جست‌وجوی استاد و پژوهشگر

Jeremy Blackburnمشاهده پروفایل

دانشیار

• Data Science
• Social Media Analysis
• Hate Speech Detection
• +۳ مورد دیگر

Jeremy Blackburn is an Associate Professor at Binghamton University's School of Computing, where he joined in fall 2019. His research focuses on data science, large-scale measurements, and modeling of toxic online behavior, hate speech, and extremist web communities, with significant media coverage from The Washington Post, New York Times, and BBC. Education: PhD, University of South Florida MSc, University of South Florida BSc, University of South Florida Dr. Blackburn's work centers on computational analysis of social dynamics , specializing in fringe online communities and cyber social threats . His methodology combines large-scale data collection with advanced modeling to dissect hate speech evolution, platform migration effects, and disinformation campaigns. Key contributions include developing detection frameworks for coordinated aggression and analyzing ideological spaces across platforms like Reddit, Telegram, and Rumble. Recent publications (2023-2025) reveal expanding research into adaptive hate speech detection systems, LLM capabilities for counterfactual reasoning, and cross-platform extremism analysis. His work increasingly integrates vision-language models while maintaining focus on real-world applications for content moderation, with growing attention to emerging platforms like Lemmy and Rumble's podcast ecosystem. Scientific Awards: No major scientific awards were explicitly documented in source materials Dr. Blackburn secured two significant NSF SaTC grants: (1) a 2023 Medium grant for iDRAMA.cloud (measuring information manipulation), and (2) a 2021 Small grant for detecting influence campaign accounts. While specific advisees aren't listed, his active research profile suggests graduate student mentorship in data science and cybersecurity projects. His research infrastructure includes the Social Media Analysis Toolkit (SMAT) and datasets like pushshift reddit/telegram collections, supporting collaborative work on cyber social threats through his lab environment focused on computational social science and security.

Emrah Akyolمشاهده پروفایل

دانشیار

• Game Theory
• Communications
• Control Systems
• +۳ مورد دیگر

Emrah Akyol is an Associate Professor in the Electrical and Computer Engineering Department at Binghamton University (SUNY). He joined in 2017 after postdoctoral research at the University of Illinois at Urbana-Champaign (UIUC) and the University of Southern California (USC). He holds a PhD from UC Santa Barbara (2011) and prior industry experience at HP and NTT Docomo. Education: PhD in Electrical and Computer Engineering, UC Santa Barbara (2011) Postdoctoral Researcher at USC (2013–2014) and UIUC (2014–2017) Research: Focuses on game theory, control systems, and secure cyber-physical systems. Key areas include strategic communication, opinion dynamics in social networks, and stealthy attacks in multi-agent systems. Recent work addresses bounded rationality in data gathering and network topology inference. Awards: NSF Career Award (communication over human networks), Binghamton's Interdisciplinary Collaboration Award (with Economics/Political Science), and CoCo Seed Grant (CPS security). Advising & Grants: Supervised PhD/Master’s students Anju Anand, Xilin Zhang, and Griffin Rule (recipient of ECE MS Research Award). Active grants include NSF Career and CoCo Seed. Labs/Teams: Leads research on secure cyber-physical systems and game theory applications. Collaborates with UIUC and organizes conferences like DSAA’20.

