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30 June 2021
Special Issue of the Journal of Computational and Graphical Statistics on Algorithms, Institutions, and Inequality
The Journal of Computational and Graphical Statistics solicits submissions for a special issue on Algorithms, Institutions, and Inequality.
Increasingly complex algorithms enable specialized predictions based on intricate nuances of a healthcare record, browsing history, or genome. When deployed at scale, however, highly targeted and computationally complex methods influence decisions that intersect with and shape social institutions and systems. The Covid-19 pandemic and the increased attention to racialized policing brought about by the death of George Floyd underscore the disparate interactions these systems have with individuals’ lives and livelihoods across race, class, and other identities.
This issue explores the role of computational methodology, and its implementation in institutions and policy, in revealing, addressing, and perpetuating systemic inequity in contemporary society. Appropriate papers will propose novel methodology in computation and/or graphics motivated by or with substantial contribution to this theme. Papers that explore the mechanisms through which computational methods influence social systems, with a particular emphasis on inequity inequality, are also appropriate for this issue.
Topics of interest include, but are not limited to:
- Computationally feasible approaches to identify imbalances in worker mobility from large-scale administrative data
- Measures of bias in academic publications, grant reviewing, or other peer-reviewed scholarship
- Visualizing heterogeneity in high dimensional spatial maps of neighborhood segregation
- Predictive models for policing and recidivism and their implications
- Decision support tools to address disparities in health outcomes
- Efficient matching models to understand wage heterogeneity
- Representation and structural features of educational systems and pedagogical approaches that perpetuate bias
- Bias and racism in language generation models
- Complex models used in teacher evaluation and education reform based on sparse or biased education data
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Papers will be handled by a Guest Editorial Board in conjunction with the standing JCGS Associate Editors and Editor. The Guest Board will be named by December 2020 and submissions received by June 30, 2021 will receive full consideration. Authors with papers in progress that will not be ready by this timeline should contact the Guest Editorial Board to discuss the possibility of an extended timeline. Papers should be submitted through the JCGS website as designated for the special issue as the manuscript type. For questions or more information, please contact Tyler McCormick.
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