Computer Science

  • WWII
    Since the end of World War II, few violent conflicts have erupted between major powers. Scholars have come to call this 73-year period “the long peace.” But is this stretch of relative calm truly unusual in modern human history – and evidence that
  • Networks
    Apaper posted onlinelast month has reignited a debate about one of the oldest, most startling claims in the modern era of network science: the proposition that most complex networks in the real world — from the World Wide Web to
  • Tactile sensors mounted on a commercial gripper (Nikolaus Correll)
    Seven CU «Ƶ research teams have been selected to receive grants for the development of commercially-promising technologies. A total of 21 applications were reviewed by a panel of external judges made up of entrepreneurs, investors, business
  • Science magazine cover
    Amidst the vast and varied ecosystem of modern science, the emerging interdisciplinary field known as the “science of science” is exploring a difficult, but provocative, question: In the age of data science, are future discoveries now predictable?In
  • Aaron Clauset is an assistant professor of computer science at CU-«Ƶ and a faculty member of the BioFrontiers Institute.
    Five Questions for Aaron ClausetAaron Clauset is an assistant professor of computer science at CU-«Ƶ and a faculty member of the BioFrontiers Institute. He recently accepted the 2016 Erdős-Rényi Prize in Network Science, which is an
  • IQ Biology grad student, Daniel McDonald recently returned from the Workshop on Genomics in the Czech Republic.
    This past January, I had an amazing opportunity to be an instructor at the Workshop on Genomics, and the associated advanced topic sessions, in the Czech Republic. The workshop was hosted in Cesky Krumlov, a UNESCO World Heritage site considered the
  • Biofrontiers computer scientist, Aaron Clauset, brings the power of computing to unlock biological mysteries. (Photo: Patrick Campbell, University of Colorado)
    Chasing the elegant solutionStereotypes tell us that computer scientists are all about hardware, software and servers. They are all about sifting through crowded lines of code in the dim basement of the engineering school. If this is
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