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Collective Dynamics of Complex Systems Research Group Seminar Series September 19, 2012 Hiroki Sayama (Bioengineering & Systems Science and Industrial Engineering) "Post-Merger…... 
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What can governments learn from the open-data revolution? In this stirring talk, Beth Noveck, the former deputy CTO at the White House, shares a vision of practical openness -- connecting bureaucracies to citizens, sharing data, creating a truly participatory democracy. Imagine the "writable society" ...
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Renowned academic, author, and director of the Mindsight Institute Dan Siegel, visits the RSA to reveal an extremely rare thing - a working definition of the mind.
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What is value about? and how do we measure value? Traditionally, the way of measuring value has been not been through measures of value, but actually through measures of appropriation: measures of the amount of money that you can appropriate through that business, not the value that it generates in society. We're starting to see this difference. Via FastTFriend
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TED Talks Ecologist Eric Berlow doesn't feel overwhelmed when faced with complex systems. He knows that more information can lead to a better, simpler solution.
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Five great revolutions have shaped political culture over the past 50 years, says theorist Ivan Krastev. He shows how each step forward -- from the cultural revolution of the ‘60s to recent revelations in the field of neuroscience -- has also helped erode trust in the tools of democracy. As he says, "What went right is also what went wrong." Can democracy survive?
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In this new RSA Animate, Manuel Lima, senior UX design lead at Microsoft Bing, explores the power of network visualisation to help navigate our complex moder... Via Abel Revoredo
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J. CRAIG VENTER: I was asked earlier whether the goal is to dissect what Schrödinger had spoken and written, or to present the new summary, and I always like to be forward-looking, so I won't give you a history lesson except for very briefly. I will present our findings on first on reading the genetic code, and then learning to synthesize and write the genetic code, and as many of you know, we synthesized an entire genome, booted it up to create an entirely new synthetic cell where every protein in the cell was based on the synthetic DNA code. Via FastTFriend
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Takashi Ikegami has his own science lab where his work deals with complex systems and artificial life. He is a professor of physics in the Department of General Systems Sciences at the University of Tokyo.
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Farida Vis is a Lecturer in Media and Communication at the University of Leicester and has written for the Guardian. She specializes in social media and its role in crisis situations.
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The recent generations have been bathed in connecting technology from birth, says futurist Don Tapscott, and as a result the world is transforming into one that is far more open and transparent. In this inspiring talk, he lists the four core principles that show how this open world can be a far better place.
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In the fall of 2011 Peter Norvig taught a class with Sebastian Thrun on artificial intelligence at Stanford attended by 175 students in situ -- and over 100,000 via an interactive webcast. He shares what he learned about teaching to a global classroom.
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Strogatz mathematically describes how natural and sociocultural complexity resolves into vast webs of order. Ratti uses technology as a tool to create interactive urban environments. In this video Salon, Strogatz and Ratti discuss whether building and analyzing human networks can help us overcome our poor mathematical understanding of complexity.
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Because of poor acoustics, students in classrooms miss 50 percent of what their teachers say and patients in hospitals have trouble sleeping because they continually feel stressed. Julian Treasure sounds a call to action for designers to pay attention to the “invisible architecture” of sound.
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The main questions I've been asking myself over the last couple years are broadly about how culture drove human evolution. Think back to when humans first got the capacity for cumulative cultural evolution—and by this I mean the ability for ideas to accumulate over generations, to get an increasingly complex tool starting from something simple. One generation adds a few things to it, the next generation adds a few more things, and the next generation, until it's so complex that no one in the first generation could have invented it. This was a really important line in human evolution, and we've begun to pursue this idea called the cultural brain hypothesis—this is the idea that the real driver in the expansion of human brains was this growing cumulative body of cultural information, so that what our brains increasingly got good at was the ability to acquire information, store, process and retransmit this non genetic body of information.
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With Big Data we can now begin to actually look at the details of social interaction and how those play out, and are no longer limited to averages like market indices or election results. This is an astounding change. The ability to see the details of the market, of political revolutions, and to be able to predict and control them is definitely a case of Promethean fire --- it could be used for good or for ill, and so Big data brings us to interesting times. We're going to end up reinventing what it means to have a human society.
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These three things—a biological hurricane, computational social science, and the rediscovery of experimentation—are going to change the social sciences in the 21st century. With that change will come, in my judgment, a variety of discoveries and opportunities that offer tremendous prospect for improving the human condition. Via FastTFriend
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Videos and slides of lectures from David MacKay's course at The University of Cambrdige based on his renowned book "Information Theory, Pattern Recognition, and Neural Networks"
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Throughout human evolution, multiple versions of humans co-existed. Could we be mid-upgrade now? At TEDxSummit, Juan Enriquez sweeps across time and space to bring us to the present moment -- and shows how technology is revealing evidence that suggests rapid evolution may be under way.
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Seth Llyod is a Professor in the Department of Mechanical Engineering at the Massachusetts Institute of Technology (MIT). His talk, "Programming the Universe", is about the computational power of atoms, electrons, and elementary particles. Via Szabolcs Kósa, Abel Revoredo
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Igor Nikolic graduated in 2009 on his dissertation: co-evolutionary process for modelling large scale socio-technical systems evolution. He received his MSc as a chemical-- and bioprocess engineer at the Delft University of Technology. He spent several years as an environmental researcher and consultant at University of Leiden where he worked on life cycle analysis and industrial ecology. In his research he specializes in applying complex adaptive systems theory and agent based modeling. On TEDxRotterdam Igor Nikolic left the audience in awe with his stunning presentation and visualizations, mapping complex systems
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Carlos Gershenson is the head of the Computer Science department at the Mathematical Institute in the Universidad Nacional Autonoma of Mexico. He researches solutions for urban mobility, healthcare, governance and engineering.
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Rebecca Onie asks audacious questions: What if waiting rooms were a place to improve daily health care? What if doctors could prescribe food, housing and heat in the winter? At TEDMED she describes Health Leads, an organization that does just that -- and does it by building a volunteer base as elite and dedicated as a college sports team.
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“The world needs you, badly,” begins celebrated biologist E.O. Wilson in his letter to a young scientist. Previewing his upcoming book, he gives advice collected from a lifetime of experience -- reminding us that wonder and creativity are the center of the scientific life.
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10 Lessons from 20 Years in Building a Complexity-Informed Archaeology by Timothy Kohler
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