Peter Doddsمشاهده پروفایل

استاد

• Complex systems
• Networks
• Contagion
• +۷ مورد دیگر

Peter Dodds is a Professor in the Department of Mathematics and Statistics at the University of Vermont, part of the College of Engineering and Mathematical Sciences. His research focuses on complex systems, networks, and sociotechnical phenomena, with a particular emphasis on analyzing large-scale data from social media, language, and human behavior. Education: Ph.D. in Mathematics from the Massachusetts Institute of Technology (MIT). Research Interests: Complex systems, contagion dynamics, storytelling, happiness studies, and applications of computational methods to social and biological systems. Key Projects: Co-director of the Computational Story Lab, analyzing narratives and collective behavior via Twitter and other platforms. His work bridges disciplines, combining mathematical modeling, data science, and social science to understand phenomena such as viral spread, cultural trends, and public health. Notable contributions include studying emotional arcs in stories, the universality of positivity in language, and the dynamics of social media discourse around issues like climate change and political movements. Recent studies include analyzing sleep patterns in college students using wearable devices and examining the impact of social media on collective attention during crises like the pandemic. His methodologies, such as allotaxonometry and word shift graphs, provide novel tools for comparing complex datasets across domains. Dr. Dodds collaborates extensively with colleagues in computer science, sociology, and environmental science, fostering interdisciplinary approaches to understanding human systems. His lab’s work is often applied to real-world challenges, from improving well-being through wearable tech interventions to mitigating misinformation in online spaces.

• Digital Libraries
• Text Mining
• Cross-Language Retrieval
• +۳ مورد دیگر

Prof. Franciska de Jong is a Full Professor of e-Research for the Humanities at Utrecht University's Department of Languages, Literature and Communication, part of the Faculty of Humanities. She previously served as Executive Director of CLARIN ERIC (2015-2022), the European research infrastructure for language resources, and now acts as a Senior Advisor there. Her research focuses on digital libraries, text mining, cross-language retrieval, and cultural heritage preservation. She holds a PhD in theoretical linguistics and has extensive industry experience at Philips Research (1985-1992). She has held leadership roles in national organizations including the Netherlands Organization for Scientific Research (NWO) and the National Library of the Netherlands (KB), and currently chairs the NWO Advisory Committee for Digitalization Research. She is leading the Horizon Europe project EOSC Focus, addressing sustainability of the European Open Science Cloud. Her work spans interdisciplinary collaboration, policy development, and infrastructure governance in digital humanities and computational social sciences. Education: Dutch Language & Literature (Utrecht University), PhD in Theoretical Linguistics. Key Roles: Board member of Netherlands eScience Center (2014–2023), Chair of Lorentz Center's Computational Science Advisory Board (2016–2021), Steering Board member of Open Science-NL (2023–present). Activities: Organized CLARIN Annual Conferences (2016–2019), Digital Humanities conferences, and workshops on parliamentary data analysis.

Soojong Kimمشاهده پروفایل

استادیار

• Computational Social Science
• Health Communication
• Algorithmic Bias
• +۵ مورد دیگر

Soojong Kim is an Assistant Professor in the Department of Communication at the University of California, Davis. He is affiliated with the Computational Communication Lab and the Computational Social Science Designated Emphasis program. Previously, he held a postdoctoral fellowship at Stanford University and earned his PhD from the Annenberg School for Communication at the University of Pennsylvania. His research focuses on computational methods to study societal inequality, algorithmic bias, and health communication. He currently serves as Secretary of the Computational Methods Division of the International Communication Association (ICA) and organizes the ICA Hackathon. Kim’s research explores how technology impacts social equity, including AI-driven inequality, misinformation ecosystems, and health discourse. His work has been published in journals like International Journal of Human-Computer Studies , Health Psychology , and Proceedings of the ACM on Human-Computer Interaction . Recent projects analyze AI’s role in perpetuating bias, the emotional drivers of social media engagement (e.g., 'rage bait' vs. informational content), and computational methods to predict and counteract health misinformation. He collaborates with scholars globally, including on studies of vaccine sentiment analysis, racial disparities in algorithmic perception, and public health interventions. His team includes graduate and undergraduate students at UC Davis and international partners. Kim’s work bridges computational tools with sociological inquiry, emphasizing ethical technology design and equitable digital practices.

