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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.

• Work and Organizational Psychology
• Occupational Health and Well-being
• Proactive Employee Behavior
• +3 more

Prof. Dr. Peter Vorderer is a full professor of Media and Communication Studies at the University of Mannheim's Philosophical Faculty, leading the Institute for Media and Communication Studies. He holds a PhD from TU Berlin and has held professorships at institutions such as the University of Toronto, USC's Annenberg School, and the Free University of Amsterdam since 2010. His research focuses on media psychology, exploring media effects, entertainment media narratives, and the pervasive role of digital connectivity in everyday life. Education includes studies at Heidelberg and Mannheim Universities, with additional training at NYU and the University of Michigan. He has served as editor for Zeitschrift für Medienpsychologie and Media Psychology , and as President of the International Communication Association (2014-2015). His work bridges psychological and societal impacts of media, emphasizing entertainment's cognitive and emotional dimensions. Key research themes include media-induced resonance theory, mobile communication's psychological effects, and digital dependency. His 15 most recent articles (2014-2020) reveal a focus on media's role in well-being, social behavior, and cognitive processing. Awards include ICA Fellowship (2016). His lab contributes to understanding media's dual hedonic/eudaimonic functions and their societal implications.

• Media Psychology
• Entertainment Media
• Media Effects
• +3 more

Asia J. Biega is a tenure-track faculty member (W2) at the Max Planck Institute for Security and Privacy (MPI-SP), where she leads the interdisciplinary Responsible Computing group. She is also a principal investigator of the Cluster of Excellence CASA and the FINDHR consortium. Her work sits at the intersection of computing and society, focusing on responsible computing, data protection & governance, and digital well-being within data-driven and AI-based systems. Dr. Biega's research spans multiple disciplines including computer science, law, philosophy, and social sciences. Her work examines how principles of responsible computing can be computationally operationalized, with particular attention to data protection frameworks, privacy technology governance, and digital well-being. She actively collaborates across disciplinary boundaries to make technical contributions while supporting research in other fields. Her approach combines theoretical rigor with practical applications, often drawing from her industry experience at Microsoft and Google. Her publication record reveals a strong focus on the intersection of fairness, privacy, and transparency in information retrieval systems. She has pioneered work on data minimization compliance, fair ranking algorithms, and user perceptions of data collection practices. Her research consistently bridges technical and legal perspectives, particularly examining how GDPR principles can be computationally implemented. Recent work shows increasing attention to generative AI governance, algorithmic hiring systems, and the relational aspects of data in recommender systems. Dr. Biega has received several prestigious awards including the Council of Europe's Rodotà Award for innovative research in data protection, the SaTML Notable Reviewer Award, the GI-DBIS Dissertation Award of the German Informatics Society, and recognition as one of the '100 Brilliant Women in AI Ethics' in 2025. She has advised numerous PhD students and postdocs who have gone on to faculty positions at institutions including the University of Trieste, Penn State, and the University of Washington. Her research is funded by the Max Planck Society, Alexander von Humboldt Foundation, and the European Union (Horizon Europe FINDHR). She serves as General Co-Chair for ACM FAccT 2025 and has held leadership roles in multiple academic conferences.

• Responsible Computing
• Data Protection & Governance
• Digital Well-Being
• +3 more

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

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

Atreyi Kankanhalli is a Professor at the National University of Singapore, specializing in Information Systems with a focus on knowledge management, healthcare IT, and digital innovation. Their research spans over three decades, with prolific contributions in top journals like MIS Quarterly, Journal of AIS, and Information & Management. They have co-authored over 150 papers addressing topics such as crowdsourcing, online communities, and the impact of AI on scholarly practices. Notable work includes studies on user adherence to health apps, innovation in public sector data utilization, and the ethical challenges of generative AI in peer review. Kankanhalli has also led research on global virtual teams and digital technologies' role in social justice, reflecting a commitment to both technical and societal dimensions of information systems. Education & Background: While specific degree details are not provided, their extensive publication history and academic roles imply advanced qualifications in Information Systems or related fields. They have collaborated with global researchers across institutions like NUS, University of Illinois, and Singapore Management University. Research Themes: Core areas include digital health interventions (e.g., fitness app adherence), organizational innovation via open data and crowdsourcing, and the socio-technical challenges of AI in academia. Their work often bridges theoretical frameworks with practical applications, such as healthcare decision support systems and policy-driven technology adoption. Impact & Influence: As an editorial board member and frequent conference contributor (e.g., ICIS, PACIS), Kankanhalli shapes the field's research agenda. Their recent focus on generative AI's implications highlights proactive engagement with emerging technologies' ethical and methodological challenges.

