جست‌وجوی استاد و پژوهشگر

• Easy Language Research
• Plain Language Translation
• Accessible Communication
• +۶ مورد دیگر

Dr. Silvana Deilen is a Researcher at the Institute for Translation Studies & Technical Communication within the Faculty of Language and Information Sciences at the University of Hildesheim. She joined the university in 2023 after working as a Research Associate at Johannes Gutenberg University Mainz from 2018-2024. Her primary research focus centers on accessible communication, particularly in the areas of Easy Language and Plain Language translation, with special emphasis on cognitive aspects of translation processes and AI-assisted translation technologies. Dr. Deilen earned her B.A. in Multilingual Communication from Cologne University of Applied Sciences (2012-2015), followed by an M.A. in Specialized Translation from the same institution (2015-2018). She completed her doctoral studies (Dr. phil.) in Translation Studies at Johannes Gutenberg University Mainz (2018-2021) with summa cum laude distinction, supervised by Prof. Dr. Silvia Hansen-Schirra and Prof. Dr. Arne Nagels. Her research interests span multiple interconnected domains within translation and communication accessibility. A significant portion of her work examines the cognitive processing of compound words in Easy Language, utilizing eye-tracking methodologies to investigate how visual segmentation affects reading behavior and cognitive load. She has pioneered research on AI-assisted translation for health communication, particularly focusing on how large language models can support the creation of accessible health information. Her work bridges theoretical translation studies with practical applications in healthcare, government communication, and digital accessibility. Dr. Deilen's publication record reveals a clear trajectory toward increasingly sophisticated integration of technology and accessibility. Her recent work shows strong emphasis on evaluating AI systems like ChatGPT for translation tasks, developing editorial workflows for AI-assisted translation of health information, and investigating cognitive aspects of compound translation. The interdisciplinary nature of her research connects linguistics, cognitive science, health communication, and artificial intelligence, demonstrating how translation studies can address real-world accessibility challenges. 2014 & 2016: PROMOS Scholarships 2018-2021: Doctoral Scholarship from Gutenberg Young Researchers College 2020: Best Student Paper Award at Swiss Conference on Barrier-free Communication 2023: Award for Outstanding Dissertation from Johannes Gutenberg University Mainz 2023: Multiple research grants from University of Hildesheim, Wort & Bild Verlag, and Niedersachsen Zukunftsdiskurse 2025: DAAD Postdoctoral Research Grant Dr. Deilen actively collaborates on significant research projects including the KI-GesKom project (AI-Supported Health Communication in Plain Language), which receives funding from the state of Niedersachsen. She works closely with Prof. Dr. Ekaterina Lapshinova-Koltunski, Prof. Dr. Christiane Maaß, and Sergio Hernández Garrido as part of the Research Center for Easy Language. Her work with the Apotheken Umschau demonstrates practical application of research, translating health information into accessible formats for people with communication limitations. Dr. Deilen also contributes to the academic community as a program chair and scientific committee member for international conferences including UCCTS 2025 and Translation in Transition 2024.

• Computer Science
• Data Visualization
• Scientific Visualization
• +۳ مورد دیگر

Robert S. Laramee is a Professor at the University of Nottingham (previously at Swansea University), specializing in visualization research. His work focuses on data visualization, scientific visualization, and computational fluid dynamics. He has authored over 170 publications in top journals like IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, and IEEE Computer Graphics and Applications. Research Interests: His research spans information visualization, flow visualization, visual literacy, and educational aspects of visualization. He emphasizes practical applications in fields like healthcare, digital humanities, and computational science. Recent Trends: Recent work includes studies on treemap literacy, educational frameworks for visualization, and interactive systems for clinical data. He has also contributed to visualization resources and surveys, aiming to bridge academic and industry needs. Grants & Collaborations: Collaborations include projects on visualization for smart cities, protein-lipid interactions, and quantum chromodynamics data analysis. No specific grant details are provided in the text. Labs & Teams: Affiliated with visualization research groups at Nottingham and Swansea, though specific lab names are not mentioned.