Lukas Fesenfeldمشاهده پروفایل

پژوهشگر

• Environmental Governance
• Political Economy
• Climate Change Mitigation
• +۴ مورد دیگر

Lukas Fesenfeld is an environmental governance and political economy researcher at ETH Zurich and a lecturer at the Oeschger Centre for Climate Change Research and the Policy Analysis and Environmental Governance group at the University of Bern. His interdisciplinary work focuses on identifying drivers and outcomes of transformative processes in environmental policies, particularly in energy and agri-food systems, to accelerate biodiversity protection and climate change mitigation. His research interests span the political economy of climate policy, food system transformation, and the interplay between policy, behavioral, and technological changes in socio-technical systems. Fesenfeld employs innovative mixed-method approaches combining quantitative and qualitative techniques including surveys, field experiments, advanced econometrics, and machine learning to understand complex feedback dynamics in sustainability transitions. His work has been published in leading journals including Nature Climate Change, Nature Food, and Global Environmental Change, addressing critical issues like the political feasibility of transformative climate policies and the governance of food system transformation. His research has identified key levers for systemic change rather than incremental improvements in food systems, with particular focus on meat consumption and food waste reduction. Theodor Kocher Prize (50,000 CHF) from the University of Bern SNIS Award 2021 for best PhD thesis on International Studies PhD scholarship by the Heinrich Böll Foundation Multiple competitive research grants totaling over EUR 1.7 million as principal investigator Fesenfeld has supervised over ten Bachelor's theses and eight Master's theses while teaching diverse courses on environmental governance, political economy, and climate policy. He actively engages with the science-policy interface through collaborations with NGOs, public administration, and participation in global policy assessment reports. His founding of the NAHhaft Institute for Sustainable Food Strategies demonstrates his commitment to translating research into practical solutions for food system transformation.

• Cognitive Neuroscience
• Inner Speech
• Auditory Verbal Hallucinations
• +۶ مورد دیگر

Dr Bo Yao is a Senior Lecturer at Lancaster University's Department of Psychology, Fylde College. His research focuses on the cognitive neuroscience of language and inner speech, exploring neural mechanisms underlying inner speech's role in cognition and mental health. He employs methods like EEG, fMRI, eye tracking, and computational modeling. Yao supervises 4 postgraduate students and leads the Language, Inner Speech, and Neuroscience (LISN) Lab. Research Interests: Inner speech's neural basis, auditory verbal hallucinations, embodied cognition, and psycholinguistics. Recent work examines rhythmic foundations of thought and emotional processing in language. His 2025 publications highlight innovations in parafoveal preview benefits and predictive coding frameworks. Publications span cognitive neuroscience, psycholinguistics, and neuroimaging, with a focus on reading comprehension, speech processing, and emotional word analysis. His work bridges phenomenological experience with neural mechanisms, using meta-analyses and experimental paradigms. Advising and Labs: Supervises students in language cognition and inner speech research. The LISN Lab develops interdisciplinary approaches to understand language and consciousness.

Damian Trillingمشاهده پروفایل

استاد

• Computational Social Science
• Political Communication
• Digital Journalism
• +۸ مورد دیگر

Prof. Damian Trilling is a Full Professor at the Vrije Universiteit Amsterdam's Faculty of Social Sciences and Humanities in the Department of Communication, and concurrently holds the same rank at the Network Institute. He also serves as a Medewerker (employee) at the Universiteit van Amsterdam and Universitetet i Bergen since February 2024, reflecting his active interdisciplinary and international collaborations. His research focuses on computational methods applied to communication science, particularly exploring how algorithms and digital platforms shape media exposure, political behavior, and information dissemination. Key areas include analyzing selective exposure in recommender systems, measuring ethnic biases in news content, and studying the agenda-setting role of dark platforms. He emphasizes transparency in news algorithms and the ethical implications of data donation frameworks, often employing machine learning techniques like word embeddings and agent-based modeling to address these topics. Trilling's recent articles (2024-2025) reveal a strong focus on understanding algorithmic impacts across media ecosystems. They highlight concerns about filter bubbles, dark platform dynamics, and the interplay between user behavior and platform design. His work bridges communication theory with computer science, offering practical tools such as the INCA infrastructure for automated content analysis and the 3bij3 framework to study recommender systems' effects on news diversity. He teaches courses like Impact van journalistieke producten , Inleiding Media en Journalistiek , and collaborates internationally, as seen in the Introduction to Machine Learning for Text Analysis with Python at GESIS (Mannheim, Germany). His pedagogical contributions complement his research agenda, aiming to equip students with computational skills for modern communication analysis.

