Anyone who leads a lab related to cognitive science is welcome to
sign up as a host. To be listed on this page or to update your listing
please edit this Google
doc, then e-mail Charles at c.kemp@unimelb.edu.au to
ask him to update the page accordingly.
Unless specified otherwise, all labs listed below can accommodate presentations in English. Presentations in other languages are possible in some cases — see individual listings for details.
If you’re not able to host a lab meeting presentation but are willing to connect with early career researchers in other ways (e.g. by engaging in informal discussions over email or Zoom), you’re also welcome to be listed.
(May 2022) David Barner,
University of California, San Diego. Our lab studies how language and
other symbolic systems encode meaning. Case studies include number,
quantification, pragmatics, time, color, theory of mind, and moral
development. You can contact me at dbarner@ucsd.edu
.
(May 2022) Morteza
Dehgani, University of Southern California. Our lab uses machine
learning and natural language processing to explore cognitive and
psychological traces in artifacts of social discourse—such as
narratives, social media, political speeches, and news articles. This
work contributes to the study of values and group dynamics in
Psychology, and sentiment analysis and machine learning in AI. We’d be
happy to host a lab meeting presentation – please get in touch with us
at mdehghan@usc.edu
(May 2022) Emily
Fyfe, Indiana University. Our lab focuses on cognitive development
with an emphasis on how children and adults learn and solve problems in
mathematics. We are motivated by a question facing scientists,
psychologists, educators, and parents: How can we support learning so
that it leads to the creation of robust and meaningful knowledge that
can transfer across contexts? My lab typically participates in two
meetings: one jointly with Dr. Rob Goldstone and Dr. Peter Todd (see
their entry) and one separately focused more explicitly on early
childhood and mathematics learning. If you’d like to present in either
of these meetings please email efyfe@indiana.edu
(May 2022, Updated Sep 2022) Rob Goldstone and Peter
Todd, Indiana University. We hold a joint lab meeting that focuses
on topics including decision making and sequential choice, perceptual
and conceptual learning, evolution of behavior and environmental
structure, mathematical cognition, collective behavior, and the
application of cognitive science for improving learning outcomes. If
you’d like to present in our lab meeting please contact
rgoldsto@indiana.edu or pmtodd@indiana.edu
(Currently our lab meetings are Mondays 3-4pm US Eastern Time, but other
times/days could be arranged.)
(May 2022) Josh Hartshorne, Boston College.
(May 2022) Iva
Ivanova, University of Texas at El Paso (UTEP). We study language
processing (mostly lexical and syntactic processing), with a focus on
language production, bilingualism and dialogue/human interaction. Please
email imivanova@utep.edu if you’re interested in presenting
in our lab meeting. We’d also be happy to present!
(May 2022) Charles Kemp and
Andy Perfors, University of Melbourne.
Our lab focuses on topics related to categorization, communication,
learning, decision-making and cultural evolution. We normally meet at
noon on Fridays (Melbourne time), and would be glad to host a
presentation. You can get in touch with us at
c.kemp@unimelb.edu.au or
andrew.perfors@unimelb.edu.au.
(May 2022) Social Mind and Body
Lab, Central European University, Vienna. We investigate the
perceptual, cognitive, and motor processes that underlie social
cognition and social interaction. Please email
AzaadS@ceu.edu if you’re interested in presenting in our
lab meeting.
(May 2022) Eva Wittenberg,
Central European University, Vienna. We study language comprehension,
with a particular focus on the connection between language and event
cognition, and the cognitive foundations of linguistic variation. Please
email WittenbergE@ceu.edu if you’re interested in
presenting in our lab meeting.
(May 2022) Jessica Cantlon, Carnegie Mellon University. We study
the evolution and development of math and logic using multiple
populations and methods — developmental, crosscultural, cross-species,
behavioral and neuroimaging methods. Please email
jcantlon@andrew.cmu.edu to present in our lab
meeting.
