Jaan Masso is an Associate Professor at the University of Tartu, Estonia, where he has been affiliated with the Faculty of Economics and Business Administration since at least 2001. He currently serves as Chair of the department, Head of the Chair of Economic Modelling, and Programme Manager of the Master's programme in Quantitative Economics. His research focuses on applied econometrics, economic development, foreign direct investment, and labor economics, with particular emphasis on Estonia and the Baltic region as catching-up economies. He has published 146 scholarly works with over 23,000 reads and 1,745 citations, demonstrating significant scholarly impact in his field. Masso's research interests span multiple interconnected areas including foreign direct investment effects , productivity analysis , gender wage gap studies , innovation economics , and labor market dynamics . His work often employs rigorous econometric methods to analyze firm-level and regional economic data, particularly from Estonia and other Baltic states. His recent publications (2023-2025) show consistent scholarly productivity across multiple journals, with particular focus on foreign ownership effects, gender pay gaps in academia, FinTech sector development, and innovative methods for measuring firm innovativeness through web data analysis. His scientific contributions demonstrate expertise in analyzing economic transitions in small open economies, with methodological strengths in econometric analysis of firm-level data and innovative approaches to measuring economic phenomena.
Aimee van Wynsberghe is the Alexander von Humboldt Professor for Applied Ethics of Artificial Intelligence at the University of Bonn, where she also serves as Director of the Institute for Science and Ethics (IWE). Her work focuses on integrating ethical values into AI and robotics design, positioning Bonn as a leader in human-centered AI in Europe. She co-founded the Foundation for Responsible Robotics and advises international bodies such as the European Commission and the World Economic Forum. Van Wynsberghe holds a PhD in Applied Ethics from the University of Twente (2012), an MA in Bioethics (Erasmus Mundus, 2008), an MA in Applied Ethics from KU Leuven (2007), and a BSc in Cell Biology from Western Ontario (2006). Her research spans AI ethics, robotics ethics, care ethics, and sustainable technology, with a particular emphasis on value-sensitive design. Recent publications highlight her leadership in sustainable AI, ethical robotics, and multidisciplinary approaches to AI's hidden costs. She has secured significant funding, including the Humboldt Professorship (€3.5M) and Stiftung Mercator support (€3.8M), and leads the Bonn Sustainable AI Lab. Her awards include the L’Oréal UNESCO For Women In Science Award (2018) and the Humboldt Professorship (2021). Scientific Advisory Roles: Member, European Commission High-Level Expert Group on AI (2018–2020) Director, Artificial Intelligence Lab at TU Delft (2019–2021) Co-founder, ALLAI (2019–2021) Board Member, Konrad Zuse Schools of Excellence (2022–) Labs & Teams: She founded the Bonn Sustainable AI Lab and previously coordinated the 4TU Robotics Task Force. Current affiliations include the University of Bonn’s IWE, the German National Academy of Sciences (Leopoldina), and the German Academy of Science and Literature in Mainz.
Hannes Zacher is a Professor of Work and Organizational Psychology at Leipzig University's Wilhelm Wundt Institute of Psychology. He previously held academic positions at Queensland University of Technology (Australia) and the University of Groningen (Netherlands). His research focuses on occupational health, proactive employee behavior, aging in the workplace, and sustainable organizational practices. He has been awarded grants from institutions like the German Science Foundation (DFG) and the Volkswagen Foundation. Zacher earned his Ph.D. in Psychology from Justus-Liebig-University Gießen in 2009, following a Diploma (equivalent to B.Sc./M.Sc.) in Psychology from the Technical University of Braunschweig (2000–2006). His research interests include occupational health and well-being, proactive and adaptive employee behavior, aging at work and career development, and environmentally sustainable behavior in organizations. He employs methodologies such as longitudinal surveys, experience sampling, and experiments. Key themes in his work address the interplay between work environments and employee well-being, with a focus on fostering sustainable practices and mitigating age-related challenges in the workplace. Zacher leads projects such as the Centre for Digital Work and studies like 'The Role of Work in the Development of Civilization Diseases.' His publications span topics from green workplace behavior to leadership dynamics during crises. He has no listed scientific awards but has secured significant grant funding for his research. Advising and grant details reflect his commitment to impactful research, though specific student names are not provided. His lab and team efforts emphasize translating psychological insights into organizational practices for sustainability and employee well-being.
