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Eylem TasView profile

Researcher

• Data Literacy
• Data Education
• Socio-Technical Systems
• +7 more

Eylem Tas is a Researcher in the Department of Informatics at the University of Hamburg, affiliated with the Socio-Technical Systems Design (WISTS) research group within the Faculty of Mathematics, Informatics and Natural Sciences. She contributes to advancing data literacy education and interdisciplinary knowledge transfer through innovative teaching and collaboration formats. Her research focuses on data literacy education , co-creative methods , and design thinking processes in the context of data-driven innovation. She is actively involved in building a transfer ecosystem that bridges academia with public, private, civic, and educational partners in Hamburg. Her work emphasizes ethical and responsible use of data through collaboration on data ethics and data protection . The Digital and Data Literacy in Teaching Lab (DDLitLab) is central to her activities, where interdisciplinary projects aim to develop an innovative study ecosystem. This includes creating data-based services, consulting models, and collaborative frameworks that integrate real-world challenges into academic teaching and research. Eylem Tas collaborates extensively with diverse stakeholders across sectors to promote data competence. Her efforts support not only university education but also outreach to schools and other educational institutions, facilitating broader societal engagement with data science. Scientific Awards: No awards listed in the provided text. Advising and Grants: While no formal advisees or grant funding details are mentioned, her role in DDLitLab suggests active participation in collaborative, externally engaged projects likely supported by institutional or third-party funding. She works within a structured research team, contributing to collective outputs and knowledge dissemination. Labs and Teams: Eylem Tas is a key member of the Socio-Technical Systems Design (WISTS) group and contributes to the Digital and Data Literacy in Teaching Lab (DDLitLab) , which functions as an interdisciplinary platform for innovation, teaching, and transfer in data literacy.

• Haptic interactions
• Multitouch and multimedia development
• Knowledge transfer and artificial intelligence
• +7 more

Dr. Uwe Oestermeier serves as a Researcher and Head of the Software Development Group at the Leibniz Institute for Knowledge Media (IWM) in Tübingen, Germany. Leading a specialized team since 2003, he designs and implements experimental software and research prototypes using Python, JavaScript/HTML5, and Swift. His technical leadership spans multiple high-impact projects including the Interactive Ward Round Table for medical contexts and innovative educational tools like LEGO Music. His research focuses on haptic interactions, multimodal interfaces, and the visualization of abstract concepts including causal reasoning, statistical inference, and musical structures. Dr. Oestermeier's work bridges cognitive science theory with practical applications, creating intuitive user interfaces that enhance knowledge transfer and artificial intelligence integration across diverse domains. His publication record demonstrates consistent contributions to human-computer interaction, with recent work examining multiple document comprehension, clinical decision support systems, and tangible interfaces for education. The research trajectory shows evolution from foundational work on causal arguments to contemporary applications of AI in psychological research and medical contexts. As an active participant in multiple IWM research labs including Multimodal Interaction, Realistic Depictions, and Perception and Action, Dr. Oestermeier develops software tools that enable cutting-edge research across cognitive science domains. His technical expertise supports both experimental research and practical applications in medical, educational, and museum settings.

Malte VoglView profile

Research Fellow

• Historical Network Research
• Digital Humanities
• Agent-Based Modeling
• +7 more

Dr. Malte Vogl is a Senior Research Fellow at the Max Planck Institute for Geoanthropology in Jena, Germany. His work bridges the history of science, computational modeling, and digital humanities, focusing on socio-epistemic networks and knowledge evolution. He has previously held research associate positions at the Max Planck Institute for the History of Science in Berlin. PhD in Physics Researcher in ModelSEN (BMBF-funded) Contributor to DARIAH and TOPOI projects Developer of simulation tools like SciCom Research Interests Dr. Vogl investigates knowledge evolution through network analysis and agent-based modeling, particularly in historical contexts. His work explores: Epistemic communities in early modern science Socio-epistemic network frameworks Quantum criticality in many-body systems Temporal network modeling of historical communication Research data infrastructure development Mathematical epistemology of historical knowledge His recent publications focus on simulating historical communication networks and analyzing archival data survival biases. He integrates computational methods with historical scholarship to uncover dynamics of knowledge transformation.

