Dr. Hartshorne is interested in understanding what allows humans, but not current machines, to learn language – and why it is that children, despite their salient limitations of both cognition and experience, are so much more successful at language learning than adults. Since coming to IHP, he interested in the reverse problem as well: why do some children struggle? Dr. Hartshorne is particularly interested in applying new and emerging methods (such as computational modeling and crowdsourcing) to core problems in the language sciences.
- B.A., Mathematics, Oberlin College, Oberlin, OH
- A.M., Psychology, Harvard University, Cambridge, MA
- Ph.D., Psychology, Harvard University, Cambridge, MA
- Language acquisition
- Artificial intelligence
- Machine learning
- Bilingualism
Dr. Hartshorne has published numerous papers - some titles are highlighted below. You can view a complete listing of Dr. Hartshorne's publications on Google Scholar or in his CV.
A critical period for second language acquisition: Evidence from 2/3 million English speakers.
Contrastive machine learning reveals the structure of neuroanatomical variation within autism.
A thousand studies for the price of one: Accelerating psychological science with Pushkin.
Psych verbs, the linking problem, and the acquisition of language.
In addition, Dr. Hartshorne regularly presents at conferences and industry events. Please see his CV for a complete list of presentations.
AI for language science, a case study: How big data and machine learning are reshaping our understanding of language. Highlights in the Language Sciences, Nijmegen, Netherlands
Cognitive development is (even) more complicated than we thought, Cognitive Development Society, 2024
Viral quizzes are transforming broad swaths of psychological science, American Psychological Society, 2024
Why language remains AI-complete and what that means for human cognition, Center for Cognitive Science, Rutgers, 2023
Why do children learn languages better than adults? Department of Psychology, Yale, 2020