science
• Digital Media Transformation
• +3 more

Christine Eckert is a Professor of Marketing Analytics at the TUM School of Management (Technische Universität München). She holds a doctorate in economics from Goethe University Frankfurt am Main and has previously held academic positions at University of Technology Sydney and EBS University of Business and Law. Education: Mathematics (Johannes Gutenberg University Mainz, Christian-Albrechts University Kiel); Economics (Goethe University Frankfurt am Main) Her research focuses on quantitative modeling of market participants' decisions, spanning consumer financial behavior, strategic innovation decisions, and corporate social responsibility. She also explores methodological advancements in management research, particularly causal inference techniques. Notable contributions include serving as co-editor for Big Data and Business Analytics (Journal of Business Research) and receiving an Australian Research Council Discovery Grant (2019-2021). Her work has been recognized with the Center for Financial Planning's Best Paper Award (2021). Key journals: Journal of the Academy of Marketing Science, Journal of Management, Journal of Marketing Research She contributes to academic governance through roles like Panel Member for New Zealand's Performance Based Research Fund (2018) and advisory board membership with Super Consumers Australia (since 2022).

• Marketing Analytics
• Quantitative Modeling
• Consumer Financial Decisions
• +4 more

Sebastian Uhrich is a Full Professor of Sport Business Administration at the German Sport University Cologne. He holds a PhD and Habilitation in Marketing from the University of Rostock, Germany, and a Diploma in Sport Management from the University of Bayreuth. His research focuses on sport marketing, consumer behavior, and innovation management in spectator sports. Notable projects include exploring brand positioning in international markets and analyzing the psychological effects of rivalry in sports. Research Interests: Sport marketing strategies, consumer interactions in sports, brand rivalry dynamics, and the internationalization of team sports. His work bridges marketing theory with practical applications in sports contexts. Key Projects: "Avoiding Negative Image Transfer in Sponsorship Crises" "Rivalität und Fan-Aggressionen" (Rivalry and Fan Aggression) "Effects of Humor in Ambush Marketing" Awards: EASM 2020 Best Conference Reviewer Award Activities and Media: He frequently participates in academic conferences, delivers guest lectures, and engages with media on topics like sponsorship strategies and sports branding. His work has been featured in over 100 publications, covering areas such as fan engagement measurement and brand rivalry effects.

• Sport Marketing
• Sport Management
• Sport Consumer Behavior
• +5 more

Professor Christian Deutscher is a prominent sports economist at Bielefeld University's Faculty of Psychology and Sport Science, specializing in the Department of Sport Science within Division V - Sport and Business. As both Research Officer and Internationalization Officer, he leads significant work in sports economics, particularly focusing on betting markets, match-fixing detection, and sports integrity. His research has attracted funding from major institutions including the German Research Foundation. Deutscher's research interests span sports economics, betting market efficiency, match-fixing detection, sports management, and the business aspects of professional sports. His work combines advanced statistical modeling with practical applications in sports integrity monitoring. He has extensively analyzed live betting markets, Bundesliga economics, and the impact of technological innovations like VAR in football. His research often examines the intersection of sports performance, economic incentives, and market behavior. Analysis of his recent publications reveals a strong focus on empirical studies of sports betting markets, particularly live and in-play betting dynamics. His work demonstrates sophisticated use of state-space models and other advanced statistical techniques to detect market inefficiencies and potential integrity issues. Deutscher frequently collaborates with statisticians and economists to develop warning systems for match-fixing, with particular attention to German football leagues. His research bridges theoretical economics with practical applications in sports governance. Professor Deutscher actively contributes to the European Sport Economics Association (ESEA), having edited special issues of conference proceedings and serving in editorial capacities. His work has been published in leading journals including Journal of Sports Economics, Economic Inquiry, and Applied Stochastic Models in Business and Industry. As Research Officer for the Faculty of Psychology and Sport Science, Deutscher oversees research initiatives and international collaborations. His current projects include data-based fraud detection in live betting markets, funded by the German Research Foundation across multiple phases. He also serves on various university committees including the Quality Improvement Commission and Examination Board for the Department of Sport Science. Deutscher maintains strong connections with sports organizations and betting industry stakeholders, ensuring his research has practical relevance for sports integrity monitoring. His work on betting market inefficiencies has direct applications for regulatory bodies seeking to protect the integrity of sporting competitions.

• Sports Economics
• Betting Markets
• Match Fixing
• +7 more

Prof. Melanie Schienle is a Professor and Chair of Statistical Methods and Econometrics at the Department of Economics and Management, Karlsruhe Institute of Technology (KIT). She also holds a professorship in the Department of Mathematics at KIT since 2021. Her expertise spans statistical methods, econometrics, financial risk analysis, and forecasting. She leads the HKMetrics Network and the RespiNow Hub for respiratory disease forecasting. She serves as a Senior Fellow at the Rimini Center for Economic Analysis (RCEA), a steering committee member of the German Economic Association, and a member of the University Research Council at KIT. Education: Ph.D. (Dr. rer. pol.) in Economics from Mannheim University (2008), summa cum laude; Diploma in Mathematics (University of Karlsruhe, 2003) with a minor in theoretical physics. She has held academic positions at Leibniz University Hannover (2012–2015) and Humboldt University of Berlin (2008–2012). Research interests focus on financial networks, systemic risk, time series analysis, and machine learning applications in economics. She co-leads projects on nowcasting and forecasting, including collaborative efforts during the pandemic to predict hospitalizations. Her work integrates advanced statistical techniques with real-world policy implications. Prof. Schienle is an Associate Editor for the International Journal of Forecasting and Journal of Time Series Analysis . She has authored over 50 peer-reviewed publications and contributed to high-impact journals like Nature Communications and Journal of Business & Economic Statistics . She leads the Institute of Statistics at KIT and chairs the MathSEE initiative for interdisciplinary mathematical applications.

