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Professor Rainer Böhme is a prominent academic in the field of IT security and privacy at the University of Münster's School of Business and Economics, Department of Information Systems. He also holds a professorship for Security and Privacy at the University of Innsbruck's Institute of Computer Science. His research spans multiple dimensions of digital security, with particular expertise in steganography, digital forensics, privacy-enhancing technologies, and the economic aspects of cybersecurity. Dr. Böhme earned his Doctoral Degree from TU Dresden's Faculty of Computer Science in 2008, following studies in Communications, Economics and Computer Science at Technische Universität Dresden and Université Paris XII. His academic journey includes positions as Assistant Professor at the University of Münster (2010-2015), Postdoctoral Fellow at the International Computer Science Institute in Berkeley (2009-2010), and Scientific Staff at TU Dresden's Chair of Privacy and Data Security. His research interests focus on steganography and steganalysis, digital forensics, privacy-enhancing technologies, security and usability, economic and behavioral aspects of information privacy, virtual currencies, and the economics of information security. His work bridges technical security mechanisms with economic and behavioral considerations, creating a unique interdisciplinary approach to cybersecurity challenges. Analysis of his recent publications reveals a strong trend toward the economics of security, particularly regarding blockchain technologies, cryptocurrency, and privacy valuation. His work increasingly examines the intersection of technical security mechanisms with market dynamics, regulatory frameworks, and user behavior. The research spans theoretical game-theoretic models, empirical studies of user behavior, and practical applications in digital forensics and privacy protection. Program Co-Chair, Financial Cryptography and Data Security (2015) Program Co-Chair, New Security Paradigms Workshop (NSPW) (2015) General Chair, 8th International Conference on IT Security Incident Management & IT Forensics (2014) Organizer and Program Co-Chair, 1st Workshop on Bitcoin Research (2014) Associate Editor, Electronic Commerce Research (since 2013) Associate Editor, EURASIP Journal on Information Security (since 2013) Professor Böhme has supervised multiple Master's theses in Information Systems, including work on static code analysis for smart contracts, remote maintenance protocol security, and application protection requirements in retail banking. His research is supported by significant grants from the German Federal Ministry of Research, Technology and Space, the DFG, and the EU FP7 program, with projects focusing on digital forensics, privacy-enhancing technologies, and cryptocurrency crime prevention. He leads the IT Security Research Group at the University of Münster, which investigates theoretical and applied aspects of information security with particular emphasis on the economic dimensions of security decisions.

• Steganography and steganalysis
• Digital forensics
• Privacy-enhancing technologies
• +4 more

Hami Amiraslani serves as Assistant Professor of Accounting at ESMT Berlin, holding a PhD and MSc from the London School of Economics. Previously faculty at INSEAD and a Wharton School visiting scholar, he teaches Management Accounting and Sustainable Business Finance across master's and executive programs. His educational credentials include: PhD in Accounting, London School of Economics and Political Science MRes, City St George’s, University of London MSc in International Accounting and Finance, London School of Economics and Political Science Amiraslani's research investigates capital markets, corporate governance, and sustainability interfaces with financial contracting and regulation. His work critically examines how ESG integration, board oversight structures, and climate disclosure frameworks reshape market efficiency and investor behavior, blending theoretical rigor with empirical analysis of regulatory impacts. Recent publications (2023-2025) reveal three dominant research trajectories: 1) Board-level governance mechanisms for ESG risk management, 2) Regulatory consequences of climate disclosure mandates on capital allocation, and 3) Bond market valuation effects of sustainability performance. These studies consistently demonstrate how governance quality mediates the relationship between sustainability practices and financial outcomes across debt and equity markets. No scientific awards are documented in the provided materials. His teaching portfolio indicates active mentorship in accounting education though specific student advisees aren't listed. Research activities appear institutionally supported through ESMT's academic infrastructure without explicit grant mentions.

