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Predicting the Social World in the Aggregate

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Rona-Tas,  Akos
Projekte von Gastwissenschaftlern und Postdoc-Stipendiaten, MPI for the Study of Societies, Max Planck Society;
Department of Sociology, University of California San Diego (UCSD), USA;

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mpifg_a18_1206.mp3
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引用

Rona-Tas, A. (2018). Predicting the Social World in the Aggregate. Talk presented at Scholar in Residence Lectures Series 2018. Köln. 2018-06-12.


引用: https://hdl.handle.net/21.11116/0000-0004-82A6-D
要旨
In recent years, the Western world has experienced a series of unexpected and highly consequential events, such as the 9/11 terror attacks, the 2008 financial collapse, the European refugee crisis, Brexit, and the election of Donald Trump, to name a few. These events were unanticipated by the general public, but also by most social scientists whose job would have been to foresee such events. One response has been to offer plausible ex post explanations for each instance and discover with hindsight what factors we should have looked at to make the right predictions. A second approach takes a much wider perspective and asks how we, and especially experts, make predictions and what broader consequences various predictive technologies carry. This line of research accepts that the future is fundamentally uncertain, and understands predictions as strategic devices.