Leif Kobbeltمشاهده پروفایل

استاد

• Computer Graphics
• Geometry Processing
• Interactive Visualization
• +۳ مورد دیگر

Leif Kobbelt serves as a University Professor at RWTH Aachen University, leading the Computer Graphics Group within the Department of Computer Science (Informatik 8). His research focuses on advancing geometry processing, interactive visualization, and computer graphics through innovative algorithmic solutions and interdisciplinary collaborations. Professor Kobbelt's research program centers on geometry acquisition and processing, with significant contributions to mesh generation, surface reconstruction, and neural rendering techniques. His work bridges theoretical geometry with practical applications in computer vision, photo-realistic image synthesis, and multimedia data transmission, often involving collaborations with industry partners and international research teams funded by DFG and EU sources. Recent publications (2023-2025) reveal a strategic integration of deep learning with traditional geometry processing, particularly in Gaussian splatting for real-time rendering, NeRF-based 4D content generation, and robust mesh Boolean operations. His group maintains leadership in quad mesh optimization and surface mapping while expanding into immersive visualization techniques for complex data analysis. The group has earned recognition through prestigious awards: Günter Enderle Best Paper Award at Eurographics 2023 Best Paper Award (1st place) at Symposium on Geometry Processing 2022 Honorable Mention for Best Paper at ACM Symposium on Virtual Reality Software and Technology Funding from Deutsche Forschungsgemeinschaft and European Union programs supports the group's research infrastructure and international collaborations. The team actively supervises graduate theses while developing open-source software tools that translate theoretical advances into practical industry applications, particularly in digital fabrication and immersive visualization systems. The Computer Graphics Group operates as a central hub for visual computing research at RWTH Aachen, maintaining strong ties with both academic institutions and technology companies. Their recent work on virtual reality educational tools and high-fidelity 3D reconstruction systems demonstrates commitment to knowledge transfer and real-world impact beyond traditional publication venues.

Kanwarpal Singhمشاهده پروفایل

پژوهشگر

• Biomedical Optics
• Optical Coherence Tomography
• Endoscopic Imaging
• +۳ مورد دیگر

Kanwarpal Singh serves as Group Leader and Head of the Microendoscopy Research Group at the Max Planck Institute for the Science of Light (MPL) in Erlangen, Germany. His research focuses on developing and applying advanced optical imaging techniques, particularly Optical Coherence Tomography (OCT) and related technologies, for biomedical applications. As part of the Max Planck Society, one of Germany's premier research organizations, his work bridges fundamental optical physics with clinical medicine. Dr. Singh's research interests center on biomedical optics and imaging, with particular expertise in endoscopic OCT, optical elastography, and polarization-sensitive imaging techniques. His work spans from developing novel optical systems and probes to applying these technologies in clinical settings for disease diagnosis and monitoring. Key areas include gastrointestinal imaging, dermatological applications, and neurological tissue characterization. His research demonstrates a consistent trajectory from fundamental optical engineering to translational medical applications, with particular emphasis on improving imaging depth, resolution, speed, and clinical usability. Analysis of Dr. Singh's recent publications (2021-2025) reveals a strong focus on overcoming technical limitations in biomedical imaging. His work addresses critical challenges including motion artifacts in in vivo measurements, depth of focus limitations, polarization sensitivity issues, and the development of portable, clinically practical systems. The research shows increasing clinical relevance, with applications spanning inflammatory bowel disease monitoring, esophageal tissue analysis, skin biomechanics, and central nervous system regeneration studies. Dr. Singh leads the Microendoscopy Research Group within the MPL's research structure. While specific lab details aren't provided in the text, his numerous publications describing novel probe designs and imaging systems suggest an active laboratory focused on optical system development, with strong connections to clinical collaborators for in vivo and patient studies. His research appears to involve both theoretical modeling and practical implementation of optical technologies.

Manuel Penschuckمشاهده پروفایل

پژوهشگر ارشد

• Algorithm Engineering
• Random Graphs
• Parallel and Distributed Computing
• +۳ مورد دیگر

Manuel Penschuck is a Research Fellow at the Institute of Computer Science , Goethe University Frankfurt, Germany. His research focuses on algorithm engineering, graph theory, and scalable network generation, with emphasis on parallel computing, I/O-efficient algorithms, and random graph models. He actively contributes to conferences like ESA, SEA, and IPDPS, and has co-authored publications in top venues including LIPIcs , IEEE Transactions , and SIAM . His work includes engineering algorithms for non-linear preferential attachment , parallel shuffling , and hyperbolic graph generation . He has co-organized program committees for ESA, EuroPar, and SEA, and his collaborations span institutions such as MPI-INF, TU Darmstadt, and Australian National University. Recent publications highlight advances in uniform graph sampling, geometric network models, and distributed systems. His research integrates theoretical rigor with practical implementation, addressing challenges in big data and high-performance computing. He is a key contributor to the Networkit toolkit for large-scale network analysis.

