جستجوی استاد راهنمای دانشگاهی

Roy Peaمشاهده پروفایل

استاد

• Brain and Learning Sciences
• Child Development
• Collaborative Learning
• +۹ مورد دیگر

Professor Roy Pea is the David Jacks Professor of Education & Learning Sciences at Stanford University, with a courtesy appointment in Computer Science. He served as Director of the H-STAR Institute (2007-2021) and founded Stanford’s PhD program in Learning Sciences and Technology Design. His research focuses on technology-enhanced learning, social foundations of human learning, and interdisciplinary applications of digital tools. Stanford University, School of Education Graduate School of Education Department Courtesy appointment in Computer Science His work spans complex domains like concussion education, climate change learning, and AI-driven mental health interventions. He co-authored the 2010 National Education Technology Plan and co-edited key texts including Video Research in the Learning Sciences and AI in Education . His NSF-funded LIFE Center (2004-2014) advanced learning science theories. Recent publications address: (1) linguistic framing of concussions and reporting behavior, (2) AI chatbots for mental health, (3) "engineering fiction" to reduce climate change abstractness, and (4) immersive AR/LLM learning experiences. His research integrates data science, psychology, and educational technology. Fellow, American Academy of Arts and Sciences (2019) Inaugural Fellow, International Society of the Learning Sciences (2018) Honorary Doctorate, The Open University (2018) Best Bridging Paper, EDM 2014 LAK13 Best Paper Award (2013) Roy mentors doctoral and master’s students in learning sciences, advising on topics related to technology, cognition, and equity. He contributes to digital education policy through roles on advisory boards for organizations like NSF, NIH, and the Joan Ganz Cooney Center. His patents include methods for digital video analysis and collaborative learning systems.

• Information Visualization
• Geovisualization
• Cartography
• +۷ مورد دیگر

Professor Jason Dykes is a leading figure in the field of information and geovisualization at City, University of London, where he holds the position of Professor in the Department of Computer Science and co-directs the giCentre , a renowned research centre in visualization. He is affiliated with the School of Mathematics, Computer Science and Engineering and maintains an active research and teaching profile. His academic journey includes a PhD in Geography from the University of Leicester and extensive leadership in both research and education. Education: PhD in Geography, University of Leicester, 2000 MSc in Geographic Information Systems, University of Leicester, 1991 BA/MA in Geography, University of Oxford, 1989 Jason Dykes' research is centered on designing visual methods and tools for exploring, analyzing, and presenting information, with a strong emphasis on geographic data. His work integrates cartography, information visualization, GIScience, and human-computer interaction , leading to the development of innovative techniques such as geowigs, ODmaps, BallotMaps, and AttributeSignatures. He has published extensively in top-tier journals like IEEE Transactions on Visualization & Computer Graphics, with over 20 papers in the last decade, and co-authored the seminal book Exploring Geovisualization (2005). His research is supported by major funders including EPSRC and the EU, with projects like RAMP VIS (Covid-19 response) and VALCRI (criminal intelligence). The most recent articles highlight a consistent trend in applied and human-centered visualization , focusing on responsive design, education, pandemic modeling, and novel visual metaphors for complex data. His work increasingly emphasizes methodological rigor, design exposition, and the role of visualization in interdisciplinary and emergency contexts. Scientific Awards and Recognition: National Teaching Fellow, Higher Education Academy (2005) Best Paper Awards at GIS Research UK (consecutive years) Honorable Mentions, IEEE InfoVis (2009, 2010, 2016, 2018) Security Innovation Commercialisation Award (EU, 2022) Research Supervisor of the Year, City Student Union (2020) Innovations in Teaching Award and multiple teaching grants at City Jason Dykes has supervised eight PhD students to completion and advised many others, including notable researchers like Roger Beecham, Sarah Goodwin, and Susanne Bleisch. His teaching includes modules such as Visualizing Society and Data Presentation. He has received significant grant funding from UK research councils and the EU for projects like DIVA, VALCRI, and RAMP VIS. His service to the community includes leadership roles in IEEE VIS, ICA Commission on GeoVisualization, and editorial positions at IEEE TVCG and the Journal of Visualization and Interaction. He leads the giCentre , a dynamic research group that fosters innovation in visualization, and has been instrumental in establishing the field’s educational and methodological foundations through participation in Dagstuhl seminars and publications on visualization pedagogy.

