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...

Earth’s Memory, Part One Abstract Every rock carries a fragment of Earth’s memory. Collectively, these fragments preserve an extraordinary geological record spanning more than 4.5 billion years of planetary evolution. This article traces that record through the deep-time history of our planet—from the formation of Earth’s earliest crust and the Great Oxidation Event, when microbial life transformed the planet’s atmosphere, to the five great mass extinctions that repeatedly reset the trajectory of life, and the Snowball Earth episodes, when our planet experienced its most extreme glaciation. Drawing on more than two decades of fieldwork across Himalaya and Peninsular India, among ancient rocks, minerals, and fossils that bear direct witness to these planetary transformations, it explores how geologists reconstruct Earth’s early history from evidence preserved in the geological archives. Taken together, these geological events reveal a recurring pattern: Earth is a dynamic system in which every major crisis has also created the conditions for new and often more complex forms of life to evolve. That pattern, written into rocks billions of years old, continues to shape the planet today.    I first learned to listen to rocks long before I had the words to describe what that meant.  It began in the Himalaya, the youngest mountain range on Earth, still rising, still deforming, and still recording the ongoing collision between continents. During my early fieldwork, I spent long days mapping folded strata, tracing fault scarps, and trying to understand how landscapes preserve evidence of processes operating across vastly different geological timescales. At that time, I often felt that the mountains were trying to say something in a language I had not yet learned. Over time, through fieldwork, mapping, and countless hours spent among rocks and sediments, I began to decipher that silent language.  The lesson deepened across many other landscapes of India....

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...

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...

In this InterDialogue, Spanish physicist and complex systems theorist Jesús Gómez-Gardeñes speaks with The InterPlex founder Daniel Henryk Rasolt about a wide range of topics, beginning with a discussion of LANET, the Latin American Conference on Complex Networks, which he helped found. Jesús Gómez-Gardeñes is a Full Professor in the Department of Condensed Matter Physics at the University of Zaragoza in Spain, where he leads the Group of Theoretical & Applied Modeling (GOTHAM lab) at the BIFI Institute. Professor Gómez-Gardeñes has led a varied and impactful career. His research has explored topics such as collective behavior, nonlinear dynamics, evolutionary dynamics, epidemics, and theoretical biology, all from the standpoint of complex systems and network theory. He is currently organizing the 2026 CompleNet conference, to be held in Zaragoza from May 4 to 8. This dialogue ranges from Gómez-Gardeñes’s experiences as a thought leader in complex network sciences in Europe and Latin America to his work on epidemics, urban mobility, and metapopulation networks. He also touches on confronting anti-science rhetoric and the need for scientists to address misinformation by establishing effective links with the media and policymakers. The discussion concludes with an assessment of the complexity inherent to Colombia, a nation that Gómez-Gardeñes has spent much time working in, and a view toward his current and future projects. Timestamps 0:00 – Introduction 4:32 – How LANET Was Founded 8:23 – International Academic Exchange between Colombia and Europe 11:28 – The Role of Complex Networks in Interdisciplinary Collaborations 14:19 – Networking and Collaborating Through Conferences 17:17 – Building Local Capacity and Fostering International Collaborations 23:21 – Expanding Reach and Accessibility, Hybrid Courses 26:37 – Gómez-Gardeñes’s Research on Epidemics 32:33 – Metapopulation Networks 36:08 – Pivoting From Urban Mobility Research to Epidemics 41:10 – Mosquitoes as Vectors 47:03 – Socio-Behavioral Factors and Epidemic Forecasting...