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.
Dr. Ulrike Kuhl is a Researcher at the University of Bielefeld, serving as Project Coordinator for the AI Academy OWL at the Research Institute for Cognition and Robotics and as Scientific Project Coordinator within the Faculty of Engineering's Machine Learning Group. Her office is located at CITEC 2-412, and she can be reached at +49 521 106-12125. Dr. Kuhl's research spans several interconnected domains at the forefront of human-centered AI development: Explainable Artificial Intelligence (XAI) frameworks and their psychological impact Cognitive learning enhanced through AI technologies Counterfactual explanation methodologies and user behavior Human-AI interaction design principles Applications of machine learning in environmental monitoring and sports analytics Analysis of Dr. Kuhl's publication trajectory reveals a consistent focus on bridging the gap between sophisticated AI systems and human understanding. Her work particularly examines how different explanation types affect user trust and decision-making, with recent publications exploring counterfactual explanations in contexts ranging from water distribution networks to educational technology. She has developed experimental frameworks like the 'Alien Zoo' methodology for systematically studying explanation usability. Dr. Kuhl actively contributes to the Center for Cognitive Interaction Technology (CITEC) at the University of Bielefeld, an interdisciplinary hub where computer scientists, engineers, and cognitive scientists collaborate on next-generation interactive technologies. Through her coordination of the AI Academy OWL initiative, she facilitates regional collaboration between academic researchers and industry partners to advance artificial intelligence applications in the Ostwestfalen-Lippe region.
Prof. Dr. Aimee van Wynsberghe is the Alexander von Humboldt Professor for Applied Ethics of Artificial Intelligence at the University of Bonn. She serves as Director of the Institute for Science and Ethics (IWE) and founded the Bonn Sustainable AI Lab. Her affiliations include the German National Academy of Sciences Leopoldina, the European Commission's High-Level Expert Group on AI (2018-2020), and advisory roles at Deloitte, the World Economic Forum, and the Konrad Zuse Schools for AI Excellence. . Education PhD in Applied Ethics, University of Twente (2012) M.A. in Bioethics, Erasmus Mundus (2008) M.A. in Applied Ethics, Catholic University of Leuven (2007) B.Sc. in Honours Cell Biology, University of Western Ontario (2006) Research Interests focus on integrating ethical frameworks into AI and robotics design. Key areas include AI ethics, robotics ethics, digital ethics, care ethics, and value-sensitive design. She pioneered ethical guidelines for care robots and explores systemic risks in AI sustainability. Publication Trends show a shift toward sustainability challenges in AI, analyzing hidden environmental costs, post-colonial biases in AI standards, and structural ethical frameworks. Her work bridges philosophy, technology, and policy to address global AI impacts. Scientific Awards L'Oréal UNESCO For Women In Science Award (2018) Grants include a 3.8M EUR Mercator Foundation grant (2022), 3.5M EUR Humboldt Professorship (2021), NWO Gravitation Grant (2020), and others. She advises governments and institutions on AI ethics and co-founded the Foundation for Responsible Robotics. Labs & Teams : She leads the Bonn Sustainable AI Lab and has directed the Artificial Intelligence Lab at TU Delft. Her work involves interdisciplinary collaborations, including the interdisplinary task force at Aarhus University (2025).