Theresa Zügerمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Public Interest AI
• Sustainability
• +۵ مورد دیگر

Dr. Theresa Züger is an interdisciplinary researcher leading the AI & Society Lab at the Alexander von Humboldt Institute for Internet and Society (HIIG). She investigates how AI systems can be designed to serve the common good, focusing on initiatives that promote sustainability, strengthen social inclusion, and enable technology reuse through open systems. Her work addresses societal challenges associated with artificial intelligence at political, social, and cultural levels, contributing to accurate assessment of AI's societal implications. Züger received her Ph.D. in Media Studies from Humboldt University in Berlin in 2017 with her dissertation 'Reload Disobedience,' focusing on digital forms of civil disobedience. Previously, she earned an M.A. in Theatre, Film and Television Studies as well as German and Philosophy from the University of Cologne. She also headed the office responsible for the German government's Third Engagement Report on behalf of the Federal Ministry for Family Affairs, Senior Citizens, Women and Youth (BMFSFJ). Her research centers on Public Interest AI, examining how AI development and deployment can benefit society rather than primarily maximizing profit. Current projects include 'Impact AI' (funded by Volkswagen Foundation), which develops auditing methods to assess AI projects' impact on public interest and sustainability, and 'Human in the Loop,' investigating how automated decision-making processes should be designed for successful human-machine interaction. She previously led the 'Public Interest AI' project, developing a theoretically grounded understanding of public interest AI and creating prototypes like a web accessibility tool and fact-checking application. Analysis of her recent publications reveals a consistent focus on bridging AI technology with societal values. Her work spans technical aspects of AI implementation, ethical considerations, and practical applications that serve public interests. Key trends include human-AI collaboration frameworks, accessibility enhancements, critical examination of AI hype, and theoretical foundations for public interest-oriented AI development. Züger serves as Vice-Chair of the UNESCO Commission on Communication and Information and participates in several juries including the Deep Tech Award, Digital Places – Land of Ideas, and the Civic Innovation Fund. She is also a regular event moderator for organizations like the Berlin-Brandenburg Media Authority, re:publica, and transmediale. As project leader of Impact AI and head of the AI & Society Lab, Züger directs significant research initiatives with funding from organizations like the Volkswagen Foundation. Her work involves extensive collaboration with academic and practical partners across Europe and globally, particularly through projects addressing women in tech and international AI governance. The AI & Society Lab functions as an interdisciplinary interface for new research approaches and knowledge transfer in AI, promoting inclusive, human rights-friendly, and sustainable AI strategies in Europe.

Maria Sitteمشاهده پروفایل

پژوهشگر

• Art History
• Visual Culture
• Contemporary Art
• +۷ مورد دیگر

Maria Sitte is an art historian and curator currently working as a research assistant at the Offenbach University of Art and Design (HfG Offenbach), where she is pursuing her doctorate on investigative and forensic strategies in contemporary art, with a focus on Forensic Architecture. She is affiliated with the School of Art and Department of Art, contributing to academic and curatorial discourses at the intersection of art, politics, and visual epistemology. Education: Master's degree (Magister) in Art History, Psychology, and History from the University of Trier Maria Sitte's research centers on the visual and rhetorical strategies employed in contemporary artworks that investigate political murders, human rights violations, and socio-political injustices. Drawing from image studies, reception aesthetics, and forensic visualization techniques, her work critically examines how clarity, persuasion, and counter-narratives are constructed through aesthetic means. She explores the ethical and epistemological tensions in the 'forensic turn' in art, especially regarding the risks of manipulation and simplification in visual evidence. Her curatorial practice complements her academic research, with exhibitions such as 'From Today's Perspective. Discourses on the Future' (2021), 'The and' (2020), and 'Talk to Me' (2018/19) reflecting thematic concerns with media, technology, and future imaginaries. Previously, she served as a curatorial assistant at Schirn Kunsthalle Frankfurt, co-curating major exhibitions on socio-political themes. There are no scientific awards mentioned in the provided texts. Advising and Grants: Maria Sitte is supervised by Prof. Dr. Christian Janecke (HfG Offenbach) and Prof. Dr. Ulrike Gehring (University of Trier) for her doctoral research. While no formal advisees or grant funding are listed, her position as a research assistant since 2018 suggests institutional academic support and engagement in research activities. Labs and Research Teams: Though no formal lab or research team is explicitly named, her doctoral project is situated within the academic environment of HfG Offenbach’s Art Department, engaging with interdisciplinary methodologies that include forensic analysis, media studies, and artistic research.