• Econometrics
• Statistical Methods
• Financial Risk Analysis
• +4 more

Prof. Dr. Michael Neumann is a faculty member at the Jade University of Applied Sciences in Wilhelmshaven, Germany, affiliated with the Department of Business. His work focuses on economics, institutional economics, corporate ethics, labor market dynamics, and CSR (Corporate Social Responsibility) in tourism. Research Interests: Economics of corporate ethics and CSR Greenwashing and sustainability reporting Labor market transformations and digitization Higher education economics and student retention Publications highlight his research on CSR in tourism, adverse selection in sustainability reporting, and the economic implications of digitization and teleworking. His recent studies explore the interplay between corporate practices and broader economic frameworks.

• Economics
• Institutional Economics
• Corporate Ethics
• +2 more

Christoph Breuer is a Professor at the Institute of Sport Economics and Sport Management at the Deutsche Sporthochschule Köln. His work focuses on sports economics, club management, and policy analysis. He leads research initiatives examining sports integrity, club ownership dynamics, and volunteer engagement. Breuer is actively involved in editorial roles for journals such as the Journal of Global Sport Management and Sport Management Review. His research spans over 800 publications, including studies on pandemic impacts on athletes and clubs, sponsorship strategies, and logistics in sports organizations. He has received the SMAANZ Best Conference Paper Award 2024. Key projects include analyzing multi-club ownerships and evaluating prevention measures against sports match-fixing. He advises PhD students like Thomas Breuer and Christoph Pott. His grants include projects funded by third parties, such as the 'Sportentwicklungsbericht' series and investigations into sports integrity. Breuer collaborates internationally, addressing topics like equipment logistics and athlete well-being. His work bridges academic research with practical applications for sports policy and management. Editorial roles: Journal of Global Sport Management, Sport Management Review Key projects: Sport Development Report (SEB 3.0), UEFA EURO 2024 evaluation Media engagements: Over 100 press contributions on topics like sports economics and club financing

• Sport Management
• Economics of Sport
• Sports Clubs Operations
• +3 more

Michael Knaus is a Junior Professor (Assistant Professor) in the Department of Economics within the Faculty of Economics and Social Sciences at the University of Tübingen, Germany. His office is located at Mohlstraße 36, 4th floor, room 415. He teaches graduate-level courses on causal inference and causal machine learning. Dr. Knaus specializes in the intersection of causal inference and machine learning, with particular expertise in Double Machine Learning methods. His research focuses on developing advanced statistical techniques to estimate treatment effects across various economic contexts including labor markets, finance, education, and health economics. His work bridges theoretical econometrics with practical applications, emphasizing methodological rigor and real-world relevance. His recent publications demonstrate a clear progression toward increasingly sophisticated methods for handling heterogeneous treatment effects and complex causal structures. His research shows strong integration of machine learning algorithms with causal inference frameworks to address challenging policy questions across multiple domains. Double Machine Learning based Program Evaluation under Unconfoundedness (The Econometrics Journal, 2022) Heterogeneous Employment Effects of Job Search Programmes: A Machine Learning Approach (Journal of Human Resources, 2022) How Does Post-Earnings Announcement Sentiment Affect Firms' Dynamics? (Journal of Financial Econometrics, 2024) Effect or Treatment Heterogeneity? Policy Evaluation with Aggregated and Disaggregated Treatments (2021) Dr. Knaus has made significant methodological contributions through his development of the causalDML R package, which implements Double Machine Learning methods for binary and multiple treatment effect estimation. His work has been published in top econometrics and economics journals and has gained recognition in the research community, with his GitHub repository accumulating 36 stars. He frequently collaborates with Michael Lechner, a leading researcher in causal inference and program evaluation. His teaching includes E464 Causal Inference and E463 Causal Machine Learning, both graduate courses that combine theoretical foundations with practical implementation using R. These courses prepare students for advanced research and data science roles requiring sophisticated causal reasoning skills, emphasizing hands-on application of methods to real-world problems.

