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...

Marta González is a Venezuelan-American physicist and complexity scientist whose research explores the dynamics of human mobility, urban systems, and sustainability through the lens of statistical physics and network science. She is a professor of civil and environmental engineering and city and regional planning at the University of California, Berkeley, where she also serves as associate director of the Transportation Sustainability Research Center. González is internationally recognized for pioneering the use of large-scale mobility data to better understand cities and inform public policy. In this wide-ranging InterDialogue, González reflects on her journey from physics into complexity science and urban research, explaining how statistical physics provides powerful tools for understanding human mobility and the collective dynamics of cities. We discuss the emergence of urban science as an interdisciplinary field, the opportunities and limitations of mobile phone and mobility datasets, and how these data can improve transportation planning, climate adaptation, and the design of more resilient and sustainable cities. González also explores the challenges of translating scientific research into public policy, including questions of data access, privacy, and collaboration between researchers, governments, and industry. We further examine the future of urban mobility, autonomous vehicles, and clean energy, as well as the importance of international collaboration and expanding scientific capacity across the Global South. Finally, she reflects on the broader promise of complexity science for addressing some of the most pressing social and environmental challenges facing rapidly urbanizing societies. Timestamps 0:00 – Introduction and Marta González’s path into complexity science 5:01 – From statistical physics to human mobility research 10:18 – Mobile phone data and the emergence of urban science 15:42 – Sustainable cities, climate adaptation, and resilience 20:24 – Privacy, data access, and international collaboration 25:42 – Using complexity science to inform urban policy 29:32 – Measuring the impact of remote work...

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...

Mariana Gómez Soto is a Colombian social anthropologist, environmentalist, and activist. She holds a BA in social anthropology with minors in geography and biology, a master’s degree in social anthropology, and a second master’s degree in holistic sciences from Schumacher College. Gómez has worked closely with Indigenous communities for many years and has led key intercultural initiatives through her roles at the Gaia Amazonas Foundation and as a leader within the North Amazon Alliance. She is the lead author of a recent chapter on socio-bioeconomics and connectivity published in an assessment report by the Science Panel for the Amazon. Gómez also played a central role in founding the Amazonia Conectada coalition, which brings together the North Amazon Alliance, the Science Panel for the Amazon, RAISG, and Aguas Amazónicas—organizations with distinct areas of expertise united by a shared commitment to sustaining the Amazon’s terrestrial, biocultural, hydrological, and climatic interconnectivity. This wide-ranging InterDialogue opens with a discussion on dynamic, context-based frameworks for building and scaling a sustainable, circular bioeconomy in the Amazon. The conversation then turns to the importance of Amazonian connectivity, the evolving priorities of the North Amazon Alliance and Amazonia Conectada, and the critical role of interdisciplinary and intercultural education and collaboration in safeguarding the region’s future. Timestamps 0:00 – Introduction 1:42 – Defining Bioeconomics and Socio-Bioeconomy 5:44 – Envisioning a Circular Bioeconomy in the Amazon 9:52 – Developing Socio-Bioeconomic Trade Infrastructure 12:09 – Challenges of Modeling Bioeconomy in Practice 14:45 – Consequences of 2026 Elections for the Amazon 16:10 – Bioeconomic Product Identification and Market Integration 22:47 – Experiences Coordinating the North Amazon Alliance 24:27 – Analyzing Connectivity in the Amazon 31:47 – Hydrological-Terrestrial Interconnectivity 34:24 – Developing a New Methodology for Measuring Forest Connectivity 37:26 – Coordinating with Policymakers and the Public 44:11 – Experiences at COP30 49:49...