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Computer Science

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  • 26 Feb 2018
    Ian Thompson

    What makes an expert?

    In days of 8-bit computers, one would sometimes encounter individuals who knew everything about a particular device or piece of software. Single programmers wrote entire applications or games, and some could debug their work by looking directly at a core dump (a printout of the numbers stored in the computer’s memory). Some even managed to […]

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  • 28 Nov 2017
    Tandy Warnow

    Computational phylogenetics for algorithms designers

    Phylogenetic trees and multiple sequence alignments are used in many biological analyses, including protein structure and function prediction, microbiome analysis, and the inference of human migrations. Yet, constructing these trees and alignments turns out to be much more difficult than expected on large datasets. Tandy Warnow explores these difficulties and how algorithm designers can best develop new methods to address these issues.

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  • 26 Oct 2017
    Richard Lyon

    Extracting Meaning from Sound — Computer Scientists and Hearing Scientists Come Together Right Now

    Machines that listen to us, hear us, and act on what they hear are becoming common in our homes.. So far, however, they are only interested in what we say, not how we say it, where we say it, or what other sounds they hear. Richard Lyon describes where we go from here.

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  • 19 Oct 2017
    Ryen White

    How do we interact with search systems?

    Search systems, including web search engines, play an important role in decision making and action in many settings. Over the next decade and beyond, people will interact with search systems in new ways. Ryen White tells us how.

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  • 1 May 2017
    Robert Harper

    What, if anything, is a programming paradigm?

    Everyone who writes about programming languages seeks to impose order on the chaos of extant languages. A common strategy is to borrow Thomas Kuhn’s concept of a scientific paradigm, itself a not uncontroversial attempt to explain the social processes of science in his famous book entitled The Structure of Scientific Revolutions (Kuhn, 1975). Following Kuhn, […]

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  • 18 Apr 2017
    Jérôme Lang, Ulle Endriss, Ariel D. Procaccia, Vincent Conitzer, Felix Brandt

    Computational Social Choice at a Glance

    Over the last two decades, the computational social choice research community has grown from a handful of enthusiasts to hundreds of researchers, who have painted a beautiful picture of the interaction between collective decision making and computer science. Our work on the Handbook of Computational Social Choice was motivated by the desire to celebrate the field’s […]

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  • 4 Apr 2017
    Milan Vojnovic

    5 minutes with Milan Vojnovic

    An interview with 'Contest Theory' author Milan Vojnovic. His new books offers a comprehensive coverage of contest theory developed in the areas of economics, computer science and statistics.

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  • 4 Apr 2017
    Jose Hernandez-Orallo

    Warning! Intelligence Not Included

    Jose Hernandez-Orallo, author of 'The Measure of All Minds' (2017) gives insight into the future of AI systems, and whether we should be wary of them.

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