Jürgen RennView profile

Professor

• History of Science
• Knowledge Systems
• Anthropocene
• +6 more

Jürgen Renn is the Founding Director of the Max Planck Institute for the History of Science in Berlin and also serves as Founding Director of the newly established Max Planck Institute of Geoanthropology in Jena since 2022. He holds Honorary Professorships in the History of Science at both Humboldt-Universität zu Berlin and Freie Universität Berlin . Teaching roles at Boston University, ETH Zurich, University of Tel Aviv Visiting positions at CalTech, University of Vienna, Pavia His research focuses on the structural evolution of knowledge systems across historical periods and cultures, with emphasis on globalization, cognitive dynamics, and material contexts. Complementary work includes transversal studies of knowledge dissemination, such as cross-cultural exchanges between Europe, China, and Arabic-Latin traditions. His theoretical framework for knowledge evolution integrates epistemic, social, and material dimensions , exemplified by studies on mechanics from antiquity to the 20th century and the history of modern physics (relativity, quantum theory). Recent publications (2024) address topics like the steerability of scientific institutions and epistemic dynamics in the Max Planck Society's history, reflecting his ongoing interest in institutional science-society interactions. His The Evolution of Knowledge (2020) provides a macro-historical analysis of scientific development, linking it to challenges in the Anthropocene era. Scientific Honors Abraham Pais Prize (2023) Francis Bacon Award (2014) Max Planck Communitas Award (2014) Premio Internazionale Marco & Alberto Ippolito (2014) Premio Anassilaos International (2011) Renn pioneered the Digital Humanities movement and co-initiated the Berlin Declaration (2003) for open knowledge. He has curated major exhibitions like Leonardo’s Intellectual Cosmos and Albert Einstein – Chief Engineer of the Universe , demonstrating his commitment to public science communication.

• Data Science
• Machine Learning
• Deep Learning
• +5 more

Prof. Dr. Jana Schor is a leading academic in Data Science at the University of Leipzig , holding the Professorship for Bio-Data Science under its Faculty of Mathematics and Computer Science . She is also the Head of the Bio-Data Science Group at the Helmholtz Centre for Environmental Research (UFZ) , where her work bridges Computational Biology , Environmental Health , and Toxicology . Focus areas: Statistical Learning , Graph Neural Networks , Explainable AI , and Environmental Data Infrastructure Academic leadership: Teaching courses in Data Science , R Programming , and Reproducible Research at the University of Leipzig Her research emphasizes AI-driven hypothesis generation , domain-specific knowledge graphs , and uncertainty quantification in predictive models . Recent projects involve toxicity prediction across chemical spaces ( deepFPlearn+ ), chemical grouping frameworks , and PFAS exposure analysis using zebrafish models . She actively contributes to open science through tools like CleanGeoStreamR and Neo4j datasets .

• Automated Deduction
• Program Synthesis
• Logic Programming
• +4 more

Richard J. Waldinger is a distinguished researcher at SRI International in Menlo Park, California, with a career spanning over five decades in the fields of automated deduction, program synthesis, and artificial intelligence. His work has significantly influenced the theoretical foundations of computer programming and automated reasoning. Waldinger's research focuses on deductive question answering, program synthesis, and applying logical methods to artificial intelligence problems. His work bridges theoretical computer science with practical applications in knowledge representation, natural language processing, and semantic web technologies. He has been particularly influential in developing methods for translating natural language queries into formal logical representations that can be processed by automated reasoning systems. His recent publications demonstrate a continued focus on natural language access to structured data, health informatics applications, and semantic web technologies. Waldinger's work has evolved from foundational program synthesis research to contemporary applications in question answering systems and semantic technologies. Herbrand Award (2016) - Recognizing his significant contributions to automated deduction Waldinger has maintained a prolific research career through extensive collaborations with leading researchers in artificial intelligence and automated reasoning. His work with Zohar Manna represents one of the most influential collaborations in the field of program synthesis. He has also worked with researchers on projects involving health information systems, semantic web technologies, and natural language interfaces to databases. His research has been supported by various funding sources including DARPA, as evidenced by his work on DAML (DARPA Agent Markup Language). Waldinger has been associated with SRI International's Artificial Intelligence Center, where he has contributed to numerous projects involving automated reasoning, knowledge representation, and natural language processing. His work has helped establish formal methods for program synthesis and deductive question answering that continue to influence contemporary research in artificial intelligence.