• Capital Markets
• Corporate Governance
• Corporate Sustainability
• +4 more

Ernst Maug, Ph.D. is Professor of Corporate Finance at the University of Mannheim Business School, where he has held a faculty position since February 2006. He has served in significant leadership roles including Associate Dean for Research and director of the business school's doctoral programs. Maug currently holds the position of President of the European Finance Association, reflecting his standing in the academic finance community. Professor Maug's research program focuses on corporate finance with particular emphasis on corporate governance mechanisms. His work examines the interface between financial markets and labor markets, executive compensation structures, shareholder voting behavior, and the role of institutional blockholders. His research demonstrates a consistent interest in understanding how governance structures affect firm performance and decision-making processes. The analysis of Professor Maug's recent publications reveals a strong focus on shareholder democracy, executive compensation design, and the intersection of labor markets with corporate governance. His work frequently appears in the top finance journals including the Journal of Finance, Journal of Financial Economics, and Review of Financial Studies, indicating the high quality and impact of his research contributions. Professor Maug has served in significant academic leadership positions, directing doctoral programs and contributing to research strategy as Associate Dean for Research at the University of Mannheim Business School. His service as President of the European Finance Association further demonstrates his influence in shaping the direction of finance research across Europe.

• Corporate Finance
• Corporate Governance
• Executive Compensation
• +3 more

Vladimir Spokoiny is a Professor at the Departments of Mathematics and Economics of the Humboldt University of Berlin and Head of the Research Group "Stochastic Algorithms and Nonparametric Statistics" at the Weierstrass Institute for Applied Analysis and Stochastics (WIAS) in Berlin, Germany. His research spans multiple areas of statistics, machine learning, and financial mathematics, with significant contributions to nonparametric statistics, high-dimensional data analysis, and statistical methods in finance. Spokoiny received his M.Sc. in applied mathematics from the Moscow Institute of Railway Engineering in 1981 and his Ph.D. in mathematics from Lomonosov Moscow State University in 1988. He completed his Habilitation at Humboldt University in 1996. His academic career includes positions at the All-Union Institute of Railway Transport in Moscow, the Institute for Information Transmission Problems in Moscow, and the Institute for Applied Analysis and Statistics in Berlin before joining the Weierstrass Institute and Humboldt University where he has been a professor since 2002. Spokoiny's research focuses on adaptive nonparametric smoothing and hypothesis testing, high dimensional data analysis, statistical methods in finance, image analysis with applications to medicine, classification, and nonlinear time series. His work often addresses the challenges of nonstationarity in time series data and develops innovative methods for volatility estimation and risk management. He has made significant contributions to the development of adaptive weights smoothing procedures, which have applications in image processing, community detection, and manifold learning. His recent work has expanded into high-dimensional statistics, Bayesian inference, and optimization methods for machine learning, with publications demonstrating novel approaches to Gaussian approximation, Laplace methods, and statistical inference in non-Euclidean spaces. Spokoiny has supervised numerous PhD students including Oliver Reiss, Danilo Mercurio, Ying Chen, Elmar Diederichs, and Mstislav Elagin, whose research has focused on mathematical finance, time series analysis, and statistical methods. He serves as an Associate Editor for The Annals of Statistics (since 2004) and Statistics and Decisions (since 2002), and has previously served on the editorial board of the Journal of Statistical Planning and Inference. His professional activities include reviewing for major statistical journals including Annals of Statistics, Bernoulli, Econometrica, and Journal of American Statistical Association, as well as reviewing grant proposals for the National Science Foundation (USA), German Research Foundation, and Netherlands Organisation for Scientific Research. Spokoiny is a member of several professional societies including the International Statistical Institute, American Statistical Association, Institute of Mathematical Statistics, and Bernoulli Society. He is fluent in Russian (mother tongue), English, and German, and has good knowledge of French. His research group at WIAS focuses on developing novel statistical methodologies with applications across various scientific domains, particularly emphasizing adaptivity and robustness in complex data environments. The group's work has significant implications for financial risk management, medical imaging, and machine learning applications, with recent publications addressing fundamental questions in high-dimensional statistics and nonparametric inference.

• Nonparametric Statistics
• High Dimensional Data Analysis
• Statistical Methods in Finance
• +7 more

