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Katarzyna Grunt-MejerView profile

Assistant Professor

• Psychology
• Sexology
• Sexual Ethics
• +5 more

Dr. Katarzyna Grunt-Mejer is an academic at SWPS University of Social Sciences and Humanities, based at the Poznań campus. She is affiliated with the Faculty of Psychology and Law and works within the Department of Clinical and Health Psychology at the Institute of Psychology. Holding a Doctor of Humanities in Psychology degree with additional training in sexology, philosophy, and bioethics, she serves as an Assistant Professor teaching sexology, basic psychology, and research methods in clinical psychology. She also directs the postgraduate studies in practical sexology. Dr. Grunt-Mejer's research focuses on sexual ethics, psychological support, the functioning of close relationships, and sexology. She has made significant contributions to understanding consensual non-monogamy, having led an international project from 2013 to 2015 examining attitudes toward non-mononormative relationships. Her work spans multiple disciplines including psychology, bioethics, and social sciences, with particular emphasis on the ethical implications of sexual health practices and the social construction of sexual norms. Her publication record shows consistent output across multiple domains, with her most recent work addressing contemporary issues in sexology, relationship structures, and sexual health. The articles demonstrate a clear progression from foundational research on relationship types to more nuanced examinations of ethical considerations in sexual health and the medicalization of sexual desire. Member of the scientific committee for the "Conference on the Future of Monogamy and Non-monogamy" Recipient of National Science Centre funding (SONATA competition) for her project "The concept of norm in sexology" (2017-2020) Contributor to significant research on road aggression and transportation psychology Dr. Grunt-Mejer actively engages in both academic and public discourse, participating in conferences like the Impact 2024 congress and contributing to public understanding of human sexuality. She leads the Sexology Scientific Club at the university and has been involved in numerous research projects examining the intersection of psychology, ethics, and sexual health. Her work demonstrates a commitment to bridging academic research with practical applications in clinical settings and public education.

Rianne de HeideView profile

Assistant Professor

• Machine Learning
• Statistics
• Hypothesis Testing
• +7 more

Rianne de Heide is an Assistant Professor in the Statistics group (STAT) within the Department of Applied Mathematics at the University of Twente's Faculty of Electrical Engineering, Mathematics and Computer Science. She maintains collaborative arrangements with LUXs Data Science in Leiden, CWI, and VU Mathematics in Amsterdam as a guest researcher while working partly remotely during her family's relocation. Her academic journey includes a previous position as Assistant Professor at Vrije Universiteit Amsterdam. PhD Dissertation: 'Bayesian Learning: Challenges, Limitations and Pragmatics' (2020) MSc Thesis: 'The Safe-Bayesian Lasso' (2016) De Heide's research spans multiple interconnected domains within statistics and machine learning, with particular emphasis on developing mathematically rigorous frameworks that remain accessible to diverse audiences. Her work bridges theoretical foundations with practical applications, focusing on hypothesis testing with e-values, Bayesian learning methodologies, and best-arm identification problems in multi-armed bandit settings. She demonstrates exceptional interdisciplinary range, connecting statistical theory with philosophical inquiry and even theological discussions as evidenced by her publications on biblical authorship verification and mathematical beauty. Analysis of her publication trajectory reveals a clear evolution toward developing anytime-valid statistical methods, particularly through e-values and e-processes for multiple testing scenarios. Her recent work shows increasing focus on foundational questions in statistical inference while maintaining strong connections to practical machine learning applications. The 2024 'Safe Testing' paper in the Journal of the Royal Statistical Society represents a significant contribution that generated a formal discussion meeting. VENI project 'E-values for Multiple Testing' NWO M2 grant of €742,708 with Jelle Goeman (funding 2 PhD students and a scientific programmer) 2025 Bernoulli Society New Researcher Award De Heide actively supervises research through her VENI project and the NWO M2 grant, while also contributing to broader academic service through the 'Kindness and Excellence in Academia' initiative she co-founded. This initiative addresses critical cultural issues in academic environments through opinion pieces, resources, and community building around compassionate academic practices. She has organized specialized events like the E-Day meet-up for e-value researchers at CWI in Amsterdam, demonstrating leadership in her niche research community. Her research activities are centered around the Statistics group at the University of Twente, with significant external collaborations through the E-mailing list for e-value researchers and partnerships with institutions including CWI, VU Amsterdam, and Leiden's LUXs Data Science. The interdisciplinary nature of her work creates connections across mathematics, computer science, philosophy, and even religious studies.

