Karl Gustafsson is a Professor at Stockholm University within the Department of Economic History and International Relations. His work bridges security studies , collective memory , and digital research methods in international relations. Current Role: Professor of International Relations, Stockholm University Previous Positions: Post-Doc at Lund University, Researcher at Swedish Institute of International Affairs Visiting Appointments: University of Tokyo, Osaka University, Keio University, Academia Sinica, Nordic Institute of Asian Studies Research Focus: Karl specializes in memory politics , ontological security , and anxiety-driven international dynamics , particularly in Sino-Japanese relations and digital platforms . His studies explore how historical narratives and online memory construction influence state identity and policy. Awards & Grants: Recipient of the Wang Gungwu Prize (2014) and Stockholm University Association’s award (2011). Holds Swedish Research Council and Marianne & Marcus Wallenberg Foundation grants for projects on apologies in international politics and digital memory in East Asia . Publications: His work appears in journals such as International Studies Quarterly , European Journal of International Relations , and Memory Studies , addressing topics like narrative power in East Asia, anxiety’s role in policy change , and digital humanities applications in IR.
Sara Stymne is a Senior Lecturer in Computational Linguistics at the Department of Linguistics and Philology, Uppsala University, where she has been working since 2012. She initially joined as a post-doc (2012-2015), then worked as a researcher (2015-2017), and served as an assistant professor (2017-2023) before her current position as Senior Lecturer. Prior to Uppsala, she was a researcher at Linköping University's Department of Computer and Information Science. Dr. Stymne earned her PhD in Computational Linguistics from Linköping University in 2012 with the thesis 'Text Harmonization Strategies for Phrase-Based Statistical Machine Translation,' following a Licentiate degree in Computational Linguistics (2009) and a Master's degree in Cognitive Science (2006), both also from Linköping University. During her doctoral studies, she spent the autumn of 2010 and spring of 2009 at Xerox Research Centre Europe in Grenoble, France. Her primary research interests focus on cross-lingual natural language processing and digital humanities, with particular emphasis on multilingual dependency parsing. Dr. Stymne is passionate about applying computational linguistics to solve research questions in other fields, including language history, literary analysis, and political science. Her earlier work concentrated on machine translation, with specific interests in discourse-aware translation, compound processing, and error analysis. She has made significant contributions to the development of language technology tools for analyzing dialogue, narrative, and stylistic features in literature. Analysis of Dr. Stymne's recent publications reveals a strong focus on cross-lingual and cross-domain natural language processing. Her work spans multiple subfields including dependency parsing across genres and topics, discourse relation analysis in low-resource languages like Egyptian Arabic, direct speech identification in Swedish literature, and causality detection in governmental documents. A notable trend is her application of NLP techniques to digital humanities problems, particularly in analyzing literary texts and historical language change. Her research often involves creating and utilizing specialized datasets for specific linguistic phenomena across multiple languages. Dr. Stymne actively supervises graduate students, having guided numerous master's and bachelor's theses on topics ranging from speech recognition to multilingual parsing and causality detection. She leads or participates in several research projects including 'Fictional prose and language change' (funded by VR, 2021-2023) and 'Enabling climate-resilient development' (funded by Marianne and Marcus Wallenberg Foundation, 2023-2027), demonstrating her commitment to interdisciplinary research with practical applications. Her work has resulted in several notable software resources including uuPronPred for cross-lingual pronoun prediction, uuparser for dependency parsing, and Docent for document-level machine translation. Within the Computational Linguistics and Language Technology group at Uppsala University, Dr. Stymne contributes to multiple research initiatives focused on developing language technology tools for digital humanities applications. Her team works closely with literary scholars and historians to create computational methods for analyzing large corpora of literary texts, particularly focusing on Swedish literature across different historical periods. Her research bridges the gap between theoretical computational linguistics and practical applications in the humanities, creating new methodologies for quantitative analysis of literary and historical texts.
