جستجوی استاد راهنمای دانشگاهی

Seth Freyمشاهده پروفایل

دانشیار

• Computational Social Science
• Governance of Commons
• Complex Systems
• +۵ مورد دیگر

Seth Frey is an Associate Professor in the Department of Communication at the University of California, Davis, with affiliate status at Indiana University's Ostrom Workshop and as Research Director at Metagov. His research focuses on computational social science approaches to understanding self-governance in complex social systems, particularly through the lens of online communities as model institutions. Education: Ph.D. in Cognitive Science and Informatics (complex systems), Indiana University, 2013 B.A. in Cognitive Science, UC Berkeley, 2004 Research Interests: Frey specializes in computational approaches to institutional analysis and the cognitive science of strategic behavior . His work examines how communities design governance systems to overcome collective action problems, with emphasis on: Emergent institutional structures in digital commons Policy-as-data through NLP and institutional grammar frameworks Cognitive mechanisms underlying cooperative behavior Design principles for participatory change in online platforms His methodology integrates large-scale data analysis, web-based experiments, and computational modeling across diverse contexts including Minecraft, Reddit, and professional sports ecosystems. Publication Trends: Recent publications (2023-2025) demonstrate a cohesive trajectory toward computational institutional analysis, with increasing focus on NLP-driven policy analysis (e.g., NLP4Gov), decentralized governance architectures (DAOs, multi-level platform governance), and the cognitive foundations of collective action. His work consistently bridges theoretical institutional analysis with practical applications in digital community design, showing particular growth in translating Ostrom's design principles into computational frameworks. Awards: Honorable Mention Award for Best Paper at ACM CSCW 2019 Advising and Grants: Frey mentors students interested in data science applications at the intersection of communication, cognition, and complex systems, emphasizing resourcefulness and intellectual curiosity. His research has secured substantial funding from: National Science Foundation (NSF) NASA Ford Foundation Google Open Source Foundation He actively encourages aspiring graduate students with strong self-directed research skills to explore computational approaches to social phenomena. Labs and Teams: He leads the Computational Communication Lab at UC Davis and co-directs the Institutional Grammar Research Initiative. Through Metagov, he develops the 'Governance API' framework for modular community governance. His past affiliations include Disney Research (Walt Disney Imagineering) where he applied complexity science to theme park systems, and the New England Complex Systems Institute (NECSI). Current collaborations span Ethereum governance, Minecraft server ecosystems, and Colorado's cannabis monitoring infrastructure.

• Information Retrieval
• Crowdsourcing
• Human-in-the-loop AI
• +۵ مورد دیگر

Dr. Gianluca Demartini is a leading researcher in Human-in-the-loop AI Systems with significant contributions to Crowdsourcing , Information Retrieval , and Generative AI applications. His work bridges Machine Learning and Human-Computer Interaction , focusing on Bias Management , Fact-Checking , and Ethical AI . Major Affiliations : L3S Research Center, ScienceWISE platform, and collaborations with institutions like University of Queensland and University of Padua Over 15 years, his research has explored Crowdsourcing Quality Control (Mechanical Cheat 2012), Entity Ranking (2008-2013), and Semantic Search . Recent work (2024-2026) focuses on Generative AI Impacts in domains like Media Literacy , Data Curation , and Visual Analytics . Scientific Recognition : Best Paper Award (Top 1.4%) at ICTIR 2023 Best Short Paper Award (Top 0.6%) at ECIR 2020 Honorable Mention (Top 2%) at CSCW 2020 Best Demo Award at ISWC 2011 3rd Best Paper at LA-WEB 2008 His 15 most recent publications (2024-2026) demonstrate expertise in LLM-based Content Moderation , Immersive Data Visualization , and Trustworthy AI Systems . He has pioneered methods for Bias Detection in Wikipedia (2013), Entity Ranking (2008-2013), and Human-AI Collaboration frameworks. His work consistently addresses ethical challenges in AI for Social Good and Responsible Data Science .

