Special Issue Call for Papers: Big Data and Computational Sociology

Big data, machine learning,  and augmented intelligence offers the potential to be a new frontier for academic innovation. The increasing importance of computational social science is becoming evident across a variety of different disciplines including criminology, communication, demography, epidemiology, geography, political science and sociology.

As a result of modern technologies, new media and increasing needs for information, the amount of digital data about human behaviors, social relationships, attitudes and opinions (e.g., administrative records, Twitter/Facebook posts, online reviews, newspaper articles, geotagging) has grown exponentially. To explore the rich information embedded in these massive amounts of data, there are both societal and scholarly demands to implement innovative research projects beyond traditional research settings in sociology.

Canada’s world-leading expertise in big data and machine learning in other disciplines, such as computer science, has yet to be translated into sustained and productive interdisciplinary collaborations with sociologists: most sociologically relevant works on big data are implemented by computer scientists, mathematicians or statisticians. Although these works have greatly informed sociologists about the new innovation frontier, they have been criticized for not engaging with specific conceptual frameworks and theoretical foundations in sociology, and being marred with biases of those coding and analyzing the data.

The aim of the themed section is to facilitate interdisciplinary relations between the sociological imagination and big-data consciousness, and thus gain a better understanding of various aspects (e.g., migration, environmentalism, family, social networks, social capital, social movements, social stratification) of Canadian society using big-data analytics and innovative computational methods (such as deep learning, text and data mining, kernel methods, etc.).

Potential authors should submit a one-page abstract describing their potential paper to the guest editors by November 1st, 2019.

Full manuscripts are due May 1st, 2020.

All manuscripts must follow the submission guidelines of the Canadian Review of Sociology, should be submitted through the journal’s site: https://www.csa-scs.ca/canadian-review/ , and will be peer reviewed.

Qiang Fu
Department of Sociology
The University of British Columbia
Email

 

David Tindall
Department of Sociology
The University of British Columbia
Email

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