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:
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
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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.
