Sam Kriegman, Douglas Blackiston, Michael Levin, and Josh Bongard
Most technologies are made from steel, concrete, chemicals, and plastics, which degrade over time and can produce harmful ecological and health side effects. It would thus be useful to build technologies using self-renewing and biocompatible materials, of which the ideal candidates are living systems themselves. Thus, we here present a method that designs completely biological machines from the ground up: computers automatically design new machines in simulation, and the best designs are then built by combining together different biological tissues. This suggests others may use this approach to design a variety of living machines to safely deliver drugs inside the human body, help with environmental remediation, or further broaden our understanding of the diverse forms and functions life may adopt.
Urban science seeks to understand the fundamental processes that drive, shape and sustain cities and urbanization. It is a multi/transdisciplinary approach involving concepts, methods and research from the social, natural, engineering and computational sciences, along with the humanities. This report is intended to convey the current “state of the art” in urban science while also clearly indicating how urban science builds upon and complements (but does not replace) prior work on cities and urbanization in many other disciplines. The report does not aim at a fully comprehensive synopsis of work done under the rubric of “urban science” but it does aim to convey what makes urban science different from discipline-based examinations of cities and urbanization. It also highlights novel insights generated by the inherently multidisciplinary inquiry that urban science exemplifies."
The International Conference on Complex Systems is a unique interdisciplinary forum that unifies and bridges the traditional domains of science and a multitude of real world systems. Participants will contribute and be exposed to mind expanding concepts and methods from across the diverse field of complex systems science. The conference will be held July 26-31, 2020, in Nashua, NH, USA.
From its beginnings as a discipline nearly 150 years ago, economics rested on assumptions that don’t hold up when studied in the present day. The notion that our economic systems are in equilibrium, that they’re made of actors making simple rational and self-interested decisions with perfect knowledge of society— these ideas prove about as useful in the Information Age as Newton’s laws of motion are to quantum physicists. A novel paradigm for economics, borrowing insights from ecology and evolutionary biology, started to emerge at SFI in the late 1980s — one that treats our markets and technologies as systems out of balance, serving metabolic forces, made of agents with imperfect information and acting on fundamental uncertainty. This new complexity economics uses new tools and data sets to shed light on puzzles standard economics couldn’t answer — like why the economy grows, how sudden and cascading crashes happen, why some companies and cities lock in permanent competitive advantages, and how technology evolves. And complexity economics offers insights back to biology, providing a new lens through which to understand the vastly intricate exchanges on which human life depends.
This week’s guest is W. Brian Arthur, External Professor at the Santa Fe Institute, Fellow at the Center for Advanced Study in the Behavioral Sciences at Stanford, and Visiting Researcher at Xerox PARC. In this first part of a two-episode conversation, we discuss the heady early days when complex systems science took on economics, and how biology provided a new paradigm for understanding our financial and technological systems. Tune in next week for part two…
The Center for Social and Biomedical Complexity (CSBC: https://csbc.sice.indiana.edu) at Indiana University Bloomington is accepting applications for one or more full-time non-tenure track postdoctoral fellows to conduct interdisciplinary research in Complex Networks and Systems applied to various social, ecological, biological, medicine and health problems. The expected start date for the appointments is February 2020. Candidates interested in conducting research in urban community-environment systems, or network science methods to analyze and visualize information relevant for epilepsy and other chronic diseases are encouraged to apply. The appointments are full-time for 12 months, with potential to be extended an additional year subject to funding and satisfactory performance. We offer a competitive salary with generous benefits. The postdocs will join a dynamic and interdisciplinary team that includes systems scientists, biologists, computer scientists, and social scientists. The postdocs will work with Prof. Luis M Rocha (https://informatics.indiana.edu/rocha/) and Prof. Johan Bollen (https://informatics.indiana.edu/jbollen/).