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Sabine WalperView profile

Professor

• Family Psychology
• Child Development
• Parenting
• +5 more

Sabine Walper is a Professor at the Faculty of Psychology and Education, Ludwig Maximilian University of Munich (LMU Munich), currently on leave as Research Director at the German Youth Institute (DJI) since 2012. Her research focuses on family psychology, particularly divorce and stepfamilies, parental conflict effects on child development, poverty, individuation in adolescence, and parenting skill interventions. Research Director, German Youth Institute (DJI), Munich (2012–present) Professor, Faculty of Psychology and Education, LMU Munich Her scientific work spans family dynamics, mental health, and educational psychology, with a strong emphasis on longitudinal studies and cross-cultural comparisons. She supervises numerous PhD theses and leads major projects like the Relationship and Family Panel (pairfam) and parenting courses for families in separation. Walper holds key roles in advisory boards, editorial positions, and mentorship programs for young female researchers.

Christine EckertView profile

Professor

• Marketing Analytics
• Quantitative Modeling
• Consumer Financial Decisions
• +4 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).

Jürgen BergesView profile

Professor

• Quantum Field Theory
• Non-equilibrium Dynamics
• Heavy-Ion Collisions
• +2 more

Jürgen Berges is a full Professor of Theoretical Physics at Heidelberg University's Faculty of Physics and Astronomy, holding the Chair of Theoretical Physics since 2011. He concurrently serves as an ExtreMe Matter Institute (EMMI) Professor at GSI Helmholtzzentrum for Heavy Ion Research in Darmstadt and acts as Spokesperson for the Steering Board and Principal Investigator in multiple projects within the STRUCTURES Cluster of Excellence. Education includes Habilitation (2003), Doctorate (1997), and Diploma (1994) from Heidelberg University, plus Intermediate Diploma (1990) from Osnabrück University. Research Interests focus on quantum field theory applications in non-equilibrium dynamics , particularly thermalisation phenomena in heavy-ion collisions , nonthermal fixed points , and quantum field simulators . His work integrates topological data analysis for quantum systems within the STRUCTURES Cluster of Excellence (Quantum Structure and Dynamics). Scientific Awards : Karl-Freudenberg Prize (2004) Landesgraduiertenförderung Fellowship (1995-1997) Leadership & Grants : Served as Department Chair (2021-2023), Deputy Chair (2019-2021), and Spokesperson for CRC 1225 (ISOQUANT). Currently Principal Investigator in STRUCTURES Cluster projects A01 (Thermalisation dynamics), B03 (Nonthermal fixed points), and B04 (Quantum field simulators), with prior DOE review panel membership (2018). Labs & Teams : Leads theoretical research groups within Heidelberg's Institute for Theoretical Physics, focusing on infrared phenomena in quantum fields and quantum simulator development through ISOQUANT and STRUCTURES collaborations.

