@article{e0b1c1f7715247efac0b9e51b6b6da4c,
title = "Robust Diversity in Cognitive Science",
abstract = "The target article on robust modeling (Lee et al. in review) generated a lot of commentary. In this reply, we discuss some of the common themes in the commentaries; some are simple points of agreement while others are extensions of a practical or abstract nature. We also address a small number of disagreements or confusions.",
keywords = "Cognitive modeling, Model comparison, Open science, Reproducibility, Robustness",
author = "Joachim Vandekerckhove and White, {Corey N.} and Trueblood, {Jennifer S.} and Rouder, {Jeffrey N.} and Dora Matzke and Leite, {F{\'a}bio P.} and Alexander Etz and Christopher Donkin and Berna Devezer and Criss, {Amy H.} and Lee, {Michael D.}",
note = "Funding Information: This article is the product of the Workshop on Robust Social Science held in St. Petersburg, FL, in June 2018. The workshop was made possible by generous funding from the National Science Foundation (grant #BCS-1754205) to Joachim Vandekerckhove and Michael Lee of the University of California, Irvine. Alexander Etz was supported by NSF GRFP #DGE-1321846. Berna Devezer was supported by NIGMS of the NIH under award #P20GM104420. Dora Matzke was supported by a Veni grant (#451-15-010) from the Netherlands Organization of Scientific Research (NWO). Jennifer Trueblood was supported by NSF #SES-1556325. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health or the National Science Foundation. Publisher Copyright: {\textcopyright} 2019, Society for Mathematical Psychology.",
year = "2019",
month = dec,
doi = "10.1007/s42113-019-00066-7",
language = "English (US)",
volume = "2",
pages = "271--276",
journal = "Computational Brain and Behavior",
issn = "2522-087X",
publisher = "Springer Nature",
number = "3-4",
}