جستجوی استاد راهنمای دانشگاهی

• Computer-Assisted Text Analysis
• Epistemic Wars
• Technoscientific Conflicts
• +۷ مورد دیگر

Giuseppe Tipaldo is an Associate Professor at Politecnico di Torino's Department of Control and Computer Science (DAUIN), with affiliations to the SmartData@PoliTO Big Data and Data Science Laboratory and the DBDM Database and Data Mining Group. His interdisciplinary work bridges Sociology, Science and Technology Studies, and Digital Media Research. Research interests focus on epistemic instability, technoscientific conflicts (anti-vax, pseudoscience, infrastructure opposition), and methodological innovations in Computer-Assisted Text Analysis. He explores intersections between postmodern relativism and contemporary epistemic wars, examining truth negotiation in political decision-making and Gen-AI's impact on research methodologies. Recent publications analyze: 2024: Vaccine hesitancy trust dynamics in Europe 2023: Epistemic authority transitions in social media and science-society relations 2022: Xylella fastidiosa epidemics as epistemic wars and pandemic expert discourses He contributes to editorial boards (Italian Review of Sociology, Sinapsi) and serves on advisory panels for Circular Economy symposia. Teaching spans Master's and Doctoral programs in Management Engineering, Cybersecurity, and Communication Sciences.

• 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 .

Germain Gauthierمشاهده پروفایل

استادیار

• Political Economy
• Public Economics
• Econometrics
• +۷ مورد دیگر

Germain Gauthier is an Assistant Professor at the Department of Social and Political Sciences, Bocconi University. His work bridges economics and political science with a focus on political economy, public economics, and machine learning methods. He develops AI tools for social scientists, particularly for analyzing unstructured data like texts and images. Ph.D. in Economics, Ecole Polytechnique (2018–2023) Postdoctoral Researcher, ETH Zürich (2023) M.Sc. in Analysis and Policy in Economics, Paris School of Economics (2017–2018) M.Sc. in Quantitative Economics, HEC Paris (2013–2017) His research spans two main areas: applied studies on digital technologies' societal consequences (e.g., X's algorithms, #MeToo's impact) and methodological innovations in machine learning for social science data. Recent publications include work on protest dynamics, inequality, and narrative extraction from texts. Key trends in his publications include: Machine learning applications to political and economic analysis Text mining for social science narratives Empirical studies on protest movements and digital governance Algorithmic bias in labor markets Economic policy evaluation using big data He has received significant funding: Swiss National Sciences Foundation Grant (300K CHF, 2023–2026) Swiss National Sciences Foundation Grant (100K CHF, 2020) Laboratoire d’Excellence Ph.D. Grant (2018–2023) He teaches courses on Public Finance (Bocconi) and Text as Data for Social Sciences (LMU München), and has developed open-source software packages like relatio and DeepLatent for text analysis and latent variable modeling.

Simone Paolo Ponzettoمشاهده پروفایل

استادیار

• Knowledge acquisition
• Natural Language Processing
• Semantic Web technologies
• +۵ مورد دیگر

Simone Paolo Ponzetto is an Assistant Professor (Juniorprofessor) at the University of Mannheim since 2013, affiliated with the Research Group Data and Web Science. His research focuses on Semantic Web technologies, Natural Language Processing (NLP), and knowledge acquisition, particularly leveraging collaboratively built resources like Wikipedia. Prior to Mannheim, he held postdoctoral roles at Sapienza University of Rome and research positions at the University of Heidelberg and Stuttgart. His work includes pioneering projects like BabelNet, a multilingual semantic network. Ponzetto earned his PhD in Computational Linguistics from the University of Stuttgart, with interdisciplinary contributions to coreference resolution, semantic relatedness, and ontology learning. Research Interests: Unsupervised/weakly-supervised knowledge extraction Multilingual ontology learning and semantic networks Lexical semantics (word sense disambiguation, semantic similarity) Discourse semantics (coreference resolution, coherence modeling) Professional Contributions: Guest editor for a Artificial Intelligence Journal special issue on AI and Wikipedia Area chair for EMNLP-CoNLL 2012 and EACL 2014 Program committee member for ACL, AAAI, and other top conferences Lab/Team: Active in the Research Group Data and Web Science at Mannheim, advancing AI and NLP applications in collaborative knowledge systems.

