جست‌وجوی استاد و پژوهشگر

• Social Movements
• Urban Studies
• Self-Organization
• +۵ مورد دیگر

Dr. Matthias Möller is a researcher and academic coordinator at the University of Freiburg, currently serving as Scientific Coordinator of the Strategy Network KulturWissen vernetzt since July 2021. He holds a doctorate from the Ludwig Uhland Institute for Empirical Cultural Studies in Tübingen (2012) and has held academic roles including Acting Professor at the Institute for Cultural Anthropology and European Ethnology (2019–2020) and lecturer at University College Freiburg (2015–2018). His work focuses on social movements, urban studies, right-wing extremism, and cooperative housing. Education: Master's degree in Empirical Cultural Studies, Sociology, and Computer Science (2005) Doctorate, Ludwig Uhland Institute for Empirical Cultural Studies, Tübingen (2012) Research Interests: His research explores cultural knowledge networks, self-organization in housing cooperatives (e.g., Freidorf), right-wing populism, and urban-rural dynamics. Key projects include GrundRisse – A Neighborhood in Transition (2019–2021) and the Work is Work project (2017–2019). He has authored monographs like Living in Cooperation (2015) and co-edited volumes on housing and social movements. Teaching & Grants: Recent courses include seminars on urban-rural representations and cultural anthropology methods. He has received grants from the Hans Böckler Foundation and coordinates interdisciplinary projects linking academia with museums and urban initiatives. Professional Networks: Active in organizations like the German Society for Empirical Cultural Studies and the Société Internationale d'Ethnologie et de Folklore. He organizes conferences on topics like mobility and civil society, and has presented widely on housing cooperatives and political radicalism.

Shahin Jabbariمشاهده پروفایل

استادیار

• Machine Learning
• Algorithmic Fairness
• Game Theory
• +۷ مورد دیگر

Shahin Jabbari is an Assistant Professor in the Computer Science Department at the College of Computing & Informatics, Drexel University, where he is a member of the EconCS research group. His research lies at the intersection of machine learning, game theory, and algorithmic fairness, with a focus on ethical AI and its societal implications. Prior to Drexel, he was a CRCS postdoctoral fellow at Harvard University's School of Engineering and Applied Sciences, hosted by Milind Tambe, and affiliated with the EconCS group. Education: PhD in Computer and Information Science, University of Pennsylvania (2013–2019), advised by Michael Kearns Master's in Computing Science, University of Alberta, advised by Robert Holte and Sandra Zilles Bachelor's in Computer Engineering, Sharif University of Technology His research interests center on machine learning, algorithmic fairness, and game theory, particularly focusing on how AI systems can be designed to be more equitable, interpretable, and robust. He investigates ethical aspects of algorithmic decision-making, aiming to ensure AI technologies contribute positively to society. His work often integrates human behavior modeling and experimental validation, especially in cybersecurity and public health domains. His recent publications span top venues including ICML, NeurIPS, AAAI, AAMAS, PNAS, and TMLR. The research trends show a consistent focus on fairness in AI, explainability, robustness, and strategic interactions in complex systems. Topics include fair influence maximization, adaptive phishing training, cyber deception games, and ethical machine learning frameworks. These works reflect a multidisciplinary approach combining theoretical rigor with real-world applicability. Scientific Awards and Recognitions: Best Paper Finalist, AAMAS 2021 Best Paper, GameSec 2020 Spotlight Presentation, ICML 2021 Best Paper, KI 2012 Shahin Jabbari actively contributes to the academic community through advising, teaching, and service. He teaches graduate courses such as CS 589: Responsible Machine Learning and CS 590: Privacy. He has served on the senior program committees of ICML and NeurIPS, is an Action Editor for TMLR, and has reviewed for numerous top-tier conferences and journals. He mentors students through research projects and invites prospective PhD candidates to apply through Drexel’s formal channels. He is involved in the Drexel Computer Science Theory Reading Group and contributes to advancing responsible AI practices. He is affiliated with the EconCS group at Drexel, which focuses on economic and computational aspects of AI, including game theory, mechanism design, and multi-agent systems. His lab integrates tools from machine learning, behavioral modeling, and optimization to develop AI systems that are not only intelligent but also fair and trustworthy. Future work is expected to further explore human-AI collaboration, ethical AI deployment, and policy-aware algorithm design.

