I'm a postdoctoral researcher in the department of Brain and Cognitive Sciences at MIT and, starting Fall 2017, an asisstant professor in the Department of Psychology at Yale (!). My research combines computational modeling with behavioral studies to understand how we use abstract concepts to make sense of the world. To date, much of my work has specifically looked at the fundamental concepts and computations underlying our ability to reason about other people's minds. If you want to learn more, this paper summarises much of my research.

I will be looking for a lab manager and graduate students soon. Get in touch if you want to join the lab!


Publications

  • Jara-Ettinger, J., Floyd, S., Tenenbaum, J. B., & Schulz, L. (under review). Children believe that agents maximize expected utilities. [ Email ]

  • Jara-Ettinger, J., Levy, R., Piantadosi, S.T., Sakel, J., Kidd, C., & Gibson, E. (under review). The Tsimane’ from the Bolivian Amazon are not biased towards shape when they extend object names: evidence for the interaction between culture and thought. [ Email ]

  • Gibson, E., Futrell, R., Jara-Ettinger, J., Mahowald, K., Bergen, L., Sivalogeswaran, R., Gibson, M., Piantadosi, S.T., & Conway, J. B. R. (under review). Color naming across languages reflects color use. [ Email ]

  • Baker, C.L., Jara-Ettinger, J., Saxe, R., & Tenenbaum, J. B. (under review). Bayesian theory of mind: Mental state attribution as inverse planning under uncertainty. [ Email ]

  • Gibson, E., Piantadosi, S.T., Jara-Ettinger, J., & Levy. R (under review). Task effects in cross-cultural research: Computer experiments can yield misleading results in non-industrialized populations. [ Email ]

  • Jara-Ettinger, J., Gweon, H., Schulz, L. E., & Tenenbaum, J.B. (2016). The naive utility calculus: Computational principles underlying commonsense psychology. Trends in Cognitive Sciences.

  • Jara-Ettinger, J., Piantadosi, S.T., Spelke, E., Levy, R., & Gibson, E. (in press). Mastery of the logic of natural numbers is not the result of mastery of counting: Evidence from late counters. Developmental Science. Supporting information. Methods and data.

  • Jara-Ettinger*, J., Sun*, F., Schulz, L. E. & Tenenbaum, J. B. (2016). The naive utility calculus unifies spatial and statistical routes to preference. To appear in Proceedings of the 38th Annual Conference of the Cognitive Science Society.

  • Bridgers, S., Jara-Ettinger, J., & Gweon, H. (2016). Children consider others' expected costs and rewards when deciding what to teach. To appear in Proceedings of the 38th Annual Conference of the Cognitive Science Society.

  • Jara-Ettinger, J. (2016). The inner life of goals: costs, rewards, and commonsense psychology. PhD thesis. [ Email ]

  • Jara-Ettinger, J., Gibson, E., Kidd, C., & Piantadosi, S. T. (2015). Native Amazonian children forego egalitarianism in merit based tasks when they learn to count. Developmental Science. Data and analyses.

  • Allen, K., Jara-Ettinger, J., Gerstenberg, T., Kleiman-Weiner, M. & Tenenbaum, J. B. (2015). Go fishing! Responsibility judgments when cooperation breaks down. Proceedings of the 37th Annual Conference of the Cognitive Science Society.

  • Jara-Ettinger, J. Schulz, L. E. & Tenenbaum, J. B. (2015). The naive utility calculus: Joint inferences about the costs and rewards of actions. Proceedings of the 37th Annual Conference of the Cognitive Science Society.

  • Jara-Ettinger, J., Lydic, E., Tenenbaum, J., & Schulz, L. E. (2015). Beliefs about desires: Children's understanding of how knowledge and preference influence choice. Proceedings of the 37th Annual Conference of the Cognitive Science Society.

  • Jara-Ettinger, J., Tenenbaum, J. B., & Schulz, L. E. (2015). Not so innocent: Toddlers' reasoning about costs, competence, and culpability. Psychological Science. Supporting information. Methods and data.

  • Jara-Ettinger, J., Gweon, H., Tenenbaum, J. B., & Schulz, L. E. (2015). Children's understanding of the costs and rewards underlying rational action. Cognition. Supporting information.

  • Piantadosi, S.T., Jara-Ettinger, J., & Gibson, E. (2014). Children's learning of number words in an indigenous farming-foraging group. Developmental Science.

  • Jara-Ettinger, J.*, Kim, N.*, Muentener, P., & Schulz, L. E. (2014). Running to do evil: Costs incurred by perpetrators affect moral judgment. In Proceedings of the 36th Annual Conference of the Cognitive Science Society (pp. 684-688).

  • Jara-Ettinger, J., Gweon, H., Tenenbaum, J. B., & Schulz, L. E. (2014). That's the way the utility crumbles. In Proceedings of the 36th Annual Conference of the Cognitive Science Society (pp. 678-683).

  • Jara-Ettinger, J., Tenenbaum, J.B., & Schulz, L. E. (2013). Not so innocent: Reasoning about costs, competence, and culpability in very early childhood. In Proceedings of the 35th Annual Conference of the Cognitive Science Society (pp. 663-668).

  • Jara-Ettinger, J., Baker, C.L., & Tenenbaum, J.B. (2012). Learning What is Where from Social Observations. In Proceedings of the 34th Annual Conference of the Cognitive Science Society (pp. 515-520). Model code.

  • Rodrigues, E.R., Achcar, J., & Jara-Ettinger, J. (2011). Using a Gibbs Sampling algorithm and a non-homogeneous Poisson model to estimate the ocurrence of ozone exceedances in Mexico City. Air Quality (Book Section).

  • Jara-Ettinger, J. (2011) Estimando el numero de excedencias de ozono en la Ciudad de Mexico usando procesos de Poisson no-homogeneos y Metodos Monte-Carlo via Cadenas de Markov. (Thesis)

  • Jara-Ettinger, J., & Valero, L. (2008). Cardinality preservation in centers of non-isomorphic groups with isomorphics tables of marks. In Proceedings of the XIII Congreso del Verano de la Investigacion Cientifica DELFIN.

  • Software and Models

    Bunny: A python package to compute an experiment's power through simulations.
    Kiwi: A collection of Shiny apps to run common statistical procedures online. You can bootstrap confidence intervals, calculate partial correlations, and look at inter-rater reliability.

  • Bishop: Naive utility calculus model.

  • Learning what is where from social observations: Model code for Jara-Ettinger, Baker, & Tenenbaum (2012). Infer the location of unobservable objects based on an agent's observable behavior.