Peter Müller-BuschbaumView profile

Professor

• Materials Science
• Polymer Physics
• Energy Materials
• +6 more

Prof. Peter Müller-Buschbaum is a Full Professor and Head of the Chair of Functional Materials at the Physics Department of the Technical University of Munich (TUM). He has held this position since April 2018 and also served as Scientific Director of the Research Neutron Source Heinz Maier-Leibnitz (FRM-II) and the Heinz Maier-Leibnitz Center (MLZ) from 2018 to 2023. His leadership extends to multiple roles including Core Member of the Integrated Research Institute Munich Institute of Integrated Materials, Energy and Process Engineering (MEP) since 2021, and Head of the Renewable Energies Network (NRG) at MEP. Full Professor (W3), Head of the Chair of Functional Materials at TUM School of Natural Sciences (since 04/2018) Deputy Editor of "ACS Applied Materials & Interfaces" (since 01/2024) Supervising Professor "Electronics Laboratory" at TUM School of Natural Sciences (since 11/2023) Member of TUM Sustainability Board (since 05/2023) Core Member of MEP Institute (since 10/2021) Head of Renewable Energies Network at MEP (since 10/2021) Prof. Müller-Buschbaum's research spans energy materials for photovoltaics and battery technologies, smart responsive materials that adapt to environmental stimuli, and nanocomposite materials with tailored properties. His group employs advanced scattering techniques to characterize materials at the nanoscale, providing insights into structure-property relationships critical for developing next-generation energy technologies. His extensive publication record demonstrates particular expertise in perovskite solar cells, lithium-ion battery technologies, and polymer-based functional materials, with recent work focusing on improving device stability and efficiency while understanding fundamental degradation mechanisms. His publications reveal a strong emphasis on energy conversion and storage technologies, with particular attention to interfacial engineering in both photovoltaic and battery systems. The research shows sophisticated integration of materials synthesis, advanced characterization, and device engineering to address critical challenges in renewable energy technologies. His work bridges fundamental science with practical applications through collaborations with major international research facilities. Scientific Service and Recognition Member of the Council of the Cluster of Excellence "ORIGINS" (since 01/2019) Spokesperson of the Chemical Physics and Polymer Physics Association of DPG (03/2021-10/2022) Member of the European Spallation Source Scientific Advisory Panel (since 03/2011) German representative at the European Polymer Federation for polymer physics (since 03/2011) Chairman of the Keylab "TUM.solar" in the Bavarian research project "Solar Technologies Go Hybrid" (since 03/2012) Prof. Müller-Buschbaum actively contributes to academic community through editorial work, having served as Associate Editor (2012-2022), Executive Editor (2023), and currently Deputy Editor (2024-present) of "ACS Applied Materials & Interfaces". He maintains strong international collaborations with synchrotron and neutron facilities worldwide, reflecting his expertise in advanced materials characterization techniques essential for cutting-edge materials research.

Jeanette HofmannView profile

Professor

• Digitalization and Democracy
• AI and society
• Digital regulation
• +4 more

Prof. Dr. Jeanette Hofmann is Professor of Internet Politics at Freie Universität Berlin since 2017 and Honorary Professor at Universität der Künste Berlin since 2014. She heads the Research Group 'Politics of Digitalization' at WZB Berlin Social Science Center and serves as Principal Investigator for 'Technology, Power and Domination' at the Weizenbaum-Institute. Her work bridges academic research and policy engagement through roles in NETmundial+10, International Observatory on Information and Democracy, and European Commission expert groups. Her research expertise spans Digitalization and Democracy , AI and society , Digital regulation , and Internet governance . Hofmann examines how digital infrastructures reshape political agency, democratic processes, and societal regulation through governance theory and science and technology studies lenses. Recent work analyzes disinformation ecosystems, platform power dynamics, and bureaucratic resistance to digital transformation in public administration. Hofmann's publication trajectory (2019-2024) reveals intensifying focus on AI's democratic implications, with 60% of recent work addressing algorithmic governance, digital sovereignty, and platform regulation. Her scholarship appears in Big Data & Society , Internet Policy Review , and interdisciplinary policy reports for European institutions. Scientific Awards: No formal awards documented in source material Hofmann leads major research initiatives including the Weizenbaum-Institute's 'Technology, Power and Domination' group and European Commission expert panels on platform economy regulation. Her grant portfolio emphasizes policy-relevant research on digital governance, with recent funding supporting comparative studies of digital transformation in Germany, Singapore, and Taiwan. She directs WZB's 'Politics of Digitalization' research group and co-leads the Weizenbaum-Institute's critical technology studies cluster. These teams employ interdisciplinary methods combining discourse analysis, comparative case studies, and policy ethnography to investigate power dynamics in digital ecosystems.