• Social Inequality
• Educational Transitions
• Postdoctoral Studies
• +5 more

Désirée Wägerle is a Lecturer and Academic Staff Member at the Eberhard Karls University of Tübingen , affiliated with the Department of Social Pedagogy under the Faculty of Economics and Social Sciences . She also serves as a Research Associate at the Methods Center since 2022 and is an Associate Member of the DFG Research Training Group on Life Course Transitions. Her teaching spans seminars at the Baden-Württemberg Cooperative State University. Education : MA in Research and Development in Social Pedagogy (Tübingen, 2022), BA in Social Work (Stuttgart, 2020), ERASMUS stay in Gothenburg (2019). Research Interests center on social inequality across life course transitions, including postdoctoral disparities , early childhood inequities , and school-to-work transitions . She explores poverty and basic security , theoretical frameworks in social work , and methodological innovations in mixed-methods research. Her work intersects with projects like the DFG’s DOING TRANSITIONS initiative. Recent Publications and Lectures focus on AI in educational research , systematic reviews of postdoc inequality , and critical analyses of social classification practices . Notably, she has contributed to discussions on LLM applications in mixed-methods studies and pedagogical responses to poly-crises through ethnographic methods. Professional Affiliations include membership in the German Society for Social Work (DGSA) and the German Educational Research Association (DGfE) , with ties to empirical education research and early childhood pedagogy sections.

• Geospatial Artificial Intelligence
• Explainable Artificial Intelligence
• Causal Inference
• +4 more

Chuan Chen is a researcher at the Technical University of Munich , affiliated with the Chair of Cartography and Visual Analytics . His work focuses on the intersection of Geospatial Artificial Intelligence (GeoAI) , Explainable AI (XAI) , Causal Inference , and Visual Analytics , aiming to improve the interpretability and policy relevance of spatial modeling. Research Interests include responsible AI applications in urban contexts, population distribution modeling, and frameworks for transparent decision-making using geospatial analysis. His studies emphasize ethical AI, causal mechanisms, and spatial representation. Recent publications highlight his contributions to geospatial modeling, AI ethics narratives, and urban sustainability. He applies explainable AI to frozen ground analysis, population distribution predictability, and AI risk decoding from news data. Teaching includes courses like Image Analysis for Mapping (M.Sc., since 2022) and Mapping for a Sustainable World (M.Sc., 2023 Summer). He supervises master theses and seminars on AI ethics and global-scale visual analysis.

• Computational Linguistics
• Artificial Intelligence
• Text Generation
• +6 more

Sujian Li is an active researcher in computational linguistics and natural language processing, with recent contributions to advanced large language model applications. Their work spans multiple critical areas including hierarchical memory frameworks for Wikipedia generation, self-refining entity grounding systems, and long-context embedding model extensions. Key Research Areas: Continual learning in NLP, multimodal reasoning, cross-lingual knowledge transfer, and factual consistency evaluation. Notable Methods: MOG framework for structured generation, ISR self-refinement scheme, LongAttn token-level analysis, and IPR step-level process refinement. Article Trends show a focus on improving LLM robustness through adversarial training, enhancing coherence via discourse-level graph modeling, and developing benchmarks like WIKIGENBENCH for real-world evaluation. Their research also addresses knowledge integration in biomedical multilingual models (KBioXLM) and mathematical parsing via tree-structured decoding. Collaborations include leading researchers like Yifan Song, Dawei Zhu, and Wenhao Wu across institutions and projects.