Ala Alrababahمشاهده پروفایل

استادیار

• Immigration Studies
• Political Violence
• Refugee Politics
• +۳ مورد دیگر

Dr. Ala Alrababah is an Assistant Professor in the Department of Social and Political Sciences at Bocconi University, with affiliations including the Evidence in Governance and Politics (EGAP) network, Immigration Policy Lab (IPL) at ETH Zurich and Stanford, BAFFI Center on Economics, Finance and Regulation at Bocconi, and the Abdul Latif Jameel Poverty Action Lab (J-PAL). She holds a Ph.D. in Political Science from Stanford University (2021). Her research examines immigration, refugees, and political violence using innovative mixed-methods approaches combining fieldwork with experimental and computational techniques. Primary domains include comparative analysis of migration policies, conflict dynamics in the Middle East, prejudice reduction strategies, and quantitative analysis of political discourse. She maintains active field research programs focused on Syrian refugee communities. Publications demonstrate consistent focus on migration policy impacts, refugee decision-making, and political violence analysis across multiple contexts. Computational methods feature prominently alongside field experiments, with strong methodological contributions to survey research and text analysis. As an active member of international research networks, Dr. Alrababah collaborates on large-scale projects examining refugee integration policies, transitional justice mechanisms, and political behavior in conflict regions. Her work has received international media coverage in outlets including The Economist, Foreign Policy, and BBC Arabic.

Marco Venutiمشاهده پروفایل

پژوهشگر

• Critical Discourse Analysis
• Corpus Linguistics
• Corpus Assisted Discourse Studies
• +۱۲ مورد دیگر

Marco Venuti is a tenured researcher in English Language, Translation, and Linguistics at the Department of Humanities, University of Catania, where he teaches Statistics in Corpus Linguistics and English Linguistics and ESP. He previously held a research position at the University of Naples Federico II from 2006 to 2014. He is a founding member of the Interuniversity Research Center I-LanD (Identity, Language, and Diversity), the Center for Humanistic Computing (CInUm), and the Neurohumanities Research Center at the University of Catania. He serves as the Department's delegate for Digital Humanities and Digital Sociology and is a member of the Departmental Research Committee. His primary research interests include: Critical Discourse Analysis Corpus Assisted Discourse Studies News and Political Discourse Institutional Discourse Social Media in the Public Sphere Language and Gender His recent scholarly work focuses on the discursive construction of social and political events across media and cultures, particularly analyzing news values, identity representation, and evaluative language. His publications reveal a strong methodological consistency in combining corpus linguistics with critical discourse analysis, often in cross-cultural and multilingual contexts, examining topics such as same-sex marriage rulings, EU perception in media, and the linguistic framing of riots and political briefings. He has developed and analyzed major corpora, including the CompWHoB Corpus (White House Press Briefings) and the CorDis Corpus (Iraq War discourse). Scientific contributions and projects include: Principal Investigator (PI) of the interdepartmental research project on online journalism (2020–2024) Departmental PI of the project on Crisis in/of Democracy, focusing on populism and social media Co-development of linguistic corpora for political and media discourse analysis He actively mentors students, supervising theses on discourse analysis, media language, and gender. His research bridges linguistics, sociology, and digital humanities, contributing to both theoretical and applied understandings of language in public and institutional domains.