Dolores Albarracínمشاهده پروفایل

استاد

• Attitudes and Persuasion
• Behavior Change
• Health Communication
• +۷ مورد دیگر

Dolores Albarracín is the Amy Gutmann Penn Integrates Knowledge University Professor at the University of Pennsylvania, where she directs the Social Action Lab and the Communication Science Division at the Annenberg Public Policy Center. Her research bridges social psychology and communication, focusing on how beliefs and attitudes influence socially beneficial behaviors in health, policy, and technology contexts. She holds a Ph.D. in Psychology from the University of Illinois at Urbana-Champaign and has authored over 200 publications. Education Licenciada en Psicologia, Universidad Católica de La Plata (1988) Professor en Letras, Universidad Nacional de La Plata (1990) M.S. in Psychology, University of Illinois at Urbana-Champaign (1997) Ph.D. in Psychology, University of Illinois at Urbana-Champaign (1997) Research Focus Albarracín investigates the psychological mechanisms behind attitude formation, behavior change, and decision-making, with applications in public health campaigns, political communication, and substance abuse prevention. Her work integrates big data analytics with experimental methods to study media effects and technology-driven interventions, emphasizing real-world impact through collaborations with NIH and NSF. Publication Trends Her recent publications (2018-2021) demonstrate a strong focus on belief systems (e.g., conspiracy theories), behavioral prediction models, and health communication strategies during crises. Key themes include vaccination behavior during pandemics, cognitive processes in decision-making, and scalable interventions for social change, often utilizing longitudinal and computational approaches. Awards and Leadership 2018: Award for Outstanding Scientific Contributions to Research on Attitudes and Social Influence 2019: Avant-Garde Award from the National Institute on Drug Abuse for HIV/AIDS research innovation 2020: Diener Award for Mid-Career Contributions in Social Psychology Fellow status in five major psychological societies including APA and APS Former Editor-in-Chief of Psychological Bulletin (2014-2020) Elected President of the Society for Personality and Social Psychology Grants and Laboratories She leads NIH/NSF-funded projects through the Social Action Lab, developing interventions for HIV testing and stigma reduction in Appalachian communities. Current initiatives explore trust in government related to harm reduction policies. Her lab employs mixed-methods approaches to translate basic research into public health solutions.

Elena Lutzمشاهده پروفایل

پژوهشگر ارشد

• Urban Planning
• Urban Economics
• Sustainability Studies
• +۵ مورد دیگر

Elena Lutz is a Research Fellow at the Department of Urban Studies and Planning at MIT and a Ph.D. candidate in Urban Development and City Policy at ETH Zurich. Her research focuses on urban planning, sustainability, and urban economics, using quantitative methods like causal inference and computational urban science to evaluate public policies such as land use and transport regulations. She holds an MSc in Political Economy of Europe (with distinction) from the London School of Economics and a BSc in International Economics from the University of Tübingen, where she specialized in Statistics. She also spent a semester at the University of Hong Kong and has professional experience through internships at the German Central Bank and the German Development Agency (GIZ), as well as part-time work at Ernst & Young. Her research interests include the social and environmental impacts of urban policies, with a particular emphasis on housing affordability, socioeconomic segregation, and sustainable urban densification. She has conducted studies on zoning regulations in Zurich, public transit access in Bogotá, and vertical building extensions as alternatives to urban renewal. Her work also explores low-data contexts in the Global South using smartphone GPS data. Elena’s publications analyze land-use policy effects, gentrification, and intergenerational justice in housing. She has received notable awards, including the Nathaniel Lichtfeld Award for her master’s thesis and the ARES Best Manuscript Award in Housing. She contributes to projects like the MIT Urban Economics Lab and the Co-Creating Mobility Hubs initiative with SBB, ETH Zurich, and EPF Lausanne. Her research bridges academia and practice, addressing pressing urban challenges through interdisciplinary collaboration and innovative data applications. She actively engages in policy discussions and has been featured in media such as the Tagesanzeiger and SRF.