Elena Simperl is a Professor of Computer Science and Deputy Head of Department for Enterprise and Engagement at King's College London's Department of Informatics. She co-directs the King's Institute for Artificial Intelligence and serves as Director of Research for the Open Data Institute. As a Hans Fischer Senior Fellow at the Technical University of Munich's Institute for Advanced Study, she leads the Trustworthy Knowledge Graphs focus group and contributes to advancing human-centric AI research across European institutions. Professor Simperl obtained her doctoral degree in Computer Science from the Free University of Berlin and her diploma from the Technical University of Munich. Prior to joining King's, she held academic positions in Germany, Austria, and at the University of Southampton, and was a Turing Fellow. Her career trajectory demonstrates consistent leadership in bridging academic research with practical applications in data ecosystems. Her research sits at the critical intersection of AI and social computing, focusing on human-centric approaches to building sociotechnical systems that integrate data, algorithms, and human capabilities. She investigates how to make knowledge engineering more accessible, how to leverage collective intelligence for data quality improvement, and how to design participatory AI systems that address societal challenges like misinformation. Her work spans knowledge graphs, semantic technologies, crowdsourcing, and open data, with particular emphasis on the social dimensions of data-intensive systems and the governance frameworks needed for trustworthy AI deployment. Analysis of her recent publications reveals a strong evolution toward integrating large language models with traditional knowledge engineering practices while maintaining human oversight. There's a clear trajectory from foundational work on knowledge representation toward increasingly applied research addressing real-world challenges in media ecosystems, citizen science, and data governance, with growing attention to policy implications of AI technologies. Fellow of the British Computer Society Fellow of the Royal Society of Arts Hans Fischer Senior Fellow at TUM-IAS (2023) Ranked among top 100 most influential scholars in knowledge engineering of the last decade Included in Women in AI 2000 ranking Professor Simperl has led 14 major European and national research projects totaling millions in funding, including MediaFutures (a Horizon 2020 program tackling online misinformation), QROWD, ODINE, Data Pitch, and ACTION. She currently co-chairs the Croissant working group in ML Commons developing data standards for AI, and serves as president of the Semantic Web Science Association. Her research has directly influenced the development of data ecosystems supporting startups and citizen science initiatives across Europe, demonstrating exceptional ability to translate theoretical advances into practical impact. As Director of Research at the Open Data Institute, she oversees initiatives connecting data entrepreneurs with artists and civic organizations. Her leadership in the MediaFutures project established a data-driven innovation hub that supported 51 startups/SMEs and 43 artists through three open calls, creating a sustainable model for arts-technology collaborations addressing media challenges. Her work with the ODINE project helped create a European ecosystem for data-driven startups, demonstrating her commitment to building practical applications of open data principles.
Prof. Dr. Johannes Sauer is a Professor at the Technical University of Munich (TUM), holding dual affiliations with the TUM School of Management and the TUM School of Life Sciences . His academic focus is on production and resource economics, with expertise in agricultural sustainability, policy evaluation, and circular economy strategies in Asia-Pacific and Latin America. Education: Bachelor’s/Master’s in Agricultural Economics from Universities of Tübingen, Hamburg, and Imperial College London. Doctorate (summa cum laude) in Agricultural Economics from the University of Bonn (2004). Research Interests: Prof. Sauer’s work spans productivity and resilience in agricultural systems, adoption of sustainable technologies, water resource valuation, and bioeconomic trends. He emphasizes smart technologies and circular economy applications in developing regions. His research employs econometric methods to analyze policy impacts and environmental-economic trade-offs. Key Trends in Publications: Recent articles highlight climate-smart agriculture, ICT adoption in rural China, and agroforestry’s role in reducing ecological-economic trade-offs. He explores behavioral drivers of policy participation and innovative tools like the IoFarm decision support system. Awards: 2021 Honorary Professorship at ANU OECD Fellow Awards (2010, 2016) Best Paper Awards (2008–2015) Consulting & Roles: OECD and Asian Development Bank consultant, ESRC Peer Review College member, and liaison lecturer for the German National Academic Foundation. He advises on agri-environmental policies and international development. Labs/Teams: Active in collaborative projects such as PONDERFUL Framework and IPM Popilia , focusing on nexus research and pest management strategies.
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.