Adam Wickberg is a researcher in the Division of History of Science, Technology and Environment at KTH Royal Institute of Technology in Stockholm. He serves as co-director of the VR Excellence Centre for Anthropocene History and deputy director of the KTH Environmental Humanities Lab . His work critically examines the intersections of digitalization, sustainability , and the Anthropocene , focusing on their social, political, and historical dimensions. He leads the research project The Mediated Planet: Claiming data for environmental SDGs and has held visiting positions at the Max Planck Institute for the History of Science in Berlin. Education : Not explicitly stated His research spans media studies, environmental history, critical data studies , and postcolonial science and technology studies . Key themes include: Digital twins and marine futures AI ethics for climate justice Colonial histories of environmental data Temporal dimensions of Anthropocene governance Environing media as epistemological tools Planetary datafication systems Recent publications explore how data infrastructures shape environmental governance and how historical media practices inform contemporary sustainability challenges. He has contributed to journals like New Media and Society , Nature , and Critical Inquiry , while engaging in public debates through op-eds in Dagens Nyheter and Aftonbladet . Teaching : Courses include Artificial Intelligence and Sustainable Development (AK122V), Environmental History (AK2210), and The Anthropocene (AK126V). Labs/Teams : Leads the Environmental Humanities Lab and collaborates with the WASP-HS Community .
Yang Liu is a tenured Associate Professor at the Department of Management and Engineering , Linköping University, Sweden, and an Adjunct Professor at the University of Oulu, Finland. His expertise spans smart manufacturing, clean energy transition, and Industry 4.0 applications. He holds an M.Sc. and D.Sc. from the University of Vaasa, Finland. Research & Awards: Liu's work focuses on sustainable systems, decision support systems, and AI-driven energy efficiency. He has authored over 140 Web of Science publications, including top 0.1% ESI Hot Papers. He is ranked among the world's top 2% scientists (Stanford-Elsevier) and leads globally in 'big data analytics in manufacturing' and 'Industry 4.0-driven circular economy' research. Leadership & Projects: He leads projects like FlexSUS (EU Horizon 2020) and PERSEUS, developing tools for smart urban energy planning and 15-minute city models. He serves as Editor-in-Chief of Cleaner Engineering and Technology and Guest Editor for multiple journals. His research emphasizes bridging data science with sustainability challenges in manufacturing and energy systems. Key Achievements: Top-ranked in global citations, ESI Highly Cited Papers, and industry-driven sustainability frameworks. Grants: Leads EU-funded projects and collaborates with Siemens Energy on energy transition solutions. Labs & Teams: Part of the Environmental Technology and Management (MILJÖ) division and Unit for Product Service Innovation (MILJOPSI) at Linköping.
Zhibo Pang is an Adjunct Professor at KTH Royal Institute of Technology's Department of Intelligent Systems (EECS) and Senior Principal Scientist at ABB Corporate Research Sweden. His work focuses on digital transformation in industry and healthcare, spanning robotics, AI, control systems, and wireless communication. He leads projects in embodied intelligence, Industry 4.0, and Healthcare 4.0, with 23 granted patents and over 120 journal papers. Education: PhD in Electronic and Computer Systems (KTH, 2013), MBA in Innovation & Growth (University of Turku, 2012). Key Roles: IEEE Technical Committee Chair, Editor of 6 IEEE journals, ABB Inventor of the Year (2016, 2018, 2021). Research Interests: Robotics safety, wireless automation, federated learning, digital twins, and IoT security. Recent Projects: Cloud-fog automation frameworks, robot skin systems for healthcare, and latency-aware industrial control. His work bridges academia and industry through cross-functional collaborations.