Kiril Gashteovskiمشاهده پروفایل

پژوهشگر

• Open Information Extraction
• Natural Language Processing
• Data Mining
• +۳ مورد دیگر

Kiril Gashteovski is a PhD candidate at the Chair of Practical Computer Science I: Data Analytics within the School of Business Informatics and Mathematics at the University of Mannheim. He is supervised by Prof. Dr. Rainer Gemulla and affiliated with the Data and Web Science Group. His primary research focuses on open information extraction, natural language processing, and machine learning applications. He concurrently holds a position as Research Scientist at NEC Laboratories Europe GmbH in Heidelberg, Germany. Education: PhD candidate (University of Mannheim, ongoing), prior academic background includes studies and research roles at institutions in Bulgaria, France, and North Macedonia. Research interests emphasize developing efficient open information extraction systems, knowledge base construction, and text analytics applications. His work bridges theoretical advancements with practical implementations in areas like entity linking and corpus development. Publications span topics such as OPIEC corpus development, citation-centered extraction, and toolkit creation for entity aspect linking. He actively presents at venues like AKBC and EMNLP. Advising and supervision include leading team projects like 'Complaint Handling via Text Analytics for Roche' and 'Data analytics on a ticketing system' with Abbvie. He also teaches courses in data mining and machine learning. Labs/Teams: Core member of the Data and Web Science Group at University of Mannheim, collaborating with industry partners like NEC Labs Europe.

Nils Feldhusمشاهده پروفایل

پژوهشگر

• Interpretability of NLP models
• Natural language explanations
• Text simplification
• +۳ مورد دیگر

Nils Feldhus is a researcher at TU Berlin, affiliated with the XplaiNLP group and the German Research Center for Artificial Intelligence (DFKI). His roles include senior researcher in the IlluminateCardio project and visiting scientist at DFKI. He holds a bachelor's from Heidelberg University (2016) and a master's in Cognitive Systems from the University of Potsdam (2020). Research focuses on Explainability of NLP models Generation of natural language justifications Trustworthy AI applications in healthcare Dialogue systems and user interfaces Current projects include IlluminateCardio (2025–2027) and VERANDA (2024–2026). He teaches courses on LLM explainability, NLP4Health, and model evaluation at TU Berlin. No scientific awards are explicitly mentioned. Supervises theses in NLP and AI ethics, with office hours Wednesdays 11:00–12:00 at MAR @ TU Berlin (Room 2.152).

• Accessible Communication
• Easy Language
• Simple Language
• +۷ مورد دیگر

Prof. Dr. Christiane Maaß is a Professor of Media Linguistics at the University of Hildesheim, where she has been a faculty member since 2011. She is the founding director of the Research Center for Easy Language (established in 2014) and leads the Master’s program in Accessible Communication since 2018. She is affiliated with the Institute for Translation Studies & Specialized Communication within the Department of Linguistics and Information Sciences. Her leadership extends to national and institutional roles, including serving as a federal expert on digital accessibility and leading the Accessible Health Communication division of the German Health Literacy Network. University: University of Hildesheim School: Department of Linguistics and Information Sciences Department: Institute for Translation Studies & Specialized Communication Academic Rank: Professor Email: maassc@uni-hildesheim.de Her research focuses on accessible communication, particularly Easy and Simple Language, with applications in media, healthcare, public administration, and digital services. She investigates how linguistic simplification, multimodal formats, and translation practices can enhance understanding for people with cognitive, sensory, or linguistic challenges. Her work combines theoretical linguistics with practical translation and policy implementation. The recent publications reflect a strong trend toward health communication, AI-assisted translation, and digital accessibility. Projects like KI-GesKom explore the use of artificial intelligence to generate medically accurate texts in Easy Language, ensuring both clarity and scientific validity. Other works address subtitling, inclusive theater, and public service communication, demonstrating a consistent commitment to social inclusion through language. Prof. Maaß actively supervises doctoral research, including a group on Accessible Health Communication funded by the Robert Bosch Foundation. She has led numerous externally funded projects, including EU-supported initiatives like EASIT. Her academic service includes roles on the university Senate, examination boards, ethics committees, and quality commissions. Co-editor, Handbook of Accessible Communication (2019, 2024) Co-editor, book series "Easy – Plain – Accessible" (Frank & Timme) Federal government expert on digital accessibility Leader, Research Center for Easy Language Principal investigator, multiple third-party funded research projects She mentors students and early-career researchers in translation, accessibility, and health communication. Her lab, the Research Center for Easy Language, conducts practice-oriented research in collaboration with public institutions, media organizations, and healthcare providers. Current initiatives include developing AI tools for accessible health texts and improving digital government services. Future work is expected to expand into multimodal communication, cross-linguistic accessibility, and international policy frameworks.

