Call for Book Chapters: Computational Social Science in the
Age of Big Data
Deadline: 30 June 2016
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
- Methodology
- 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@dgof.de and/or
cstuetze@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@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@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@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@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.