Markus Heilig is a Professor of Psychiatry and Head of the Department of Biomedical and Clinical Sciences (BKV) at Linköping University. He serves as Director of the Center for Social and Affective Neuroscience (CSAN), integrating basic and clinical neuroscience to address addictive and affective disorders. His work bridges neuropharmacology, molecular psychiatry, and clinical trials. Linköping University (Current) Center for Social and Affective Neuroscience (CSAN) (Director) Wallenberg Center for Molecular Medicine (Collaborator) His research focuses on alcohol dependence mechanisms, stress-neurotransmitter interactions (e.g., CRF, substance P, endocannabinoids), and personalized medicine approaches. Using animal models and human neuroimaging (fMRI), his lab explores epigenetic changes in frontal lobe and amygdala neurons that drive compulsive alcohol use. Recent publications highlight his work on endocannabinoid modulation for PTSD treatment, neural correlates of reward choices, and pharmacological interventions targeting GABA and opioid receptors. His studies often combine brain imaging, behavioral analysis, and pharmacology. Scientific awards include the 2019 Wallenberg Clinical Scholar grant and 2017 CAN/Nordic Drugs prizes. Heilig's research is supported by Vetenskapsrådet (SEK 57 million center funding) and international donations like the Andrew J. Bock Memorial Fund.
Matteo Magnani is a Professor in the Division of Computing Science at the Department of Information Technology, Uppsala University. He leads the Uppsala University Information Laboratory and is a founding member of the Uppsala University Computational Social Science Lab. His research spans network science, artificial intelligence, data science, and computational social science, with a focus on social data mining and multilayer networks. PhD in Computer Science, University of Bologna, 2006 Graduated with honours in Information Sciences, University of Bologna, 2002 Studies in Computer Science at University of Marne la Vallée and Imperial College London Matteo Magnani's research interests include social network analysis, multilayer and probabilistic networks, community detection, visual analytics, and the application of AI to digital media and climate communication. His work bridges computer science and social sciences, particularly in analyzing online discourse and digital intermediaries. He has contributed significantly to the understanding of network structures, uncertainty in networks, and the ethical dimensions of algorithmic analysis. His recent publications highlight trends in fairness in community detection, visual saliency in network layouts, emotional reactions to climate visuals online, and deep learning applications in social media. Topics frequently involve YouTube, Twitter, and online public debates, using advanced network and machine learning methods. Rotary Prize for best student of the Science Faculty Best Paper Award Funniest Presentation Award Best Poster Award Pedagogical Prize from UTN Distinguished University Teacher (Sweden) Docent title (Sweden) Magnani has supervised numerous students and collaborated widely, particularly with Luca Rossi, Alexandra Segerberg, and Davide Vega. He has secured funding from major sources including VR, H2020, STINT, and MIUR. He leads active research labs focused on information systems and computational social science, fostering interdisciplinary collaboration and innovation in network-based research.
Olof Bälter is a Professor in Computer Science at KTH Royal Institute of Technology, affiliated with the Division of Media Technology and Interaction Design within the School of Electrical Engineering and Computer Science. He is the founder of the Technology-Enhanced Learning research group and holds a focus on learning engineering and human-computer interaction. His research interests center on technology-enhanced learning , question-based learning , learning analytics , AI in education , and inclusive pedagogy . A consistent theme in his work is improving efficiency in education and daily life through digital tools. He developed the Pure Question-Based Learning (Pure QBL) methodology, a digital Socratic approach that enhances student engagement and learning outcomes. His work extends to wellness in education through initiatives like walking seminars, and he investigates digital interventions for mental health, such as online Cognitive Behavioral Therapy (CBT) courses. His recent publications highlight trends in AI-generated educational content , learning efficiency , digital pedagogy , and inclusive course design , with applications in computer science education, language instruction, and global development. His research often employs experimental and data-driven methods, including randomized controlled trials and learning analytics. Teacher of the Year at the Surveying program KTH's Pedagogical Prize Higher Education Hero STINT Excellence in Teaching Scholarship (2008 and 2013) Olof Bälter has supervised numerous courses in programming, computer science, media technology, and learning engineering. He has collaborated with institutions such as Stanford University, Williams College, Region Stockholm, Stockholm University, and organizations like Promobilia and Begripsam. His projects aim to scale effective learning methods globally and make education more accessible and efficient. He leads research on the effectiveness of Pure QBL for students with ADHD and is involved in developing digital tools for health literacy and professional development in Ethiopia and Rwanda. His work bridges theory and practice, aiming to transform educational delivery through innovation and evidence-based design.
