matnel

[matnel]

#higher education #academia

[matnel]

#future of work #collaboration #flexibility

[matnel]

#peer review

[matnel]

Tsai, W., & Ghoshal, S. (1998). SOCIAL CAPITAL AND VALUE CREATION: THE ROLE OF INTRAFIRM NETWORKS.

#social capital #social networks #innovation #organization

[matnel]

Cross, R., Borgatti, S. P., & Parker, A. (2002). Making Invisible Work Visible: Using Social Network Analysis to Support Strategic Collaboration.

Visualizing social network among expert groups helped them to change their collaboration practices.

#social network analysis #metaknowledge #knowledge work #organization

[matnel]

Decisions to interpret or to publish results will not be based on statistical thresholds. People will spend less time with statistical software, and more time thinking.

#p-value #statistics

[matnel]

One possibility is that we have all got stuck on a treadmill. Technology and globalisation mean that an increasing number of good jobs are winner-take-most competitions. - - Securing a place near the top of the income spectrum in such a firm, and remaining in it, is a matter of constant struggle and competition. Meanwhile the technological forces that enable a few elite firms to become dominant also allow work, in the form of those constantly pinging emails, to follow us everywhere.

#work

[matnel]

Hameleers, M., & van der Meer, T. G. L. A. (2019). Misinformation and Polarization in a High-Choice Media Environment: How Effective Are Political Fact-Checkers?

#misinformation #selection bias #selective exposure

[matnel]

Remember: it’s almost always about luck as well.

#academia #professional life #luck

[matnel]

Kearney, M. W. (2019). Analyzing change in network polarization.

#political polarization #twitter #polarization

[matnel]

Well... The dataset was large.

[matnel]

Measures of transparency are at risk of remaining empty signifiers if no critical and unbiased engagement emerges from their instalment. The key argument that this paper has thus developed is that uncoupling the value of transparency from the practical matter of how that transparency takes shape and how it is likely to be engaged with ultimately paints a limited picture. Measures toward algorithmic accountability are most effective if we consider them a property of socio-technical assemblages of people and machines. Within such assemblages, the value of transparency fundamentally depends on enlisting and maintaining critical and informed audiences.

Kemper, J., & Kolkman, D. (2018). Transparent to whom? No algorithmic accountability without a critical audience.

#critical data studies #critical algorithm studies

[matnel]

#academia

[matnel]

Normal scientific paradigms base their progress in part on the stabilization of certain analytical categories that are then taken for granted and used continually over time. And yet social scientists face the problem that the very nature of what they study changes over time, leaving basic categories potentially unsettled.

Karpf, D., Kreiss, D., Nielsen, R. K., & Powers, M. (2015). The role of qualitative methods in political communication research: Past, present, and future.

[matnel]

The Sketch that clarified a lot of things.

[matnel]

Brown, A. L. (1992). Design Experiments: Theoretical and Methodological Challenges in Creating Complex Interventions in Classroom Settings.

[matnel]

Kreuter, F., Haas, G.-C., Keusch, F., Bähr, S., & Trappmann, M. (2018). Collecting Survey and Smartphone Sensor Data With an App: Opportunities and Challenges Around Privacy and Informed Consent. Social Science Computer Review.

#computational social science #sensors #privacy #mobile phone