Browsing by Subject "platform"

Sort by: Order: Results:

Now showing items 1-2 of 2
  • Salmela, Mikko; MacLeod, Miles; Munck af Rosenschöld, Johan (2021)
    Interdisciplinarity is widely considered necessary to solving many contemporary problems, and new funding structures and instruments have been created to encourage interdisciplinary research at universities. In this article, we study a small technical university specializing in green technology which implemented a strategy aimed at promoting and developing interdisciplinary collaboration. It did so by reallocating its internal research funds for at least five years to “research platforms” that required researchers from at least two of the three schools within the university to participate. Using data from semi-structured interviews from researchers in three of these platforms, we identify specific tensions that the strategy has generated in this case: (1) in the allocation of platform resources, (2) in the division of labor and disciplinary relations, (3) in choices over scientific output and academic careers. We further show how the particular platform format exacerbates the identified tensions in our case. We suggest that certain features of the current platform policy incentivize shallow interdisciplinary interactions, highlighting potential limits on the value of attempting to push for interdisciplinarity through internal funding.
  • Ruckenstein, Minna; Turunen, Linda (2020)
    With the goal of re-humanizing discussion platform operations, this study explores the knowledge and aims of commercial content moderators by reframing their work-related ideals through the notion of the “logic of care.” In seeking to expand their professional realm by realigning users, moderators, and technical tools, moderators of discussion forums have turned to machines, ideally freeing up resources for real-time interaction between moderators and those who post. By focusing on care, the study calls for technical innovation that integrates moderators’ aims with artificial intelligence systems. Rather than acknowledging human skills and resources in terms of moderation tools and discussion culture, the current platform logic forces moderators to operate like machines. Their discontent becomes understandable within a logic that diminishes their skills and vision. The moderator is left with assessing separate posts, rather than offering a meta-perspective to the discussion, overseeing and nurturing it.