(May 2022) Tilbe
Göksun, Koç University, Istanbul-Turkey. Our Language and Cognition Lab studies
language and thought interaction across development, with a focus on
multimodal use and processing of language, multilevel analysis, and
individual differences. Please email tgoksun@ku.edu.tr to
present in our lab meeting.
(May 2022) Jenny Saffran,
University of Wisconsin - Madison. In the Infant Learning Lab,
we study how babies learn, with a particular focus on language but with
interests in other related domains (music, social categories,
perception). Please email jenny.saffran@wisc.edu if you’d
like to present in our lab meeting during the ’22-’23 academic year (we
meet Fridays at 10 AM CST).
(May 2022) Yoed
Kenett, Technion - Israel Institute of Technology, Haifa Israel. In
the Cognitive
Complexity Lab, we study the complexity of high-level cognition,
such as knowledge, creativity, associative thinking, and memory search,
in typical and clinical populations. To do so, we apply computational
tools from network science and Natural Language Processing to study
cognitive and neural systems, by converging computational and empirical
research. Please email yoedk@technion.ac.il to present in
our lab meetings.
(May 2022) Burcu
Aysen Urgen, Bilkent University, Ankara, Turkey. Our Cognitive Computational
Neuroscience Lab studies how we perceive the actions of biological
and non-biological agents (such as robots) and how we interact with
them. We use behavioral methods, as well as non-invasive neuroimaging
techniques (EEG and fMRI) and invasive techniques (intracerebral EEG
recordings) together with pattern analyses and connectivity analyses. If
you are interested in presenting in our lab meeting, please email
burcu.urgen@bilkent.edu.tr
(May 2022) Josh
Tenenbaum, MIT, Cambridge, Massachusetts. The Cocosci Lab studies the
computational basis of human learning and inference. We use a variety of
computational techniques to both better understand human cognition, and
build more human-like artificial intelligence systems. If you are
interested in presenting in our lab meeting, please email either Yoni
Friedman (yyf@mit.edu) or Joe Kwon
(joekwon@mit.edu)
(May 2022) Jennifer Culbertson,
Centre for Language Evolution, Edinburgh, United Kingdom The CLE is an interdisciplinary
centre at the University of Edinburgh
whose aim is to understand the origins and evolution of language using a
combination of laboratory techniques, computational simulation, and
mathematical modelling, drawing on data from language development,
change, variation and emergence. If you are interested in presenting in
our group, please email Jennifer Culbertson
(jennifer.culbertson@ed.ac.uk).
(May 2022) Monica
Castelhano, Queen’s Visual Cognition Lab (QVCL), Queen’s University,
Canada. At QVCL, we study perception, visual attention, visual search
and visual memory in complex stimuli. We use a variety of methodologies
(eye tracking, EEG, VR, etc.). We welcome questions on these topics
using any number of theoretical approaches (low or high-level). We also
have a number of studies examining these processes in complex social
stimuli in Autisitic individuals. If you are interested in presenting
during our lab meeting, please contact the lab coordinator
(qvcl.coord@gmail.com).
(May 2022) Tobias
Gerstenberg, Causality in Cognition Lab, Stanford University, USA.
The Causality in Cognition Lab at Stanford University studies the role
of causality in our understanding of the world, and of each other. Some
of the questions that guide our research: 1) How does the mind learn to
represent the causal structure of the world? 2) What is the relationship
between causal thinking and counterfactual simulation? 3) How do we hold
others responsible for the outcomes of their actions? In our research,
we formalize people’s mental models as computational models that yield
quantitative predictions about a wide range of situations. To test these
predictions, we use a combination of large-scale online experiments,
interactive experiments in the lab, and eye-tracking experiments. You
can find out more about what we do, what we value, and how to join us here.