Stefania Spinaمشاهده پروفایل

استاد

• Corpus Linguistics
• Linguistics
• Glottology
• +۱۲ مورد دیگر

Stefania Spina is a Full Professor of Glottology and Linguistics at the University of Perugia for Foreigners, affiliated with the Department of Italian Language, Literature, and Arts in the World (LILAIM). She has held this position since August 1, 2020, and is actively engaged in research, teaching, and academic leadership. Her work focuses on corpus-based linguistic analysis, particularly in the context of Italian as a second language. Her research interests include corpus linguistics, second language acquisition, learner corpus development, phraseology, discourse analysis of media and academic texts, text complexity assessment, and computational processing of linguistic data. She has created several influential linguistic resources, such as the Perugia Corpus, Corpus of Spoken Italian (CIP), and learner corpora including LOCCLI, COLI, and CELI. She also developed MALT-IT2, a web tool for automated text difficulty classification aligned with CEFR levels. Her recent publications reflect a strong engagement with contemporary language trends, digital humanities, and media discourse. Topics include the lexical impact of AI, metaphor in political journalism, and the evolution of public language. A central theme across her work is the application of corpus methods to understand how language functions in educational, media, and technological contexts. She is the principal investigator of the PRIN 2022 project DICI-A, which aims to build a digital collocation dictionary for Italian L2 learners, in collaboration with computer scientists. Her teaching portfolio includes courses in sociolinguistics of new media, corpus linguistics, and digital humanities. She maintains an active public intellectual presence through her blog (now hosted on Substack) and social media. Email: stefania.spina@unistrapg.it Twitter: @sspina She supervises academic projects and leads research teams but no individual students are named in the provided texts. There are no mentions of scientific awards or grants beyond the PRIN project. She works in digital environments, utilizing tools like Python and AI for linguistic analysis, and contributes to the development of language technologies for education and research.

• Pragmatics
• Corpus Linguistics
• Japanese Language and Literature
• +۱۰ مورد دیگر

Eugenia Diegoli is an Assistant Professor in the Department of Asian and North African Studies at Ca' Foscari University of Venice, where she conducts research on Japanese and Korean language, pragmatics, and computer-mediated discourse. She is currently working on the SELFEE (SELF-Evaluative Emotions in English and Japanese) project. Her research focuses on the linguistic expression of emotions, apologies, politeness, and cross-cultural communication, primarily using corpus-assisted discourse analysis. Her work bridges Japanese and Western linguistic traditions and explores meta-discourses on linguistic correctness, emotional expressions in online spaces, and the semantics of shame and guilt. She has conducted extensive research on apology-like behavior in Japanese digital environments. Her recent publications include a 2025 monograph Online Apologies in Japanese (Brill) and numerous peer-reviewed articles in journals such as Journal of Pragmatics , Language and Cognition , and Intercultural Pragmatics . Her work shows a strong trend in analyzing digital discourse, emotional language, and sociopragmatic variation in Japanese, with increasing cross-linguistic comparisons involving English, French, and Korean. Her scientific awards include the Seal of Excellence for an MSCA post-doctoral fellowship and multiple fellowships such as the Marco Polo and JASSO scholarships. She has also received the Best Doctoral Student Paper Award at ICDP-1 (2022). She has advised and tutored students at the University of Bologna and is actively involved in academic service as a reviewer for several journals, including Journal of Pragmatics and Corpus Pragmatics . She has presented her research at international conferences such as IPRA, ADDA, and Corpora. She has also engaged in public outreach through webinars on Japanese language topics during the European Researchers' Night. She has been a Visiting Research Scholar at Meiji University, Waseda University, and Lancaster University. Her languages include native Italian, C2 Japanese (JLPT N1), and C2 English (IELTS 8.0).

Kevin Mungerمشاهده پروفایل

استادیار

• Computational Social Science
• Political Communication
• Social Media
• +۴ مورد دیگر

Kevin Munger is a Full-time Assistant Professor and holds the Chair of Computational Social Science at the European University Institute (EUI) in Florence. He specializes in studying internet and social media implications for political communication using computational and experimental methods. His research interests include: Digital democracy and American Pragmatism Technological change and society Artificial Intelligence (AI) applications in social science Quantitative methods for digital media analysis Platform governance and internet regulation His work appears in top journals like Nature , American Journal of Political Science , and Journal of Communication , covering themes such as YouTube's political impact, deepfake credibility, and platform policy shifts. Kevin co-founded the Journal of Quantitative Description: Digital Media in 2021 and actively publishes monographs with major university presses like Cambridge University Press.