Lucio Baccaroمشاهده پروفایل

استاد

• Comparative Political Economy
• Comparative Employment Relations
• Comparative Labor Movements
• +۷ مورد دیگر

Lucio Baccaro is Director at the Max Planck Institute for the Study of Societies (MPIfG) and was Full Professor of Macrosociology at the University of Geneva, where he also served as Deputy Dean for Research (2016–2020). He has held academic positions at MIT, Case Western Reserve University, and visiting roles at the University of Turin and the University of Vienna. His primary affiliations are with MPIfG and the University of Geneva, both central to his research in political economy and sociology. Education: PhD in Management and Political Science, Massachusetts Institute of Technology (MIT), 1999 Doctorate in Labor Law and Industrial Relations, University of Pavia, 1997 Master of Business Administration, Stoa' (IRI-MIT joint venture), 1991 Laurea in Philosophy, summa cum laude, University "La Sapienza", Rome, 1989 Lucio Baccaro’s research focuses on comparative political economy, labor relations, global worker rights, and deliberative governance . His work integrates economic sociology and political sociology to analyze institutional change, social dialogue, and the impact of globalization on labor and welfare systems. He has led major comparative studies on employment models, pension reforms, and international labor standards. His scholarship emphasizes the interplay between institutions, ideas, and power in shaping economic governance. His recent publications reveal a consistent focus on institutional change, deliberative processes, labor market reforms, and global justice . Themes include path dependence in international organizations, the transformation of collective bargaining, and the role of expertise in democratic governance. His interdisciplinary approach bridges sociology, political science, and economics, with strong methodological rigor in comparative and qualitative analysis. Scientific Awards and Honors: Honorary Professor, University of Duisburg-Essen (2023) Professeur honoraire, University of Geneva (2020) International Geneva Award (2011) Outstanding Young Scholar Award, IRRA (2003) Founder's Prize, SASE (2001) Maurice F. Strong Career Development Chair, MIT (2006–2009) Multiple fellowships from SSRC, Harvard, MIT, and CUNY Alfiere del Lavoro, awarded by the President of Italy (1984) Advising and Grants: While specific student advisees are not listed, Baccaro has supervised research and mentored scholars through his roles at MPIfG and the University of Geneva. He has secured substantial research funding, including grants from the Swiss National Science Foundation (SNF) and the Swiss Network for International Studies (SNIS), supporting projects on post-Fordist growth models, employment policy, and deliberative governance. His leadership in co-principal investigator roles highlights his collaborative research approach and institutional influence. Labs and Research Teams: As Director at MPIfG, Baccaro leads a major research institute focused on the study of societal and economic institutions. He has been instrumental in shaping research agendas on political economy and governance, fostering interdisciplinary collaboration and international scholarly exchange.

Katja Thoringمشاهده پروفایل

استاد

• Creative Workspace Design
• Design Thinking
• Generative AI in Design
• +۵ مورد دیگر

Prof. Dr. Katja Thoring is a Full Professor of Integrated Product Design at the Technical University of Munich (TUM School of Engineering and Design). She holds a doctorate in Design Research from Delft University of Technology and has previously served as Professor of Integrated Design at Anhalt University of Applied Sciences in Dessau from 2009–2022. Her research bridges product design, architectural space, and technology, focusing on how physical environments stimulate creativity and design processes across functional, emotional, and cognitive dimensions. Key areas include generative AI applications in design, innovative research methodologies, and creative workspace design. She developed methods like the 'Delphi Design Sprint' and contributed to frameworks such as the FOD (Future-Oriented Design) model. Thoring is a member of prominent design societies (DGTF, Design Society, DRS) and a founding member of the Academy of Design Innovation Management (ADIM). Notable awards include the 'Best Paper Award' at ADIM Conference (2017) and recognition as a top early-career researcher (2019). Her work integrates design education innovation, with studies on pedagogical spaces and cross-cultural design thinking. She has published extensively on design knowledge models, creative environments, and future-oriented design strategies.

