Dear Colleagues,
Volume 21, Number 2 of the
Journal of Data Science (https://jds-online.org) is a special issue of the Symposium on Data Science and Statistics (SDSS) 2022 (
https://jds-online.org/journal/JDS/issue/86), guest-edited by Claire Bowen and Michael Grosskopf. The issue contains 6 articles in Data Science in Action; 5 articles in Computing in Data Science; 3 articles in Statistical Data Science; and 1 article in Education in Data Science. Congratulations to the SDSS team, the guest associate editors, the authors, and the reviewers!
All the articles are published under the CC-BY license (
https://creativecommons.org/licenses/by/4.0/) for the widest dissemination. Funded by the School of Statistics and the Center for Applied Statistics, Renmin University of China, there are no Article Processing Charges. The journal features a fast review process and a reproducibility check.
Established in 2003, the Journal of Data Science aims to advance and promote data science methods, computing, and applications in all scientific fields where knowledge and insights are to be extracted from data. We welcome submissions to all the sections including 1) Philosophy of Data Science; 2) Statistical Data Science; 3) Computing in Data Science; 4) Data Science in Action; 5) Data Science Review; 6) Education in Data Science.
Best regards,
Jun Yan
Editor, Journal of Data Science
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Journal of Data Science
Volume 21, Issue 2, 2023
Editorial: Symposium Data Science and Statistics 2022
Claire McKay Bowen, Michael J. Grosskopf
https://doi.org/10.6339/23-JDS212EDIPub. online: 9 May 2023 Type: Editorial Open access
pp. 173–176
Active Data Science for Improving Clinical Risk Prediction
Donna P. Ankerst, Matthias Neumair
https://doi.org/10.6339/22-JDS1078Pub. online: 23 Nov 2022 Type: Data Science In Action Open access
pp. 177–192
Exploring Rural Shrink Smart Through Guided Discovery Dashboards
Denise Bradford, Susan VanderPlas
https://doi.org/10.6339/22-JDS1080Pub. online: 15 Dec 2022 Type: Data Science In Action Open access
pp. 193–204
Binary Classification of Malignant Mesothelioma: A Comparative Study
Ted Si Yuan Cheng, Xiyue Liao
https://doi.org/10.6339/23-JDS1090Pub. online: 14 Feb 2023 Type: Data Science In Action Open access
pp. 205–224
Identifying Drone Web Sites in Multiple Countries and Languages with a Single Model
Piet Daas, Blanca de Miguel, Maria de Miguel
https://doi.org/10.6339/23-JDS1087Pub. online: 26 Jan 2023 Type: Data Science In Action Open access
pp. 225–238
Creating a Census County Assessment Tool for Visualizing Census Data
Isabel Youngs, Ronald Prevost, Christopher Dick
https://doi.org/10.6339/22-JDS1082Pub. online: 21 Dec 2022 Type: Data Science In Action Open access
pp. 239–254
Causal Discovery for Observational Sciences Using Supervised Machine Learning
Anne Helby Petersen, Joseph Ramsey, Claus Thorn Ekstrøm, Peter Sprites
https://doi.org/10.6339/23-JDS1088Pub. online: 13 Mar 2023 Type: Computing In Data Science Open access
pp. 255–280
'You Draw It': Implementation of Visually Fitted Trends with r2d3
Emily A. Robinson, Reka Howard, Susan VanderPlas
https://doi.org/10.6339/22-JDS1083Pub. online: 12 Jan 2023 Type: Computing In Data Science Open access
pp. 281–294
Computing Pseudolikelihood Estimators for Exponential-Family Random Graph Models
Christian S. Schmid, David R. Hunter
https://doi.org/10.6339/23-JDS1094Pub. online: 15 Mar 2023 Type: Computing In Data Science Open access
pp. 295–309
Assessment of Projection Pursuit Index for Classifying High Dimension Low Sample Size Data in R
pp. 310–332
An Assessment of Crop-Specific Land Cover Predictions Using High-Order Markov Chains and Deep Neural Networks
Luca Sartore, Claire Boryan, Andrew Dau, Patrick Willis
https://doi.org/10.6339/23-JDS1098Pub. online: 31 Mar 2023 Type: Computing In Data Science Open access
pp. 333–353
FROSTY: A High-Dimensional Scale-Free Bayesian Network Learning Method
Joshua Bang, Sang-Yun Oh
https://doi.org/10.6339/23-JDS1097Pub. online: 14 Mar 2023 Type: Statistical Data Science Open access
pp. 354–367
Comparing Extreme Value Estimation Techniques for Short-Term Snow Accumulations
Kenneth Pomeyie, Brennan Bean, Yan Sun
https://doi.org/10.6339/23-JDS1086Pub. online: 25 Jan 2023 Type: Statistical Data Science Open access
pp. 368–390
Random Forest of Interaction Trees for Estimating Individualized Treatment Regimes with Ordered Treatment Levels in Observational Studies
Justin Thorp, Richard A. Levine, Luo Li, Juanjuan Fan
https://doi.org/10.6339/23-JDS1084Pub. online: 2 Feb 2023 Type: Statistical Data Science Open access
pp. 391–411
Building a Foundation for More Flexible A/B Testing: Applications of Interim Monitoring to Large Scale Data
pp. 412–427
Teaching Visual Accessibility in Introductory Data Science Classes with Multi-Modal Data Representations
JooYoung Seo, Mine Dogucu
https://doi.org/10.6339/23-JDS1095Pub. online: 21 Mar 2023 Type: Education In Data Science Open access
pp. 428–441