Federico Battiston, an Associate Professor in Network Science, brings a wealth of experience from esteemed institutions like CEU, University College London, and the Brain & Spine Institute in Paris. Holding a PhD from Queen Mary University of London, his expertise spans statistical physics, complexity science, and social networks. As Chair of NetSci2023, he oversees the premier conference in network science, demonstrating his leadership in the field. Federico's research, published in prestigious journals like Nature Physics and Science Advances, delves into diverse topics, from sustainable urban systems to the human brain. Recognized with awards such as the Junior Award of the Complex Systems Society and the Early Career Prize in Statistical and Nonlinear Physics of the European Physical Society, Federico continues to advance our understanding of complex systems and network dynamics, mentoring a new generation of researchers.

Tina Eliassi-Rad is the inaugural President Joseph E. Aoun Professor at Northeastern University. She is also an external faculty member at the Santa Fe Institute and the Vermont Complex Systems Center. Tina works at the intersection of artificial intelligence and network science and is interested in the impact of science and technology on society. For a more extended bio, visit http://eliassi.org/bio.html .

Frank Emmert-Streib, a distinguished Professor of Data Science at Tampere University, leads the Predictive Society and Data Analytics Lab, focusing on interdisciplinary research in data science. Formerly a Senior Lecturer at Queen's University Belfast, his expertise spans biostatistics, computational biology, and theoretical physics. Frank received training as a Senior Fellow at the University of Washington and was a Postdoctoral Research Associate at the Stowers Institute for Medical Research. With a Ph.D. in Theoretical Physics from the University of Bremen, he has significantly contributed to computational and statistical methods, particularly in addressing uncertainty and explainability in data analysis. Frank's extensive experience includes sabbaticals at prestigious institutions like Harvard School of Public Health and the University of Cambridge. As a co-founder and former CSO of sAnalytiCO Ltd, he has demonstrated leadership in academia and industry, shaping the future of data technology. He plays an active role in academic publishing as an editor and associate editor for prestigious scientific journals.

Filippo Menczer is the Luddy distinguished professor of informatics and computer science and the director of the Observatory on Social Media at Indiana University. He holds a Laurea in Physics from the Sapienza University of Rome and a Ph.D. in Computer Science and Cognitive Science from the University of California, San Diego. His research interests span Web and data science, computational social science, science of science, and modeling of complex information networks. Dr. Menczer was named a Fellow of the ACM for his research on the vulnerability of social media networks to disinformation and manipulation.

Luciano Pietronero graduated in Physics in 1971 in Rome. After several experiences abroad in the corporate research sector (Xerox Research Center Webster in New York and Brown Boveri Research Center in Switzerland), he was a full professor of Condensed Matter Physics at the University of Groningen in the Netherlands and then at the University of Rome “Sapienza”. In 2004, he founded the Institute of Complex Systems (ISC) of the CNR. In 2007, he was the president of the 23rd edition of the STATPHYS conference, and in 2008, he won the Enrico Fermi prize, the most important of the Italian Physics Society. Author or co-author of more than 400 scientific publications; in 1987, he introduced the concept of fractal cosmology and in 2012, the Economic Fitness and Complexity model. Mentor of a generation of young scientists in the fields of complex systems, statistical mechanics and superconductivity at high temperatures, since 2019, he has been President of the Enrico Fermi Historical Museum of Physics and Study and Research Centre.