• Data Science
• Concept-Drift Management
• Database Systems
• +۱۲ مورد دیگر

Tania Cerquitelli is a Full Professor in the Department of Control and Computer Science (DAUIN) at Politecnico di Torino, where she leads research in data science, concept-drift management, and inclusive AI technologies. She is a member of SmartData@PoliTO, the GEDI Observatory for Gender Equality, and serves in leadership roles related to social affairs and community policies at the university level. She also acts as a scientific advisor for the partnership with Accenture. Her research interests span Data Science , Concept-Drift Management , Database Systems , Conversational Data Science , and Industry 4.0 . She applies AI and machine learning to industrial, societal, and ethical challenges, particularly in promoting inclusive communication and gender equality in research. The most recent publications highlight her work in explainable AI, concept drift detection, multimodal diagnostics, and AI for social good. Her research integrates machine learning, natural language processing, and computer vision to address real-world problems in manufacturing, healthcare, agriculture, and education. She is an Associate Editor for several prestigious journals including Expert Systems with Applications , Computer Networks , Future Generation Computer Systems , and Knowledge and Information Systems . She has served on the program committees of major conferences such as ECML PKDD, EDBT/ICDT, and ACM KDD, and has been a reviewer and selection committee member for ETH Zurich and EMPA. She actively supervises PhD students and teaches a wide range of courses including Data Science and Database Technologies, Business Intelligence for Big Data, and Gender and Diversity in Research. She is involved in multiple national and international research projects such as E-MIMIC, WEBFARE, and EnABLES, focusing on inclusive AI, smart data, and industrial applications. Her lab affiliations include the DBDM - Database and Data Mining Group (DAUIN) and the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory , where she contributes to advancing data science methodologies and their societal impact.

Eunsuk Kangمشاهده پروفایل

دانشیار

• Software Engineering
• Formal Methods
• Software Design
• +۶ مورد دیگر

Eunsuk Kang is an Associate Professor in the Software and Societal Systems Department at Carnegie Mellon University's School of Computer Science. Their research focuses on the intersection of software engineering and formal methods, emphasizing rigorous modeling and analysis techniques to create safe, secure, and reliable systems. PhD in Computer Science from MIT Postdoctoral scholar at NSF ExCAPE program Former connected vehicles researcher at Toyota Their research interests span software design, requirements engineering, modeling, specification and verification, system safety, security, and cyber-physical systems (CPS). Recent projects explore robustness in evolving environments, specification engineering, automated reasoning for complex systems, and safety/resilience mechanisms in ML-based CPS. Publications highlight advancements in Signal Temporal Logic decomposition, LTL specification learning, and requirement-driven adaptation frameworks. Selected scientific contributions include: tl;dr: Chill, y’all – AI will not devour SE (Onward! Essays 2024): Critical perspective on AI integration in software engineering FairSense (ICSE 2025): Long-term fairness analysis for ML-enabled systems AlloyMax (ESEC/FSE 2021): Relational specification satisfaction techniques As an educator, Kang teaches graduate courses in software design and formal methods, including: 17-423/723: Designing Large-Scale Software Systems 17-614 & 624: Formal Methods 17-445/645: Software Engineering for AI-enabled Systems 17-651: Models of Software Systems Service activities include: Program co-chair for SEAMS 2026 Co-organizer of Dagstuhl Seminar on Specification Engineering Co-organizer of International Workshop on Designing Software Program committee member for ICSE, OOPSLA, ASE, and specialized conferences Notable research collaborations include work with: Ben-hau Chia (PhD student) Parv Kapoor (PhD student) Yiliang (Leo) Liang (PhD student) Sumon Biswas (Postdoc) Rômulo Meira-Góes (Postdoc)

