Online Experiments using jsPsych, psiTurk, and Amazon Mechanical Turk. - Josh de Leeuw; Anna Coenen; Douglas Markant; Jay B. Martin; John V. McDonnell; Alexander Rich 002; Todd M. Gureckis (CogSci, 2014)

The value of approaching bad things. - Alexander Rich 002; Todd M. Gureckis (CogSci, 2014)

The Attentional Learning Trap and How to Avoid It. - Alexander Rich 002; Todd M. Gureckis (CogSci, 2015)

Does a present bias influence exploratory choice? - Alexander S. Rich; Todd M. Gureckis (CogSci, 2017)

Modeling Second-Language Learning from a Psychological Perspective. - Alexander Rich 002; Pamela Osborn Popp; David Halpern; Anselm Rothe; Todd M. Gureckis (BEA@NAACL-HLT, 2018)

Topics and Trends in Cognitive Science. - Anselm Rothe; Alexander Rich 002; Zhiwei Li (CogSci, 2018)

Proactive advising: a machine learning driven approach to vaccine hesitancy. - Andrew Bell; Alexander Rich 002; Melisande Teng; Tin Oreskovic; Nuno B. Bras; Lénia Mestrinho; Srdan Golubovic; Ivan Pristas; Leid Zejnilovic (ICHI, 2019)

Lessons for artificial intelligence from the study of natural stupidity. - Alexander S. Rich; Todd M. Gureckis (Nat. Mach. Intell., 2019)

An Interpretable End-to-end Fine-tuning Approach for Long Clinical Text. - Kexin Huang; Sankeerth Garapati; Alexander S. Rich (CoRR, 2020)

AI reflections in 2019. - Alexander S. Rich; Cynthia Rudin; David M. P. Jacoby; Robin Freeman; Oliver R. Wearn; Henry Shevlin; Kanta Dihal; Seán S. ÓhÉigeartaigh; James Butcher; Marco Lippi 001; Przemyslaw Palka; Paolo Torroni; et al. (Nat. Mach. Intell., 2020)

A machine learning framework supporting prospective clinical decisions applied to risk prediction in oncology. - Lorinda Coombs; Abigail Orlando; Xiaoliang Wang; Pooja Shaw; Alexander S. Rich; Shreyas Lakhtakia; Karen Titchener; Blythe Adamson; Rebecca A. Miksad; Kathi Mooney (npj Digit. Medicine, 2022)