Pierluigi Perriمشاهده پروفایل

استاد

• Privacy and Data Protection
• Data Governance
• Information Security
• +۴ مورد دیگر

Pierluigi Perri is a Professor of Advanced Computer Law at the University of Milan's Law School and Vice Coordinator of the Information Society Law Center (ISLC). He is also an Affiliate Fellow at Yale Law School and has held roles such as Non-residential Fellow at Stanford Law School’s Center for Internet and Society and Visiting Researcher at Microsoft. His expertise spans privacy law, data governance, cybersecurity, computer crimes, and digital forensics. Perri holds a PhD in Legal Informatics and IT Law from the University of Bologna and a specialization in Legal Informatics and New Technologies Law. Education: PhD in Legal Informatics and IT Law, University of Bologna Specialization in Legal Informatics and New Technologies Law His research focuses on balancing technological advancements with legal safeguards, including data protection compliance, AI ethics, and cybersecurity legislation. Recent work addresses AI-driven hate speech detection, algorithmic transparency, and the ethical use of open-source intelligence (OSINT). Perri has authored two books on data protection and IT law, alongside numerous scientific publications. Perri’s articles analyze legal frameworks for digital crimes, surveillance ethics, and privacy challenges in emerging technologies. His affiliations include leadership roles in interdisciplinary legal-tech initiatives aimed at addressing global cybersecurity and privacy dilemmas. No scientific awards or grants are explicitly mentioned. He is affiliated with the ISLC, fostering collaboration between legal, technical, and policy experts to tackle digital society challenges.

Martin Scheininمشاهده پروفایل

مدرس پاره‌وقت

• International Human Rights Law
• Public International Law
• Comparative Constitutional Law
• +۶ مورد دیگر

Martin Scheinin is a Part-time Professor in the Department of Law at the European University Institute (EUI), where he previously served as full-time Professor of International Law and Human Rights (2008–2020) and Dean of Graduate Studies (2016–2019). He is currently also the British Academy Global Professor at the University of Oxford and a member of the Scientific Committee of the EU Fundamental Rights Agency. He collaborates with the PluriCourts Centre at the University of Oslo on the development of a future World Court of Human Rights. PhD in Law, University of Helsinki (1991) Professor of Constitutional Law, University of Helsinki (1993–1998) Professor of Constitutional and International Law, Åbo Akademi University, Finland (1998–2008) His research focuses on international human rights law, public international law, and comparative constitutional law, with special expertise in human rights in counter-terrorism, digital surveillance, AI, indigenous rights, and climate change. He advocates for a human rights-based approach to global governance and security. His recent scholarly output centers on the intersection of human rights law with emerging technologies and global crises. Themes include digital discrimination, AI and freedom of expression, climate litigation involving indigenous communities, and pandemic response frameworks grounded in human rights. His work bridges doctrinal legal analysis with policy-oriented research. Notable scientific contributions include his role in the landmark Daniel Billy et al. v. Australia case before the UN Human Rights Committee, affirming states’ human rights obligations in climate change contexts. He has also led research on surveillance ethics, counter-terrorism sanctions, and digital rights. UN Human Rights Committee Member (1997–2004) UN Special Rapporteur on human rights and counter-terrorism (2005–2011) British Academy Global Professor (2020–2024) Contributor to Just Security , Verfassungsblog , EJIL: Talk! , Opinio Juris Martin Scheinin has supervised over 30 PhD students at EUI, covering topics such as international criminal law, human rights adjudication, digital rights, and climate justice. His research is supported by institutions including the British Academy and the PluriCourts Centre. He leads the project 'Addressing the Digital Realm through the Grammar of Human Rights Law' (2020–2024). He is actively involved in interdisciplinary research teams focusing on AI and human rights, transnational legal governance, and climate justice. His work with the PluriCourts Centre and the Bonavero Institute of Human Rights at Oxford underscores his engagement with global legal reform initiatives.

