Jordi Soriano Fradera is a Spanish physicist and Associate Professor of Physics at the University of Barcelona, where he leads the Neurophysics Group and serves as vice-director of the university’s Institute of Complex Systems (UBICS). He earned his PhD in condensed matter physics at the University of Barcelona before completing postdoctoral research in developmental biology in Germany and in neuroscience at the Weizmann Institute of Science in Israel. For more than fifteen years, his group has developed in vitro neuronal cultures and biophysical models to study how connectivity and collective dynamics give rise to brain function, and how they break down in neurological disease. He has collaborated closely with medical teams on Parkinson’s, Huntington’s, Sanfilippo, and Alzheimer’s disease, and coordinated research under the EU Horizon 2020 NEU-CHiP project on biological computing. In this InterDialogue, recorded in Soriano’s lab among live neuronal cultures and imaging equipment, we trace his path from studying fluid fronts in porous media as a condensed matter physicist to a twenty-year career in neurophysics. We discuss how his group engineers rat and human stem-cell-derived neuronal cultures to model the brain’s structural and functional connectivity and to serve as disease models for Parkinson’s, Huntington’s, Sanfilippo, and Alzheimer’s, the prospects and limits of cell transplantation and personalized medicine, and why Soriano estimates a twenty-year horizon before such approaches reach the clinic. We also discuss his work on network damage, resilience, and criticality in neuronal cultures, the NEU-CHiP project’s attempt to train living neurons to perform computation, neuromorphic chips that mimic neurons in silicon, and a striking experiment in which donated human brain tissue was made to play back a melody fed to it through a robotic piano. We close by considering the ethical stakes of coupling neuronal cultures with robots and augmented-human technologies, Soriano’s efforts to help build neuroscience...

Javier Buldú is a Spanish physicist and complexity scientist whose research spans complex networks, nonlinear dynamics, neuroscience, and sports analytics. He leads the Complex Systems Group at the King Juan Carlos University in Madrid and has held research positions at institutions including the Spanish Astrobiology Center and the University of Oxford. Buldú has also played a prominent role in building the international complex systems community through initiatives such as the Latin American Conference on Complex Networks (LANET), the Interdisciplinary Group of Complex Systems in Madrid, and the Sicómoro Foundation–URJC Chair in Complex Systems. In this InterDialogue, we trace Buldú’s intellectual journey from his early work on chaos, synchronization, and laser-based communication systems to his pioneering contributions to network science. We discuss his research on general complex networks, functional brain networks, Alzheimer’s disease, and the emerging field of “networks of networks,” exploring how competing and cooperating systems can be modeled across scales ranging from neuroscience to economics and international relations. We then turn to Buldú’s influential work applying complexity science to football, examining how advances in data collection, tracking technologies, and artificial intelligence are transforming both sports analytics and network research more broadly. He explains how professional sports provide an unprecedented laboratory for studying collective behavior and spatial networks, and how insights derived from sports data may ultimately inform the study of many other complex systems. We also discuss science communication, the future of complexity science, the development of network science in Latin America, and the opportunities and challenges posed by AI in scientific research. Finally, Buldú reflects on the personal side of scientific life, including his passion for long-distance motorcycle travel and the role it plays in maintaining balance and perspective. Timestamps 0:00 – Introduction 2:42 – From laser chaos to network science 6:29 – Brain networks, synchronization, and Alzheimer’s...

Ciro Cattuto is an Italian physicist and complexity scientist whose work explores the intricate relationships between human behavior and digital technologies. Since 2008, he has served as Scientific Director of the ISI Foundation, based in Turin, Italy. He is also the founder and principal investigator of the Sociopatterns Collaboration. Throughout his career, Cattuto has held a range of influential research, fellowship, advisory, and board positions in Italy, the United States, and Japan. In this thought-provoking InterDialogue, we trace Cattuto’s intellectual journey from theoretical solid-state physics into complex systems science, a multicultural path that unfolded across three continents. We also discuss his contributions to data science and complex network research, including his work on some of the first digital social networks. We then examine what it means to conduct interdisciplinary research and how such collaborations can be cultivated more effectively. Cattuto also draws on his experience at the intersection of complex networks and epidemiology as a case of interdisciplinary bridge-building in practice. We further discuss the research priorities and guiding principles of the ISI Foundation, especially in relation to its current focus on computational social science and opportunities for policy impact. Finally, we reflect on both the promise and the profound challenges associated with the growing integration of artificial intelligence into scientific research and society more broadly. Timestamps 1:41 – Cattuto’s background and trajectory in complex systems science 9:19 – ISI as a hub of European complex systems science 11:46 – Interdisciplinary collaborations at ISI 14:38 – Interdisciplinarity and institutional funding frameworks 16:52 – Interdisciplinarity across generational, disciplinary, and national boundaries 19:36 – Computational social science and other interdisciplinary research areas at ISI 24:06 – Translating research into policy and governance 25:26 – Social science contributions to AI and computational research 27:36 – Studying complex systems using AI 29:59 – Challenges...

It turns out that pop stars Drake and The Weeknd didn’t suddenly drop a new track that went viral on TikTok and YouTube in April 2023. The photograph that won an international photography competition that same month wasn’t a real photograph. And the image of Pope Francis sporting a Balenciaga jacket that appeared in March 2023? That was also a fake. All were made with the help of generative AI, the new technology that can generate humanlike text, audio and images on demand through programs such as ChatGPT, Midjourney and Bard, among others. There’s certainly something unsettling about the ease with which people can be duped by these fakes, and I see it as a harbinger of an authenticity crisis that raises some difficult questions. How will voters know whether a video of a political candidate saying something offensive was real or generated by AI? Will people be willing to pay artists for their work when AI can create something visually stunning? Why follow certain authors when stories in their writing style will be freely circulating on the internet? I’ve been seeing the anxiety play out all around me at Stanford University, where I’m a professor and also lead a large generative AI and education initiative. With text, image, audio and video all becoming easier for anyone to produce through new generative AI tools, I believe people are going to need to reexamine and recalibrate how authenticity is judged in the first place. Fortunately, social science offers some guidance. The many faces of authenticity Long before generative AI and ChatGPT rose to the fore, people had been probing what makes something feel authentic. When a real estate agent is gushing over a property they are trying to sell you, are they being authentic or just trying to close the deal? Is that stylish acquaintance wearing authentic designer fashion...