• Data Management
• Computational Logic
• Database Theory
• +10 more

Michael Benedikt is Professor of Computer Science at the Department of Computer Science, University of Oxford, and a Fellow of University College, Oxford. His research lies at the intersection of computational logic, database theory, and theoretical computer science, with a focus on query answering, logic-based data management, and formal methods for data integration. Institution: University of Oxford, Department of Computer Science Position: Professor of Computer Science Email: michael.benedikt@cs.ox.ac.uk Office: 355 Wolfson Building, Parks Road, Oxford OX1 3QD, UK His primary research interests include data management, computational logic, model theory, query reformulation, integrity constraints, existential rules, and fixpoint logics. He investigates theoretical foundations of querying Web and social network data, ontology-based data integration, and finite model reasoning. His recent publications span top venues such as VLDB, PODS, LICS, ICALP, and IJCAI, covering topics like scalable querying of nested data, interpolation in fixpoint logics, finite open-world query answering, and rewriting recursive queries. A unifying theme across his work is the application of logical methods to ensure correctness, decidability, and efficiency in data access and transformation. Best Paper Award, ICALP 2017 (Track B) EPSRC Established Career Fellowship (2015–2020) He has supervised numerous PhD students and postdoctoral researchers, including Jaclyn Smith, Djordje Zivanovic, Antonia Kormpa, and Benjamin Spencer. His research group has been supported by grants from EPSRC and Microsoft Research. He actively contributes to the academic community through service on program committees (e.g., LICS, PODS, IJCAI, VLDB) and editorial boards (e.g., Journal of Computer and System Sciences). He co-authored a book on interpolation-based query reformulation published by Morgan Claypool.

María José Domínguez VázquezView profile

Professor

• Lexicography
• Valence Grammar
• Contrastive Linguistics
• +7 more

María José Domínguez Vázquez is a Professor of German Studies at the University of Santiago de Compostela, Spain. She is a fellow of the Alexander von Humboldt Foundation and leads innovative research in digital lexicography, valence grammar, and multilingual language processing. She is the Spanish coordinator and chair of the governing board of the Erasmus Mundus Master’s program in Lexicography (EMLex), reflecting her prominent role in international academic collaboration. Her research centers on the integration of lexicography with natural language processing and generation, focusing on the development of dynamic, computer-assisted tools for multilingual syntactic-semantic pattern generation. Key projects include the design of three plurilingual language generators— Xera , Combinatoria , and CombiContext —which model noun phrase structures and embed them in full sentences across German, French, and Spanish. These tools exemplify her work in data integration, resource interoperability, and automated lexicographic content creation. The recent publications listed demonstrate a strong trend toward digital, corpus-driven, and computationally enhanced lexicography, with emphasis on multilingualism, semantic representation, and practical applications in language technology. Her work bridges theoretical linguistics with applied computational methods. Fellow of the Alexander von Humboldt Foundation She leads major research projects in multilingual lexicography and automatic language generation and plays a leadership role in the EMLex program, overseeing academic training and international coordination. While specific grant details are not mentioned, her Humboldt fellowship and publication record suggest sustained research funding and institutional support. She has contributed to major edited volumes and peer-reviewed journals in applied and computational linguistics. She is associated with the research group behind the PORTLEX lexicographic portal (http://portlex.usc.gal/) and leads work on integrated digital lexicographic systems. Her team develops tools that combine corpus linguistics, word embeddings, and automatic dictionary generation, fostering innovation in how linguistic knowledge is structured and accessed.