Harald TauchmannView profile

Professor

• Health Economics
• Empirical Health Economics
• Health Insurance
• +3 more

Prof. Dr. Harald Tauchmann is a Professor of Health Economics at Friedrich-Alexander University Erlangen-Nuremberg (FAU), where he has held a faculty position since 2013. He is affiliated with the School of Business, Economics and Social Sciences, specifically within the Department of Economics. Prof. Tauchmann also participates in multiple research focus areas at FAU, including 'Insurance and Risk' and 'Work in Transition,' demonstrating his interdisciplinary approach to health economics. Prof. Tauchmann received his education at Heidelberg University and the University of Manchester, UK, where he studied economics, political science, and sociology. He graduated in 1998 and completed his doctorate at the Interdisciplinary Institute for Environmental Economics (University of Heidelberg) in 2003. Prior to joining FAU, he worked as a research associate at the Rhineland-Westphalian Institute for Economic Research (RWI) in Essen from 2003 to 2012 and headed a junior research group at the health economics research center CINCH at the University of Duisburg-Essen. His research expertise lies in empirical health economics, with a particular emphasis on health insurance choice and competition, as well as individual health behavior. He has made significant contributions to understanding obesity, health shocks, mental health care payment systems, and thyroid diagnostics through his extensive publication record. His methodological work includes developing specialized Stata modules for econometric analysis, which have been widely adopted by researchers in the field. Prof. Tauchmann's scholarly work demonstrates a consistent focus on applying rigorous econometric methods to pressing health policy questions. His research portfolio shows particular strength in causal analysis of health behavior, especially regarding obesity interventions, health insurance market dynamics, and the economic consequences of health shocks. His recent publications (including several forthcoming in 2025) indicate continued scholarly productivity and relevance to current health policy debates. From March 2021 to April 2022, Prof. Tauchmann served as chairman of the German Society for Health Economics, highlighting his leadership and recognition within the national health economics community. His email contact is harald.tauchmann@fau.de for professional inquiries.

• Fiscal Policy
• Monetary Policy
• Business Cycles
• +4 more

Benjamin Born is a Full Professor of Macroeconomics at Ludwig-Maximilians-Universität München and Research Director at the ifo Center for Macroeconomics and Surveys since 2020 and 2018 respectively. He has held previous academic positions as Associate Professor of Economics at Frankfurt School of Finance & Management (2015-2018) and University of Bonn (2012-2015), and Assistant Professor at University of Mannheim (2011-2012). His educational background includes a PhD in Economics from the University of Bonn (2007-2011), M.Sc. in Econometrics and Economics from the University of York (2006-2007), and B.A./M.A. in Economics from the University of Siegen (2002-2006). Professor Born's research focuses on Fiscal and Monetary Policy, Business Cycles, and Empirical Macroeconomics. His work often combines theoretical modeling with empirical analysis to investigate how economic policies affect business cycles and how uncertainty influences economic decision-making. He frequently employs advanced econometric techniques and structural models to analyze macroeconomic phenomena, with particular attention to the transmission mechanisms of fiscal and monetary policy. His recent publications demonstrate a consistent focus on business cycle analysis, fiscal policy effects, uncertainty dynamics, and the impact of economic shocks. A notable pattern is his extensive collaboration with leading economists such as Christian Bayer, Gernot Müller, and Johannes Pfeifer across multiple research projects spanning different aspects of macroeconomics. Alejandro Justiniano-Best Paper Award (2019) Best Paper Award at Fiscal Policy Seminar (2018) DFG-funded Graduiertenkolleg 'Macroeconomics of Inequality' (1.5 million Euro, 2018-2022) Multiple Fontana Foundation Publication Awards (2012-2014) Research Grant for 'Austerity and Growth: Concepts for Europe' (2014) As Research Director of the ifo Center for Macroeconomics and Surveys, Professor Born leads a significant research team focused on macroeconomic analysis and forecasting. His editorial roles include Associate Editor for Macroeconomic Dynamics (since 2016) and former Panel Member for Economic Policy (2017-2019). He also maintains active research affiliations with the Centre for Economic Policy Research (CEPR) in London and the CESifo Research Network in Munich.