Elizabeth Millerمشاهده پروفایل

استاد

• Consumer Decision-Making
• Health Decisions
• Affect and Behavior
• +۴ مورد دیگر

Elizabeth Miller serves as Department Chair and Professor of Marketing at the Isenberg School of Management, University of Massachusetts Amherst. Her academic leadership includes roles as PhD Coordinator since 2013 and prior appointments as Assistant and Associate Professor at UMass and Boston College. Her research centers on affect-driven consumer behavior , with specialization in health decisions, consumer well-being, and social impact. Key themes include emotional influences on information processing, CSR authenticity, and crisis-driven behavioral shifts during events like the COVID-19 pandemic. Her work bridges marketing theory with practical applications in food security, medical decision-making, and sustainable consumption. Miller's recent publications reveal strong trends in emotional drivers of pro-social behavior (e.g., awe in environmental actions, community philanthropy during crises) and methodological innovation in health communication (e.g., data visualization for medical choices). Her scholarship increasingly focuses on collective well-being frameworks and youth-led social entrepreneurship ecosystems. Best Research Paper, Direct/Interactive Marketing Research Summit (2013) Research Excellence Award, Isenberg School (2013) Mellon Mutual Team Mentorship Grant (2012) As PhD Coordinator, she mentors doctoral candidates in consumer behavior and experimental design. Her teaching spans doctoral seminars on experimental methodology to undergraduate courses in advertising and services marketing. Miller directs research partnerships with social impact organizations, focusing on food access equity and community resilience building. Her lab initiatives emphasize translational research through collaborations with public health agencies and social enterprises, particularly in post-pandemic food systems and medical decision support tools. Current projects explore linguistic humanization of service robots and youth entrepreneurship ecosystems.

Daniel A. McAdamsمشاهده پروفایل

استاد

• Design Theory
• Bio-inspired Design
• Product Architecture
• +۳ مورد دیگر

Daniel A. McAdams is the Robert H. Fletcher Professor in Mechanical Engineering at Texas A&M University and serves as the NSF Program Director of Convergent Activities. His research develops design theory and methodology with focus on functional modeling, bio-inspired design, and technology evolution. Educational Background: PhD in Mechanical Engineering from University of Texas at Austin MS in Mechanical Engineering from California Institute of Technology BS in Mechanical Engineering from University of Texas at Austin His research investigates innovation in concept synthesis through computational methods, bio-inspired design approaches, and technology evolution applied to product development. Current projects include function-sharing principles in biological systems, digital twin architectures, and patent mining for technology forecasting. Recent publications explore applications of speculative fiction in design ideation, graph-theoretic approaches for digital twins, and automated assessment in engineering education, demonstrating cross-disciplinary innovation across design science. Awards and Honors: ASME Design Theory and Methodology Award Distinguished Achievement Award for Student Relations Multiple Faculty Fellow awards Design Studies Best Paper Award Outstanding Faculty Mentor Award He leads the Product Synthesis Engineering Lab, advancing design methodologies for complex engineered systems through computational approaches and biological analogies.