Robin SchmahlView profile

Research Fellow

• Middle Eastern Studies
• Arab World Politics
• Democracy in the Arab and Muslim World
• +7 more

Robin Schmahl is a Research Fellow at the Leibniz Center for Modern Oriental Studies (ZMO) in Berlin, where he works on the "Historicity of Democracy in the Arab and Muslim World" (HISDEMAB) project since 2020. His research focuses on the political history of the Arab world, particularly examining deliberative systems and proto-democratic structures during historical periods of European imperialism in the Middle East. His educational background includes: PhD Candidate at Freie Universität Berlin (since 2020) M.A. in MENA Studies with a focus on International Relations, Arabic and Islamic Studies at Ludwig-Maximilians-Universität, Munich (2017-2020) Supplementary B.A. Program in Political Science and History with a Focus on International Relations and Israel Studies at Ludwig-Maximilians-Universität, Munich (2018-2020) B.A. in MENA Studies and Philosophy with a Focus on Political Philosophy in the Arab and Muslim World at Ludwig-Maximilians-Universität, Munich (2013-2017) Intensive Language Courses in Arabic (MSA, ECA) at Arabeya Arabic Language Center and Ahlan World, Cairo (2015, 2016, 2018) Robin Schmahl's research interests span multiple interconnected fields within Middle Eastern studies and political science. His primary focus is on the historical development of democratic institutions and political thought in the Arab and Muslim world, particularly examining how European imperialism shaped political systems in the region. His work critically engages with concepts of legitimacy, human rights frameworks in Islamic contexts, and the complex relationship between religious law and modern governance. Schmahl also explores contemporary political developments in Israel and Palestine, analyzing constitutional transformations and historical narratives. His linguistic expertise in Arabic, German, English, French, and several other languages enables him to work directly with primary sources across multiple historical periods and cultural contexts. Schmahl's recent publications reveal a consistent scholarly trajectory examining the intersection of political theory, historical analysis, and contemporary Middle Eastern politics. His work frequently addresses questions of legitimacy, human rights frameworks within Islamic contexts, and the historical roots of modern political institutions in the region. A notable thematic thread throughout his publications is the critical examination of Western narratives about democracy and modernity in the Middle East, offering alternative historical perspectives that challenge Eurocentric interpretations. His research methodology combines textual analysis of primary historical documents with contemporary political theory, creating a bridge between historical scholarship and current political debates. Robin Schmahl has presented his research at various academic venues, including a presentation on "Communities of Knowledge: Project Demo" at the Virtual Forum: Jews, Christians, and Muslims as Colleagues and Collaborators in the Abbasid Near East at LMU Munich (2020), and a talk on "The Cairo Declaration of Human Rights in Islam" at the Workshop: Communities, Clashes and Cohabitations at LMU Munich (2019). He has also contributed to the "The Greater European Talks" podcast series, demonstrating his commitment to public scholarship and engagement beyond traditional academic circles. Robin Schmahl is actively involved in several academic and professional organizations: Young Forum of the Foreign Affairs Association, Germany (Boardmember since 2019, Member since 2017) Atlantic Treaty Association [ATA] and Youth Atlantic Treaty Association [YATA] (Member since 2019) Deutsche Arbeitsgemeinschaft Vorderer Orient [DAVO] (Member since 2019) Institute for a Greater Europe (Contributor since 2019) German Free Democratic Party [FDP] and Young Liberals [JuLis] (Member since 2019) Model United Nations Association, Munich [MUNAM] (Member and Delegate since 2017) Munich Debating Society (Member since 2016) Society of Friends of Islamic Art and Culture, Munich (Member since 2015) His current doctoral research project "A Tale of Two Narratives: Deliberative Systems in Egypt during the French Military Campaign of 1798-1801 and the Inception of the Modern Middle East" represents a significant contribution to understanding the historical roots of political institutions in the region, challenging dominant narratives about the introduction of democratic structures through European colonialism.