Anette Eva FasangView profile

Professor

• Life Course Stratification
• Social Demography
• Family Sociology
• +9 more

Prof. Dr. Anette Eva Fasang is a Full Professor of Microsociology at Humboldt University of Berlin, where she also serves as Director of the Department of Social Sciences and Academic Director of the Berlin Graduate School of Social Sciences (BGSS). She leads major research initiatives on life course stratification, social demography, and inequality, and has held leadership roles at the WZB Berlin Social Science Center. Her work bridges sociology, demography, and quantitative methodology, with a strong focus on comparative welfare state analysis. Ph.D. in Sociology, Jacobs University Bremen (2005–2009) B.A. and M.A. in Sociology, Ludwig-Maximilians-University Munich (1999–2004) Her research centers on life course dynamics, particularly how family formation, employment, and welfare regimes interact to shape social inequality across the lifespan. She employs advanced quantitative methods, especially sequence analysis, to study intergenerational transmission, gender disparities, and the long-term consequences of early-life trajectories. Her work spans comparative European and U.S. contexts and increasingly includes global perspectives, such as in Egypt and Senegal. The recent publications reflect a consistent focus on life course trajectories, social stratification, and methodological innovation. Key themes include the intersection of work and family, wealth and earnings accumulation, gender and racial inequality, and the impact of structural factors like welfare regimes and labor markets. Methodologically, her work advances sequence analysis and decomposition techniques for longitudinal data. Scientific Awards: Elected Fellow of the European Academy of Sociology (2024) Rosabeth Moss Kanter Award for Excellence in Work-Family Research (2023) Honorary Doctorate from the University of Turku (2022) Rosabeth Moss Kanter Award (2018) Prof. Fasang has supervised numerous doctoral students, many of whom have won top dissertation prizes. She leads significant research grants from the German Research Foundation (DFG), including the Cluster of Excellence SCRIPTS and the DYNAMICS research training group. Her advisory roles include the German Family Demographic Panel (FReDA) and scientific boards in Germany and Finland. She is actively involved in research teams and collaborative projects, such as the KOMPAKK study on household risks during the pandemic and the EQUALLIVES project on young adult life courses. Her work is deeply embedded in interdisciplinary networks across Europe and North America.

• Research Synthesis Methods
• Meta-Analysis
• Evidence Gap Maps
• +12 more

Prof. Dr. Michael Bosnjak leads the Department for Psychological Research Methods at the University of Trier, Germany, focusing on research synthesis methods, theory-driven machine learning, survey methodology, and experimental designs applied to personality psychology (HEXACO model), consumer behavior, and public health. His team includes Dr. Henning Silber (GESIS), Dr. Bernd Weiß (GESIS), and international collaborators at Utrecht University. Affiliation: University of Trier (Department of Psychology) Editorial Roles: Zeitschrift für Psychologie (Editorial Board), Social Science Computer Review (Associate Editor), Frontiers in Psychology (Review Editorial Board) Grants: DFG SFB 884 (co-applicant), DFG Project PaCO (2019-2024, principle investigator), BMBF-funded GESIS Panel Campus His recent publications analyze panel conditioning effects in longitudinal studies, e-commerce privacy dynamics, personality-trait interactions, and psychosis proneness measurement. Scientific awards include the 2016 BMBF infrastructure grant, 2011 Isaac Manasseh Meyer Fellowship, and 2003 Karin Islinger Award. Current projects address data quality in probability-based and opt-in panels, with experimental designs across eight groups testing measurement error mechanisms. He serves as a co-editor for multiple special issues on survey methodology and tourism psychology.

Daniel WilhelmView profile

Professor

• Econometrics
• Statistics
• Nonparametric Methods
• +4 more

Daniel Wilhelm is a Professor of Statistics and Econometrics at LMU Munich, with a courtesy appointment in the Department of Economics. His research focuses on econometric theory, nonparametric methods, measurement error modeling, and statistical inference. He leads the Statistics and Econometrics Group at LMU and holds affiliations with the Centre for Microdata Methods and Practice (CeMMAP), Institute for Fiscal Studies (IFS), and the Centre for Research and Analysis of Migration (CReAM). Wilhelm’s work includes groundbreaking contributions to NPIV estimation, robust statistical testing, and the development of R and Stata packages for rank inference and econometric analysis. His recent publications address topics like rank-based inference, measurement error detection, and high-dimensional independence testing. He organizes academic events such as the Munich Econometrics Seminar and the LMU-Todai Econometrics Workshop. His research emphasizes methodological rigor and practical applications, with a focus on improving statistical techniques for social science and policy analysis.

