Dear all, note that you can submit your abstract for the 14th ESA Conference
<br>in Manchester, 20-23 August 2019, until 15 February 2019 (including the day of
<br>the 15th, until midnight UK time).
<br>
<br>Research Network 24 - Science and Technology welcomes any contribution on
<br>theory building on changing relations and co-constitution of science;
<br>technology and society; methodological advancements of qualitative and
<br>quantitative empirical social sciences to study interrelations of science;
<br>technology and society; sociological, philosophical, anthropological,
<br>historical, psychological, economic and political science analysis; science,
<br>technology and innovation policy studies.
<br>
<br>Examples of topics relevant for our sessions are:
<br>* * RN24_a - Science and Technology
<br>(Open Session)
<br>* * RN24_b - Science policy & national
<br>research systems
<br>* * RN24_c - Scientific careers and
<br>practices
<br>* * RN24_d - Science and the public
<br>* * RN24_e - Science, technology,
<br>innovation & society
<br>* * RN24_f - Gender in/equality in
<br>science and technology
<br>* * RN24_g - National & regional
<br>specificities and differences in science and technology
<br>* * RN24_h - Science, Technology &
<br>Education
<br>* * RN24_i - Health, bio-medicine &
<br>social context
<br>* * RN24_ j - Energy, climate change &
<br>sustainability
<br>* * RN24_k - Information Technologies
<br>and Society
<br>
<br>Gender, diversity and intersectionality perspectives are welcome. PhD
<br>students' submissions are especially encouraged. Authors are invited to submit
<br>their abstracts to the general session or a specific topic. Specific sessions
<br>will be created a posteriori.
<br>
<br>One specific session will be organised on the topic "Artificial Intelligence
<br>and machine learning". Some have suggested that machine learning platforms are
<br>giving rise to a so-called 'post-professional' society, where new
<br>constellations of expertise and evidence emerge. This session will bring
<br>together different viewpoints and perspectives on machine learning across
<br>different disciplines. Please indicate in your abstract submission, if you
<br>want to be included in this theme.
<br>
<br>We also host a joint Session with RN05 Sociology of Consumption
<br>JS_RN05_RN24: "Digitization, data and everyday life"
<br>
<br>Submit your abstract here:
<br>www.conftool.pro/esa2019
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