Prof. Dr. Peter Gomber is Chair of e-Finance at the Faculty of Economics and Business, Goethe University of Frankfurt, Germany. He serves as Co-Chairman and member of the Board of the 'efl – the Data Science Institute', an industry-academic partnership between Frankfurt and Darmstadt Universities and leading industry partners. Additionally, he is a member of the Exchange Council of the Frankfurt Stock Exchange, Supervisory Board of Clearstream Banking AG, and Research Fellow at the Leibniz Institute for Financial Research SAFE in Frankfurt. Prof. Gomber received his Ph.D. at the Institute of Information Systems at the University of Giessen in 1999 after graduating in Business Administration. Before joining Goethe University in 2004, he worked for five years as Director, Head of Market Development Cash Markets and Xetra Research at Deutsche Börse AG, where he developed new market models and products for cash market trading on Xetra. His research focuses on market microstructure theory, digital finance and fintech, regulatory impact on financial markets, and electronic trading systems. With over 150 publications in leading international journals, his work has significantly influenced the field, particularly his highly cited papers on the Fintech Revolution. His recent research examines market fragmentation, circuit breakers, research unbundling under MiFID II, and the application of AI in financial markets. Prof. Gomber's extensive publication record shows a clear evolution from traditional market microstructure and electronic trading systems toward digital finance, fintech innovations, and regulatory impact analysis. His work bridges technical aspects of financial markets with regulatory considerations, demonstrating how technological innovations interact with market structure and regulation. His scientific recognition includes: IBM Shared University Research Grant (2007) Reuters Innovation Award (2000) Best Paper Award of the Journal of the Association for Information Systems (2020) Best Information Systems Publications Award (2020) Top 1 and Top 3 most cited articles in Fintech research (2025 bibliometric analysis) Prof. Gomber has successfully supervised numerous PhD students, including Tino Cestonaro who won the Best PhD Paper Award 2025. He has acquired significant research funds from both public institutions and the private sector. Notably, a market model invention by Prof. Gomber was granted a patent by the United States Patent and Trademark Office, with two additional market model inventions filed for patent in Europe and the US. He leads an active research team at the Chair of e-Finance, including researchers like Benjamin Clapham, Micha Bender, and Tino Cestonaro. The team collaborates closely with the efl – the Data Science Institute and the Leibniz Institute for Financial Research SAFE, bridging academic research with practical applications in financial markets.

• Market Microstructure Theory
• Digital Finance
• Fintech
• +5 more

Christian Schlag is a Professor at the Finance Department of Goethe University Frankfurt’s Faculty of Economics and Business , where he also serves as Dean. He leads the Chair of Derivatives and Financial Engineering and coordinates young researchers at the Leibniz Institute for Financial Research SAFE. His research focuses on equilibrium asset pricing, derivative securities, and empirical capital market analysis. Research Trends : Schlag’s recent work explores volatility dynamics, climate risk in asset pricing, return predictability, and investor behavior. His 2023 publications examine time-varying consumption growth risk, equity factors, and individual stock volatility models. Earlier studies (2021–2015) address pricing kernels, welfare costs of temperature volatility, and model mis-specification in hedging. Student Placements : Former advisees hold positions at institutions like the European Central Bank, INSEAD, Australian National University, and Warwick Business School. His Chair of Derivatives and Financial Engineering collaborates with networks across Europe, North America, and Asia.

• Equilibrium Asset Pricing
• Derivative Securities
• Empirical Capital Market Research
• +3 more

Axel Dreher is Professor of International and Development Politics at Heidelberg University’s Alfred-Weber-Institute for Economics. He is a leading scholar in political economy and development economics, with extensive affiliations including the German National Academy of Sciences Leopoldina, CEPR, CESifo, KOF, AidData, and EUDN. He serves as Editor of the Review of International Organizations and Co-Director of the Center for European Studies (CefES) at the University of Milan-Bicocca. Ruprecht-Karls-University Heidelberg (2011–Present) Georg-August University Göttingen (2008–2011) ETH Zurich (2005–2008) University of Konstanz (2004–2005) University of Exeter (2003–2004) University of Mannheim (2000–2003) His research centers on political economy , economic development , foreign aid , and globalization . He investigates how political institutions, leadership incentives, and geopolitical interests shape development outcomes and international financial flows. His work often employs empirical and geospatial methods to analyze aid allocation, corruption, migration, and the rise of emerging donors like China. The 15 most recent publications reflect a strong focus on China’s overseas development finance , regional favoritism , and the political determinants of aid . Keywords span political economy, development economics, and international relations, with subfields including Chinese foreign aid, geospatial analysis, governance, institutional quality, and South-South cooperation. His recent book Banking on Beijing and award-winning paper Wedded to Prosperity exemplify his cutting-edge contributions to understanding the political economy of development. Scientific awards include: 2023 Best Paper Award, Political Economy of Aid Society (PEAS) 2023 Best New Dataset Award, International Political Economy Society International Geneva (IG) Award 2020 Excellence in Refereeing Award, World Bank Economic Review (2019) 2010 KfW Excellence Award for policy-relevant research Multiple DFG and Swiss research grants Dreher has advised over 30 PhD students on topics ranging from aid effectiveness to political violence and migration. He has received major research grants from the German Research Foundation (DFG), Swiss Network for International Studies (SNIS), European Commission, and VolkswagenStiftung. His leadership roles include organizing the annual Political Economy of International Organizations conference series and serving on editorial boards of top journals such as World Development and Defence and Peace Economics . He is actively involved in academic labs and research networks including the Courant Research Center on Poverty and Equity at Göttingen, AidData at William & Mary, and the Center for European Studies (CefES). His current work continues to explore the intersection of politics, development, and globalization, particularly through georeferenced data and natural experiments.