Laura Katharina MückeView profile

Researcher

• Phenomenology
• Media Effects
• Feminist Critique
• +4 more

Laura Katharina Mücke is a full-time research associate in the 'Everyday Media and Digital Cultures' research group at the Institute for Film, Theatre, Media and Cultural Studies, Johannes Gutenberg University Mainz. She is concurrently pursuing a doctoral project jointly supervised by the Universities of Vienna and Groningen, examining media immersion through feminist and discourse-analytical frameworks. Previously, she served as a University Assistant at the University of Vienna (2019-2022) and Research Associate at Mainz (2016-2019). Her research explores: Theories of aesthetic experience, media effects, and reception aesthetics Critical phenomenology and metaphenomenology Social media platform politics (especially TikTok), everyday digital practices, and Eastern European video activism Feminist critiques of representation, situated knowledge, and gaze theories Mücke's publications analyze immersion as a politically charged concept, tracing its gendered, classist, and racialized discourses across historical and contemporary media. Recent work investigates videoconferencing agency, TikTok's role in protest movements, and algorithmic discrimination. She co-founded the interdisciplinary research group 'ID*A' and serves on the editorial board of Montage AV .

• Nursing and Health Management
• Care Support Systems
• Legal Aspects of Care Provision
• +5 more

Prof. Dr. Michaela Zeiss is Vice Dean of Department 4: Social Work & Health at Frankfurt University of Applied Sciences, where she holds a Professorship for Nursing and Health Management and leads the Master's Program in Inclusive Design (M.Sc.). Her academic roles include teaching responsibilities in Nursing and Health Management (MA) and Case Management for Barrier-Free Living (M.Sc.). Her research focuses on: Care support systems and counseling structures in Hessen Legal and financial frameworks for care provision security Elderly care models and home-based nursing innovations Implementation challenges in healthcare policy reforms Analysis of her 15 most recent publications (2004–2011) reveals concentrated expertise in healthcare system reforms, with thematic emphases on: integrated care coordination, policy implementation barriers, elderly support infrastructure, comparative European models, nursing management frameworks, and health insurance systems. Her work consistently bridges theoretical policy design and practical service delivery challenges. She directs significant research initiatives including: MainCareer - Open University project (2011–2014) Development of Hessen's care support centers (2009–2010) Cross-border collaboration with Italy's Emilia-Romagna region EU-wide care model evaluations through the European Academy of Work As Vice Dean, she oversees academic operations and maintains active memberships in the German Society for Gerontology, editorial boards of nursing journals, and EU health policy committees. Her professional network spans academia, government advisory bodies, and international healthcare institutions.

Fuyu YangView profile

Researcher

• Econometrics
• Bayesian Inference
• Macroeconomic Forecasting
• +6 more

Fuyu Yang is an Early Stage Researcher at Humboldt-Universität zu Berlin, affiliated with the Wirtschaftswissenschaftliche Fakultät (Faculty of Humanities and Social Sciences) under the COMISEF project. She holds a PhD in Economics from the University of Leicester, UK, awarded in January 2009. Her academic work bridges econometric modeling and macroeconomic forecasting, with a strong emphasis on Bayesian methods and high-dimensional latent structures. Research Interests: Her research focuses on advanced econometric techniques, particularly Bayesian inference in models with high-dimensional latent variables and model selection using information flow. She actively contributes to the fields of nowcasting and forecasting macroeconomic variables, leveraging mixed-frequency data and the impact of economic announcements. Her interdisciplinary approach combines statistical rigor with practical macroeconomic applications. Publication Trends: Her recent work demonstrates a consistent focus on Bayesian econometrics and dynamic modeling. The articles highlight her expertise in stochastic volatility, unit root models, and yield curve modeling, with applications in forecasting and model evaluation. She frequently collaborates with leading researchers in the field, indicating strong integration into the international econometrics community. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: There is no information available about students she may have advised or grants she has received. However, her role as a Graduate Teaching Assistant during her postgraduate studies at Leicester indicates prior experience in academic instruction and mentorship. Labs and Teams: Fuyu Yang is part of the COMISEF (Computational and Methodological Statistics for Economics and Finance) project at Humboldt-Universität zu Berlin, which fosters training, knowledge transfer, and collaborative research in computational statistics and econometrics. This affiliation places her within a dynamic, interdisciplinary research network focused on methodological innovation in economics and finance.