Katherine Twomeyمشاهده پروفایل

مدرس

• Language Development
• Cognitive Development
• Infant and Toddler Learning
• +۳ مورد دیگر

Katherine Twomey is a Lecturer in Language & Communicative Development at the University of Manchester's Division of Psychology, Communication and Human Neuroscience. She holds a PhD from the University of Sussex (2013) focusing on early word learning processes. Her research uses computational and empirical methods to study how infants and toddlers learn language, particularly the influence of environmental stimuli and curiosity-driven exploration. She is affiliated with the Autism@Manchester initiative and the Centre for Robotics and Artificial Intelligence (RAI), contributing to interdisciplinary projects. Key research areas include curiosity mechanisms in early learning, the role of perceived emotions in word acquisition, and telehealth interventions for aphasia. She has received awards such as the Future Research Leaders Fellowship (2016) and has published over 50 peer-reviewed works. Twomey’s work addresses UN Sustainable Development Goal 4 (Quality Education) and 3 (Good Health and Well-being), with projects like the TALES program targeting post-stroke literacy recovery. She actively collaborates with NHS trusts and participates in autism-focused summits, demonstrating commitment to translational research and societal impact. Her research methodologies span experimental psychology, neurocomputational modeling, and longitudinal studies, with datasets archived at the UK Data Service. Twomey is also engaged in public outreach, contributing to media discussions on child language development and autism advocacy.

• Artificial Intelligence
• Natural Language Processing
• AI in Education
• +۳ مورد دیگر

Anna Sotnikova is a Lecturer at the École polytechnique fédérale de Lausanne (EPFL), affiliated with the Natural Language Processing (NLP) Group within the School of Computer and Communication Sciences (IC). She holds a dual role as a Scientific Collaborator (Collaboratrice scientifique) in NLP and a Course Lecturer (Chargée de cours) in the EDIC-ENS unit. Her research focuses on AI ethics, multilingual language models, and the societal implications of NLP systems, particularly in education and bias mitigation. Her work bridges technical advancements in AI with their real-world applications, addressing challenges such as bias propagation in multilingual models and AI's impact on higher education. Recent projects include evaluating ChatGPT's potential to disrupt engineering education and analyzing how LLMs perpetuate human stereotypes across languages. Anna collaborates with institutions like Cornell University and MIT, and her research is supported by funders such as the Swiss National Science Foundation. She teaches advanced courses like Topics in Natural Language Processing and maintains an active presence in EPFL's interdisciplinary research ecosystem.

