4 episodes

Every day seems to bring a new iPod, a new computer, a fancier cell phone, or some new gadget or device. Are there laws that drive this technological change? Our core knowledge of complex systems allows us to ask, and often answer, these types of questions: How does technological innovation compare with evolutionary innovation and natural selection? How do we understand 'repurposing', the recycling and transformation of old ideas into new ones? How can we predict the evolution of new technologies, such as the generation of solar power? Is the accelerating pace of innovation sustainable or doomed to inevitable collapse?

Networks of cells, people, and disease transmission, as well as the internet, can all be described and understood with a mathematical precision that was not possible fifteen years ago. From a general conceptual framework we can now understand how clusters form or dissipate, how ideas, people, disease, or technology spread. The importance and potential impact of such studies are obvious and the implications for various fields are vast - ranging from the social and biomedical sciences to understanding the structure and dynamics of organizations.

NOTE: Please excuse the production quality of some of our older videos. They were transferred from our video tape archive.

Networks, Technology and Innovation Santa Fe Institute

    • Natural Sciences

Every day seems to bring a new iPod, a new computer, a fancier cell phone, or some new gadget or device. Are there laws that drive this technological change? Our core knowledge of complex systems allows us to ask, and often answer, these types of questions: How does technological innovation compare with evolutionary innovation and natural selection? How do we understand 'repurposing', the recycling and transformation of old ideas into new ones? How can we predict the evolution of new technologies, such as the generation of solar power? Is the accelerating pace of innovation sustainable or doomed to inevitable collapse?

Networks of cells, people, and disease transmission, as well as the internet, can all be described and understood with a mathematical precision that was not possible fifteen years ago. From a general conceptual framework we can now understand how clusters form or dissipate, how ideas, people, disease, or technology spread. The importance and potential impact of such studies are obvious and the implications for various fields are vast - ranging from the social and biomedical sciences to understanding the structure and dynamics of organizations.

NOTE: Please excuse the production quality of some of our older videos. They were transferred from our video tape archive.

    • video
    Copyright in the Digital Age: Mine, Yours, and Ours?

    Copyright in the Digital Age: Mine, Yours, and Ours?

    The intricacies of copyright law — once the province of publishing companies and their lawyers — are now relevant to the everyday lives of everyone with a computer and an Internet connection. Van Houweling will explore the implications of this development. What does it mean for a legal system that has long been relevant primarily to commercial publishers to impose both its burdens and benefits on millions of individuals? Especially provocative is the phenomenon of individuals as copyright owners. When we all create copyrighted works and post them online as part of our daily lives, what impact does that have on the creative and legal environment? What role should platform owners and other institutions (Facebook, YouTube, Creative Commons) have in managing this environment?

    • video
    Big Data, Global Development, and Complex Systems

    Big Data, Global Development, and Complex Systems

    Petabytes of data about human movements, transactions, and communication patterns are continuously being generated by everyday technologies such as mobile phones and credit cards. In collaboration with the mobile phone, internet, and credit card industries, Eagle and colleagues are aggregating and analyzing behavioral data from over 250 million people from North and South America, Europe, Asia and Africa. Eagle discusses projects arising from these collaborations that involve inferring behavioral dynamics on a broad spectrum of scales from risky behavior in a group of MIT freshman to population-level behavioral signatures, including cholera outbreaks in Rwanda and wealth in the UK. The research group is developing a range of large-scale network analysis and machine learning algorithms that will provide deeper insight into human behavior.

    • 1 hr 10 min
    • video
    The Internet, Epidemics, and Kevin Bacon: The Emerging Science of Networks

    The Internet, Epidemics, and Kevin Bacon: The Emerging Science of Networks

    • 57 min
    • video
    Practice Makes Perfect: How Billions of Examples Lead to Better Models of Language, Pictures, and Other Things

    Practice Makes Perfect: How Billions of Examples Lead to Better Models of Language, Pictures, and Other Things

    • 1 hr 16 min

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