• Causal Inference
• Machine Learning
• Econometrics
• +3 more

Kirstin Hallmann is a Senior Lecturer at the Department of Sport Economics and Sport Management at the German Sport University Cologne. Her research focuses on sport management, sustainability, athlete development, and event management. She holds a PhD and has contributed to over 211 publications since 2017, including studies on dual career facilitators for elite athletes, paralympic marketing communication, and climate-resilient tourism strategies. Her work explores intersections between sport and society, with notable projects such as 'Social functions and social responsibility of formal sports organizations' and 'Mega-sporting events and their capability of meaning-making'. She serves on editorial boards for journals like Event Management and European Sport Management Quarterly . Education: PhD in Sport Management, German Sport University Cologne Key Research Areas: Dual career systems, sport sustainability, volunteer dynamics, and heritage event authenticity Dr. Hallmann has received awards including the 2024 Elite Best Reviewer for the Journal of Travel Research and the AIEST Best Contribution Award (2018, 2021). Her interdisciplinary approach bridges sport management theory with practical applications in tourism, policy, and athlete well-being.

• Sport Management
• Sustainability
• Athlete Development
• +4 more

Helmut Rainer is a Professor of Economics at the University of Munich and Director of the Center for Labor and Demographic Economics at the ifo Institute. Previously, he held a faculty position at the University of St. Andrews' School of Economics and Finance. He earned his Ph.D. from the University of Essex in 2005. Education: Ph.D. in Economics, University of Essex, 2005 Research Interests: Focuses on applied microeconomics, particularly family economics and labor economics. His work extends to policy analysis involving domestic violence, gender equality, immigration, and social policy. Notable areas include quantifying domestic violence during crises, evaluating childcare policies, and studying the socioeconomic impacts of political movements like Fridays for Future. Policy Contributions: Advised German Federal Government on the Second Gender Equality Report (2015–2017) and contributed to evaluations of family policies and labor market reforms. His recent work highlights the effectiveness of arrests in reducing domestic violence cycles and analyzes the economic consequences of sports-related violence. Awards: Economic Journal Best Paper Award 2016 Grants & Funding: DFG-funded projects on custody effects and gender dynamics Leibniz Association grants for research on violence against women and economic uncertainty Labs/Teams: Leads the Center for Labor and Demographic Economics at ifo Institute, focusing on policy-relevant economic analysis of labor markets, family structures, and demographic trends.

• Applied Microeconomics
• Labor Economics
• Family Economics
• +5 more

Ambuj K. Singh is a Professor in the Department of Computer Science at the University of California, Santa Barbara . With over 278 publications since 1987, his work spans graph neural networks, social network dynamics, and interdisciplinary applications in neuroimaging and cheminformatics. Key collaborations with researchers like Sourav Medya, Arlei Silva, and Francesco Bullo Contributions to network design, opinion dynamics, and interpretable AI His research integrates machine learning with graph theory , addressing problems in community detection , influence limitation , and explanation generation . Recent work focuses on counterfactual explainers and molecular graph analysis . He has contributed to venues like KDD, NeurIPS, WWW, and ICLR, often exploring temporal networks and polarized embeddings .

• Graph Neural Networks
• Social Network Analysis
• Machine Learning
• +3 more

Prof. Dr. Georg Puchner is a faculty member at Mittweida University of Applied Sciences , serving in the Faculty of Media . His academic and professional journey spans roles as a project manager, entrepreneur, and researcher in marketing and sports business management. Education: Diploma in Sports Economics from University of Bayreuth; Ph.D. in Relationship Marketing from Bauhaus University Weimar. Professional Roles: Former project manager at University of St. Gallen; founder of agency "Marketing C+"; leader of DHS Study Center Nuremberg (2015-2019); key contributor to establishing Campus M University (mobile study program). His research focuses on relationship marketing , brand management , and digitalization , particularly in sports and event management . Key themes in his work include customer loyalty, marketing instruments, and behavioral economics. Publications span 2008-2017, emphasizing empirical studies on relationship marketing effectiveness, customer retention, and financial outcomes. His work often involves collaborative research with Prof. Thorsten Hennig-Thurau and others. Contact: puchner@hs-mittweida.de | Phone: +49 3727 58-1587 | Office: Room 39-329, Bahnhofstraße 15, Mittweida.

• Relationship Marketing
• Strategic Marketing
• Brand Management
• +7 more

Prof. Dr. Pamela Wicker is a Full Professor of Sport Management and Sport Sociology at the Faculty of Psychology and Sports Science, University of Bielefeld . Her research spans sport economics, nonprofit organizational capacity, gender dynamics, environmental sustainability, and health outcomes in sport. She has authored over 200 peer-reviewed publications and held editorial roles at journals like European Sport Management Quarterly and Journal of Sports Economics . Education: Dr. phil. (PhD) and Privatdozentin (Habilitation) in Sport Science, German Sport University Cologne. Key Research Areas: Sport governance, gender equity, climate impact of sport, volunteerism, organizational resilience, and health economics. Scientific Recognition: 2024 NASSM Distinguished Research Award 2024 Outstanding Reviewer Award, Sport, Business and Management 2018 NASSM Research Fellow 2017 SMAANZ Best Paper Award Her recent work analyzes environmental behavior in sport clubs, gender diversity in governance, and the socioeconomic impacts of sport participation. She leads empirical studies on volunteer dynamics and sustainability practices, with methodological expertise in multi-level modeling and contingent valuation approaches.

• Sport Management
• Sport Sociology
• Gender Studies
• +5 more