• Statistics
• Machine Learning
• Statistical Inference
• +3 more

Peter Grünwald is full professor of Statistical Learning at Leiden University's Mathematical Institute and senior researcher in the Machine Learning group at CWI (Centrum Wiskunde & Informatica) in Amsterdam. His pioneering work on e-values establishes a transformative framework for statistical inference that overcomes critical limitations of classical p-values, enabling flexible experimental designs while maintaining rigorous error control. His research centers on e-values and e-processes as a unifying paradigm between Bayesian and frequentist statistics, with core innovations in safe testing, anytime-valid inference, and optional continuation. These methods allow researchers to gather additional data after initial analysis without inflating Type I errors and to determine significance levels post-hoc—addressing longstanding rigidity in Neyman-Pearson hypothesis testing. His publication trajectory reveals rapid adoption of e-values across disciplines: from foundational theory in PNAS and JRSSB to clinical applications in survival analysis (NEJSDS) and epidemiology (medrxiv meta-analysis). The 2022–2024 publications demonstrate methodological maturation, with implementations in R (safestats package) and growing use in social sciences (PsyArXiv) and causal inference (JASA). Scientific recognition includes: ERC Advanced Grant (2024) for developing flexible statistical inference theory via e-values His ERC-funded project drives current research, while his internship policy restricts non-Dutch master’s/bachelor’s students but welcomes advanced international PhD candidates. Collaborative work spans statisticians (Ly, de Heide, Koolen), machine learning researchers (Ramdas, Shafer), and medical scientists (van Werkhoven). As core member of CWI's Machine Learning group, he advances theoretical foundations with practical impact—evidenced by the first live deployment of e-values in a BCG vaccine meta-analysis. His work redefines statistical practice for adaptive data collection in clinical trials, AI, and social science research.

• Digital Education
• Childhood Studies
• Educational Technology
• +5 more

Joanna Dziekońska is a Lecturer at the Department of Didactics and Early Education, Faculty of Social Sciences, University of Warmia and Mazury in Olsztyn. Her work focuses on digital education, childhood studies in digital environments, and special education practices. PhD candidate in Pedagogy at the University of Warmia and Mazury (2020–present) Master's in Journalism and Social Communication (2010) Bachelor's in Journalism and Social Communication (2008) Postgraduate studies in Logopedics at the University of Warmia and Mazury (2012) Bachelor's in Early Childhood Education at the University of Warmia and Mazury (2011) Her research examines digital upbringing, hybrid childhood experiences, and the role of new technologies in education. She has published extensively on children's internet communication, digital culture implications, and intensive parenting in digital eras. Joanna's publications explore digital native integration, digital communities, and educational technology trends. Key themes include digital literacy, hybrid learning environments, and media influence on child development. She has presented at national pedagogical conferences and contributed to reports analyzing digital society impacts on education and parenting strategies. Joanna has been a research and teaching staff member at the University of Warmia and Mazury since 2015, preceded by roles as a preschool teacher and speech therapist in Olsztyn and Myszyniec.

Michael ParkerView profile

Professor

• Bioethics
• Global Health
• Genomics
• +3 more

Professor Michael Parker is Director of the Ethox Centre and Professor of Bioethics at the University of Oxford's Nuffield Department of Population Health. He leads the Wellcome Discovery Research Platform for Transformative Inclusivity in Ethics and Humanities (ANTITHESES) and serves as Chair of the Ethics Advisory Board for "Our Future Health" and Cancer Research UK's Research Data Advisory Board. Established the Global Health Bioethics Network (2012) across Kenya, Malawi, Malaysia, South Africa, Thailand, and Vietnam Co-founder of the Oxford-Johns Hopkins Global Infectious Disease Ethics Collaboratory (GLIDE) (2020) Member of WHO's Expert Group on ethics and governance of infectious disease outbreaks His research focuses on ethical dimensions of genomics, pandemic response, and data science, with particular emphasis on moral disagreement and value pluralism. Current projects involve collaborations with the Pandemic Sciences Institute, MalariaGEN, Big Data Institute, UK Biobank, and 100,000 Genomes Project. Recent publications highlight his work in: Ethical challenges of AI in pandemic modeling Authorship equity in biomedical research Equitable access to genomic medicine Ethics of uterus transplantation in global contexts Data governance frameworks for cancer care He has held significant advisory roles including: Non-Executive Director at Genomics England (2013-2022) Member of UK's Scientific Advisory Group for Emergencies (SAGE) during the pandemic Chair of Nuffield Council on Bioethics Working Group on global health emergencies (2018-2020)

