[Previous message][Next message][Back to index]
[ecrea] Call for Papers - Big Data Section, ECPR General Conference 2018
Wed Dec 27 12:56:14 GMT 2017
In occasion of the next ECPR General Conference (22-25 August 2018,
Hamburg) we invite papers for any of the panels in the section
"Political Sciences and the Big Data Challenge From Big Data in Politics
to the Politics of Big Data". More detailed info on panels and the
overall section can be found below.
Please submit paper proposals to (elena.pavan /at/ sns.it)
<mailto:(elena.pavan /at/ sns.it)> and (alice.mattoni /at/ sns.it)
<mailto:(alice.mattoni /at/ sns.it)> by *January, 30^th 2018* including the
following info:
- papers titles, abstracts (no more than 500 words) and 3 keywords
- institutional affiliation
- institutional email address
We will then arrange the selected papers in panels and submit them to
the ECPR via their electronic platform.
Please note that paper authors must be registered in the ECPR electronic
platform with the email address they will include in the paper proposals.
***
*CALL**FOR PAPERS*
*ECPR General Conference – 22-25 August 2018, Hamburg*
**
*Section title: Political Sciences and the Big Data Challenge From Big
Data in Politics to the Politics of Big Data*
*Section organizers*
Chair: Elena Pavan, Scuola Normale Superiore
Co-chair: Alice Mattoni, Scuola Normale Superiore
*Section outline and themes*
In continuity with the successful set of Panels organized during the
2017 ECPR General Conference in Oslo, the Section aims to offer a space
within the ECPR context to critically discuss the nexus between Big Data
and political science. It will do so by promoting a theoretically
informed and empirically sound discussion along three lines of
reflection. First, the Section will deal with the potentialities and the
limitations of using large-scale datasets and supervised and
unsupervised analytic techniques for leveraging our understanding of
political dynamics from party dynamics, to political communications, to
social movements and digital activism. Second, by considering Big Data
as a complex set of cultural, political and scientific knowledge
practices, the Section will offer an occasion to engage with the modes
in which Big Data become a “political object” that is critically
addressed by contentious grassroots efforts but also dealt within more
conventional governance processes. Finally, the Section confronts the
outcomes of Big Data usages in the political realm oscillating between
enhanced accountability on the side of institutions and the reduction of
citizens and their will to objectified data-assemblages that are
mechanically treated rather than constructively accounted for. The
Section comprises a set of Panels that aim to foster the convergence of
scholars and researchers currently working on the value of Big Data for
studying politics but also on the forms and the impacts of the politics
of Big Data employing different theoretical, empirical and
methodological approaches on Big Data.
*1. Big data for the study of political participation
*Chair: Alexandra Segerberg
This Panel looks at how Big Data and related methodological and
analytical practices can leverage our understanding of political
mobilization and participation – from social movements to voting
behaviours. While more traditional forms of collective action still
exist, activists lean increasingly on web-based platforms and internet
services that produce Big Data flows worldwide. Moreover, Big Data are
increasingly considered a fundamental component of electoral campaigns,
governmental and legislative dynamics as well as of the interactions
between political leaders with their constituencies. To shed light on
this complex context, the Panel hosts Papers that investigate to what
extent Big Data are changing the way in which conventional and
unconventional forms of political participation can be investigated from
a broad array of methodological lenses, in different national contexts,
transnationally or fluidly across the online/offline boundary.
*2. From data-activism to data justice. The contentious politics of Big Data
*Chair: Stefania Milan
Big Data are not a neutral field of practice and knowledge. When
engaging with Big Data, political actors develop specific arrays of
data-related practices that construct, manipulate, and even subvert
their political relevance. In so doing, the same political actors evoke
specific, and sometimes contrasting, understanding of what datafication
processes means in and for politics, both today and in the near future.
Thus, Big Data become an object of political contestation that fosters
the emergence of new collective actors and, at the same time, intersects
longer-term mobilizations in other fields - e.g. labour, women and
environmental issues. To grasp the multiple lines of contention that
characterize Big Data in grassroots politics, the Panel hosts Papers
that investigate the relationship between Big Data cultures and
practices in different arenas of contention from an empirical
perspective in different national and transnational contexts relying on
qualitative, quantitative or mixed methods approaches.
*3. Big data Governance and Policies
*Chair: Lina Dencik
Data increasingly regulate our lives. We are assessed, ranked, profiled
and categorized according to data that is collected about us. These
assessments enable - or limit - our access to services and our ability
to cross borders; they define us as potential 'risk'; and they affect
core aspects of citizenship. New publics are created and receive
differential treatment based on data analysis. While data regulate
society, the regulation of data is becoming a pressing concern. Policies
are required for data collection, sharing and analysis, and struggles
over policy development have picked up, not least, since the Snowden
revelations. Against this backdrop, this Panel invites Paper addressing
the role of big data as both tools for and objects of governance
processes at different levels - from the national to the supranational ones.
*4. The outcomes of big data in politics: from the accountability of
institutions to the invisibility of the citizens
*Chair: Alice Mattoni
In the past few years, a wide array of online services and platforms
that rest on Big Data became available that promised to render citizens’
voices more visible within governmental institutions through the
enhancement of different mechanisms: from citizens’ monitoring
capabilities aimed at increasing accountability to participatory policy
making including citizens’ viewpoints. In this respect, while Big Data
might offer empowering opportunities, it is also likely that
governmental institutions would ignore, silence or even reduce to
objectified data-assemblages grassroots creative usages of Big Data. To
cast light on the outcomes of Big Data usages at the crossroads between
governmental institutions and grassroots citizens initiatives, the Panel
hosts Papers that empirically address how Big Data might (or not)
increase the accountability and transparency of political institutions
at the local, national and transnational levels.
*How to submit a paper*
Please submit paper proposals to (elena.pavan /at/ sns.it)
<mailto:(elena.pavan /at/ sns.it)> and (alice.mattoni /at/ sns.it)
<mailto:(alice.mattoni /at/ sns.it)> by *January 30^th, 2018* including the
following info:
- papers titles, abstracts (no more than 500 words), and 3-8 keywords
- institutional affiliation
- institutional email address
We will then arrange the selected papers in panels and submit them to
the ECPR via their electronic platform. Please note that *paper authors
must be registered in the ECPR electronic platform with the email
address they will include in the paper proposals*.
---------------
The COMMLIST
---------------
This mailing list is a free service offered by Nico Carpentier. Please
use it responsibly and wisely.
--
To subscribe or unsubscribe, please visit http://commlist.org/
--
Before sending a posting request, please always read the guidelines at
http://commlist.org/
--
To contact the mailing list manager:
Email: (nico.carpentier /at/ vub.ac.be)
URL: http://nicocarpentier.net
---------------
[Previous message][Next message][Back to index]