JDS Journal of Data Science 1683-86021680-743X1680-743X School of Statistics, Renmin University of China JDS222EDI 10.6339/24-JDS222EDI Editorial Editorial: Inquire, Investigate, Implement, Innovate – Symposium on Data Science and Statistics 2023 DodwellEmilyed720d@att.com1∗ KoepkeAmanda A.2 Chief Data Office, AT&T, Bedminster, NJ, USA Statistical Engineering Division, National Institute of Standards and Technology, Boulder, CO, USA Corresponding author. Email: ed720d@att.com. 2024462024222173175 2024 The Author(s). Published by the School of Statistics and the Center for Applied Statistics, Renmin University of China.2024 Open access article under the CC BY license. References Cairns J, Urbanek S, Murrell P (2024). A platform for large scale statistical modelling in R. Journal of Data Science. 22(2): 208–220. Fagnant C, Schedler JC, Ensor KB (2024). Spatial-temporal extreme modeling for point-to-area random effects (PARE). Journal of Data Science. 22(2): 221–238. Haycock S, Bean B, Burchfield E (2024). Producing fast and convenient machine learning benchmarks in R with the stressor package. Journal of Data Science. 22(2): 239–258. Nzekwe CJ, Kim S, Sayed M (2024). Interaction Selection and Prediction Performance in High-Dimensional Data: A Comparative Study of Statistical and Tree-Based Methods. Journal of Data Science. 22(2): 259–279. Rice K, Hofmann H, du Toit N, Mulrow E (2024). Testing perceptual accuracy in a U.S. general population survey using stacked bar charts. Journal of Data Science. 22(2): 280–297. Rogers R, VanderPlas S (2024). Demonstrative Evidence and the Use of Algorithms in Jury Trials. Journal of Data Science. 22(2): 314–332. Thatcher S, Alberts S, Beregovska T (2024). Interdisciplinary Approaches to Teaching Data Science. Journal of Data Science. 22(2): 333–351. Wiederich T, VanderPlas S (2024). Evaluating Perceptual Judgements on 3D Printed Bar Charts. Journal of Data Science. 22(2): 176–190. Yang Y, Perera C, Miller JP, Su X, Liu L (2024). Precision Medicine: Interaction Survival Tree for Recurrent Event Data. Journal of Data Science. 22(2): 298–313. Yavuz Ozdemir Y, Nukala NCP, Molinari R, Deshpande G (2024). A Multi-Model Framework to Explore ADHD Diagnosis from Neuroimaging Data. Journal of Data Science. 22(2): 191–207.