Cindy Kaiying LinView profile

Assistant Professor

• Artificial Intelligence
• Human-Computer Interaction
• Critical Data Studies
• +6 more

Cindy Kaiying Lin is an ethnographer and information scientist serving as the Stephen Fleming Early Career Assistant Professor in the School of Interactive Computing at Georgia Institute of Technology. Her career spans roles as an assistant professor at Pennsylvania State University's College of Information Sciences and Technology, and postdoctoral fellowships at Cornell Tech's Digital Life Initiative and Cornell Atkinson Centre for Sustainability. PhD from University of Michigan's School of Information Co-author of Technoprecarious (MIT Press, 2020) and Digital Energetics (Minnesota Press, 2023) Published in ACM CHI, Social Text, e-flux, and other venues Her research integrates Artificial Intelligence , Human-Computer Interaction , and Critical Data Studies to analyze climate data practices and environmental governance in Indonesia and the United States. She explores how data infrastructures mediate ecological crises, sociotechnical errors, and post-growth economies. Recent publications reveal trends in environmental data ethics, techno-optimism critique, and sustainable computing. Lin examines energy systems, digital precarity, and repair practices through interdisciplinary lenses spanning computational and humanistic disciplines. Scientific awards include the ProQuest Distinguished Dissertation Award from the University of Michigan. Her work bridges computing with critical theory, evidenced by publications in both ACM venues and humanistic presses.

Jim McKinleyView profile

Professor

• Applied Linguistics
• Language Education
• Higher Education Studies
• +3 more

Jim McKinley is a Professor of Applied Linguistics at University College London (UCL), specifically within the IOE - Culture, Communication & Media. His career spans 25+ years across the UK, Japan, Australia, Uganda, and the US, focusing on the interplay between globalization, language education, and higher education. Education : PhD from Victoria University of Wellington, MA and BA (Hons) from the University of Sydney and Susquehanna University, respectively. His research bridges applied linguistics and higher education studies, emphasizing English Medium Instruction (EMI), teacher training, and the teaching-research nexus. Funded by the Economic and Social Research Council (ESRC), British Academy, British Council, and John Fell Fund, he explores linguistic challenges in EMI and Content and Language Integrated Learning (CLIL). Recent publications address EMI policy in Ethiopia/Poland/Japan, academic literacy in EMI, and systematic review methodologies. He is Editor-in-Chief of System and co-Editor of Cambridge Elements: Language Teaching . Scientific Awards : Senior Fellow of the Higher Education Academy (2020-present), Honorary Research Fellow at the University of Oxford (2021-2023). Leadership Roles : Former Director of Studies for PhD in Education at UCL, Head of Programme, and leadership in academic organizations.

Dedre GentnerView profile

Professor

• Cognitive Science
• Analogical Reasoning
• Language Acquisition
• +6 more

Dedre Gentner is the Alice Gabrielle Twight Professor of Psychology and Education at Northwestern University , where she also serves as Director of the Cognitive Science Program and Co P.I. of the Spatial Intelligence and Learning Center . She holds joint appointments in the School of Education and Social Policy and the Department of Psychology. Ph.D. in Psychology, University of California, San Diego (1974) B.A. in Physics, University of California, Berkeley (1967) Research Interests focus on analogical processing , relational cognition , and language acquisition . Her work explores how structural alignment underpins analogical and metaphorical reasoning, with applications to education , child development , and cognitive modeling . Key themes include: Structure-mapping theory for analogical reasoning Role of relational language in concept formation Causal systems categorization in novices vs. experts Analogy in scientific discovery Impact of analogy on spatial/geoscience education Scientific Awards include the David E. Rumelhart Prize (2016) , Alexander von Humboldt Research Award (2012) , and Journal of Cognition and Development's Editor's Choice Award (2010) . She is a Fellow of the American Academy of Arts and Sciences , APA , and Cognitive Science Society . Advising & Grants : Gentner has advised numerous projects and secured grants from institutions like the Office of Naval Research (ONR) and National Science Foundation (NSF) . Her lab collaborates on topics such as analogical learning in children’s museums and computational models of analogy . Labs & Teams : Leads the Cognition and Language Lab and co-leads the Spatial Intelligence and Learning Center , focusing on interdisciplinary research bridging psychology, education, and computational modeling.