Yael Feldman Maggor is a Postdoctoral Fellow at KTH Royal Institute of Technology, affiliated with the Media Technology & Interaction Design Division and the Digital Futures research center. Her work bridges educational technologies, artificial intelligence, and science education, with a focus on enhancing pedagogy through innovative tools. Research Themes: Generative AI in education, self-regulated learning, learning analytics, chemistry education, and ethical considerations in AI integration. Key Projects: Contributions to the International Journal of Science Education, development of AI-driven evaluation frameworks, and pandemic-era online teaching analysis. Methodologies: Expertise in quantitative and qualitative research, educational data mining, and design of interactive learning platforms. Recent publications emphasize cross-cultural trust in AI, generative AI applications in chemistry education, and explainable AI for teacher professional development. She co-authored studies on nanotechnology courses for educators and self-regulation strategies in online learning environments.
Harald Rohracher is a Professor at the Department of Theme (TEMA) , Linköping University , affiliated with the Theme Technology and Social Change (THEME) . His research focuses on sociotechnical transitions for climate-neutral cities , examining energy systems, digitalization, and governance strategies. Grants: Formas, Horizon Europe, Vinnova Labs: STRIPE (Sociotechnical Research on Infrastructures, Politics, and Environment), Biogas Solutions Research Center Students: Adam Svensson, Stella Huang, Gavin Nilsson Lewis, Giorgi Kankia Rohracher investigates how households , social movements , and policy frameworks interact in transformative processes. His recent work explores smart grid politics , decentralized energy systems , and urban food digitalization , emphasizing power dynamics and governance experiments. He leads projects on transdisciplinary education for climate governance, positive energy districts , and collective experimentation across Sweden and Spain. His scientific grants highlight institutional support for sustainability research, while his research teams bridge academic, governmental, and civil society actors.
Lars-Olof Johansson is a Senior Lecturer at Halmstad University's School of Information Technology, specializing in Informatics. His research focuses on digital service innovation from a learning perspective, emphasizing collaboration between diverse stakeholders and knowledge exchange in innovation processes. He is actively involved in the LeaDS research program (Learning in a Digitalized Society) and teaches in the bachelor's program 'Digital Business Development' and the master's program 'Digital Learning'. His work bridges educational methodologies and technological innovation, particularly in fostering environments where interdisciplinary learning drives successful digital service creation. Notably recognized as an 'Excellent Teacher in Informatics,' he integrates practical experience with academic rigor, contributing to both scholarly discourse and pedagogical advancements. Key projects include SESMA (2019-2021), exploring sustainable mobility solutions, and ongoing collaborations in boundary practices for ICT innovation. His publications span topics like knowledgeability in digital service innovation, ethics in autonomous systems, and collaborative learning frameworks. His awards highlight his pedagogical impact, while his research addresses systemic challenges in innovation through interdisciplinary approaches.
Johan Eriksson is an Associate Professor and Senior Lecturer at Uppsala University's Department of Art History, serving as Head of Department and Program Manager for the Master's Program in Digital Art Studies. His work integrates traditional art historical scholarship with cutting-edge digital methodologies, focusing on cultural heritage reconstruction and virtual museum development. His research spans digital art history , visual communication , and Renaissance studies , with specialized expertise in Italian and Japanese art traditions. Eriksson pioneers digital pedagogy through projects like The Digital Seminar 2.0 , examining how virtual reconstructions of historical sites (e.g., Royal Palace Stockholm) transform art historical methodology and public engagement with cultural heritage. His scholarship reveals strong interdisciplinary connections between art history, computer science, and urban studies. Eriksson's publication trends demonstrate consistent focus on virtual museum development as both research tool and preservation strategy, with growing emphasis on cross-cultural exchange (particularly Sweden-Japan collaborations) and sustainable heritage tourism. His work bridges technical innovation with deep art historical analysis, notably in reconstructing historical display contexts and examining visual rhetoric in Renaissance courts. No scientific awards are documented in the provided materials. As Program Manager for the Master's Program in Digital Art Studies and Chair of JSPS SAC, Eriksson actively mentors graduate students while securing research funding for major projects including The Virtual Museum and Visual Communication in Early Modern Japan . His grant portfolio reflects strong institutional support for digital humanities initiatives at Uppsala University. Through leadership of JSPS SAC and project teams like Renaissance Rooms , Eriksson coordinates international research networks focused on digital reconstruction methodologies. His current initiatives emphasize collaborative development of virtual environments that integrate art historical research with immersive technologies for both scholarly and public applications.
