Prof. Meeyoung “Mia” Cha (MPI-SP / KAIST) leads ground breaking work in computational social science and algorithmic misinformation detection. Recently, her Data Science for Humanity group introduced GeoReg,a few-shot regression model that combines satellite and geospatial data with LLM-based analytics to estimate regional socio-economic indicators, promising new avenues for sustainable development and policy insights. She continues her longstanding commitment to combating misinformation, her team spearheaded the "Facts Before Rumors" campaign during COVID-19, and she remains committed to designing human-centric algorithms that prioritize fairness, transparency, and societal wellbeing.

Prof. Massimo Stella (UniTrento / CogNosco Lab) advancesthe field of cognitive network science, investigating the hidden structure of human and machine thinking. His recent preprint reveals howbehavioral forma mentis networks uncover subtle differences between human reasoning and LLM conceptual structures, human experts show dense, highlyclustered connections, while GPT mindsets remain comparatively sparse. This work builds on his broader cognitive network research, including analysis ofonline perceptions of COVID-19 vaccines and emotion-laden conceptual associations in social discourse.

Prof. Tanmoy Chakraborty (IIT Delhi) merges graph neural networks, natural language processing, and social computing to tackle real-world challenges in AI and society. His team’s recent contributions span a wide spectrum exploring LLM-based fact verification, instruction tuning, and domain-specific language models, to initiatives in combating misinformation and supporting mental health via AI-driven counter-speech and content moderation strategies. He also leads systems for narrative extraction in news and workshops at SemEval‑2025, showcasing his commitment to both foundational AI and socially impactful applications.

‍Emilio Ferrara (Moderator) is a professor of computer science and communication at the USC Viterbi Department of Computer Science and USC Annenberg. His research focushas been at the intersection between developing theory and methods for networkanalysis and applying them to study socio-technical systems and informationnetworks. He is concerned with understanding the implications of technology andcommunication networks on human behavior, and their effects on society atlarge. His work spans from studying the web and social networks, tocollaboration systems and academic networks, from team science to onlinecrowds. Ferrara has published more than 150 articles on social networks, machine learning and network science that have appeared on venues like the Proceeding of the National Academy of Sciences and Communications of the ACM. His research is supported by DARPA, IARPA, the Air Force and the Office of Naval Research. He has received the Viterbi Junior Research Award, DARPA Director’s Fellowship Award, the DARPA Young Faculty Award, and Complex System Society Junior Scientific Award.

‍

‍