Luigi Palopoliمشاهده پروفایل

استاد

• Hybrid Systems
• Real-Time Scheduling
• Quality of Service Control
• +۱۲ مورد دیگر

Luigi Palopoli is a Full Professor and Director at the Department of Information Engineering and Computer Science (DISI), University of Trento, Italy. He is also a member of the University Council. His research spans hybrid systems, real-time scheduling, quality of service control, robotics, embedded systems, and cyber-physical systems. His research interests include: Hybrid Systems and Real-Time Scheduling Service and Assistive Robotics for Elderly Support AI Applications in Robotics and Embedded Systems Outlier Detection and Anomaly Explanation Audio Super-Resolution and Signal Processing Biological Network Analysis and Graph Alignment His recent publications reflect a strong interdisciplinary focus, combining AI, robotics, real-time systems, and bioinformatics. Trends show increasing work in explainable AI, assistive technologies, and multimodal learning (e.g., vision transformers for audio). He has made notable contributions to robotic navigation for the elderly, real-time embedded systems, and logic-based outlier detection. Scientific awards include: Outstanding Paper Award at RTAS 2017 He advises students and collaborates widely, especially with Daniele Fontanelli, Luca Abeni, and other researchers in robotics and AI. He maintains an active research group, evidenced by a dedicated YouTube channel for the Embedded Intelligence and Robotic Systems group. He is involved in teaching, including courses on Robot Planning and Real-Time Operating Systems, and participates in AI seminar series. There is no indication of retirement or former status; he is actively engaged in research, teaching, and academic service.

Emilio Russoمشاهده پروفایل

استاد

• Mathematical Finance
• Actuarial Mathematics
• Option Pricing Theory
• +۳ مورد دیگر

Emilio Russo is a Full Professor in the Department of Economics, Statistics and Finance at the University of Calabria, Italy, where he has maintained continuous academic appointments since 2003. His career progression includes teaching assistant positions (2003-2007), Researcher (2007-2015), Associate Professor (2015-2024), and Full Professor (2024-present), with consistent teaching responsibilities in Financial Mathematics and Mathematical Methods for Economics across undergraduate and graduate programs in Economics, Business Administration, and Mathematics. He holds a Degree in Statistics and Actuarial Science (cum laude, 2003) from the University of Calabria, an MPhil from Brunel University (2005), and a PhD in Computational Methods for Economic and Financial Forecasts and Decisions from the University of Bergamo (2006). His research focuses on mathematical finance and actuarial mathematics, particularly option pricing theory, interest rate models, regime-switching frameworks, and insurance policy valuation under stochastic environments. Analysis of his recent publications reveals a dominant trend in developing lattice-based numerical methods for pricing complex financial derivatives and insurance products under multiple risk factors, including fractional Brownian motion, stochastic volatility, and regime-switching dynamics. His work frequently addresses path-dependent features in variable annuities, surrender options, and the impact of exogenous factors on policyholder behavior, with strong emphasis on computational efficiency and model flexibility. Professor Russo serves as Principal Investigator for the PRIN 2022 project "Building resilience to emerging risks in financial and insurance markets" and Task Leader for PNRR 2022's "Age-It" project (Spoke 6, Work Package 5). He actively contributes to academic discourse as a reviewer for Quantitative Finance, Journal of Computational and Applied Mathematics, Scandinavian Actuarial Journal, and other leading publications. He is a core member of the University of Calabria's research group "Metodi quantitativi per l'economia, la finanza ed il management," which specializes in quantitative decision-making models for finance, actuarial science, industrial economics, and logistics using mathematical programming, econometric techniques, and statistical methods.