René Porschenمشاهده پروفایل

مدرس

• Paleopoetics
• Prehistoric Fiction
• Literary Figuration of Extinct Species
• +۱۳ مورد دیگر

René Porschen is a doctoral candidate and lecturer in the Department of Literary Studies at the Faculty of Arts, University of Erfurt. He is affiliated with the Chair of Modern English Literature and teaches courses on accessible language, stupidity as a literary motif, and speculative fiction. His academic work bridges literary studies, ecocriticism, and speculative thought. Research Interests: His research focuses on paleopoetics—the literary and cultural representation of dinosaurs and prehistoric life—and its intersections with deep time, anthropocentrism, and nonhuman agency. He explores speculative fiction, cosmic horror, and weird fiction, particularly through the lens of H.P. Lovecraft and Arno Schmidt. His work also investigates accessible language (e.g., easy language) as a poetic and political tool, and the utopian potential within dystopian narratives. The most recent publications and lectures reflect a strong engagement with speculative materialism, stupidity as an epistemological stance, and interdisciplinary reading methods. His articles and creative works span literary criticism, cultural journalism, and prose fiction, often centered on the boundaries of knowledge, language, and perception. Scientific Engagement: Member, Junior Research Group "Texts. Signs. Media," University of Erfurt Member, Erfurt Network for New Materialism (ENNM) Member, Society of Arno Schmidt Readers e.V. Member, German Lovecraft Society Member, Theater im Palais e.V. and Friends of the Blue Stage e.V. Teaching and Advising: René Porschen has co-taught seminars on accessible literature and the motif of stupidity. While no formal students are listed, his role as a lecturer and doctoral researcher suggests mentorship within graduate and research groups. He has contributed to interdisciplinary initiatives focused on reading strategies and accessible communication in literature. Labs and Research Groups: He is actively involved in the Junior Research Group "Texts. Signs. Media" and the Erfurt Network for New Materialism, both fostering interdisciplinary dialogue on media, language, and speculative thought.

• Information Retrieval
• Natural Language Processing
• Machine Learning
• +۳ مورد دیگر

Jaap Kamps is a Professor at the University of Amsterdam, Netherlands , with a focus on information retrieval , natural language processing , and machine learning . His work spans theoretical and applied research, including contributions to neural ranking models domain adaptation scientific text simplification exploratory search digital libraries for enhanced user access. Recent research highlights include revisiting bag-of-words representations for transformers, context embeddings for retrieval-augmented generation, and positional bias analysis in generative systems. He actively contributes to the CLEF SimpleText Track , promoting simplified scientific communication for diverse audiences. His collaborations involve co-authors like David Rau , Mostafa Dehghani , and Hosein Azarbonyad , with publications in venues such as ACM Transactions on Information Systems and ECIR . He mentors students and participates in conferences like ICTIR and SIGIR , driving advancements in efficient text ranking and user-centric search.

Regina Stoddenمشاهده پروفایل

پژوهشگر ارشد

• Text Simplification
• Online Participation
• Web Accessibility
• +۶ مورد دیگر

Regina Stodden is a Research Fellow at the Department of Computational Linguistics, Heinrich Heine University Düsseldorf, since January 2019. She is affiliated with the NRW Research College for Online Participation (second funding phase) and works under the supervision of Prof. Dr. Marc Ziegele. Education: B.A. in Educational Science, Text Technology, and Computational Linguistics from Bielefeld University M.A. in Information Science and Language Technology from HHU Düsseldorf Her research focuses on automatic text processing , particularly text simplification for online discussions. This includes: Enabling participation for people with limited German proficiency Reducing manual workload in text analysis Exploring accessibility in Open Data portals She has contributed to tools like TS-ANNO for corpus annotation and EASSE-DE for simplification evaluation, with recent work extending to CEFR-based language proficiency assessment . Her research intersects Natural Language Processing , Machine Learning , and Usability Studies , often addressing accessibility challenges in digital participation. Scientific awards: No explicit awards mentioned. Advising and grants: Participates in the NRW Research College for Online Participation funding program and collaborates under Prof. Dr. Laura Kallmeyer's supervision. Her work involves grants related to text simplification for online participation processes.