• Information Systems
• Healthcare IT
• Knowledge Management
• +5 more

Magnus Liebherr is a Professor at the University of Duisburg-Essen , focusing on Technology Acceptance , Artificial Intelligence , and Sustainable Transportation . His work bridges Business Administration with Human-Computer Interaction , exploring how users adapt to emerging technologies like autonomous vehicles and AI systems. Key research areas include: Acceptance of AI applications in mobility Business model development for climate-neutral transportation Cognitive and psychological factors in technology interaction Digital media effects on adolescent well-being Trust calibration in automated systems His recent publications examine Large Language Model dependency , gamified language learning , and mental workload metrics for autonomous vehicles. While no formal awards are listed, his interdisciplinary work spans psychology , engineering , and business strategy .

• Technology Acceptance
• Artificial Intelligence
• Sustainable Transportation
• +4 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.

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

Botond Kőszegi is a Professor of Economics at the Faculty of Economics and Business, University of Bonn. His primary contact information includes the university email bkoeszeg@uni-bonn.de and phone number +49 228 73-60399. His research profile is prominently featured on the University of Bonn's economics department website. Kőszegi's research spans multiple areas within behavioral economics, with particular focus on how psychological factors influence market outcomes. His work examines consumer behavior in competitive markets, particularly when consumers exhibit systematic biases or misunderstandings. He has made significant contributions to understanding reference-dependent preferences, self-control problems, and how market structures interact with consumer naivete. His theoretical frameworks have important implications for consumer protection policies, especially in financial markets where consumers face complex decisions with limited attention. His publication record demonstrates consistent high-impact contributions to top economics journals including the Quarterly Journal of Economics, American Economic Review, Review of Economic Studies, and Econometrica. His recent work (2021-2025) shows increasing focus on digital markets, ecosystem competition, and the welfare implications of online steering practices. The progression of his research indicates a deepening exploration of how behavioral factors shape market outcomes across various contexts, from traditional consumer markets to emerging digital platforms. Kőszegi frequently collaborates with Paul Heidhues, with whom he has co-authored numerous influential papers. His collaborative network also includes researchers such as Matthew Rabin, Takeshi Murooka, and Philipp Strack. His work has been featured in major media outlets including the Financial Times and Zeit Online, indicating real-world policy relevance. His research program has evolved from foundational work on reference-dependent preferences to increasingly complex applications in digital markets and consumer protection. This trajectory reflects both theoretical depth and practical relevance, addressing pressing questions about how to design markets and regulations that account for realistic consumer behavior.

• Behavioral Economics
• Industrial Organization
• Consumer Protection
• +7 more

Tim Schweisfurth is a Full Professor in Organizational Design and Collaboration Engineering at the School of Management Sciences and Technology, Hamburg University of Technology (TUHH), Germany. He previously served as an Associate Professor in High-Tech Business at the University of Twente and in Technology and Innovation Management at the University of Southern Denmark. He received his PhD from TUHH and his venia legendi from the Technical University of Munich (TUM). His research focuses on innovation and entrepreneurship, with key themes including digital and technology-driven innovation, idea generation and evaluation, and distributed and collaborative innovation. His work has been published in leading journals such as Research Policy , Strategic Management Journal , Organization Science , and Creativity and Innovation Management . His recent publications reflect a strong trend in understanding how organizational structures, digital platforms, and user involvement influence innovation outcomes. Topics include internal crowdfunding, idea evaluation biases, user innovation, and Industry 4.0 adoption in SMEs, indicating a deep engagement with both theoretical and applied aspects of innovation management. Editor-in-Chief, Creativity and Innovation Management Advisory Editor, Research Policy He has collaborated with major companies such as Siemens, Osram, Audi, Panasonic, and EWE in both research and consulting. He has advised on innovation strategies and digital transformation, contributing to real-world applications of his research. His work has not explicitly mentioned grants, but his extensive industry collaborations suggest strong project funding and engagement. He leads the research group on Organizational Design and Collaboration Engineering at TUHH, which investigates collaborative innovation, digital platforms, and employee-driven innovation. The team engages in both empirical and theoretical research, often using large datasets and field experiments to understand innovation dynamics in organizations.