Mahzarin Banajiمشاهده پروفایل

استاد

• Social Psychology
• Cognitive Science
• Implicit Bias
• +۴ مورد دیگر

Mahzarin Banaji is the Richard Clarke Cabot Professor of Social Ethics in the Department of Psychology at Harvard University. She previously served as the Carol K. Pforzheimer Professor at the Radcliffe Institute for Advanced Study (2002-2008) and as the George A. and Helen Dunham Cowan Chair in Human Dynamics at the Santa Fe Institute (2011-2015). Currently, she also serves as Senior Advisor to the Provost at Harvard University. Banaji is widely recognized as a leading researcher in social psychology, particularly in the field of implicit bias and social cognition. Banaji received her PhD from Ohio State University in 1986 and completed a National Institutes of Health postdoctoral fellowship at the University of Washington in Seattle. She taught at Yale University from 1986 to 2001, where she was the Reuben Post Halleck Professor of Psychology, before joining Harvard University. Professor Banaji's research focuses on the subconscious nature of assessments of self and others in social contexts. She is best known for her pioneering work on implicit bias, particularly through the development of the Implicit Association Test (IAT), which measures unconscious attitudes and beliefs. Her work bridges cognitive science and psychology to understand how implicit biases form, persist, and can potentially be changed. Banaji has demonstrated how these unconscious biases can influence behavior in critical domains including healthcare, education, and law enforcement, often without individuals' awareness. She has also extensively studied how biases change over time, showing that while some implicit biases have decreased significantly (particularly regarding sexual orientation), others remain stubbornly persistent. Banaji has received numerous prestigious awards recognizing her contributions to psychology and social science, including: Election to the National Academy of Sciences (2018) Election as Fellow of the British Academy (2015) William James Fellow Award for lifetime intellectual contributions to psychology Gordon Allport Prize for Intergroup Relations Kurt Lewin Award for outstanding contributions to the integration of psychological research and social action Morton Deutsch Award for Social Justice James McKeen Cattell Award Carol and Ed Diener Award for Outstanding Contributions to Social Psychology Herbert A. Simon Fellow of the American Academy of Political and Social Science Fellow of the American Academy of Arts and Sciences Banaji has advised numerous graduate students and postdoctoral researchers who have gone on to become leaders in social psychology and related fields. She has secured significant research funding to support her work on implicit bias, including grants from the National Science Foundation and the National Institutes of Health. Her research has influenced policy discussions around diversity, equity, and inclusion in educational and organizational settings. Banaji has also been active in translating her research for public understanding through her co-authored book "Blindspot: Hidden Biases of Good People" (2013) with Anthony Greenwald, and through her media series "Outsmarting Human Minds." Professor Banaji leads a vibrant research laboratory focused on implicit social cognition. Her team employs a range of methodologies including behavioral experiments, neuroimaging, computational modeling, and large-scale data analysis to investigate the nature and consequences of implicit bias. Recent work has expanded to examine bias in artificial intelligence systems and how large language models reflect and potentially amplify societal biases. The lab collaborates with researchers across disciplines including computer science, neuroscience, education, and public policy to address the complex challenges of implicit bias in society.

Maria Cristina Ramosمشاهده پروفایل

استادیار

• Computational Social Science
• Network Analysis
• Social Psychology
• +۷ مورد دیگر

Dr. Maria Cristina Ramos is an Assistant Professor at Florida State University, specializing in Computational Social Science. She is affiliated with the Interdisciplinary Social Science program, where her teaching and research focus on applying network science and computational methods to address complex social issues such as health inequalities, reproducibility in science, and social-ecological systems. Ph.D. in Sociology, Duke University M.A. in Sociology, Duke University B.A. in Organizational Psychology, Pontificia Universidad Católica del Ecuador Her research integrates Social Network Analysis, Computational Social Science, and interdisciplinary approaches to study identity structures, sustainable fisheries, and organizational collaboration. She emphasizes reproducibility in social science research and uses data visualization to enhance understanding of societal challenges. Dr. Ramos' recent publications highlight trends in network science applications to moral psychology, environmental policy, and scientific methodology. Her work bridges quantitative and qualitative techniques, contributing to fields like Social Psychology and Marine Policy. Contact: mcr22c@fsu.edu | mc@mariacramos.com | Personal Website

Johannes Bjervaمشاهده پروفایل

استاد

• Natural Language Processing
• Artificial Intelligence
• Linguistic Typology
• +۵ مورد دیگر

Johannes Bjerva is a Full Professor at Aalborg University's Department of Computer Science (Campus Copenhagen), leading the Copenhagen branch and conducting interdisciplinary NLP research integrating linguistic typology. His work focuses on low-resource languages, language model security, and societal AI impact. PhD (University of Groningen, 2017): Thesis on multitask/multilingual lexical modeling M.A. & B.A. in Computational Linguistics (Stockholm University) Research interests span linguistically-informed NLP , language model security , and low-resource language technology . Current projects include the DFF Sapere Aude grant (2025) for language model detection security and the LM2-SEC project (2025–2030). His 2024 ACL paper on embedding inversion security and 2024 EMNLP paper on typological diversity exemplify recent work. Scientific awards include: 2021: Teacher of the Year (AAU Computer Science) 2019: Google Cloud research credits 2022: Carlsberg Semper Ardens (5M DKK) 2024: Novo Nordisk Data Science grant (~10M DKK) Supervision includes 8 PhD students across projects like CreoleVal and HiFi-KPI . He serves on the Industrial Researcher Committee at Innovation Fund Denmark and is a member of Det Unge Akademi (2023–2028).