• Data Visualization
• Visual Analytics
• Computer Science
• +۴ مورد دیگر

Jonathan Roberts is a researcher at Bangor University, UK, with a focus on data visualization, visual analytics, and educational technology. His work bridges computer science and creative design, particularly in data art exhibitions and authentic learning. Key research areas: Data Visualization, Visual Analytics, Educational Technology, Digital Art Recent publications explore generative AI in visualization design, multiple-view patterns for time series data, and frameworks for creative learning. His collaborations span institutions like QUT, University of Manchester, and University of Cambridge. Notable awards include VAST 2012 Honorable Mention and VAST 2010 Analytic Process Recognition. He contributes to visualization pedagogy and has co-authored works on haptic interfaces, immersive analytics, and coastal data modeling.

• Creative Cognition
• Psychology of Creativity
• Metacognition
• +۳ مورد دیگر

Mathias Benedek is an Associate Professor at the Institute of Psychology, Faculty of Natural Sciences, University of Graz, Austria. He directs the Creative Cognition Lab and is actively involved in several research networks, including the "Complexity of Life" profile area, the "Brain and Behavior" research network, and the "FUTURE EDUCATION" research network at the University of Graz. His research focuses on the cognitive and neural mechanisms underlying creative thinking, with particular emphasis on the role of memory processes, metacognition, and eye movement patterns during creative ideation. Dr. Benedek's work bridges psychological theory with empirical research methods including eye tracking, neuroimaging, and computational modeling of creative processes. His research has important implications for understanding how creative potential develops and how it can be assessed and nurtured in educational and professional contexts. Dr. Benedek's publication record demonstrates a consistent focus on creative cognition across multiple dimensions. His recent work has expanded into emerging areas such as human-AI collaboration for creative tasks, automated assessment of creativity using large language models, and the relationship between physical activity and creative performance. His research shows a strong trajectory toward more ecologically valid methods for studying creativity in real-world contexts, moving beyond traditional laboratory paradigms. Seraphine Puchleitner Anerkennungspreis (PhD Supervision Award), University of Graz, 2021 William-Stern-Preis, German Psychological Society, 2019 Research Prize, University of Graz, 2017 Research Prize (Publication Category), Initiative Gehirnforschung, 2016 Berlyne Award, Division 10, American Psychological Association, 2015 Dr. Benedek has demonstrated strong commitment to mentoring the next generation of researchers, as evidenced by his 2021 PhD Supervision Award. His research has been supported by multiple grants from national and international funding bodies, though specific grant details are not provided in the available information. His professional service includes leadership roles in the Initiative Gehirnforschung Steiermark since 2010 and active membership in several psychological societies across Europe and North America. Dr. Benedek leads the Creative Cognition Lab at the University of Graz, which employs a multidisciplinary approach to studying creative processes. The lab integrates methods from cognitive psychology, neuroscience, and computational modeling to investigate the mechanisms underlying creative thought. Current research projects examine the relationship between eye movements and internal cognitive processes, the development of automated assessment tools for creativity, and the application of creativity research to educational contexts.

