Social Science Computer Review
Qualitative Research (General) | Research Methods & Evaluation (General) | Sociology (General)
Social Science Computer Review (SSCR) stands as a leader in interdisciplinary academic discourse, exploring the intersection of the social sciences and digital technologies. As a bi-monthly publication, SSCR delves into the multifaceted impacts and applications of digital technologies in social science education, research, and broader societal contexts. Focal areas include, but are not limited to:
- Digital Technologies and Media: Assessing the societal and behavioral impacts of digital technologies and communication platforms, including social media and emerging online communities.
- Information Technologies and Public Policy: Exploring the intersections between information technologies, public administration, and policymaking.
- Science, Knowledge, and Technology: Analyzing the historical or other contexts of evolving information technologies and policy.
- AI, Digital Technologies, and Research Methods: Investigating innovations in analyses using AI, computer-assisted survey methodologies, digital qualitative analysis, geographic information systems (GIS), and other online research tools as they relate to the social sciences.
Social Science Computer Review publishes a unique range of scholarship, including:
Original Research Articles: SSCR is interested in publishing original and rigorous research manuscripts of interest to an interdisciplinary audience.
Theoretical Innovations: SSCR is interested in publishing original theoretical innovations that apply to more than one discipline.
Research Reports: SSCR is interested in publishing short pieces that focus on innovative findings that are of interest to an interdisciplinary audience.
Symposiums: SSCR is interested in sponsoring special sections devoted to examining issues of current concern to social scientists using and researching digital technologies.
This journal is a member of the Committee on Publication Ethics (COPE).
Social Science Computer Review (SSCR) is an interdisciplinary journal covering the social science instructional and research applications of computing, as well as the societal impacts of informational technology. Topics include: artificial intelligence, business, computational social science theory, computer-assisted survey research, computer-based qualitative analysis, computer simulation, economic modeling, electronic modeling, electronic publishing, geographic information systems, instrumentation and research tools, public administration, social impacts of computing and telecommunications, software evaluation, and world-wide web resources for social scientists. Because the uses and impacts of computing are interdisciplinary, so too is the journal. SSCR is of direct relevance to scholars and scientists in a wide variety of disciplines, including sociology, anthropology, political science, economics, psychology, computer literacy, and computer applications and methodology.
Deana Rohlinger | Florida State University, USA |
Levi Mitizen | Florida State University, USA |
Michael Bosnjak | University of Mannheim, Germany |
Shelley Boulianne | University of Southampton, UK |
Orville V. Burton | Clemson University, USA |
Michael Chan | Chinese University of Hong Kong, Hong Kong |
Jenny Davis | Vanderbilt University, USA |
Gitika De | University of Delhi, India |
Jennifer Suzanne Earl | University of Delaware, USA |
Michael D. Fischer | University of Kent, UK |
Zhifan Luo | Concordia University, Canada |
Stephen M. Lyon | The Aga Khan University, UK |
Brian McKernan | Pace University, USA |
Patrick Rafail | Tulane University, USA |
Jeff T. Sheng | St. Mary's College of California, USA |
Yongjun Zhang | Stony Brook University, USA |
Ahmad Samed Al-Adwan | Al-Ahliyya Amman University, Jordan |
Mark R. Altaweel | University College London, UK |
Lonna Atkeson | Florida State University, USA |
Danielle Atkins | Florida State University, USA |
Rachel Bailey | Florida State University, USA |
Matthew Barnidge | University of Alabama, USA |
Jody C. Baumgartner | East Carolina University, USA |
Sukaina Bharwani | SEI Oxford, UK |
Mwenza Blell | Newcastle University, UK |
Nate Breznau | University of Bremen, Germany |
Meredith Broussard | New York University, USA |
Kaiping Chen | University of Wisconsin-Madison, USA |
Wenhong Chen | University of Texas at Austin, USA |
Pasquale De Meo | University of Messina, Italy |
William H. Dutton | University of Oxford, UK |
Arienne Ferchaud | Florida State University, USA |
Mila Gascó | University at Albany, State University of New York, USA |
Rachel Gibson | University of Manchester, UK |
Homero Gil de Zuniga | University of Salamanca, Spain & Pennsylvania State University, USA |
Kishonna L. Gray | University of Michigan, USA |
Marco Gui | University of Milano-Bicocca, Italy |
Eszter Hargittai | University of Zurich, Switzerland |
Summer Harlow | The University of Texas at Austin, USA |
Hans Hasell | Florida State University, USA |
Zhe He | Florida State University, USA |
Kate Kenski | University of Arizona, USA |
Florian Keusch | University of Mannheim, Germany |
Young-An Kim | Florida State University, USA |
Ziqi Li | Florida State University, USA |
Gina Masullo | The University of Texas at Austin, USA |
Alice Mattoni | University of Bologna, Italy |
Terrence McDonnell | University of Notre Dame, USA |
Shuyuan Ho Metcalfe | Florida State University, USA |
Matthew Pietryka | Florida State University, USA |
Ashby Plant | Florida State University, USA |
Brady Robards | Monash University, Australia |
Jayesh Soni | Florida International University, USA |
Tian Tang | Florida State University, USA |
Elly Truitt | University of Pennsylvania, USA |
Christian Vaccaro | Indiana University of Pennsylvania, USA |
Arne Weigold | Kent State University at Geauga, USA |
Oscar Westlund | Oslo Metropolitan University, Norway |
Raelene Wilding | La Trobe University, Australia |
Angela Xiao Wu | New York University, USA |
Dannagal Young | University of Delaware, USA |
Manuscript submission guidelines can be accessed on Sage Journals.