• Human-AI Content Moderation
• Data Curation
• Social Media Toxicity
• +۲ مورد دیگر

Libby Hemphill is an Associate Professor at the University of Michigan's School of Information, with additional roles as Research Associate Professor at the Institute for Social Research and faculty appointments in the Digital Studies Institute. She directs the Resource Center for Minority Data and the Social Media Archive at ICPSR. Primary Affiliation: School of Information, University of Michigan Additional Roles: Research Associate Professor (Institute for Social Research), Director of Resource Center for Minority Data and Social Media Archive (ICPSR) Research Focus: Hemphill investigates human-AI collaboration in content moderation, data curation practices, and generative AI applications in social science. Her work addresses systemic challenges in social media toxicity, ethical data reuse, and AI governance. Publication Trends: Recent research spans AI-driven toxicity detection (2024-2025), data curation ethics (2022), and generative AI's societal impacts (2024). She employs computational methods for large-scale experiments and develops frameworks for responsible AI deployment. Labs & Initiatives: Leads the Social Media Archive, a critical resource for social media research, and directs the Resource Center for Minority Data at ICPSR, advancing equitable data practices.

Madeleine De Cock Buningمشاهده پروفایل

دانشگاهی

• Artificial intelligence (AI)
• Digital media
• Digital markets
• +۳ مورد دیگر

Madeleine De Cock Buning is a Part-time Professor of Digital Politics, Economy and Societies at the Florence School of Transnational Governance (STG) at the European University Institute (EUI), serving since June 2018. She chairs the advisory board of the European Digital Media Observatory (EDMO), an STG-led EU-funded initiative addressing online disinformation. Concurrently, she holds a professorship in Copyright Law and Media and Communication Law at Utrecht University (UU) and serves as Vice President Public Policy EMEA at Netflix. Her expertise spans digital governance, AI ethics, media regulation, and copyright law. She previously chaired the European Commission’s High-Level Expert Group on Fake News and Disinformation, the European Regulators Group for Audiovisual Media Services (ERGA), and the Dutch Media Authority’s Board of Commissioners. She has also advised the Dutch Ministry of Security and Justice on copyright matters and served as an Honorary Judge at The Hague Court of Appeal and a WIPO panelist. Research focuses on digital markets, AI policy, media pluralism, and online disinformation. Recent work includes analyzing platform self-regulation, post-COVID AI challenges, and fundamental rights in AI deployment. She leads the ongoing European Digital Media Observatory project and contributed to the 'Digital trade integration - dataset & index' initiative. Her scholarly outputs emphasize interdisciplinary approaches to digital governance, combining legal frameworks with policy analysis. She frequently collaborates with policymakers and industry leaders to shape EU digital policies, reflecting her dual academic and professional roles.

Luis Alberto Barron Cedenoمشاهده پروفایل

دانشیار

• Natural Language Processing
• Information Retrieval
• Machine Learning
• +۷ مورد دیگر

Luis Alberto Barron Cedeno is an Associate Professor at the Department of Interpretation and Translation, University of Bologna since 2022, where he previously served as Senior Assistant Professor from 2019-2022. He holds a PhD in Computer Science from Universitat Politècnica de València (2012) and has worked at Qatar Computing Research Institute (2014-2019) and TALP Research Center (ERCIM fellowship, 2012-2014). PhD: Universitat Politècnica de València (2012) MSc: AI (Universitat Politècnica de València, 2009) MSc: Computing Science (UNAM, 2007) BEng: Computing (UNAM, 2004) His research focuses on NLP applications for analyzing text qualities like originality (plagiarism detection) and intent (hate speech, propaganda). Recent work includes persuasion techniques in spam emails , misogyny detection using argumentation theory, and Spanish language varieties analysis. He has published over 100 papers with 20+ in top-tier conferences. Key awards include SemEval 2020 Best Task for propaganda detection and ACL 2020 Best Demo . He serves as Specialty Chief Editor for Frontiers in Artificial Intelligence (NLP) since 2023. His students include PhD candidates Arianna Muti (misogyny detection), Katerina Korre (hate speech), and Paolo Gajo (inceldom analysis). 2020: SemEval Best Task 2020: ACL Best Demo 2012: PhD International Mention 2009: Best MSc Thesis 2007: MSc Cum Laude 2004: BEng Cum Laude He organizes the annual CheckThat! lab at CLEF since 2018 and chaired CLEF 2022. His teaching includes NLP courses, computational linguistics, and game localization for translation students.