• Data Journalism
• Investigative Journalism
• Freedom of Information
• +۳ مورد دیگر

Fred Vallance-Jones is an Associate Professor and Director of Journalism at the University of King's College. He has been teaching investigative and data journalism since 2007, leading the university's undergraduate and master's programs. His work focuses on freedom of information, data-driven reporting, and media accountability. He coordinates the annual Newspapers Canada Freedom of Information Audit, which evaluates government transparency practices. Education: BJ (Carleton University), MEd (Mount Saint Vincent University). Research Interests: Data journalism methodologies, investigative reporting strategies, and challenges in accessing public records. He emphasizes practical applications of freedom of information laws and trains journalists to navigate bureaucratic obstacles. Awards: 2010 CAJ Investigative Reporting Award (VLT Gambling Project) Micaher Award Finalist National Newspaper Award IRE Award Grants & Advising: Oversees student-led investigative projects that have produced award-winning work. Leads professional development workshops for working journalists. Collaborates with students on annual freedom of information audits. Labs/Teams: Directs the King’s Investigative Workshop, a collaborative environment where students pursue high-impact stories. Coordinates the Newspapers Canada Audit team evaluating government transparency.

• Data Science
• Civic Statistics
• Special Educational Needs and Disabilities (SEND)
• +۳ مورد دیگر

Dr. Rosemary Ridgway is an Associate Professor in the School of Education at Durham University. She holds leadership roles in teacher education programs, including directing the PGCE International Programme based in Geneva. Her work focuses on evidence-based decision making, special educational needs (SEND), statistical literacy, and inclusive pedagogy. She pioneered the ProCivicStat project to integrate data science into citizenship education and has led policy analysis research on teacher education reforms in England. Education Background: Prior to academia, Dr. Ridgway taught in mainstream and special schools across England's North East, gaining experience across Key Stages 1–3. Her career transition included roles in programme development, policy design for Initial Teacher Training (ITT), and undergraduate/graduate education coordination. Research Themes: Her work bridges educational policy and practice, emphasizing: SEN and disability inclusion strategies Statistical literacy as civic empowerment Critical analysis of educational policies Pre-service teacher preparation for diversity Key Contributions: Developed innovative modules like EDUC1531 and EDUC2431 on disability and education Authored foundational texts in SEND pedagogy and statistics education Co-founded the Civic Statistics curriculum framework Advocates for evidence-informed educational practices Future Work: Currently expanding the PGCE International Programme into an online format and advancing data science CPD initiatives for educators globally.

Michael Templetonمشاهده پروفایل

استاد

• Environmental Engineering
• Infectious Diseases
• Public Health Engineering
• +۶ مورد دیگر

Professor Michael Templeton is a leading academic in Public Health Engineering at Imperial College London , affiliated with the Faculty of Engineering and the Department of Civil and Environmental Engineering . He also holds the Royal Academy of Engineering Research Chair in Global Sanitation Technology , working closely with organizations like Oxfam , Water For People , and the International Worm-Based Sanitation Association . His work addresses critical issues in water supply , sanitation , and public health , particularly in regions affected by schistosomiasis and water scarcity . Professor Templeton earned a Bachelor's degree with honours in Engineering Science and a PhD in Civil-Environmental Engineering , both from the University of Toronto . He is a chartered civil engineer , Fellow of the Institution of Civil Engineers , and elected Fellow of the African Academy of Sciences . His professional experience includes advisory roles for the World Health Organization , Ethiopian Federal Ministry of Health , and various research councils. Environmental Engineering : Water treatment Infectious Diseases : Schistosomiasis control Global Health : Sanitation in low-income settings Climate Resilience : Cold region sanitation Waste Valorization : Biochar from faecal sludge Diagnostic Innovation : Biosensors for pathogens His most recent research explores stormwater odorants , UV disinfection , and smartphone-based water quality monitoring . He has also advanced tiger worm toilets and citizen science approaches in data-scarce regions. His work spans 15 countries including Ghana , Sierra Leone , India , and Ethiopia . Scientific awards and honors include: Fellow of the Institution of Civil Engineers Elected Fellow of the African Academy of Sciences Royal Academy of Engineering Research Chair Professor Templeton has no listed students in the provided data but has contributed extensively to sanitation innovation , waterborne disease prevention , and capacity-building in developing nations. He has led field projects and published on vermifiltration systems , biochar production , and disinfection byproducts .