• Political Economy
• Economic Development
• Foreign Aid
• +7 more

Prof. Jochen Hartmann holds the Digital Marketing professorship at the TUM School of Management (Munich). Previously, he was an assistant professor at the University of Groningen's School of Business and Economics and worked as a management consultant at McKinsey & Company. He earned his doctorate from the University of Hamburg and coordinated the DFG research group FOR 1452 (2019-2022). His research focuses on digital marketing and machine learning, particularly analyzing unstructured data (computer vision, NLP) and generative AI. Key themes include social media, algorithmic fairness, diversity in advertising, and human-machine interactions. Education: Ph.D. in Business Administration (University of Hamburg), Management Consulting experience at McKinsey & Company. Research interests combine cutting-edge AI techniques with marketing challenges. Recent work explores generative AI's impact on advertising, algorithmic bias in finance, and visual search innovations. His text/image mining studies rank among top-cited articles in marketing journals like the International Journal of Research in Marketing and Journal of Marketing Research. Awards include the EMAC-Sheth Sustainability Award, Lindau Nobel Laureate Meetings' Young Economist distinction, and multiple best dissertation awards. Grants: Led DFG-funded research group (2019-2022). Affiliated with Columbia Business School (visiting scholar) and Mannheim Business School (lecturer in machine learning). Labs/Teams: Active in interdisciplinary research groups focusing on AI applications in marketing and business analytics.

• Digital Marketing
• Machine Learning
• Computer Vision
• +7 more

Prof. Dr. Rudi Zagst is a Professor of Mathematical Finance at the Technical University of Munich (TUM), where he serves as Head of the Department of Mathematical Finance within the TUM School of Computation, Information and Technology. He has held this position since 2001 and is actively involved in teaching, research, and academic leadership. In 2003, he was appointed as a second member of the Faculty of Economics, and since 2004, he has served as Deputy Chairman of the joint elite degree program 'Finance & Information Management' of the University of Augsburg and TUM. Prof. Zagst earned his doctorate in business mathematics from the University of Ulm, where he later completed his habilitation in 2000. His academic journey began with a professional career at HypoVereinsbank AG, where he served as Head of Product Development in Institutional Investment Management before becoming Managing Director of RiskLab GmbH in 1997. His research focuses primarily on financial engineering, risk management, and asset management, with particular emphasis on portfolio optimization, mathematical finance, and quantitative risk management. His work bridges theoretical finance with practical applications, often incorporating advanced mathematical techniques to solve complex financial problems. Recent publications demonstrate his continued interest in GARCH models, portfolio optimization under various constraints, and the application of machine learning techniques to financial problems. Analysis of his recent publications (2024-2025) reveals a strong focus on portfolio optimization under complex market conditions, particularly using GARCH models to capture volatility dynamics. His work increasingly incorporates machine learning techniques (as seen in the credit spread analysis paper) while maintaining rigorous mathematical foundations. Many papers explore the intersection of theoretical finance with practical investment strategies, reflecting his commitment to bridging academic research with real-world financial applications. Professor of the Year 2007 (awarded by Unicum Profession magazine) Prof. Zagst has supervised numerous bachelor's, master's, and doctoral theses through TUM's Finance and Actuarial Science research group. His collaborative work with industry partners through the TUM CAIR Labs and RiskFactory demonstrates strong connections between academic research and practical financial applications. He has received research funding through various industry partnerships with major financial institutions including Allianz, Munich Re, and ERGO Group AG. Prof. Zagst leads the Research Group Finance and Actuarial Science at TUM, which includes Professors Matthias Scherer, Aleksey Min, and Christoph Knochenhauer. The group maintains strong industry connections through the TUM CAIR Labs initiative, collaborating with over 25 financial institutions including Allianz, Munich Re, Deloitte, PwC, and KPMG. Their RiskFactory laboratory serves as a bridge between academic research and practical financial risk management applications in the industry.