Gustav Eje Henter is an Assistant Professor at KTH Royal Institute of Technology, holding roles as the Head of Research at Motorica AB and a Core Team Member of the Wallenberg Research Arena (WARA) for Media and Language. He is the Secretary of the ISCA SynSIG (Special Interest Group on Speech Synthesis) and a Co-Organiser of the GENEA Workshops on Embodied Agents' Non-Verbal Behavior. His research focuses on speech synthesis, gesture generation, and multimodal interaction, with contributions to TTS systems, neural networks, and embodied AI. He leads Digital Futures, a cross-disciplinary research center addressing societal challenges through digital technologies. This center is a collaboration between KTH, Stockholm University, and RISE. His work spans foundational research to industrial applications, emphasizing ethical AI, privacy in voice conversion, and human-robot interaction. Key research themes include causal reasoning in LLMs, adversarial privacy techniques, and benchmarking frameworks like the GENEA Leaderboard. He has organized international workshops (GENEA 2021-2024) and contributed to standards in TTS evaluation methodologies. His technical innovations include HiFi-Glot for formant synthesis and Matcha-TTS for fast waveform generation. His research integrates audio, gesture, and motion synthesis with deep learning, addressing challenges in spontaneous speech synthesis, multimodal coherence, and listener perception. He advocates for rigorous evaluation practices and open challenges to advance the field's reproducibility and real-world applicability.
Lars Hanson is a Professor of Product Design Engineering at the University of Skövde's School of Engineering Science. His research focuses on ergonomics, digital human modeling, and optimizing manufacturing systems with a strong emphasis on human well-being and sustainable production. He leads projects like LITMUS (Industry 4.0 to 5.0 transition) and has contributed to developing tools such as IPS IMMA for ergonomic simulations. Active in virtual verification of human-robot collaboration and smart textile systems for workplace safety Published extensively in journals like International Journal of Human Factors Modelling and Simulation and IEEE Access Editor of conference proceedings and contributor to industry standards in automotive and healthcare sectors Research interests include multi-objective optimization of factory layouts, musculoskeletal risk assessment, and integrating ergonomic evaluations into product design processes. Current projects address Industry 5.0 sustainability challenges through digital twin technologies and smart manufacturing solutions.
Simon Lindgren is a Professor of Sociology and Director of DIGSUM (Digital Societies and Media) at Umeå University's Department of Sociology. His research focuses on politics, power, and resistance in the context of digital technologies, employing methods like critical discourse analysis, computational text analysis, and social network analysis. He leads interdisciplinary research on social dimensions of digital technology, including AI ethics, algorithmic governance, and digital activism. Key research areas include algorithmic politics, social media mobilization, critical AI studies, and data activism. Lindgren has directed projects such as 'Programmable Politics,' exploring algorithmic automation in civil society, and '#NeverForget vs. #NeverHappened,' analyzing Holocaust commemoration on social media. His work bridges sociology with computational methods, emphasizing the sociotechnical implications of digital tools. Recent publications address bot activity in progressive movements, class dynamics in AI research, and mental health discourse on Instagram. Lindgren has secured grants for AI ethics projects and co-authored works like the Handbook of Critical Studies of Artificial Intelligence . His research further explores digital care for aging populations and misinformation during emergencies. Lindgren coordinates the 'AI and Society' research group and has advised numerous collaborative projects at Umeå University. His work frequently intersects with policy analysis, aiming to inform governance of emerging digital technologies while critiquing techno-solutionist approaches.