• Privacy and Data Protection
• Cyber Risk Assessment
• Blockchain Security
• +۳ مورد دیگر

Giulia Rafaiani is a Research Fellow and PhD Student at the Department of Information Engineering (DII), Università Politecnica delle Marche. Her work focuses on privacy-preserving technologies, cyber risk assessment frameworks, and blockchain security. She holds a Master’s in Biomedical Engineering (cum laude) and completed her undergraduate studies in the same field at the same institution. Education: Bachelor’s in Biomedical Engineering, Università Politecnica delle Marche (2017) Master’s in Biomedical Engineering, Università Politecnica delle Marche (2020) PhD Student at DII, Università Politecnica delle Marche (2021–present) Research Interests: Blockchain security and decentralized systems Cyber risk quantification and mitigation Data protection in healthcare software Ethical challenges in AI and machine learning Key Projects: “CybeRAMA” Cyber Risk Assessment Project (2020–2021), funded by Cariverona Foundation PhD research on privacy-preserving blockchain applications Lab Affiliation: Department of Information Engineering labs at Università Politecnica delle Marche.

Anna Monrealeمشاهده پروفایل

دانشیار

• Data Analytics
• Data Mining
• Artificial Intelligence
• +۵ مورد دیگر

Anna Monreale is an Associate Professor of Computer Science at the University of Pisa and serves as the Delegate for Masters and Continuing Education. She concurrently holds an Adjunct Professor position at Dalhousie University's Faculty of Computer Science. Her institutional leadership includes vice-coordinating the National Doctorate in Artificial Intelligence for Society and chairing the Internships Committee for the Master's in Data Science & Business Informatics. She earned her Bachelor's and Master's degrees with honors in Computer Science from the University of Pisa in 2007 and completed her PhD there in 2011. Prior to her faculty appointment, she conducted research on European projects from 2011-2014 and has been affiliated with the CNR's Institute of Information Science and Technologies since 2008. Professor Monreale's research centers on ethical AI development, with core expertise in data mining, explainable AI, and privacy-by-design methodologies. Her work bridges technical innovation with societal impact, particularly in healthcare applications, mobility data analysis, and social media systems. She emphasizes transparency and legal compliance in algorithmic decision-making. Her recent publications (2023-2025) reveal a concentrated focus on trustworthy AI frameworks, with significant contributions to federated learning privacy, trajectory data protection, and real-time explainability systems. She actively addresses emerging challenges in content moderation regulation and healthcare AI deployment. As an educator, she teaches Data Mining and Data Science Lab courses while directing major academic initiatives. She leads a PNRR-funded national project and a European research project, with over 90 publications and 3,200+ citations reflecting her scholarly impact. She is a key member of the University of Pisa's KDD Lab and maintains strong ties with CNR research units.

Haewoon Kwakمشاهده پروفایل

دانشیار

• Network Science
• Machine Learning
• Computational Social Science
• +۵ مورد دیگر

Dr. Haewoon Kwak is an Associate Professor at the Luddy School of Informatics, Computing, and Engineering at Indiana University Bloomington. He co-directs the Soda Lab research group with Prof. An, focusing on investigating social phenomena through large-scale data and computational tools to address significant societal challenges. His research spans multiple interdisciplinary fields including network science, machine learning, and computational social science. His work examines online social networks, social media dynamics, game analytics, computational journalism, and human-computer interaction. His research has been widely recognized, most notably for the highly cited paper 'What is Twitter, a social network or news media?' (WWW 2010) which has received over 9,500 citations. Dr. Kwak's research portfolio demonstrates consistent innovation across multiple domains. His recent publications show a strong focus on computational journalism, deep learning applications for media analysis, and understanding toxic behavior in online spaces. His work often bridges theoretical insights with practical applications for understanding information flow and social dynamics in digital environments. Outstanding PhD thesis award in Computer Science Department, KAIST Best paper award at IMC '07 for 'I Tube, You Tube, Everybody Tubes' Best paper award at SocInfo 2019 for 'Gender and Racial Diversity in Commercial Brands' Advertising Images on Social Media' Highly cited paper 'What is Twitter, a social network or news media?' (WWW 2010) with over 9,500 citations Dr. Kwak has served on program committees for major computer science and computational social science conferences. His work has been featured in prominent media outlets including Nature News, ACM Tech News, BBC, The Times, The Economist, Slate, and Scientific American. His Soda Lab at Indiana University continues to produce influential research at the intersection of computing and social science.

