Editorial: Data Science Meets Social Sciences
Volume 20, Issue 3 (2022): Special Issue: Data Science Meets Social Sciences, pp. 277–278
Pub. online: 21 July 2022
Type: Editorial
Open Access
Open Access
Published
21 July 2022
21 July 2022
References
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Bluhm B, Cutura J (2022). Econometrics at scale: Spark up big data in economics. Journal of Data Science. 20(3): 413–436. https://doi.org/10.6339/22-JDS1035.
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Mo Y, Habing B, Sedransk N (2022). Tree-based methods in educational research: A tool for modeling nonlinear complex relationships and generating new insights from data. Journal of Data Science, 20(3): 359–379. https://doi.org/10.6339/22-JDS1056.
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Yang HC, Bradley JR (2021). Bayesian inference for spatial count data that may be over-dispersed or under-dispersed with application to the 2016 US presidential election. Journal of Data Science, 20(3): 325–337. https://doi.org/10.6339/21-JDS1032.
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