• Innovation Management
• Technology-Driven Innovation
• Digital Innovation
• +7 more

Prof. Rita Bauer is a Senior Lecturer and Privatdozentin in Psychology at Technische Universität Dresden, Germany. She leads the Outpatient Clinic for Psychotherapy within the Department of Psychiatry and Psychotherapy at University Hospital Carl Gustav Carus. Her academic journey includes a PhD (Dr. phil.) from the University of Regensburg (2010), postdoctoral habilitation in Psychology (2014), and a Habilitation in Medicine at TU Dresden (2014). Bauer specializes in mood and anxiety disorders, suicide prevention, caregiver burden, and e-mental health. She has pioneered research on digital tools in psychiatry and the impact of online support groups on bipolar disorder management. Education: Diploma in Theology (1994–2000), University of Regensburg Diploma in Psychology (1997–2003), University of Regensburg PhD in Psychology (2010), University of Regensburg Postdoctoral Habilitation in Psychology and Medicine (2014) Certified in Cognitive-Behavioral Therapy (2004–2007), Institut für Therapieforschung Bauer’s research focuses on the intersection of technology and mental health. Her work on caregiver burden and suicide prevention has earned her the Lilly Research Prize (2006) and a stipend for postdoctoral research (2010–2012). She co-founded the Werner-Felber-Institut for Suicide Prevention and chairs the Working Group on Family Therapy within the German Association for Psychiatry. Her publications analyze digital health applications, including psychiatrist use of technology, environmental influences on suicide risk, and online self-help forums. She also investigates palliative care and psychooncology, reflecting her roles as a clinical psychologist and psychotherapist in Dresden since 2013. Awards: Lilly Research Prize (2006) Stipend for Postdoctoral Qualification (2010–2012) Bauer advises on suicide prevention training and collaborates with interdisciplinary teams at the Werner-Felber-Institut. Her clinical work integrates evidence-based practices with digital tools, enhancing mental health service delivery in Germany.

• Mood Disorders
• Anxiety Disorders
• Suicide Prevention
• +4 more

Andrea Stevenson Won is a researcher at Cornell University in the Department of Communication , focusing on virtual reality (VR), human-computer interaction, and social dynamics in immersive environments. Her work explores avatar embodiment , nonverbal behavior , and accessibility in VR for users with disabilities. Research Themes : Virtual embodiment and its psychological effects Accessibility solutions for blind and low-vision users in social VR Nonverbal communication analysis in immersive environments Pro-social behavior through VR interventions Collaborative VR systems and AI integration Recent Article Trends : 2024: Investigated avatar behavior transformation in mixed reality ( MRTransformer ), AI-guided accessibility tools, and nonverbal cue adaptations 2023-2022: Focused on educational VR applications, 360° video narratives, and longitudinal team dynamics 2021-2014: Pioneered avatar embodiment studies, anxiety detection via movement tracking, and homuncular flexibility in VR