Alex Richterمشاهده پروفایل

استاد

• Human-AI Collaboration
• The Future of Work
• Digital Humans
• +۱۰ مورد دیگر

Professor Alex Richter is a Professor of Information Systems at the School of Information Management, Victoria University of Wellington, where he also serves as Director of the Executive MBA program and PhD Director. He leads the Digital Work Lab and edits the Digital Work Diaries. With over 150 refereed publications cited more than 11,500 times, Professor Richter is a leading researcher in the field of Information Systems, recently ranked 285th globally among 18,561 researchers in the Information Systems sub-field on the Top 2% Scientists List. Professor Richter's research focuses on how digital technologies transform work to enhance innovation, productivity, and employee satisfaction. His primary areas of interest include Human-AI Collaboration , Digital Work and Innovation , Value-driven design , and The Future of Work . He explores practical applications of human-AI collaboration with global industry partners, identifying use cases, benefits, risks, and enablers of adoption. His conceptual work emphasizes value-driven, context-aware, and adaptive approaches to create meaningful sociotechnical systems. His recent publications demonstrate a strong trend toward understanding the evolving relationship between humans and AI in workplace settings. Professor Richter's work examines trust in generative AI across organizational departments, the transformation of innovation practices through human-AI collaboration, and the implementation challenges of emerging technologies like augmented reality. His research consistently bridges theoretical frameworks with practical applications, focusing on how organizations can effectively integrate AI while maintaining human-centered values. Top 2% Scientists List (2024), ranking 285th globally among 18,561 researchers in Information Systems 'Innovation in Teaching Award' from the Association for Information Systems (2024) Research Fellow (2022) Multiple best paper awards throughout his career Professor Richter actively supervises numerous PhD students working on human-AI collaboration topics, including Carlos Forero, Chloe Latto, Ghazaleh Moqadam, Hedi Bigham Sohanaki, Jingyu Zheng, Mina Sanabadi, Shafiqul Alam, and Yao Zhang. He has successfully led research projects funded by the European Union, national governments, and organizations across Germany, Switzerland, Denmark, Australia, and the USA. His engaged scholarship approach connects academic research with practical industry applications. As Director of the Digital Work Lab, Professor Richter leads a team exploring the future of work in the digital age. The lab investigates how digital technologies transform work practices, with particular focus on hybrid work environments, visibility in digital workplaces, and human-AI collaboration. Through the Digital Work Diaries initiative, the lab documents and analyzes real-world digital work transformations, providing practical insights for organizations navigating digital change.

• Environmental Policy
• Plant Biosecurity
• Ecosystem Services
• +۴ مورد دیگر

Clive Potter is Professor of Environmental Policy at Imperial College London's Centre for Environmental Policy within the Faculty of Natural Sciences. His interdisciplinary work bridges environmental science and social science to inform government policy, with specific focus on plant biosecurity, ecosystem services, and stakeholder engagement in rural and urban contexts. Professor Potter's research centers on agricultural restructuring and sustainable land use governance in industrialized nations, examining 25+ years of policy evolution and farmer responses to market, policy, and socio-cultural shifts. He investigates policy learning mechanisms and public involvement in environmental risk management, particularly regarding tree disease epidemics like ash dieback, analyzing how historical knowledge and local observations integrate into biosecurity frameworks. His approach combines natural science collaborations with social survey methodologies across UK and EU contexts. Recent publications (2021-2024) reveal intensifying focus on urban forestry dynamics during crises (including COVID-19), socio-ecological art-science collaborations, and policy innovations for landscape-scale conservation. Key trends include systematic analysis of tree pest impacts in cities, integration of public health co-benefits in climate policy, and novel stakeholder engagement methods using digital tools. His work increasingly addresses equity dimensions in environmental governance and the role of diverse knowledge systems in managing complex socio-ecological risks.

Andrew Thomas Campbellمشاهده پروفایل

استاد

• Ubiquitous Computing
• Machine Learning
• Human-Computer Interaction
• +۳ مورد دیگر

Andrew Thomas Campbell is a Professor and Albert Bradley 1915 Third Century Professor in the Department of Computer Science at Dartmouth College. His research focuses on ubiquitous computing, machine learning, and mental health, particularly using mobile and wearable sensors to assess and manage mental illnesses. He leads the StudentLife project, which tracks college students' mental health over four years, and co-directs the HealthX Lab. Campbell's work has received prestigious awards, including the ACM UbiComp 10-Year Impact Award for pioneering mobile sensing in mental health. He previously held tenure as an Associate Professor at Columbia University and has industry experience at Google and Verily. His research spans $42M in grants from NIH, NSF, and corporate partners, emphasizing technology-driven solutions for mental health challenges. Education: B.Sc. from Aston University, M.Sc. from City University, Ph.D. from Lancaster University. He teaches CS 1 Introduction to Programming and mentors numerous students. Awards include the Dean of the Faculty Award for Mentoring (2025) and multiple ACM Test of Time Awards. His lab collaborations involve跨学科 teams addressing mental health through AI and sensing technologies.