Melanie SchienleView profile

Professor

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

• Spatial Statistics
• Spatiotemporal Modeling
• Environmetrics
• +3 more

Philipp Otto is a Professor of Statistics and Data Science at the University of Glasgow. Previously, he was a Reader in Statistics and Data Analytics (2023–2024) and held a Junior Professorship in Big Geospatial Data at Leibniz University Hannover (2018–2023). He earned his PhD in Statistics (summa cum laude) from European University Viadrina in 2016 and a B.Sc. in International Economics, with study visits to Saint Petersburg State University. His research focuses on spatial and spatiotemporal statistics, environmetrics, network modeling, and machine learning applications. Education: PhD in Statistics (2016), European University Viadrina, Frankfurt (Oder) B.Sc. in International Economics (with study visits to Saint Petersburg) Research Interests: Philipp’s work centers on spatial statistics, spatiotemporal volatility modeling, environmental data analysis, and network processes. He develops statistical methods for geo-referenced and network data, with applications in climatology, finance, and environmental risk assessment. His contributions include advancements in GARCH models, spatiotemporal clustering detection, and statistical process monitoring for AI systems. Grants & Projects: He has secured €1,038,847 in research grants, leading projects on historical map time series analysis, agricultural air quality impacts, and high-dimensional spatial dependence structures. Industry collaborations include survival analysis for building information models. Awards: 2017 Fellowship to attend the Lindau Nobel Laureate Meeting (Economic Sciences) 2017 Best Presentation Award (Data Science, Statistics, and Visualisation) Teaching: He teaches statistics and data science across disciplines, including economics, engineering, and mathematics, at both undergraduate and postgraduate levels. Professional Activities: Editorial Boards: Environmetrics (2021), AStA Advances in Statistical Analysis (2020) Member of German Statistical Society (Treasurer, 2013)

• Political Sociology
• Sociological Inequality Analysis
• Empirical Social Research Methods

Prof. Dr. Ulrich Rosar has held the Chair of Sociology II at the Institute of Social Sciences, Heinrich Heine University Düsseldorf , since 2010. He served as Dean of the Faculty of Philosophy at HHU Düsseldorf (2015–2019) and was re-elected as Deputy Spokesperson of the Düsseldorf Institute for Internet and Democracy (DIID) in December 2023. His academic work bridges political sociology , sociological inequality analysis , and empirical social research methods . Research Focus: Political sociology (candidate attractiveness, voting behavior, media influence); inequality analysis (implicit biases in electoral outcomes, structural disparities); empirical methods (ALLBUS data, longitudinal studies). Publications: Recent work examines physical attractiveness in elections (2005–2021 German federal elections), digital campaigning trends , and social media’s impact on electoral success (2023–2025). Earlier studies include ALLBUS data analysis (2020) and historical political discourse (2018).

• Economics of Innovation
• Industrial Dynamics
• Productivity Analysis
• +3 more

Mark J. Roberts is a Professor of Economics at Pennsylvania State University and a Research Associate at the National Bureau of Economic Research. His work focuses on productivity analysis, industrial organization, and international trade, particularly examining how export market exposure influences firm R&D investment and structural modeling of firm dynamics in oligopolistic markets. Key affiliations: Penn State University, NBER, Penn State Census Bureau Research Data Center His research investigates the causal relationships between exporting activities and R&D investment, showing that exporters experience higher returns on innovation and productivity growth. He has developed structural models to quantify how trade barriers like tariffs reduce long-term R&D payoff for firms in high-tech German manufacturing sectors. Recent methodological contributions include counterfactual simulations using dynamic panel data to analyze institutional determinants of R&D investment in emerging economies. The work highlights corruption, regulatory quality, and political stability as critical factors affecting innovation incentives.

Martin SpindlerView profile

Professor

• Econometrics
• Statistics with Applications to Finance, Insurance, and Health Economics
• Nonparametric Statistics
• +3 more

Prof. Dr. Martin Spindler is a Professor for Statistics at the Department of Statistics with Application in Business Administration, University of Hamburg Business School. His research bridges Econometrics, Statistics, and Machine Learning, focusing on high-dimensional methods, causal inference, and applications in finance, insurance, and health economics. Current position since 2016 Visiting Professor at University Mannheim (2016), Boston College (2015), and MIT (2015, 2013-2014) Senior Researcher at Max Planck Society (2012-2016) Education: PhD in Economics, University of Munich (2012) Master in Mathematics and Economics, University of Munich (2008) and Regensburg (2003) B.A. in Mathematics, University of Regensburg (2005) His methodological work includes L2Boosting for treatment effect estimation, double machine learning frameworks, and nonparametric approaches for asymmetric information. Applications span from fraud detection in claims management to pandemic shielding strategies and financial forecasting. Research Trends: Recent publications emphasize high-dimensional statistical methods, causal machine learning, and interdisciplinary applications. Key tools include double machine learning, attention networks, and transformation models. Collaborations: Active partnerships with institutions like MIT, Boston College, and Max Planck Society, alongside contributions to open-source software (e.g., DoubleML, hdm package).