Federico BeccaView profile

Associate Professor

• Theoretical Physics
• Condensed Matter Physics
• Strongly Correlated Systems
• +4 more

Federico Becca is an Associate Professor in the Department of Physics at the University of Trieste . He is a theoretical condensed matter physicist specializing in strongly correlated electronic systems , with a focus on spin liquids , superconductivity , and topological phases . His research employs quantum Monte Carlo and exact diagonalizations to study lattice models like the Hubbard and Heisenberg models . Education: Laurea in Physics, Università La Sapienza, Roma (1996) PhD in Condensed Matter, ISAS-SISSA, Trieste (2000) Research Interests: Prof. Becca’s work centers on Mott insulators , spin-liquid phases , and superconductivity in systems with magnetic frustration and strong electron correlations. He investigates unconventional electronic states in reduced dimensions and explores the interplay between spin-phonon interactions and quantum phase transitions . Scientific Collaborations: Alberto Parola (Insubria University) Michele Fabrizio (SISSA) Roser Valenti (University of Frankfurt) Didier Poilblanc (University of Toulouse) Yasir Iqbal (Indian Institute of Technology Madras) Current Projects: Unravelling the intertwined correlated states of matter in moiré superlattices (funded by MINISTERO DELL'UNIVERSITA' E DELLA RICERCA). He also leads the "Studio computazionale del modelli di Kane and Mele" project as a Scholar at risk.

Wolfram GroschopfView profile

Researcher

• Sustainability in Transport and Logistics
• Digitalization in Supply Chain Management
• Greenhouse Gas Emissions Quantification
• +3 more

Dr. Wolfram Groschopf is a researcher at the Institute of Transport Economics and Logistics at Vienna University of Economics and Business (WU Vienna). His work focuses on sustainability and digitalization in transport, logistics, and supply chain management, with expertise in quantifying greenhouse gas emissions and traffic congestion impacts.

• Trustworthy Machine Learning
• Algorithmic Fairness
• Robust Distributed Learning
• +5 more

Sanmi (Oluwasanmi) Koyejo is an Assistant Professor in the Department of Computer Science at Stanford University and an adjunct Associate Professor at the University of Illinois at Urbana-Champaign. He leads Stanford Trustworthy AI Research (STAIR), working to develop the principles and practice of trustworthy machine learning with applications to neuroscience and healthcare. Koyejo holds affiliations with multiple Stanford institutes including SAIL, HAI, CRFM, AIMI, AI Safety, Machine Learning Group, and Bio-X. Koyejo completed his Ph.D. at the University of Texas at Austin followed by postdoctoral research at Stanford University. His research bridges theoretical machine learning with practical healthcare applications, focusing on developing robust and fair AI systems that can be trusted in critical domains. His work spans algorithmic fairness, robust distributed learning, metric elicitation, and applications to medical imaging and neuroscience. His recent publications demonstrate a strong focus on emerging challenges in AI including emergent abilities in large language models, fairness in medical AI, federated learning, and robustness against adversarial attacks. His work has increasingly addressed real-world healthcare challenges through deep learning applications to medical imaging, particularly chest radiographs for disease detection. Scientific Awards: NSF CAREER Award 2021 Skip Ellis Early Career Award Sloan Research Fellowship Frederick E. Terman Faculty Fellow (2022) Best Paper Award from UAI Kavli Fellowship IJCAI Early Career Spotlight Koyejo actively mentors a large research group with numerous PhD students and postdocs. His research has been supported by significant grants including NSF funding for projects like 'Fair Federated Representation Learning for Breast Cancer Risk Scoring.' He serves in leadership roles including as General Co-chair for NeurIPS 2022 and President of the Black in AI organization. His STAIR research group focuses on developing trustworthy AI principles and practices, with applications to healthcare and neuroimaging. The group collaborates extensively with healthcare institutions including OSF Healthcare and participates in major initiatives like the NIH-funded MIDRC and the NSF AI research institute AIFARMS.