• Financial Engineering
• Risk Management
• Asset Management
• +3 more

Prof. Dr. Mareike Kühne is a full-time Professor of Business Administration at the Department of Business and Management, Brandenburg University of Technology. With a unique interdisciplinary background spanning economics, business administration, philosophy, and neuroscience, she bridges affective dimensions with economic rationality to develop holistic decision-making frameworks. Doctorate in Economics, Otto von Guericke University Magdeburg (1992-1997) Fulbright Scholar, San Diego State University (1997-1998) Studies in Philosophy, Humboldt University (2007-2011) Doctoral and Master’s in Neuroscience, Berlin School of Mind and Brain (2011-2013) Her research integrates insights from psychology and neuroscience into capital market-oriented corporate reporting, corporate governance, and normative rationality frameworks. She critiques current economic models for neglecting the embodied nature of cognition, advocating for a more nuanced understanding of rationality that incorporates lived experience. Her 15 most recent works span sustainability reporting (2025), neuroeconomics (2021), M&A disputes (2017), and IFRS standard evolution (2005-2012). These publications highlight her focus on reconciling traditional accounting principles with interdisciplinary approaches to decision-making. Fulbright Scholar (1997-1998) Prof. Kühne has taught at Humboldt University, HHL Leipzig, and the Berlin School of Mind and Brain. She actively participates in professional organizations including the German Society for Philosophy, European Accounting Association, and European Financial Reporting Advisory Group. Her work emphasizes the practical impact of neuroscientific findings on economic policy and standard-setting.

• Accounting
• Corporate Governance
• Behavioral Economics
• +3 more

Steffi Haag is a Professor of Digital Innovation and Entrepreneurship at the Institute of Computer Science , Heinrich Heine University Düsseldorf (HHU) . She bridges the Faculty of Mathematics and Natural Sciences and Faculty of Business Administration and Economics , collaborating with the Center for Entrepreneurship Düsseldorf (CEDUS) to inspire tech startups. Her research focuses on sustainable information systems, digital experiences, and business models. Steffi Haag’s research integrates Shadow IT , Usable Cybersecurity , and Digital Idea Management . Her work emphasizes theoretical , quantitative , qualitative , and mixed-methods research , including experimental and survey methodologies. Steffi Haag’s publications (2018–2024) span Information Systems , Cybersecurity , Digital Twins , and Sustainable Design . Common themes include Shadow IT dynamics , user behavior in security , and innovation management . Hermann Gutmann Award for special scientific achievements (2023) Schöller Fellow (2020) HMD Best Paper Award (2018) Research Award in Data Protection and Data Security (2017) Dissertation Prize (2017) Steffi Haag has secured grants such as the TU Darmstadt Postdoctoral Fellowship for Female Researchers (2016–2018) and Deloitte Foundation Fellowship (2009–2011). She actively moderates conferences and serves as Associate Editor of Business & Information Systems Engineering .

• Digital Innovation
• Digital Business Models
• Shadow IT
• +3 more

Dongwoo Kim is a researcher affiliated with Hanyang University, ERICA Campus (Department of Electronics and Communication Engineering) and has previously collaborated with institutions like POSTECH , Chungnam National University , and Microsoft . His work spans interdisciplinary domains in Computer Science and Engineering . Hanyang University, ERICA Campus - Department of Electronics and Communication Engineering POSTECH - Power Analog Electronics & Semiconductor Devices Lab Microsoft Chungnam National University Kim's research focuses on formal verification of automotive control software, deep learning applications in environmental monitoring, 3D modeling for indoor positioning, and machine learning for signal processing. His recent publications highlight advancements in graph neural networks (GNNs), including analyzing oversmoothing and gradient dynamics, as well as developing geometric vision-language models with domain-agnostic encoders. His 15 most recent articles (2023-2025) address topics like: Optimizing hybrid electric vehicle engine performance 3D modeling for indoor localization GNN training stability UAV-based environmental monitoring Algorithm difficulty prediction for programming problems Millimeter-wave antenna design Kim collaborates with researchers in software engineering , signal processing , and environmental science domains. His work intersects formal methods , applied machine learning , and embedded systems research.