• Virtual Reality
• Social Interaction
• Human-Computer Interaction
• +4 more

Elisabeth Schilling serves as Associate Professor of Social Sciences at the University of Applied Sciences for Police and Public Administration North Rhine-Westphalia (HSPV NRW), holding a W2 professorship since December 2009. She previously taught at the Cologne department until 2012 and now works at the Bielefeld location. Her academic appointments include habilitation in Sociology at the University of Erfurt (2022) and guest professorship at Georg-August-Universität Göttingen (2015). Schilling's institutional affiliations extend to the Max-Weber-Kolleg at the University of Erfurt and the Institute for Diversity Research at Göttingen. Her education includes a PhD in Sociology from Heinrich-Heine-University Düsseldorf (2005, magna cum laude), with dissertation titled "Die Zukunft der Zeit: Vergleich von Zeitvorstellungen in Russland und Deutschland im Zeichen der Globalisierung." Additional academic training includes specialized sociology studies at RWTH Aachen (2000-2001) and University of California at Davis (2000), where she achieved top 5% standing in her cohort. Schilling's research fundamentally examines how time structures shape social experience across multiple domains. Her work explores temporal dimensions of migration, particularly how Ukrainian refugees construct future perspectives amid trauma. She investigates gendered time inequalities in public administration careers, analyzing how interrupted career paths disproportionately affect women. Her scholarship reveals how bureaucratic systems administer time through scheduling practices that reinforce social inequalities. Schilling develops methodological approaches for studying temporal diversity through qualitative time practice assessments, bridging classical life course theory with biographical subjectivity. Her publication trajectory shows consistent focus on time, migration, and biography since 2005, with recent work increasingly addressing refugee experiences and temporal aspects of public administration. The articles reveal methodological sophistication in qualitative time research, with growing emphasis on practical applications for public sector management. Schilling's work demonstrates strong interdisciplinary connections between sociology, gender studies, and public administration. Her current research portfolio includes multiple funded projects examining time perspectives among Ukrainian refugees (2023-2024), integration of Ukrainian refugees (2022-2023), and time management during remote work periods (2020-2021). These projects reflect her ability to address timely social issues through her temporal lens while maintaining theoretical rigor. Schilling maintains active research collaborations including the Time Perspective Network around Philip Zimbardo and the Max-Weber-Kolleg. Her editorial work includes special issues of BIOS journal and edited volumes with Springer VS. She directs research groups focusing on time structures as inequality-reproducing classification systems, demonstrating sustained scholarly impact in her field.

• Sociology of Time
• Migration Studies
• Gender Studies
• +4 more

Max Pellert is a computational social scientist and cognitive scientist with faculty appointments at multiple institutions. Since 2022, he has served as an Assistant Professor at the Chair for Data Science in the Economic and Social Sciences at the University of Mannheim . He previously held an interim Professor position at the University of Konstanz and an Assistant Researcher role at Sony Computer Science Laboratories Rome. His work bridges computational methods with social science theory. Education M.Sc., University of Vienna (2017) in Middle European interdisciplinary Master's program in Cognitive Science (with distinction) Ph.D., Medical University of Vienna (2022) in Medical Informatics, Biostatistics & Complex Systems Research interests center on Computational Social Science , Digital Traces , and Natural Language Processing for emotion and sentiment analysis. He develops Temporal Adapters for tracking longitudinal emotional patterns and FAULTANA pipeline for polarization studies. His AI Psychometrics framework assesses personality-like traits in large language models. Recent publications include: (1) 2025 ACL work on political bias in LLMs; (2) 2025 ICWSM study of temporal emotion analysis; (3) 2024 Perspectives on Psychological Science paper on LLM psychometrics; (4) 2024 PNAS Nexus polarization analysis; (5) 2023 Emotion cross-cultural study of pandemic emotions. Scientific Awards Habilitation candidate status at University of Mannheim Teaching includes IS 616: Large Scale Data Analysis , IS 809: Advanced Text Mining Lab , and IS 723: Data Science Seminar at master’s and PhD levels. His Barcelona Supercomputing Center role focuses on principal investigator duties for computational social science projects.