Martin StridhView profile

Associate Professor

• Biomedical Signal Processing
• Data-driven Diagnostics
• Machine Learning in Healthcare
• +3 more

Martin Stridh is an Associate Professor and Senior Lecturer at the Department of Biomedical Engineering, Lund University, specializing in biomedical signal processing and data-driven diagnostics. He teaches courses in biomedical engineering, signal processing, e-health, and machine learning for healthcare applications. His research focuses on leveraging signal processing and machine learning to improve diagnostics and treatment outcome prediction in cardiac and eye-tracking data. Notable projects include AI-based ECG screening, artifact-free ECG analysis, and event detection in cardiac signals. Recent publications highlight advancements in atrial fibrillation detection using ECG data, with an emphasis on reducing false alarms and improving accuracy. His work often involves collaboration with clinical and engineering teams, particularly in the MY-ATRIA network. Top 10 cited paper 2006-2008 in Medical Engineering and Physics Best teacher 2001 by the Computer Science program Svenska Cardiologföreningens och Knolls Competition Abstract Prize 1999 As founder of Cardiolund AB, he applies his research to automated ECG analysis for arrhythmia screening and patient prioritization. He supervises PhD students, including Ricardo Salinas Martinez, and contributes to cross-disciplinary workshops like Engineering Health Crossroads.

Betty TärningView profile

Researcher

• Cognitive Science
• Educational Technology
• Human-Computer Interaction
• +5 more

Betty Tärning is a researcher at the Department of Philosophy, Lund University , specializing in Cognitive Science and Educational Technology . She is affiliated with the eSSENCE: The e-Science Collaboration and contributes to the LU Profile Area: Natural and Artificial Cognition . Her work focuses on digital learning environments, pedagogical agents, and feedback systems. Email: betty.tarning@lucs.lu.se Office: LUX:B467, Helgonavägen 3, Lund Research Interests: Tärning investigates how virtual reality and educational games can enhance learning outcomes, particularly in middle school and early childhood education . Her recent work explores robotic emotional expression and feedback neglect in digital contexts. Article Trends: Recent publications emphasize human-robot interaction , virtual learning environments , and feedback mechanisms in educational games. She integrates cognitive modeling with pedagogical design to address challenges in digital literacy and student engagement . Projects & Collaborations: Active in initiatives like DeSIDE: Designing Sustainable Digital Work and Virtuellt klassrum som forskningsplattform , she collaborates across disciplines, including with Pufendorf IAS and Humanities Lab . Her network includes researchers from Sweden , Europe , and North America .

Gerhard SchwabeView profile

Professor

• Collaborative Technologies
• Information Management
• E-Government
• +5 more

Gerhard Schwabe is a Professor in the Department of Informatics at the University of Zurich, Faculty of Business, Economics and Informatics. His research spans collaborative technologies, information management, E-government, blockchain applications, and digital health. He leads the Information Management Research Group and contributes to the university's Digital Society Initiative (DSI). Research Focus: Human-AI collaboration, blockchain systems, crisis informatics, persuasive technologies Key Projects: RefuGPT (refugee support chatbots), Scripted Medicine (health worker assistance), PROMISE (AI prompt orchestration) Technical Expertise: Design Science Research, conversational agents, data-driven governance His recent publications emphasize AI integration in collaborative workflows, blockchain applications for data markets, and digital solutions for crisis management. He explores how generative AI impacts freelance development practices and transforms advisory services through automated systems. Contact: schwabe@ifi.uzh.ch

• Technology Enhanced Learning
• Activity Theory
• Educational Change
• +5 more

Brett Bligh is a Senior Lecturer at Lancaster University's Department of Educational Research and Director of the Doctoral Programme in E-Research and Technology Enhanced Learning. His work focuses on technology-driven institutional change in post-compulsory education through Activity Theory and interventionist methodologies like the Change Laboratory. Current roles: Director of Teaching for Department of Educational Research Leadership in International Society for Cultural-historical Activity Research (ISCAR) Co-editorships: Studies in Technology Enhanced Learning, Bureau de Change Laboratory Research interests center on: Digital transformation in higher education Activity theory applications Change Laboratory interventions Technology-enhanced learning frameworks His recent publications analyze: Open Educational Practices (2025) Virtual sustainability initiatives (2025) Pandemic-era educational pivoting (2022) Networked learning frameworks (2023) He supervises numerous PhD students (20+) working on: AI integration in teaching Blended learning communities Logistics education reform Medical professional identity