[ecrea] 2nd European Symposium on Societal Challenges in Computational Social Science

2nd European Symposium on Societal Challenges in Computational Social 
Science:

BIAS AND DISCRIMINATION

Euro CSS Symposium (#eurocss)

December 5-7, 2018

Cologne, Germany

Website: http://symposium.computationalsocialscience.eu

Easychair: https://easychair.org/conferences/?conf=csssymposium18

For inquiries: (css.eurosymposium /at/ gmail.com) 
<mailto:(css.eurosymposium /at/ gmail.com)>

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CALL FOR CONTRIBUTIONS

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For the 2nd European Symposium on Societal Challenges in Computational 
Social Science we are still looking for these types of submissions:

- creative ideas to work with the datasets in our DATASET CHALLENGE 
(deadline September 1)

- applications to participate in our DOCTORAL CONSORTIUM (deadline 
September 1)

- applications to present in the SCIENCE SLAM (deadline November 1)

Authors of accepted submissions in the dataset challenge and the 
doctoral consortium also qualify for applications for TRAVEL GRANTS 
(deadline September 1).

Below you will find information on how to apply for the different formats.

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CONFERENCE SCOPE

-------------------------------------

The Symposium is an interdisciplinary venue that brings together 
researchers from a diverse range of disciplines to contribute to the 
definition and exploration of the societal challenges in Computational 
Social Science, especially around the topics of inequality and imbalance.

We welcome submissions in the intersection of the social sciences and 
the computer sciences, including (a) new approaches for understanding 
social phenomena and addressing societal challenges, (b) improving 
methods for computational social science, (c) and understanding the 
influence of the Web and digital technologies on society.

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DATASET CHALLENGE

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Submission deadline: September 1, 2018

Submit via Easychair: https://easychair.org/conferences/?conf=csssymposium18

We provide links to three suggested datasets on the topic of political 
communication and ask participants to creatively and innovatively engage 
with these datasets. A jury will select the best presentation (including 
any created resources, such as secondary datasets or analysis code) to 
be awarded the very first Euro CSS Dataset Challenge Award.

The work presented at the symposium can be early stage, but should be 
methodically sound and provide either preliminary insights into an 
interesting research question or first inductively-reached conclusions 
of systematic patterns of bias in the dataset. These can also be on a 
meta-level or may be designated to positioning the work in broader 
theoretical contexts, e.g., about biases in the data collection.

Submissions should be abstracts of approx. 2-3 pages (maximum up to 1000 
words plus references and figures).

The full call can be found here: 
http://symposium.computationalsocialscience.eu/2018/#data

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DOCTORAL CONSORTIUM

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Submission deadline: September 1, 2018

Submit via Easychair: https://easychair.org/conferences/?conf=csssymposium18

Please submit a PDF file of up to approx. 1000 words with the following 
information:
– an abstract of the PhD thesis topic including information about the 
research question, applied methods and the current state of progress
– a short paragraph about the applicant’s biography
– a paragraph on open questions that the applicant would want to discuss 
with experts in the field

The full call can be found here: 
http://symposium.computationalsocialscience.eu/2018/#consortium

--------------------------------

SCIENCE SLAM

--------------------------------

Submission deadline: November 1, 2018

Submit via email: (garcia /at/ csh.ac.at) <mailto:(garcia /at/ csh.ac.at)>

A Science Slam is an epic scientific event where scientists compete with 
short talks on their research. It's just like a poetry slam, but with 
science instead of poems. Slammers are completely free to do whatever 
they want on stage, everything is allowed including slides, games, the 
more creative, the better! The only two rules are: 1) The topic of the 
slam has to be related to data science / computational social science or 
to social media, online data or digital behavioral data, and 2) 
Presentations should not take more than 8 minutes.

The EuroCSS Science Slam will take place in the evening of December 5th 
in Die Wohngemeinschaft (https://www.die-wohngemeinschaft.net/en/). To 
present, send an email to (garcia /at/ csh.ac.at) <mailto:(garcia /at/ csh.ac.at)>with 
a short proposal of your topic for the slam and we will contact you.  We 
will choose the best slammer candidates, based on (i) the scientific 
quality, on (ii) the novelty of the topic, and on (iii) the potential 
for giving an engaging talk.

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TRAVEL GRANTS

--------------------------------

Submission deadline: September 1, 2018

Submit via email: (css.eurosymposium /at/ gmail.com) 
<mailto:(css.eurosymposium /at/ gmail.com)>

Due to the generous funding by Volkswagen Foundation we are able to 
offer a limited number of travel grants to researchers whose submissions 
are accepted for the symposium (presenters of talks or posters at the 
main symposium, workshop or tutorial organizers, participants of 
doctoral consortium and dataset challenge).

To apply for a travel grant please send an email with the subject 
“Travel Grant” to (css.eurosymposium /at/ gmail.com) 
<mailto:(css.eurosymposium /at/ gmail.com)> including the following 
information: a) your submission number in EasyChair or the title of your 
submitted workshop/tutorial, b) your contact details, c) your motivation 
for the grant application and d) whether you will still attend the 
symposium without a travel grant.

More information can be found here: 
http://symposium.computationalsocialscience.eu/2018/#grants

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ORGANISERS

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SYMPOSIUM CHAIRS

Katrin Weller

Markus Strohmaier

MENTORS FOR DOCTORAL CONSORTIUM

Sandra González-Bailón

Jürgen Pfeffer

DATASET CHALLENGE CHAIRS

Fabian Flöck

Juhi Kulshrestha

SCIENCE SLAM

David Garcia

David Brodesser

ORGANIZING COMMITTEE

Katrin Weller

Markus Strohmaier

Luca Maria Aiello

David Garcia

Frank Schweitzer

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