[Air-L] [bms-rc33] Call - Book Chapters, "Computational Social Science in the Age of Big Data" (fwd)

Barry Wellman wellman at chass.utoronto.ca
Fri Jun 24 10:59:31 PDT 2016

   Barry Wellman

    A vision is just a vision if it's only in your head
    Step by step, link by link, putting it together
   NetLab Network                 FRSC                      INSNA Founder
   http://www.chass.utoronto.ca/~wellman           twitter: @barrywellman
   NETWORKED: The New Social Operating System  Lee Rainie & Barry Wellman

---------- Forwarded message ----------
Date: Fri, 24 Jun 2016 19:05:32 +0200
From: VAN METER Karl <karl.vanmeter at ens.fr>
Reply-To: bms-rc33 at services.cnrs.fr, VAN METER Karl <karl.vanmeter at ens.fr>
To: bms-rc33 at services.cnrs.fr, aimsl at services.cnrs.fr, jourdan at ens.fr
Cc: cstuetze at uni-mainz.de, office at dgof.de
Subject: [bms-rc33] Call - Book Chapters,
     "Computational Social Science in the Age of Big Data"

>> Consider submitting your methodologically interesting articles to the BMS <<

Deadline: 30 June 2016

Call for Book Chapters: Computational Social Science in the Age of Big Data

1.    Working Title of Book

Computational Social Science in the Age of Big Data. Concepts, Methodologies, 
Tools, and Applications

2.    Publisher

Herbert von Halem Verlag (Cologne, Germany), in Neue Schriften zur 
Online-Forschung of the German Society for Online Research (DGOF); expected 
publication in 2017.

3.    Editorial Board
Cathleen M. Stuetzer (JGU Mainz, Institute for Sociology)
Martin Welker (HMKW Cologne, Journalism and Communication Science)
Marc Egger, INSIUS Berlin

4.   Description and Purpose of the Book
In the digital age the exponential growth in the amount of data brings out new 
forms of social science research by using computational techniques to handle 
and manage big data sources. The book will demonstrate how data analysts both 
from academia and business analyze large and complex masses of data by taking a 
multidisciplinary approach. It will uncover cutting-edge analysis techniques 
and methods for searching and using large data sets within different 
disciplines like sociology, information science, communication science, health, 
education, political science, psychology, economics, and other fields. The 
rapid emergence of computational social science as new discipline shows the 
potential need to discuss innovative approaches and new techniques to 
understand our complex social system (Lazer et al. 2009). Data scientists, 
researchers, as well as professional data analysts from different fields look 
for theoretical concepts, methodological approaches, instruments, and tools to 
make large-scale and complex data available for research on human behavior 
(Alvarez 2016; CioffiRevilla 2010; Conte et al. 2012). The purpose of the book 
is to summarize the current state of knowledge about meaning, development, and 
uses of computational social science in the context of big data. The book will 
bring together the status quo of theoretical background, concepts, 
methodological approaches, instruments, tools as well as applications and 
empirical-based research studies. The audience of this book are the academic as 
well as commercial sector researchers, commercials, students, and teachers who 
have begun using big data to examine human behavior online.

5.   Submission procedure for chapter proposals and Notification

Each chapter should contain a critical review of literature on the topic of the 
chapter, summarize and evaluate what is known about it, report research 
findings, identify important gaps of knowledge as well as make suggestions for 
future research.

A subset of possible chapter topics include:

    Concepts and Theoretical aspects
    Analytical Instruments & Techniques
    Tools & Applications
    Big Data Analytics
    Business Analytics
    Data Science
    Behavioral Science
    Data Mining
    Data Visualization
    Data Analysis
    Data Sharing
    Data Storage
    Information Retrieval Methods
    Security and Privacy issues
    Case Studies.

Submissions should be in German or in English and must include the title, 
author(s) name, affiliation(s), e-mail address(es), tel/fax numbers, and e-mail 
address, postal address(es), and abstract on the first page. In the case of 
multiple authors, all names, addresses, etc. must accompany the submission and 
a single author must be identified as the primary point of contact.

Submissions must be sent as an e-mail attachment to Cathleen Stuetzer using the 
e-mail address office at dgof.de and/or cstuetze at uni-mainz.de.