• Media Psychology
• Human-Computer Interaction
• Immersive Technologies
• +۱۳ مورد دیگر

Sun Joo (Grace) Ahn is a Professor at the Grady College of Journalism and Mass Communication, University of Georgia, where she serves as the founding director of the Center for Advanced Computer-Human Ecosystems (CACHE). Her research focuses on the psychological and behavioral impacts of immersive technologies such as virtual reality, augmented reality, mixed reality, wearables, and AI-driven agents. Her research interests lie at the intersection of media psychology, communication, and human-computer interaction. She investigates how extended and blended realities influence human cognition, emotion, and behavior, with applications in health, environmental communication, and education. Her work emphasizes the multisensory nature of virtual experiences and how they transfer into real-world attitudes and actions. Under her leadership, the Center for Advanced Computer-Human Ecosystems has become a globally recognized hub for cutting-edge research on immersive media. The trends in her research, though specific articles are not listed, consistently explore the psychological mechanisms of user experiences in immersive environments, including presence, embodiment, identity transformation, and behavioral change. Her work often integrates experimental design with real-world applications, leveraging funding from major national institutions. Co-Editor-in-Chief, Media Psychology Dr. Ahn has secured over $12 million in research funding from prestigious agencies including the National Science Foundation, National Institutes of Health, National Oceanic and Atmospheric Administration, and the Environmental Protection Agency. Her leadership in sponsored research has enabled large-scale studies on the societal impact of immersive technologies. She has mentored numerous students and researchers through the CACHE center, though specific advisees are not listed in the provided text. She leads the Center for Advanced Computer-Human Ecosystems (CACHE), a pioneering research lab dedicated to understanding and shaping the future of human experiences in extended and blended realities. The center conducts both laboratory and field studies, focusing on how immersive technologies can be designed to promote positive behavioral and psychological outcomes.

• Urban Morphology
• Sustainable Urban Forms
• Urban Planning Appraisal
• +۱۷ مورد دیگر

Luca D'Acci is an Associate Professor in Sustainable Urban Forms and Evaluations at the Polytechnic of Turin, affiliated with the Interuniversity Department of Territorial Sciences, Planning and Policies (DIST). He holds additional affiliations as a Senior Research Fellow at the University of Portsmouth and as a member of research networks at the University of Birmingham and Erasmus University Rotterdam. His academic journey includes international roles such as Head of Urban Environment at Erasmus University Rotterdam and visiting researcher positions at the University of Oxford, University of Cambridge, and ETH Zurich. Education: MSc in Architecture-Science of Cities, Polytechnic of Turin (2003, cum laude) PhD in Economic Assessments, Polytechnic of Turin (2007) BSc in Mathematics, University of Turin (2007) BSc in Construction Engineering, Polytechnic of Turin (2009, cum laude) Post-PhD in Urbanism, University of Campinas (2010) Anthropology, University of Oxford (2020, 20 credits) Luca D'Acci’s research focuses on urban morphology, urban allometry, isobenefit urbanism, and the socio-economic-environmental impacts of urban form. His work bridges humanistic and quantitative approaches, integrating engineering, architecture, economics, and anthropology. He investigates how urbanicity, urban form, and spatial configuration influence well-being, sustainability, and resilience. His recent publications (2023–2025) reveal a strong trend toward computational modeling and simulation of urban growth, particularly through the lens of isobenefit urbanism —a concept he has pioneered. These works combine cellular automata, agent-based modeling, and morphogenetic frameworks to simulate sustainable urban futures. He also explores fractal patterns in housing markets, the psychology of urban living, and the mental costs of urbanicity. His research spans disciplines including urban science, environmental psychology, urban economics, and complex systems. Scientific Awards and Honors: Fellow, Erasmus Happiness Economics Research Organisation (EHERO), Erasmus University Rotterdam (2022–) Senior Research Fellow, University of Portsmouth (2017–) Fellow, Cluster for Sustainable Cities, University of Portsmouth (2017–2020) Fellow, Urban Morphology Research Group, University of Birmingham (2016–2021) Member, Cambridge Networks Network, University of Cambridge (2016–) Honorary Fellow, University of Birmingham (2016–) Luca D'Acci actively advises PhD students as a member of the Doctoral Collegium for Urban and Regional Development at Politecnico di Torino (2020–2024). He has secured and contributed to significant research grants, including projects funded by the World Bank, Asian Development Bank, European Commission, EPSRC, Lincoln Institute of Land Policy, and University College London (Future Urban Growth Lab). His editorial roles include membership on the boards of PLOS ONE , PLOS Mental Health , and Humanities & Social Sciences Communications . Labs and Research Networks: Future Urban Growth Lab (UCL, 2019–) LEUr Urban Ecology Lab (UFSC, 2022–) URban Evolution Morphology (UReM, 2024–) Erasmus Universiteit Rotterdam (EHERO, 2022–2024) Spatial Intelligence Unit (SPIN Unit), Estonia (2013–) International Society of Biourbanism (2013–)