Johannes Zinkمشاهده پروفایل

پژوهشگر

• Graph Drawing
• Computational Geometry
• Algorithmic Complexity
• +۱ مورد دیگر

Dr. Johannes Zink is a Post-Doc researcher at the Chair of Efficient Algorithms (Prof. Kobourov) at Technical University of Munich (TUM), Campus Heilbronn since October 2024. Previously, he was a Post-Doc at University of Würzburg (2023-2024) and completed his PhD there under the supervision of Prof. Alexander Wolff. His research focuses on graph drawing, computational geometry, and algorithmic complexity problems. Zink's research interests span multiple areas within theoretical computer science, with particular emphasis on graph drawing algorithms, computational geometry problems, and complexity analysis. His work often involves finding efficient algorithms for geometric representations of graphs, analyzing the segment number of planar graphs, and developing techniques for polyline simplification. He has made significant contributions to understanding upward planar drawings, tangle complexity, and level planarity problems. His publication record shows a strong trend toward geometric graph representations, with many papers focusing on visualization techniques, algorithmic solutions for drawing problems, and complexity analyses. His research combines theoretical insights with practical applications, particularly in visualization systems and geometric data processing. Awards and Recognition Multiple 1st place wins at Graph Drawing Live Challenges (2018, 2020, 2023, 2024) PhD prize from Lower Franconian Memorial Year Foundation (2024) PhD prize from University of Würzburg Institute of Computer Science (2023) Deutschlandstipendium scholarship (2015-2017) Bachelor's thesis prize from University of Würzburg (2016) Zink has supervised numerous bachelor's and master's theses, demonstrating his commitment to mentoring the next generation of researchers. His teaching portfolio includes courses on computational geometry, advanced algorithms, and graph visualization. He has also served on program committees for major conferences including EuroCG 2025 and GD 2023, reflecting his standing in the academic community.

Thorsten Gromesمشاهده پروفایل

عضو هیئت علمی

• Post-Civil War Societies
• Humanitarian Military Interventions
• Peace and Conflict Studies
• +۷ مورد دیگر

Thorsten Gromes is a Senior Researcher and Project Leader at the Peace Research Institute Frankfurt (PRIF), within the Research Department Intrastate Conflicts. His research centers on post-civil war societies and humanitarian military interventions, with a regional focus on the Balkans, particularly Bosnia and Herzegovina, Kosovo, and Macedonia. He has held academic positions as a deputy professor at the Universities of Leipzig and Erfurt and has been affiliated with PRIF in various research capacities since 2002. Fields of Interest: His research spans democratization after civil wars, peacekeeping effectiveness, exit strategies for international missions, legitimacy of interventions, and data reliability in conflict studies. He has developed datasets on humanitarian military interventions and post-conflict power-sharing, contributing to both academic and policy debates. Recent Publication Trends: His recent articles (2023–2025) reflect a strong engagement with contemporary conflicts, especially the wars in Afghanistan, Mali, and Ukraine. He critically analyzes mission failures, public discourse on war, election platforms, and the feasibility of peace referendums. A recurring theme is the complexity of causal explanations in conflict termination and the dangers of oversimplification in policy learning. Scientific Awards: No awards are mentioned in the provided text. Advising and Grants: While no specific students or doctoral advisees are listed, Gromes leads research projects and frequently collaborates with colleagues such as Matthias Dembinski and Florian Ranft. His work is supported by PRIF and appears in policy-oriented publications like PRIF Spotlights and Reports, indicating institutional funding and research leadership. He contributes to major German peace policy assessments (Friedensgutachten), suggesting involvement in nationally significant research initiatives. Labs and Teams: He is a key member of PRIF’s Research Department on Intrastate Conflicts, contributing to interdisciplinary teams focused on conflict analysis, peacebuilding, and security policy. His work integrates qualitative and quantitative methods, including QCA (Qualitative Comparative Analysis), and he is involved in creating research datasets that support comparative studies.