• Corpus Linguistics
• Computer-Assisted Discourse Analysis
• Rhetoric and Metaphor-Based Argumentation
• +۷ مورد دیگر

Michela Tonti is a researcher specializing in French linguistics at the University of Bergamo, with extensive expertise in corpus linguistics, computer-assisted discourse analysis, and legal terminology. Her academic journey includes a PhD in Translation, Interpreting, and Intercultural Studies from the University of Bologna (2019), where she focused on brand names in everyday discourse. Her research interests span multiple interconnected domains including corpus linguistics, computer-assisted discourse analysis, rhetoric and metaphor-based argumentation, referential semantics, commercial onomastics, and terminology studies with particular emphasis on neonymy in European law, accounting, and gender equality. Since 2020, she has expanded her work into neural translation through significant European projects. Tonti's publication record demonstrates consistent evolution from traditional linguistic analysis toward cutting-edge AI applications in language processing. Her recent work (2023-2025) shows increasing focus on the intersection of artificial intelligence and inclusive language practices, particularly examining how systems like ChatGPT handle intralingual translation for gender-inclusive writing and legal terminology standardization across European languages. Winner of the 2019 SUSLLF prize for her monograph 'Le nom de marque dans le discours au quotidien: prisme lexiculturall et linguistique' Recipient of research funding through European and national projects focusing on multilingual AI systems As project coordinator for the Italian and French language groups of the Empowering Multilingual Inclusive Communication (E-MIMIC) initiative, Tonti leads cross-institutional collaboration between the University of Bergamo, University of Bologna, and Polytechnic University of Turin. Her work bridges theoretical linguistics with practical AI applications, particularly in developing expert-annotated datasets for inclusive communication systems. She maintains active research partnerships with multiple Italian universities through the PRIN 2022 project framework.

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.

• Corpus-Assisted Discourse Analysis
• Legal and Political Communication
• Discursive Construction of Gender
• +۳ مورد دیگر

Garofalo Giovanni is Full Professor of Spanish Language and Translation at the Department of Foreign Languages, Literatures, and Cultures at the University of Bergamo. He joined the department in 2004 as Assistant Professor, became Associate Professor in 2014, and was promoted to Full Professor in 2020. His career includes affiliations with the Center for Research on Specialized Languages (CERLIS), Asociación de Lingüística del Discurso, AISPI (Associazione Hispanicisti Italiani), and AELINCO (Asociación Española de Lingüística de Corpus). His research focuses on Corpus-Assisted Discourse Analysis (CADS) Legal and Political Communication Discursive Construction of Gender in Spanish Legal Terminology and Lexicography Biomedical Discourse in Multicultural Contexts Prof. Garofalo's recent publications analyze textual complexity in legal corpora, hate speech in social media, and diachronic evolution of constitutional language, with methodological contributions to corpus linguistics. He has authored monographs on Spanish legal communication in criminal law and legislative language, including Géneros discursivos de la justicia penal and La Ley Orgánica 4/2000 de Extranjería . His academic leadership includes memberships in international research associations and collaborations with Spanish universities. He supervises advanced courses in Spanish linguistics and translation at the University of Bergamo, emphasizing corpus-based methodologies and specialized language analysis.

Carlo Rasmus Schwarzمشاهده پروفایل

استادیار

• Applied Microeconometrics
• Political Economy
• Media Economics
• +۱ مورد دیگر

Carlo Rasmus Schwarz is an Assistant Professor in the Department of Economics at Bocconi University. He holds a PhD in Economics from the University of Warwick and teaches courses including AI Methods for Economic Research and Advanced Econometrics. PhD in Economics, University of Warwick Dr. Schwarz's research focuses on applied microeconomics with particular emphasis on policy-relevant questions. His work uniquely combines causal inference strategies with text analysis, machine learning, and data science techniques to address pressing societal issues. He is particularly interested in how digital platforms shape political behavior and social dynamics. His publication portfolio reveals a strong trend toward investigating the societal impacts of social media, with increasing focus on hate speech, political polarization, and electoral outcomes. The research demonstrates methodological innovation through the development of specialized Stata commands for text analysis, bridging computational linguistics and traditional economic inquiry. Dr. Schwarz actively contributes to advancing methodological approaches in economics through his software development work, creating tools that enable more sophisticated text-based economic research. He maintains an active research agenda exploring the complex relationship between digital communication platforms and real-world socioeconomic phenomena, with recent work examining how online discourse translates to offline behaviors including hate crimes and voting patterns.