Anne McAlisterمشاهده پروفایل

استادیار

• Engineering Education
• Engineering Identity
• Sociotechnical Thinking
• +۳ مورد دیگر

Anne McAlister is an Assistant Professor in the First Year Engineering Center at the University of Virginia. Her research focuses on engineering identity, teamwork, and sociotechnical thinking to broaden participation in engineering education. She holds a Ph.D. in Education and M.S. in Systems Engineering from the University of Virginia, and a B.S. in Chemical Engineering from The Ohio State University. Dr. McAlister’s work addresses barriers to success in engineering education and strengthens sociotechnical thinking among first-year students. Her research interests center on understanding and challenging systemic obstacles in engineering education, particularly regarding identity formation and inclusive pedagogies. Key areas include engineering culture’s impact on mental health, interdisciplinary science and engineering integration in K-12 classrooms, and graduate student role identity development. Recent publications explore elements of engineering culture affecting student mental health, inclusive classroom practices in NGSS-aligned curricula, and the multifaceted roles of engineering doctoral students. She teaches ENGR 1010: Engineering Foundations 1, emphasizing foundational skills for first-year engineering students. Dr. McAlister’s work has been published in leading journals like the Journal of Engineering Education and Science Education . Her research methodologies include mixed methods and grounded theory approaches to study identity development and educational equity.

• Complex Systems
• Computational Modeling
• Network Science
• +۷ مورد دیگر

Jorge Louçã is a Full Professor in the Department of Information Science and Technology at ISCTE-IUL, where he has been a faculty member since 2000. He is also an Integrated Researcher at ISTAR-Iscte, the Research Center in Information Sciences, Technologies and Architecture, and leads the research group The Observatorium . He holds a PhD in Computer Science and Artificial Intelligence from Université Paris Dauphine and the University of Lisbon, and completed his Aggregation in Complexity Sciences in 2019. PhD in Computing – University of Lisbon & Université Paris-Dauphine (2000) Master’s in Informatique: Intelligent Systems – Université Paris-Dauphine (1995) Aggregation in Complexity Sciences – ISCTE-IUL (2019) His research centers on computational modeling of social systems, focusing on data-intensive analysis of human communication, knowledge generation in large networks, and the dynamics of complex systems. He founded the Doctoral Program in Complexity Sciences and has been instrumental in advancing the field through international collaborations such as the UNESCO Unitwin network for the Complex Systems Digital Campus and participation in the Conference on Complex Systems (CCS/ECCS). The recent publications highlight a strong interdisciplinary focus, combining network science, data analysis, and social theory. Key themes include the modeling of malaria transmission, information diffusion in social media, structural inequality in education, and the dynamics of opinion and popularity. His work often employs agent-based models, temporal network analysis, and entropy-based measures, reflecting a deep integration of computational and theoretical approaches. Research Methods for Doctorate in Complexity Sciences Advanced Topics in Complexity Sciences Data Science Fundamentals Development for the Internet and Mobile Applications Web Interfaces for Data Management Advanced Network Analysis Jorge Louçã has supervised over a dozen doctoral and master’s students, with completed theses on topics such as malaria modeling, information diffusion, temporal networks, and social inequality. His research has been supported by projects like NESS (Non-Equilibrium Social Science in ICT and Economics), reflecting his leadership in interdisciplinary science. He has held significant academic management roles, including Director of the Department of Information Science and Technology and head of multiple degree programs. His work continues to bridge computer science, social science, and policy, positioning him as a key figure in the global complexity science community.

