Cognition Computation and Development Lab

Our
Team

  • Zach Horne

    Lecturer in Psychology
    Papers
    Open Science Framework

  • Alex Doumas

    Senior Lecturer in Psychology
    Papers

  • Artemis Deligianni

    PhD student in natural language processing

    Interests: Using NLP tools to understand social cognition, including sexism in online environments

  • Nicolas Navarre

    PhD student in natural language processing

    Interests: Models of causal cognition and causal language

  • Julie Pedersen

    PhD student in Psychology

    Interests: Models of moral psychology and group identity

  • Sydelle de Souza

    PhD student in natural language processing
    Website

    Interests: Models of analogical reasoning and metaphor

  • Ivan Vegner

    PhD student in natural language processing

    Interests: Computational models of analogy and relational reasoning

  • Mert Kobas

    PhD student in developmental psychology
    New York University

    Interests: cognitive development, explanatory reasoning

  • Trisevgeni Papakonstantinou

    PhD student in experimental psychology
    University College London

    Interests: Attitude change, causal reasoning, NLP applications to social media data

  • Joshua Hew

    Undergraduate research assistant

  • Jana Tomastikova

    Undergraduate research assistant

  • Tonya Zhiteneva

    Undergraduate research assistant

    University of Oxford

Research

  • Explanatory reasoning and scientific explanation

    We study how novices and practicing scientists explain the unfamiliar to examine the cognitive constraints on scientific explanation.

  • Analogical reasoning and arguments by analogy

    People make arguments by analogy in the form of memes, but also in legal and philosophical reasoning. We investigate how people construct these arguments, including developing computational models of this cognitive capacity.

  • Attitude change outside the lab

    We use large scale social media data to understand the mechanisms of persuasion in more naturalistic settings.

  • Relational reasoning in adults and children

    This work uses symbolic neural network models and Bayesian computational modeling to understand the computational mechanisms of cognitive development.

Collaborators

  • Chiara Bonacchi

    Chancellor's Fellow in Heritage, Text and Data Mining and Senior Lecturer

    University of Edinburgh

  • Andrei Cimpian

    Professor of Psychology
    New York University

  • Martin Corley

    Professor of Speech, Language, and Cognition

    University of Edinburgh

  • Micah Goldwater

    Senior Lecturer in Psychology
    University of Sydney

  • Andrea Martin

    Max Planck Research Group Leader
    Language and Computation in Neural Systems (LaCNS)
    MPI

  • Derek Powell

    Assistant Professor of Behavioral Data Science
    Arizona State University

  • Josh Rottman

    Associate Professor of Psychology
    Franklin & Marshall College