• Computer Science
• Software Engineering
• Artificial Intelligence
• +5 more

Paul Klemperer is the Edgeworth Professor of Economics at the University of Oxford, renowned for bridging theoretical economics with practical policy applications. His work has directly influenced major economic initiatives including the Bank of England's Product-Mix Auction and the UK's £22.5 billion 3G spectrum auction, demonstrating exceptional real-world impact in market design and regulation. His educational credentials feature a BA in Engineering (1st Class Honours with Distinction) from Cambridge University and an MBA (Top Student Award) with PhD from Stanford University, reflecting his interdisciplinary foundation. Klemperer's research centers on industrial organization, environmental economics, and auction theory. He co-invented 'strategic complements,' developed consumer switching cost theory, and pioneered supply function analysis for electricity markets. His scholarship consistently translates complex theoretical frameworks into actionable insights for finance, political economy, and climate policy, emphasizing practical applicability without sacrificing academic rigor. Recent publications reveal sustained innovation in auction algorithms, financial stability mechanisms, and equilibrium theory, with growing emphasis on climate economics and banking regulation. His work shows increasing collaboration with policymakers and economists like Jeremy Bulow to address contemporary crises through market design solutions. His scientific recognition includes: Foreign Honorary Member, American Academy of Arts and Sciences Foreign Honorary Member, Argentinian Economic Association Fellow, British Academy Fellow, Econometric Society Fellow, European Economic Association Klemperer has provided critical advisory services to multiple governments, notably designing the UK's mobile spectrum auction and assisting the US Treasury during the 2008 financial crisis. His policy engagement extends to serving on the UK Competition Commission, with research frequently funded through government contracts and central bank partnerships focused on market design challenges. He maintains active academic leadership as past or present Editor/Associate Editor for 12 economics journals, fostering scholarly discourse across industrial organization, finance, and environmental economics.

• Industrial Organization
• Environmental Economics
• Auction Theory
• +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

Ottmar Edenhofer serves as Director and Chief Economist of the Potsdam Institute for Climate Impact Research (PIK), Director of the Mercator Research Institute on Global Commons and Climate Change (2012-2024), Professor for The Economics and Politics of Climate Change at Technische Universität Berlin, and Chair of the European Scientific Advisory Board on Climate Change (ESABCC) since 2022. His affiliations span leading European climate research institutions and academic bodies. Edenhofer's research focuses on climate change economics, particularly the impact of technological change on mitigation costs, public finance implications of climate policy, distributional effects of carbon pricing, and governance of global commons. His work bridges theoretical economic modeling with practical policy design, emphasizing equity considerations and institutional frameworks for effective climate action. He pioneered social science research at PIK, establishing rigorous methodologies for translating scientific findings into actionable policy advice. His publication record demonstrates consistent leadership in high-impact climate economics research, with seminal contributions to IPCC assessments (serving as Co-Chair of Working Group III for the Fifth Assessment Report) and influential analyses of carbon pricing mechanisms. Recent work increasingly addresses carbon dioxide removal governance, distributional justice in climate policy, and the integration of climate action with broader sustainable development goals. His research consistently appears in top journals including Nature, Science, and Nature Climate Change. Edenhofer has received numerous scientific honors including the Romano Guardini Prize (2018), Deutsche Umweltpreis (2020), and Arthur Burkhardt-Prize (2021). He belongs to the top 1% of most cited scientists globally (2018-2022) and was ranked among Germany's top 10 economists (2019-2020). His policy influence extends to serving as Vatican consultor for the Dicastery for Promoting Integral Human Development and advising EU institutions through ESABCC. As a science-policy interface leader, Edenhofer has shaped climate negotiations leading to the Paris Agreement and continues to advise European institutions on implementing climate neutrality targets. His work emphasizes the critical role of carbon pricing with equitable revenue recycling and the strategic sequencing of climate policies to maintain political feasibility while achieving deep decarbonization.

• Climate Change Economics
• Carbon Pricing
• Public Finance
• +5 more