Resilience, a system’s ability to adjust its activity to retain its basic functionality when errors, failures and environmental changes occur, is a defining property of many complex systems1. Despite widespread consequences for human health2, the economy3 and the environment4, events leading to loss of resilience—from cascading failures in technological systems5 to mass extinctions in ecological networks6—are rarely predictable and are often irreversible. These limitations are rooted in a theoretical gap: the current analytical framework of resilience is designed to treat low-dimensional models with a few interacting components7, and is unsuitable for multi-dimensional systems consisting of a large number of components that interact through a complex network. Here we bridge this theoretical gap by developing a set of analytical tools with which to identify the natural control and state parameters of a multi-dimensional complex system, helping us derive effective one-dimensional dynamics that accurately predict the system’s resilience. The proposed analytical framework allows us systematically to separate the roles of the system’s dynamics and topology, collapsing the behaviour of different networks onto a single universal resilience function. The analytical results unveil the network characteristics that can enhance or diminish resilience, offering ways to prevent the collapse of ecological, biological or economic systems, and guiding the design of technological systems resilient to both internal failures and environmental changes.
StarGenetics is a Mendelian genetics cross simulator developed at MIT by biology faculty, researched-trained scientists and technologists at MIT's OEIT. StarGenetics allows students to simulate mating experiments between organisms that are genetically different across a range of traits to analyze the nature of the traits in question. Its goal is to teach students about genetic experimental design and genetic concepts.
Created as a collaboration between Mediated Matter Group (MIT Media Lab) and the Glass Lab (MIT), GLASS G3DP is a additive manufacturing process that enables 3d printing of optically transparent glass that also allows tunability by geometrical and optical variation that drives form, transparency, color variation, reflection and refraction in all things glass.
Researchers at the Wake Forest School of Medicine have created 3D Printed beating artificial heart cells called Organoids. The heart cells are created by first genetically modifying adult human skin cells into induced pluripotent stem cells. Then, the induced stem cells are redesigned to create the Organoids. After the Organoids are formed, the spheroids of …
Organisms employ an array of strategies to generate, detect, absorb, scatter, and otherwise process light. Researchers in optics and photonics are studying these strategies and increasingly use them as blueprints in the development of advanced sensing and imaging devices. Butterfly Wings Inspire Advanced Sensor Technologies The wings of Morpho butterflies produce bright, vibrant, iridescent colors when light …
Created by Richard Vijgen, The Architecture of Radio is a site-specific iPad application that visualizes this network of networks by reversing the ambient nature of the infosphere; hiding the visible while revealing the invisible technological landscape we interact with through our devices.
Although there have been a wide variety of conceptual products that use 3D printing as a final method of manufacturing, the stakes have been pushed higher over the last couple of years to really push rapid prototyping into a rapid manufacturing stage whose aesthetic and functional qualities are embedded within the aesthetics of the final piece - something that is rarely ever done with traditional manufacturing techniques. One recent example of how 3D printing has been used other than to create a prototype or otherwise 'typical' 3D printed object comes from LA-based Synthesis Design + Architecture (SDA).
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