Sergio Agnoliمشاهده پروفایل

دانشیار

• Creative Thinking
• Cognitive Psychology
• Neuroscience of Creativity
• +۲ مورد دیگر

Sergio Agnoli is Associate Professor of General Psychology at the Department of Life Sciences, University of Trieste. He serves as Director of the Dynamics of Creativity Lab (DoC Lab) and Co-Coordinator of the Doctoral Course in Neuroscience and Cognitive Sciences. Academic Affiliation: University of Trieste Research Institutions: Marconi Institute for Creativity (Senior Scientist) Editorial Roles: Associate Editor of Journal of Creative Behavior and Possibility Studies & Society His research focuses on the cognitive, emotional, and neurophysiological substrates of creative thinking . Key methodologies include EEG for temporal brain dynamics, eye-tracking for attentional mechanisms, and neurofeedback/tDCS for causal brain-behavior investigations. Current projects examine contextual inspiration, creative frustration dynamics, and multidimensional creativity models. Recent publications highlight advancements in: Neurophysiological prediction of creative originality via EEG alpha power Emotional intelligence in creative resilience Contextual modulation of idea generation Theoretical frameworks integrating cognitive-emotional factors Eye-tracking analysis of attentional filtering in creativity Awarded the Gabriele Di Stefano Prize (Italian Psychology Association) and featured on NeuroImage cover (Vol. 207). Active in international societies including ISSCI, SfNC, and PSN. Current research involves European FP7 and Italian PRIN projects, with interdisciplinary collaborations across neuroscience, psychology, and education. The DoC Lab maintains partnerships with institutions in Bologna, Graz, Penn State, London, Padua, and Georgetown.

• structural change
• high value agriculture
• industrial policy
• +۶ مورد دیگر

Christopher Cramer is a Professor in the Department of Development Studies at SOAS University of London. He joined SOAS part-time in 1993 and full-time in 1996 after teaching in Cambridge and Maputo, Mozambique. He has served as Head of the Department of Development Studies and is currently Co-Director of the Development Leadership Dialogue (DLD) at SOAS. He designed and launched the MSc Violence, Conflict and Development, which marked its 25th year in 2025. Cramer earned his PhD in Economics from the University of Cambridge in 1994 with a thesis titled The Political Economy of War in Angola and Mozambique . Before joining SOAS, he worked for the Economist Intelligence Unit (EIU) and the Macroeconomic Research Group (MERG) in South Africa during its democratic transition. Professor Cramer's research focuses on structural change, high value agriculture, industrial policy, development strategy, extreme deprivation, war to peace transitions, and labor in value chains. His work primarily draws on field research in Southern Africa and Ethiopia, with additional projects in Colombia and Brazil. He has made significant contributions to understanding the political economy of violence and conflict in developing countries, challenging conventional wisdoms about economic performance in African contexts. His recent work has increasingly focused on high-value agricultural exports as pathways to structural transformation, particularly examining how classification systems affect production processes. His recent publications show a strong emphasis on African economic development, with particular attention to labor conditions in global value chains and innovative approaches to measuring extreme deprivation. Cramer's work often challenges mainstream development economics frameworks, especially through his critiques of the Lewis Model, while developing practical tools like the Extreme Deprivation Index for poverty measurement in rural contexts. Editorial Board Member, Journal of Southern African Studies (1996-present) Fellow of the Academy of Social Sciences (2016) Visiting Professor at University of Johannesburg (2020) Professor Cramer has supervised numerous PhD students working on diverse topics including coffee policy in Ethiopia, non-state security actors in Nigeria, rural labor regimes in Sudan, and labor retention in Ethiopia's apparel industry. He designed and launched the pioneering MSc Violence, Conflict and Development program at SOAS, which celebrated its 25th anniversary in 2025. In 2025, he also started the innovative module Structural Change and Economic Development in Africa (SCEDA), co-designed with the Mandela School of Public Governance in South Africa, taught synchronously to cohorts at both institutions. As Co-Director of the Development Leadership Dialogue (DLD), Cramer leads an institute focused on understanding the political economy of development. He has served on various committees including the Royal African Society (as former Vice Chair), the University of London's Centre of African Studies (as former Chair), and SOAS committees including the Honorary Degrees Committee and the project board for the Paul Webley Wing construction project.