Prof. Dr. Michael Schloter serves as Director of the Research Unit for Comparative Microbiome Analysis at Helmholtz Munich since 2011 and holds a Professorship in Microbiology at the Technical University of Munich since 2010. He concurrently acts as Principal Investigator at both the German Center for Lung Diseases (DZL) and the Central for Food and Nutrition (ZIEL) at TU Munich, driving interdisciplinary research at the intersection of environmental and human health through the "Planetary Health" framework. His educational foundation was built through diploma studies at Ludwig Maximilian University Munich and doctoral research at the University of Bayreuth, followed by formative work in Brazil and the United States where he pioneered bioinocula development for stress-resilient agriculture. At Helmholtz Munich (formerly GSF), he evolved from group leader in soil microbial ecology (2001) to Research Unit Director, expanding his focus from agricultural systems to human microbiome-health connections. Dr. Schloter's research program centers on microbiome-host crosstalk across ecological scales, investigating how environmental microbiota interact with human and plant microbiomes to influence health outcomes. His work integrates ecological theory with microbiome analysis to decode host-microbe co-evolution patterns, with applications spanning sustainable agriculture, allergy prevention, and infection control. Key thematic pillars include holobiont theory, probiotic development, and microbiome-mediated disease prevention through environmental quality improvement. Analysis of his 2025 publications reveals a strategic research portfolio bridging fundamental and applied microbiome science. Agricultural studies dominate (maize, potato, apple systems), examining microbial inoculants and soil management, while human health investigations explore preterm birth complications and Antarctic mammal microbiomes. Computational approaches for antimicrobial resistance assessment and ecosystem-scale projects like JenaTron demonstrate methodological breadth, all converging on translating microbiome functionality into real-world sustainability solutions. Major recognitions include: Election to the Bavarian Academy of Science (2021) Consistent placement among the top 1% of highly cited global researchers (2019-2021) Heinrich Baur Research Award (2011) for agricultural microbiology contributions As Research Unit Director, Schloter leads large-scale collaborative initiatives including the DZL and ZIEL consortia, securing major funding for microbiome standardization projects and international research networks. His leadership extends to developing analytical frameworks for cross-ecosystem microbiome comparisons and establishing protocols for translating microbial ecology principles into clinical and agricultural applications. The Comparative Microbiome Analysis unit operates as a nexus for multi-host microbiome research, employing comparative genomics, field-scale agricultural trials, and clinical cohort studies to investigate microbiome dynamics across environmental, plant, and human systems. Current infrastructure includes advanced sequencing facilities and experimental platforms for plant-microbe and host-microbe interaction studies under controlled and natural conditions.
Prof. Dr. Yanjun Ren is a Professor at the College of Economics and Management, Northwest A&F University (NWAFU), China, and has been an IAMO Visiting Research Fellow since May 2024. Prior to his IAMO role, he conducted research at Christian-Albrechts-Universität in Kiel, Germany, from 2012 to 2019. PhD in Agricultural Economics focusing on Food Consumption, Income Inequality, and Health-related Issues in China Former Research Assistant/Associate at Kiel University’s Chair of Agricultural Market Analysis (2012–2019) Dr. Ren’s research spans food chains, consumer behavior, and applied econometrics. His work explores how socioeconomic factors, digital transformation, and policy interventions shape food consumption, nutritional outcomes, and environmental sustainability in China and Central Asia. Key themes include food waste reduction, carbon labeling, internet use in rural economies, and intergenerational health behaviors. His 15 most recent articles (2023–2025) emphasize digital agriculture, sustainable consumption, and health economics. Topics include carbon-labeled products, television/media’s role in nutrition, contract farming sustainability, and the socioeconomic determinants of dietary choices. His methodology integrates econometric modeling, eye-tracking experiments, and spatiotemporal analysis. Email: ren@iamo.de
Cornelia Betsch serves as Director of the Institute for Planetary Health Behaviour (IPB) at the University of Erfurt, where she holds a professorship in Health Communication within the Faculty of Philosophy. She is responsible for the Master's program in Health Communication through the Department of Media and Communication Studies and leads the Health Communication Working Group at the Bernhard Nocht Institute for Tropical Medicine in Hamburg as an external position. Her interdisciplinary work bridges behavioral science, psychology, and public health to address critical global challenges. Habilitation (2006), University of Erfurt: 'The role of risk perception and risk communication in prevention decisions – the example of vaccination decisions' PhD (Dr. phil., summa cum laude, 2006), University of Heidelberg: 'Preference for intuition and deliberation– measurement and consequences of affect- and cognition based decision making' Diplom in Psychology (2002), University of Heidelberg Betsch's research focuses on understanding health and planetary health behaviors, particularly examining vaccination behavior, prudent antibiotic use, and climate-friendly actions. Her work extends globally, with investigations in various African countries on vaccination and antibiotic practices. She pioneered