Chapter Proposal Length: max. 3 pages, Format: Adobe PDF

All chapter proposals will be evaluated by a committee of experts before 
author(s) are being invited to submit the full book chapter. Papers will be 
selected based on their originality, relevance, and clarity of presentation. 
Authors should certify that their papers represents substantially new 
previously unpublished work.

Chapters must not have been published elsewhere. Unpublished conference 
presentations are acceptable. Published conference presentations (e.g. in a 
proceedings volume) may be acceptable if the full copyright can be transferred. 
If submitting a published conference presentation, the author(s) must provide 
proof that the article's full copyright can be transferred.

6.  Important Dates and Anticipated Deadlines for Chapters
Chapter Proposal Submission Deadline: June 30, 2016
Notification of Chapter Proposal Acceptance/Rejection: August 1, 2016
Final Book Chapter Submission Deadline (Revised Version Due): December 15, 2016
Final Notification of Acceptance/Rejection: April 1, 2017
Final Camera-Ready Version Deadline: June 30, 2017
Publication Date (tentative): Summer 2017
The chapter proposal should be sent via email to office at dgof.de no later than 
June 30, 2016. These papers will be examined in an academic review process by a 
committee of experts. A confirmation of receipt of the submission will be sent 
within three days, and if you do not receive the confirmation please resend the 
email and/or contact Cathleen Stuetzer (cstuetze at uni-mainz.de).

Notification regarding the status of each proposal will be sent by August 1, 
2016 to all those who submitted a chapter proposal. At that time authors whose 
chapter proposals have been accepted will also be e-mailed guidelines regarding 
full book chapter preparation.

The final book chapter deadline is December 15, 2016. Following receipt, full 
chapters will be sent out for double-blind review. The editors will make the 
final decision regarding final acceptance of each book chapter until April 1, 
2017. All chapters with revision requests (if necessary) need to be completed 
by June 30, 2017.

7.    Inquiries should be directed to

Dr. Cathleen M. Stuetzer

Board Member of the German Society for Online Research (DGOF)
Internet: www.dgof.de, Email (DGOF-Office): office at dgof.de

  Johannes Gutenberg University Mainz, Institute for Sociology
  Department of Social Network Research and Sociology of the Family
  Office: Jakob-Welder-Weg 12, Georg Forster-Gebäude
  Room: 03.443 (GFG), D-55099 Mainz, Germany
  Phone: +49 6131 39 29397
  Email: cstuetze at uni-mainz.de

8.    Further information are available here

Website: https://sites.google.com/site/cfpcomputationalsocialsciences

Publisher: http://www.halem-verlag.de/2015/neue-schriften-zur-online-forschung

Additional Information: www.dgof.de

9.    References
Alvarez, R. M. 2016. Computational Social Science: Cambridge University Press.
CioffiRevilla, C. 2010. Computational social science. Wiley Interdisciplinary 
Reviews: Computational Statistics (2), S. 259-271.
Conte, R., N. Gilbert, G. Bonelli, C. Cioffi-Revilla, G. Deffuant, J. Kertesz, 
V. Loreto, S. Moat, J. P. Nadal, A. Sanchez, A. Nowak, A. Flache, M. San 
Miguel, und D. Helbing. 2012. Manifesto of computational social science. The 
European Physical Journal Special Topics (214), S. 325-346.
Lazer, D., A. Pentland, L. Adamic, S. Aral, A. L. Barabasi, D. Brewer, N. 
Christakis, N. Contractor, J. Fowler, M. Gutmann, T. Jebara, G. King, M. Macy, 
D. Roy, und M. Van Alstyne. 2009. Life in the network: the coming age of 
computational social science. Science (New York, N.Y.) (323), S. 721-723.

* Karl M. van Meter              BMS, Bulletin de Methodologie Sociologique
* karl.vanmeter at ens.fr           (Bulletin of Sociological Methodology)
* tel 33 (0)1 43 25 26 57        Web http://bms.sagepub.com
*                                Blog http://karlvanmeter.wordpress.com/
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*                   http://ens.academia.edu/KarlMvanMeter

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