Europe Chapter

Registration now open: "Information Science Trends: Search Engines and Information Retrieval", Hamburg, 26 April 2019

  • 1.  Registration now open: "Information Science Trends: Search Engines and Information Retrieval", Hamburg, 26 April 2019

    Posted 04-03-2019 06:45
    Dear colleagues,

    Join us for a day of exciting talks and discussions on search engines and information retrieval!

    (Free) registration is now open for the ASIS&T European Chapter event "Information Science Trends: Search Engines and Information Retrieval" in Hamburg, Germany, on Friday, 26 April 2019.

    Please register at
    https://www.eventbrite.de/e/information-science-trends-search-engines-and-information-retrieval-tickets-58978348829

    The event will take place at
    Hamburg University of Applied Sciences
    Kunst- und Mediencampus Hamburg
    Finkenau 35
    22081 Hamburg
    Germany

    Program:

    9:30 AM
    Registration

    10:00 AM
    Welcome and opening remarks

    10:15 AM
    Keynote
    Prof. Olof Sundin, Lund University, Sweden
    Invisible Search in Everyday Life
    How can we understand search and search engines in everyday life? In his lecture Sundin will introduce and discuss some key concepts from his  new book Invisible Search and Online Search Engines: The Ubiquity of Search in Everyday Life (2019, with Jutta Haider); specifically he will elucidate the notions friction of relevance and infrastructural meaning-making. The lecture broadens a traditional understanding of searching in information science by locating searching squarely in society and as entwined with the conditions of everyday life.

    11:30 AM
    Dirk Lewandowski, Hamburg University of Applied Sciences, Germany
    A call for fair search engines
    Search engines like Google have a massive influence on what information users get to see, and on what search results users select. It has been often lamented that search engines are biased. I, however, argue that we have only scratched the surface because search engine bias is a multifaceted concept and the discussion usually solely focuses on some aspects. Further to giving an overview of the topic, I will show how search engine providers (and regulators) can take steps towards making search fair. Whereas a bias-free search engine is impossible, a fair search is. Here, I will not only focus on the big web search engines but also on how developers and product owners can make their search systems fair.

    12:30 PM
    Lunch 
    1:30 PM
    Emmy Le, Otto GmbH & Co. KG, Hamburg, Germany
    Product Search at otto.de
    OTTO is one of the largest full-range online retailer in Germany with over 2.9 million products. Thus the internal on-site product search with more than 1 million search queries per day is the most critical feature to make relevant products and information easy to find. Achieving the right balance between business, measuring search quality and user needs can be quite challenging when building an ecommerce search engine. How we at OTTO respond to these challenges will be part of this talk.

    02:15 PM
    Short presentations

    Astrid Mager, Institute of Technology Assessment, Wien, Austria
    Alternative search engines as drivers for social change?

    Ingo Knuth, Janina Masuhr, Hochschule für Medien, Kommunikation und Wirtschaft, Berlin, Germany
    Decision Drivers for Search Engine Usage – The Role of the Lock-in Effects

    Christiane Behnert, Hamburg University of Applied Sciences, Germany
    Influences on the relevance judgment process in academic search systems

    More short presentations tba.


    04:00 PM
    Coffee Break

    4:30 PM
    ASIS&T presentation: ASIS&T, the European Chapter, the European Student Chapter


    04:45 PM
    Tom Alby, Euler Hermes, Hamburg, Germany
    Data Science in Search Engine Development
    Machine Learning has been an essential part of large-scale search engine development even before the term "data science" was coined. With the increasing interest in data science and artificial intelligence, the impact of self-learning algorithms on search engine development, relevance and transparency has to be reviewed. In addition, what is the chance for new search engines to succeed without the vast amount of data that has already been collected?


    05:45 PM
    Closing remarks





    Kind regards,
    Dirk Lewandowski





    Prof. Dr. Dirk Lewandowski

    T +49 40 428 75 36 21
    Skype: dirk.lewandowski
    Twitter: @Dirk_Lew

    HAMBURG UNIVERSITY OF APPLIED SCIENCES
    Faculty Design, Media and Information
    Department of Information
    Finkenau 35  / 22081 Hamburg  / Germany
    http://www.searchstudies.org/dirk

    Suchmaschinen verstehen, 2. Auflage:
    http://suchmaschinen-verstehen.de

    Editor, Aslib Journal of Information Management
    http://www.emeraldgrouppublishing.com/products/journals/journals.htm?id=AJIM






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    Dirk Lewandowski
    Hamburg University of Applied
    Hamburg, HH
    Germany
    dirk.lewandowski@haw-hamburg.de
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