• Artificial Intelligence
• Computational Social Science
• Misinformation and Disinformation
• +۵ مورد دیگر

Francesco Pierri is an Assistant Professor in the Department of Electronics, Information and Bioengineering (DEIB) at Politecnico di Milano. He is affiliated with Indiana University Bloomington’s Observatory on Social Media (OSOME) and was previously a Visiting Scholar at the University of Southern California’s Information Sciences Institute. Research Focus: His work sits at the intersection of Artificial Intelligence and Computational Social Science, specializing in building trustworthy and safe AI systems. He employs data-driven computer and network science methods to investigate large-scale online phenomena, particularly how generative AI reshapes digital information ecosystems. Core research themes include mitigating AI-amplified misinformation/disinformation risks and developing frameworks to enhance platform safety, accountability, and integrity. Publication Trends: Recent work (2024-2025) reveals intense focus on societal impacts of generative AI, including conspiracy theory propagation on TikTok, AI’s role in information disorders, cultural bias in language models, and hate speech dynamics in political discourse. Key methodological threads involve network analysis, behavioral experiments with LLMs, and computational epidemiology models linking misinformation to real-world harm. Scientific Recognition: National Scientific Habilitation in 09/H1 – Sistemi di Elaborazione delle Informazioni (II Fascia) (March 2025) Academic Service & Mentoring: Pierri actively mentors Master’s students at Politecnico di Milano in LLM applications, social media integrity, and computational social science. He serves on program committees for premier conferences (ICWSM 2022-2025, The Web Conference 2024-2025, CIKM 2022-2025) and co-organizes specialized workshops like CySoc and RisksGenAI. His editorial roles include Associate Editor for EPJ Data Science and PLoS One, plus Guest Editor for ACM Transactions on Intelligent Systems and Technology special issues. Research Infrastructure: He operates within Politecnico di Milano’s Data Science Lab (DEIB) while maintaining active collaboration with OSOME. Pierri coordinates the Lake Como School of Advanced Studies’ Ph.D. program on Computational Social Science and co-leads the XJTU-Polimi Joint School of Design and Innovation’s data science curriculum.

Kaicheng Yangمشاهده پروفایل

پژوهشگر

• Computational Social Science
• Social Bots
• Misinformation
• +۴ مورد دیگر

Kaicheng Yang is a postdoctoral researcher at Northeastern University , with an upcoming transition to Assistant Professor in the Department of Computer Science at Binghamton University in Fall 2025. His work bridges computational social science, AI ethics, and platform governance. Education: Ph.D. in Informatics from Luddy School of Informatics, Computing, and Engineering , Indiana University Bloomington His research investigates malicious information manipulation through social bots, algorithmic biases, and generative AI misuse, developing countermeasures for trustworthy online ecosystems. Recent publications explore domain-sharing patterns , news source credibility , and AI-generated social media fraud across journals like Scientific Data , PNAS , and Journal of Online Trust and Safety . Awarded Best Paper - Honorable Mention at the International AAAI Conference on Web and Social Media, Yang also contributes to open-source tools such as the LLM Domain Classification dashboard and Botometer X. His work has received media coverage from Wired , Forbes , and MIT Technology Review .

Siqi Wuمشاهده پروفایل

استادیار

• Computational Social Science
• Web Data Analysis
• Social Media Research
• +۷ مورد دیگر