• Computational Social Science
• Digital Traces
• Affective Expression
• +9 more

Univ.-Prof. Dr. Michaela Sambanis is a Professor of English Didactics at the Institute of English Philology within the Department of Philosophy and Humanities at Freie Universität Berlin. She has held this position since 2011 and previously served as the managing director of the Institute from Winter semester 2017/2018 to October 2019. Her academic journey includes research work at the Transfer Center for Neuroscience and Learning at the University of Ulm (2008-2011), completion of her habilitation in 2006, and her promotion in 2001. Professor Sambanis's research centers on the innovative intersection of educational neuroscience and language teaching methodology. Her work pioneers the field of Positive Foreign Language Didactics, connecting positive psychology with language education. She investigates embodied cognition approaches, particularly movement-based learning, and explores theater methods and arts integration in language instruction. Her research also addresses teacher well-being and health, multilingualism in educational settings, and the application of neuroscience findings to practical classroom situations. The k2teach project represents her current focus on teaching-learning labs in English teacher education. Her scholarly output demonstrates a consistent trajectory toward integrating neuroscience with language pedagogy, with recent publications increasingly addressing mental health, digital transformation in education, and positive psychology applications. The evolution of her work shows a progression from practical teaching methods to increasingly sophisticated neurodidactic frameworks that bridge scientific evidence with classroom practice. Professor Sambanis serves on multiple scientific advisory boards including the Goethe Institut in Munich, the Transfer Center for Neuroscience and Learning at the University of Ulm, and the Schlözer Program for Teacher Education. She is also the founding chair of the cross-state E&M Berlin-Brandenburg section and a member of the German Society for Foreign Language Research (DGFF). Her editorial work includes the SELT book series on English Language Teaching. Her teaching responsibilities include supervising master's theses in English teaching, and she has developed numerous teaching-learning laboratories that connect theoretical knowledge with practical application in teacher education. Her work demonstrates a strong commitment to evidence-based foreign language didactics that incorporates insights from neuroscience, psychology, and educational research.

• English Language Teaching
• Positive Foreign Language Didactics
• Neurodidactics
• +6 more

Dr. Adrian Meier is a tenure-track Junior Professor for Communication Science at Friedrich-Alexander University Erlangen-Nuremberg (FAU), holding the Chair of Communication Science since February 2024. Previously, he served as Assistant Professor at the University of Amsterdam (2020-2021) and as a Research Associate at Johannes Gutenberg University Mainz (2015-2020), where he completed his doctorate summa cum laude in August 2020, an MA in Communication Science (2013-2015), and a BA in Journalism and Political Science (2010-2013). His research is conducted through the Junior Professorship for Communication Studies, part of the Institute for Labor Market and Socioeconomics (IAS) within FAU's School of Business, Economics and Social Sciences. Meier's research focuses on media usage and effects research, media psychology, and interpersonal communication, with particular emphasis on the consequences of digital communication for well-being, health, and self-regulation at the interface between work and leisure. His work investigates phenomena such as digital stress, procrastination, and digital communication in the home office. Methodologically, he specializes in in-situ surveys, digital behavioral data analysis, and AI-supported literature syntheses, with a strong commitment to theory-driven, media-psychological, and quantitative-empirical approaches. His research employs short-term longitudinal designs including diary studies and experience sampling, systematic literature reviews, and adheres to open science principles with pre-registration. Analysis of Meier's recent publications reveals a consistent focus on digital disconnection and its relationship to well-being, examining how temporary breaks from digital media can improve situational psychological states. His work innovates in measuring digital behavior beyond simple screen time metrics, exploring nuanced aspects of smartphone usage patterns, temporal dimensions in media effects, and the motivational factors behind digital disconnection. He has made significant contributions to understanding the complex relationship between social media use and mental health, particularly in adolescent populations, while challenging simplistic narratives about passive versus active social media use. Dordick Dissertation Award from ICA Communication & Technology Division Dissertation Prize from German Society for Journalism and Communication Studies (DGPuK) Best Paper Award at Annual Conference of the Section for Reception and Effect Research Editorial board member for Media Psychology, Journal of Media Psychology, and Mobile Media & Communication As an active researcher and educator, Meier supervises bachelor's theses and offers a range of courses in communication science. His research has been funded through prestigious grants including an ERC Starting Grant for his project 'Social Well-Being from Hybrid Interactions in Hybrid Work' (HYIHY), which received €1.5 million in funding. His work has established him as a leading voice in understanding the psychological implications of digital communication in contemporary society, particularly at the intersection of work and personal life in the era of hybrid work arrangements.

• Media Usage and Effects Research
• Media Psychology
• Interpersonal Communication
• +7 more