Dominique Brossardمشاهده پروفایل

استاد

• Science Communication
• Media Studies
• Public Opinion Dynamics
• +۵ مورد دیگر

Dominique Brossard is a Professor & Chair in the Department of Life Sciences Communication at the University of Wisconsin-Madison. She holds affiliations with the Robert & Jean Holtz Center for Science and Technology Studies, the Energy Institute, the Global Health Institute, and the Nelson Institute for Environmental Studies. Her work focuses on the intersection of science, media, and policy, particularly addressing public opinion dynamics and cross-cultural analysis of controversial scientific issues. She earned an M.S. in Plant Biotechnology from the Ecole Nationale d’Agronomie de Toulouse and advanced degrees (M.P.S. and Ph.D.) in Communication from Cornell University. Her career includes roles at Accenture and the Agricultural Biotechnology Support Project II, blending corporate strategy with science communication. Brossard’s research emphasizes strategic communication theory, science communication, and risk communication. Her lab, the Science Communication Incubator, explores how societal values shape public attitudes toward emerging technologies like AI and gene editing. She has authored over 100 articles in top journals and served on National Academy of Sciences panels. Notable professional roles include Chair of the NSF’s Social, Behavioral and Economic Sciences Advisory Committee, and current positions on the NASEM Societal Experts Action Network and the Division of Behavioral & Social Sciences & Education. Her awards include Fellowships from the American Association for the Advancement of Science and the International Communication Association. Her recent work examines AI ethics, generative AI’s societal impact, and the role of visual art in science communication. She also investigates how misinformation spreads during crises like the pandemic and the evolving landscape of public trust in science.

• Artificial Intelligence
• Machine Learning
• Complex Networks
• +۴ مورد دیگر

Dr. Shahadat Uddin is a Senior Lecturer at the University of Sydney, holding dual positions in the School of Electrical and Computer Engineering and the School of Project Management within the Faculty of Engineering. He earned a PhD in Data Science (2011) from the University of Sydney, a Master's in Information Systems from Central Queensland University, and a Bachelor's in Computer Science from Bangladesh University of Engineering and Technology. His research focuses on AI, machine learning, and complex networks applied to health informatics and project analytics. Notably, he is recognized in the Stanford-Elsevier list of top 2% global scientists in AI and image processing since 2021. Education: PhD in Data Science, University of Sydney (2011) Masters in Information Systems, Central Queensland University Bachelor in Computer Science and Engineering, Bangladesh University of Engineering and Technology Research Interests: Dr. Uddin's work emphasizes ethical AI, equitable decision-making algorithms, and applications in healthcare and project management. His contributions include predictive models for adverse drug reactions, stakeholder network analysis in projects, and fairness assessment in deployed ML systems. Awards: University of Sydney Strategic Research Fund Award (2024) World's top 2% Scientists in AI & Image Processing (2021–Present) Dean’s Research Award (2014), Research Excellence Award (2010) Advising & Grants: He supervises projects like Tommy Zhou's work on adverse drug reaction prediction. His grants include the 2024 University of Sydney Strategic Research Fund. He also leads projects on predictive analytics and stakeholder engagement in projects. Labs/Teams: Active collaborations with the Sydney Southeast Asia Centre and Charles Perkins Centre on interdisciplinary research.