Siqi Wu is an Assistant Professor of Information and Library Science in the Luddy School of Informatics, Computing, and Engineering at Indiana University Bloomington. Previously, they were a postdoc research fellow in the Center for Social Media Responsibility at the University of Michigan School of Information. Dr. Wu is a computational social scientist who collects, models, and analyzes web data at scale, with research focusing on understanding social phenomena through large-scale empirical measurements and designing next-generation sociotechnical systems via data-driven policies and interventions. Dr. Wu's educational background includes: Ph.D. in Computer Science from the Australian National University M.S. in Information Technology from the University of Melbourne B.E. in Electronics Engineering from Tianjin University Dr. Wu's research spans computational social science, large-scale web data analysis, and social media systems. Their work examines YouTube recommendation networks, Twitter data analysis, prevalence estimation techniques, and cross-platform attention dynamics. Recent projects investigate user control over recommendations, harmful content detection, and cross-partisan communication patterns, combining computational methods with social science theories to understand algorithmic influence on online experiences and develop practical interventions. Dr. Wu's publications demonstrate consistent excellence in social media analysis, with particular expertise in measuring attention dynamics across platforms, estimating class prevalence using black box classifiers, and understanding recommendation systems. Their work bridges technical innovation with social science questions, resulting in practical implications for platform design and policy across YouTube, Twitter, and other social media ecosystems. Notable recognitions include: Google PhD Fellowship (2018) ICWSM Best SPC (2022-2024) CSCW 2019 Best Paper Honorable Mention (top 5%) ICWSM 2021 Spotlight Paper selection (top 8) Dr. Wu actively mentors students interested in computational social science, seeking those with strong programming skills, data analysis experience, and passion for understanding social phenomena through computational methods. They serve on program committees for ICWSM, CSCW, and CHI, and their research has practical applications for social media platform design, content moderation policies, and understanding information ecosystems. Dr. Wu has developed several software tools including pyquantifier for prevalence estimation and tools for Twitter and YouTube data collection. Dr. Wu leads research on social media analysis with focus on YouTube and Twitter ecosystems, developing methods to understand recommendation systems, user engagement patterns, and cross-platform dynamics. Their work involves collecting and analyzing large-scale datasets to inform platform design and policy decisions related to algorithmic transparency and user control.

• Constitutional Law
• Digital Rights and Internet Regulation
• Freedom of Expression
• +۴ مورد دیگر

Maria Esmeralda Bucalo serves as Associate Professor of Jurisprudence (GIUR-05/A) at the Department of Law, Università degli Studi di Palermo. Her office is located at Via Maqueda, 172 - 2nd floor - room no. 59, with regular Friday office hours from 9:00 to 11:00 by reservation. She actively coordinates academic activities including study visits to London for Master's Degree in Law students. Professor Bucalo's research focuses on constitutional law, digital rights, and bioethics. Her recent scholarship examines constitutional reform of Articles 9 and 41, AI/deepfakes regulation, freedom of expression in digital spaces, euthanasia jurisprudence (particularly the Mortier v. Belgium case), and soft law governance. Her work demonstrates strong engagement with European Court of Human Rights jurisprudence and comparative analysis of Italian and international legal frameworks. Analysis of her 15 most recent publications reveals three dominant research threads: (1) Constitutional evolution in digital contexts (60% of works), particularly addressing AI regulation and platform governance; (2) End-of-life legislation and bioethics (25%), with emphasis on European human rights standards; (3) Historical analysis of constitutional gender equality provisions (15%). Her scholarship consistently bridges doctrinal analysis with contemporary social challenges, showing particular expertise in reconciling traditional constitutional principles with emerging technological realities. Professor Bucalo actively supervises student activities including study abroad programs and coordinates remedial classes in Constitutional Law and Fundamental Freedoms for the Corporate Legal Consultant Degree Program. Her teaching schedule reflects regular engagement with both undergraduate and graduate law students at UniPa.

Enrico Corradiniمشاهده پروفایل

پژوهشگر

• Information Systems
• Cybersecurity
• Social Network Analysis
• +۵ مورد دیگر

Enrico Corradini is a Researcher at the Department of Information Engineering , School of Engineering, Università Politecnica delle Marche (UNIVPM), Italy. His work focuses on information systems, cybersecurity, and social network analysis using network theory and machine learning approaches. Academic Rank: Researcher Research Focus: Cybersecurity, Social Network Analysis, Machine Learning, Network Theory Contact: e.corradini@univpm.it His recent publications demonstrate expertise in anomaly detection for Internet of Everything ecosystems, multilayer network modeling, and social platform analysis. Office hours available every Tuesday 10:30-12:30 at UNIVPM campus.