the influential COVID-19 Snapshot Monitoring (COSMO) and subsequently developed the Planetary Health Action Survey (PACE), large-scale studies that regularly track public knowledge, risk perception, protective behaviors, and trust during crises. Her research emphasizes applying behavioral and cultural insights to design effective policy frameworks and explanatory communication that promotes positive health behaviors. The 15 most recent articles showcase Betsch's research evolution toward integrating behavioral science with planetary health, climate action, and vaccine communication. Her work increasingly examines the psychological foundations of climate behavior while maintaining her established expertise in vaccine hesitancy and antimicrobial resistance. Recent publications demonstrate methodological diversity, including systematic reviews, meta-analyses, survey experiments, and large-scale monitoring datasets that bridge academic research with practical policy applications. German Psychology Prize (2021) Thuringian Research Prize (2022) Betsch has secured research funding from independent research organizations, ministries, and foundations to support her work on health communication and planetary health behavior. She serves as a scientific advisor to multiple organizations including the WHO Technical Advisory Group on Behavioral and Cultural Insights, Science Media Center Germany, and Museum für Naturkunde Berlin. At the Bernhard Nocht Institute for Tropical Medicine, she established the WHO Collaborating Center for Behavioral Research in Global Health, demonstrating her commitment to translating research into global health practice. Her engagement extends to policy advising, having served on the Corona Expert Council of the Federal Chancellery during the pandemic. As Director of the Institute for Planetary Health Behaviour, Betsch leads an interdisciplinary team applying social and behavioral science perspectives to planetary health and the climate crisis. The institute serves as a hub for research, education, and science communication at the intersection of human health and environmental sustainability. Her work through the IPB emphasizes Open Science principles and aims to understand the comprehensive factors influencing climate-friendly behavior to identify effective intervention points for policy development.
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.
Prof. Dr. Verena Hüttl-Maack holds the Chair of Marketing and Consumer Behavior at the University of Hohenheim's Faculty of Economics and Social Sciences. Her roles include academic leadership, research, and teaching in consumer behavior, brand management, and advertising effectiveness. She has been affiliated with the university since 2012, following her habilitation in 2013. Her research explores areas like curiosity-driven marketing, sustainability perceptions, and multilingual packaging effects. Education: Studied Business Administration at the University of Augsburg and University of Wales (UK). Doctorate (2010): Thesis on brand extensions. Habilitation (2013): University of Hohenheim. Research Interests: Her work focuses on the psychological and behavioral aspects of consumer decision-making, particularly how curiosity, language use, and brand messaging influence evaluations. Key themes include the role of art in advertising, competitive advertising effects, and sustainable consumption behaviors. Publications: Over 50 peer-reviewed articles in journals like Journal of Consumer Psychology , Psychology & Marketing , and International Journal of Advertising . Recent work addresses sustainability perceptions in food marketing and the impact of augmented reality on consumer experiences. Grants & Collaborations: Led projects on short food supply chains, consumer responses to multilingual packaging, and transformative consumer journeys. Collaborates internationally with institutions in Germany, Spain, Greece, and Hungary. Labs/Teams: Active in the Marketing and Consumer Behavior research group at Hohenheim, focusing on experimental design and applied consumer research.
Prof. Dr. Sakura Yamamura is a Junior Professor (Assistant Professor) in Digital Methods in Human Geography at RWTH Aachen University, holding a Dr. rer. nat. in Geography from the University of Hamburg (2018). Her research focuses on migration, transnationalism, superdiversity, and urban studies, with a particular emphasis on digital methods applied to spatial and social dynamics. She has held postdoctoral and visiting fellowships at institutions including the Max Planck Institute and Maastricht University. Yamamura’s work bridges geography, sociology, and economics, examining how transnational migrants shape global cities like Tokyo and the impacts of globalization on urban spaces and policies. Her recent studies address the intersectionality of entrepreneurship, pandemic effects on LGBTQ+ activism, and digital transformations in urban production. Research interests include the socio-spatial dimensions of migration, intersectional approaches to entrepreneurship, and the interplay between digital tools and human geography. Her academic contributions span peer-reviewed articles in journals like Ethnic and Racial Studies and Urban Studies , as well as edited volumes on superdiversity and global urbanization. She actively engages in interdisciplinary dialogue, addressing topics such as mediated social touch and the methodological challenges of fieldwork in transnational contexts. Yamamura’s career includes roles as a guest lecturer at Adam Mickiewicz University (Poland) and SKEMA Business School (France), reflecting her commitment to international collaboration and teaching. She has advised numerous research projects and contributes to policy discussions on migration and urban development. Her current work at RWTH Aachen emphasizes leveraging digital methods to analyze complex urban systems and transnational networks.