Martin Hilbertمشاهده پروفایل

استاد

• Digital Technology and Social Change
• Computational Social Science
• Information Theory
• +۷ مورد دیگر

Martin Hilbert is a Professor at the University of California, Davis, jointly affiliated with the Department of Communication and Computer Science. He is a leading scholar in digital technology, algorithmic systems, and computational social science, and chairs the campus’s designated emphasis in Computational Social Science. His work bridges theory and practice, integrating information theory with social science to understand the digital age. Education: Ph.D., Communication, Annenberg School of Communication, University of Southern California, 2012 Ph.D., Economics and Social Sciences, Friedrich-Alexander University Erlangen-Nuremberg, Germany, 2006 Dipl.-Kfm. (Master of Business Administration), Friedrich-Alexander University Erlangen-Nuremberg, Germany, 2003 Professor Hilbert's research focuses on the digital transformation of society, using formal tools from information theory to analyze AI and algorithmic systems. His work spans digital ethics, cognitive biases, and the evolution of communication in networked environments. He is particularly known for his pioneering study on global information capacity and early warnings about algorithmic manipulation in politics. His recent publications reveal a consistent trend of applying information-theoretic frameworks to social and digital phenomena, with a strong emphasis on measuring algorithmic impact, digital inequality, and the interplay between human cognition and automated systems. His work frequently appears in high-impact journals across disciplines, reflecting its interdisciplinary nature. Professor Hilbert has made significant contributions to public policy, having designed the first digital action plan for Latin America and the Caribbean at the United Nations and served as an Economic Affairs Officer for 15 years. His technical assistance has reached over 20 countries and major corporations. He is also an innovator in digital education, with online courses taken by over 100,000 students worldwide. Advising and Grants: Chairs the Designated Emphasis in Computational Social Science at UC Davis Teaches graduate and undergraduate courses in information theory, digital technology, and computational social science Has received research support through academic and policy-oriented grants (specifics not listed) Labs and Teams: He is associated with the Center for Computational Science (C2) and the Center for Science and Society (CSS) at UC Davis, which support interdisciplinary research on digital systems and their societal implications. These centers foster collaboration between computer scientists, social scientists, and policymakers.

Mariela Martins Nolascoمشاهده پروفایل

پژوهشگر

• Computational Spectroscopy
• Deep Eutectic Solvents
• Polymer Structure Dynamics
• +۳ مورد دیگر

Mariela Martins Nolasco is an Assistant Researcher at the Department of Chemistry, University of Aveiro. She specializes in computational spectroscopy, focusing on bridging theoretical and experimental research through combined computational and spectroscopic methods. Her work emphasizes understanding molecular dynamics in materials like deep eutectic solvents, polymers, and luminescent systems. Education: B.Sc. in Chemical Engineering (1999), M.Sc. in Chemistry (2004), Ph.D. in Physical Chemistry (2007), all from University of Aveiro. Research Interests: Computational Spectroscopy, Neutron Scattering, Deep Eutectic Solvents, Polymer Dynamics, Cellulosic Materials. She has led 9 R&D projects (2 national, 7 international) and contributed to 15 others. Notable collaborations include work at ISIS Neutron & Muon Source (UK) and Institut Laue-Langevin (France). Her awards include the 2021 ISIS Impact Award for societal impact in polymer research.