Proceedings of the Weizenbaum Conference 2019: Challenges of Digital Inequality

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Auflistung Proceedings of the Weizenbaum Conference 2019: Challenges of Digital Inequality nach Forschungsbereichen "Mensch – Arbeit – Wissen"

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    Citizen Science and the Dissolution of Inequalities in Scientific Knowledge Production
    (Weizenbaum Institute, 2019) Wünsche, Hannes; Schimmler, Sonja
    Recently, a larger public has started to critically discuss scientific knowledge and its role in political decision making. In this discussion, scientific and civic epistemologies are put into connection with each other. Just as post-democratic theory argues in relation to political decisions, the production of scientific knowledge is criticized as a non-inclusive process, too. The Citizen Science movement tries to resolve this deficit by involving citizens into research. In this paper, we introduce agency as an analytical category into the discussion, focussing on how participants are represented in Citizen Science. We highlight the interdependencies between the degree of agency granted to the participants in Citizen Science projects and the degree of their representation in knowledge production.
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    Growing Open Science with the Combined Potential of Citizen Science and Auto Science
    (Weizenbaum Institute, 2019) Schimmler, Sonja; Kirstein, Fabian; Urbanek, Sebastian; Wünsche, Hannes; Hauswirth, Manfred
    In this paper, we present our ideas on how to best support researchers in every phase of the research process when dealing with their research data. We propose a Research Data Portal as the central data infrastructure. With the help of this portal, a researcher can easily manage and update his or her research data, share it with collaborators, and reach out to the public. We further propose a Citizen Science Portal, which includes some new and innovative concepts and methods. In this portal, Citizen Science and Auto Science concepts are applied, and support to bring together the best of both worlds is provided. Citizen Science promises to entail the individual (scientists and hobby scientists) to help with research. Auto Science is meant to help analyze research data, e.g., to help publish the data and to help improve its quality, by applying methods from artificial intelligence.
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    Unequal Training Participation and Training Experience at the Digital Work Place - an Interdisciplinary Study
    (Weizenbaum Institute, 2019) Vladova, Gergana; Wotschack, Philip
    Despite technological progress and the resulting changes, the human actor remains the decisive critical factor for the economic success of companies. This paper presents an interdisciplinary approach and research design to examine issues of unequal access to training in the new digital workplace. The research project combines an in-depth state-of-the-art study with an experimental design that tests in a lab environment how learning barriers can be tackled by manipulating the educational situation. In a final step, the methods developed and the results of the experiment are implemented and evaluated in the real situation using the example of one or more companies. The aim of the study is to identify possibilities for different actors in companies to better design working and learning conditions.
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    When do Companies Train Low Skilled Workers? The Role of Technological Change, Human Resources Practices, and Institutional Arrangements
    (Weizenbaum Institute, 2019) Wotschack, Philip
    The article investigates the role of technological change, HR practices, and institutional organizational differences in training participation of low skilled workers in Germany. By building on institutional theories four hypotheses are derived and tested. Regression analysis based on the IAB Establishment Survey (wave 2011 and 2013) show evidence that the training participation of low skilled workers is shaped by organizational characteristics in terms of advanced production technology, investments in EDP, organizational or technological innovation, institutionalized arrangements and HR policies. While the effects of technology and innovations are of short-term nature, institutionalized arrangements in terms of employee representations and formalized HR practices have an enduring effect: They are positively associated with both a higher likelihood of training investments in low skilled workers and higher rates of continuing training participation among low skilled workers in 2011 and 2013.
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    “You are too Old (Not) to Learn” - A Critical Reconsideration of “Older Employees”
    (Weizenbaum Institute, 2019) Teichmann, Malte; Matthiessen, Julia; Vladova, Gergana
    Todays working environment faces the major challenges of demographical change and digitalization. Deficit-oriented stereotypes question the ability of older employees to keep pace with these technological innovations. Consequently, the elderly are perceived as less valuable for the company leading to fewer vocational training offers. Facing this dilemma, this contribution aims at uncovering the prevailing stereotypes against older employees and present a new approach of looking at older generations. Focusing existing experienced-based knowledge instead of assumed deficits as a starting point for further didactical work and research, basics of age-appropriate vocational training get pointed out in order to raise target group specific potentials in the context of the challenges of digitalization.