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...

Ram Ramaswamy is an Indian physicist whose work cuts across disciplinary boundaries. A leading complex systems scientist, his research has largely centered on nonlinear dynamics, statistical physics, and computational biology. After earning his PhD from Princeton University, he returned to India, first joining the Tata Institute of Fundamental Research before spending most of his career at Jawaharlal Nehru University, where he was part of both the School of Physical Sciences and the School of Computational and Integrative Sciences until his retirement in 2018. He later served as Vice Chancellor of the University of Hyderabad and has held numerous visiting and honorary professorships. Currently, he is an honorary professor in the Department of Physical Sciences at IISER Berhampur and holds the D. D. Kosambi Chair in Interdisciplinary Studies at the University of Goa. Ramaswamy is a fellow of the World Academy of Sciences and a fellow and former president of the Indian Academy of Sciences, where he also founded the journal Dialogue: Science, Scientists and Society. Across his career, he has consistently championed academic freedom and more inclusive, equitable approaches to science education. In this wide-ranging InterDialogue, we discuss Ramaswamy’s contributions to chaos theory, self-organized criticality, and the synchronization of stochastic systems, along with his influential role in shaping nonlinear science in India. The conversation also explores the broader social responsibilities of scientists, particularly within public universities, including teaching, mentorship, and public communication. We delve into his sustained efforts to advance gender equity in Indian science, beginning with Lilavati’s Daughters, a landmark volume he co-edited featuring the voices of nearly one hundred women scientists. Other topics include improving accessibility in science education for students with disabilities and his current work on a biography of the influential Indian thinker D. D. Kosambi. The discussion opens with reflections on the importance of public...

Is self-organization the answer to the foundational question of why life exhibits such complexity? And can it also serve as a guiding framework for how best to save complex webs of biodiversity amid the onslaughts of the modern world? Self-organization exists throughout nature and socioeconomic structures. It refers to the spontaneous emergence of collective, complex order within a disordered system, due to localized interactions that follow simple rules, and occurring without external controls. While conceptually abstract, given that uncertainty lies at its core, the applications of self-organization are everywhere. Advancing our understanding of the non-linear processes within complex systems that drive self-organization is also becoming increasingly important for developing evidence-based policies in a world defined by interdependence and escalating stressors. Indigenous cultures, such as those that live within complex socio-ecological systems in the Amazon ecoregion, have long embraced these principles of uncertainty, interconnectedness, and non-linear dynamics. How will their wisdom, experience, and models of socio-ecological systems integrate with evidence-based policies for protecting the Amazon ecoregion? Safeguarding the Amazon is one of our world’s most pressing, complex, and vital global challenges. Among the strategies gaining traction, supported by increasing financial investment, is the intriguing proposition to transform a portion of the region’s immense biodiversity into a sustainable “bioeconomy.” However, these proposals, and the policy makers responsible for negotiating their implementation across boundaries and cultures, often lack an understanding of how both economies and ecologies self-organize and scale. Data-driven models of self-organization and critical collective phenomena in the natural world and within traditional Indigenous sociocultural structures, along with adaptive context-based frameworks, can help guide the transboundary development of a decentralized and circular socio-bioeconomy for the Amazon. Self-Organized Criticality and the Edge of Chaos Pioneering research on self-organized criticality (SOC) began in the 1980s and was made accessible to a wider audience by...

Investment in science is a pillar for any dynamic, equitable modern society, and promoting scientific literacy across all levels of society can help foster innovation, dialogue, and consensus that crosses disciplinary and cultural boundaries. Science also helps to uncover answers to foundational questions that have captivated, confounded, and divided our species for millennia. But what is “science,” and what kind of “evidence” ensures that an approach is scientific? If we take “science” to broadly mean, in its purest sense, a “dynamic search for the truth,” or more explicitly, “the pursuit and application of knowledge and understanding of the natural and social world following a systematic methodology based on evidence,” as the Science Council aptly defines it, then science extends beyond the established, highly specialized disciplines of reductionist natural sciences (physics, chemistry, biology, geoscience, and space science) that have been so successful in fostering our understanding of our planet and the cosmos. Under this definition, science also includes the rigorous data-driven (qualitative and quantitative) social sciences, the inherently non-reductionist “holistic” sciences such as ecological and Earth system sciences, and the budding interdisciplinary field of complex systems science, as well as robust traditional knowledge systems based on multi-generational experiences, observations, and reasoning. As with science, “evidence” can mean a lot of things as well, including primary research, pre-existing data, past and planned experiments, and the referencing of peer-reviewed publications and primary sources. It can also include local and traditional knowledge, thought experiments, theoretical proofs, contemplation, verifiable personal experience, and empirical observation. Broadening and weaving together these forms of scientific evidence holds the potential to address complex, interconnected global challenges and explain deep mysteries that could help unify our polarized societies around foundational understandings. Foundational Questions Foundational questions can transcend the divides of generations and cultures: Cosmology, physics, and evolutionary biology have shed...