• Natural Language Processing
• Large Language Models
• Social Media Analysis
• +۷ مورد دیگر

Stuart E. Middleton is a Professor in the Electronics and Computer Science (ECS) department at the University of Southampton, where he has been employed since 2003. His research bridges artificial intelligence with practical applications in social science, mental health, and security domains. He leads multiple research projects funded by DTP and CISDnS CDT, focusing on multimodal natural language processing and large language models for social good applications. Professor Middleton's research interests center on Natural Language Processing, Large Language Models, and Human-in-the-loop AI systems. His work spans mental health applications (particularly suicide risk detection and mood change analysis), social media analysis for crisis mapping, geoparsing for location extraction, and argument mining in political discourse. He has developed numerous open-source NLP projects and datasets including CPIQA for climate science, ConversationMoC for mental health monitoring, and M-Arg for multimodal argument mining. His research demonstrates how AI can effectively support human decision-making in critical domains like mental healthcare, defense applications, and crisis management. His recent publications reveal a strong trend toward applying LLMs to high-impact societal challenges, particularly in mental health monitoring and climate science verification. He has pioneered methods for detecting suicidal ideation in social media, identifying moments of mood change, and developing context-aware question answering for climate papers. His work consistently emphasizes the importance of human oversight in AI systems, with numerous publications on responsible AI, regulation, and human-in-the-loop approaches. Ranked 1st in ECAL-2024 shared task on suicidal ideation detection Ranked 1st in NAACL-2022 shared task on suicide risk and mood change classification Winner of 'best paper' award at WWW2002 Semantic Web Workshop Professor Middleton actively supervises PhD students through multiple funded projects including 'Multimodal Natural Language Processing for Computational Social Science', 'Large Language Models for Military Veteran Mental Health', and 'Large Language Models for Human/AI Information Foraging to Combat Digital Human Trafficking into Terrorism'. He has secured significant funding from UKRI, DSTL, and other sources to support his research in responsible AI applications. He organizes major workshops including the RAI UK Workshops on Responsible AI for Mental Health and AIUK workshops on AI for Data Rescue and Defense applications. His research group maintains numerous GitHub repositories with open-source NLP tools and datasets that have been widely adopted by the research community.

Steven P. Dowمشاهده پروفایل

استاد

• Social Computing
• Human-Computer Interaction
• Collective Intelligence
• +۴ مورد دیگر

Steven P. Dow is a Professor at the University of California San Diego leading the ProtoLab, which investigates collective intelligence, creativity, and decision-making through social computing and human-centered design. His work develops systems leveraging LLMs, crowdsourcing, and visualization to scaffold problem-solving for individuals and communities. His research spans Social Computing , Human-Computer Interaction , and Participatory Design , focusing on cognitive/social aspects of collaborative processes. Key areas include AI-augmented creativity tools, value-centered civic engagement frameworks, and metadata-driven collective ideation systems that bridge technical and cultural dimensions of design. 2025 publications reveal a strong trend toward LLM-crowd integration for creative workflows, with work appearing at UIST and Collective Intelligence conferences. Research emphasizes inclusive idea convergence in civic contexts and dynamic exploration in design processes using forward-backward propagation techniques. Prof. Dow actively mentors students, with advisees like Sangho Suh and Nancy Qiu leading publications on AI storyboarding and self-reflective crowds. His ProtoLab drives projects including community-driven design environments and context-aware exploratory search systems. The ProtoLab serves as an interdisciplinary hub developing socio-technical systems for community co-design, leveraging ubiquitous devices and mixed-initiative interfaces to transform how teams solve complex problems through emergent scaffolding and value-centered frameworks.