(gerstenberg@stanford.edu)
(May 2022) Christopher Lucas
& Neil
Bramley. CompCogSci joint meetings of the Lucas Lab & Bramley Lab, Edinburgh
University, Scotland. We are two intersecting interdisciplinary groups
of cognitive scientists, psychologists, philosophers and computer
scientists variously based in the ILCC and PPLS. We use
computational models and psychological experiments to understand human
cognition, with a particular emphasis on the human ability to learn and
act in new and changing situations. Current lab members focus on causal
cognition, active learning, generalization, hypothesis generation, and
control. We typically meet on Monday afternoons UK time but are flexible
with international presenters. Get in touch with
clucas2@inf.ed.ac.uk or neil.bramley@ed.ac.uk
if you’d be interested in presenting your work.
(May 2022) Natasha Abner (Sign Language & Multi-Modal Communication Lab, Language Across Modalities, University of Michigan). Our lab provides a space for students, faculty, and community members to discuss research that spans the modes of human communication – speech, sign, gesture, and more. Our group meets to discuss research articles and to informally present ongoing research. All meetings have automated captioning and ASL-English interpreting, and we give priority to deaf scholars.
(May 2022) COLT group
(Gemma Boleda, Thomas Brochhagen), Universitat
Pompeu Fabra, Barcelona. We use quantitative and computational methods
to investigate how language works – both human natural language and
“machine language”. We are especially interested in how meaning is
conveyed through language. Some current lines of research in the group
are conceptual and referential aspects of meaning (e.g. interaction of
cognitive and communicative pressures for object naming, referring
expressions, and cross-linguistic patterns in semantic ambiguity in the
lexicon); generalization in AI models; and emergent communication in
deep-learning artificial neural network agents. If you are interested in
presenting at our lab meeting, please email Eleonora Gualdoni
(eleonora.gualdoni@upf.edu).
(May 2022) Milena Rabovsky,
Cognitive Neuroscience Lab, University of Potsdam, Germany. In our
lab, we use computational models (specifically, artificial neural
network models/ deep learning models) and neuroscientific evidence
(primarily EEG) in order to understand the neurocognition of language
and meaning. We are interested in prediction and adaptation as well as
in the role of attention and automaticity in language comprehension,
among other things. If you are interested in presenting in our lab
meeting please email
milena.rabovsky@uni-potsdam.de
(June 2022) Cynthia Siew,
Language and Computation
Lab, National University of Singapore. Research at the LCL is
devoted to studying the organization of language in human memory. We use
a range of methodologies, including experimental psycholinguistics,
analysis of corpora and archival data, network analysis and
computational modeling, to investigate how people understand, produce,
and learn words. We’d be happy to host a lab meeting presentation – and
please don’t worry too much about your time difference with Asia. The
lab is full of night owls and early risers eager to learn about your
cool work. Please get in touch with us at
cynthia@nus.edu.sg
(July 2022) Manuel
Bohn, Max Planck Institute for Evolutionary Anthropology. My group
studies the relation between everyday experience and social-cognitive
and communicative development. We use methods from Machine Learning,
Computer Vision and Cognitive Modeling. We are looking for people with
similar interests or methods-focus to give (informal) talks or simply
chat with us about their work. We sometimes feel a bit isolated
(methods-wise) in our institute and would like to use these talks as a
way to connect and exchange with other people. If you are interested in
meeting us, please write to manuel_bohn@eva.mpg.de
(April 2023), Roger Levy, Computational Psycholinguistics Laboratory, MIT. The mission of the Computational Psycholinguistics Laboratory is to understand and reverse engineer the way language works within the human mind and brain, and to safely endow artificial systems with human-like linguistic abilities. Our research in service of this mission combines linguistic theory, mathematical and computational modeling, analysis of natural language datasets, and experimental methods from psychology and neuroscience.
(June 2023) Laura Wakeford, Cognition and Vision Science group,
Abertay University, Dundee. Our group studies vision (in the real world,
the digital environment and during reading); virtual reality; language
(artificial language learning; how we process and understand language
and dialects); laterality (behavioural responses); and memory in applied
contexts (e.g., eyewitness testimony). We use a variety of methods,
including eye tracking; online testing; immersive technology and gaming.
If you would like to present to our group, please contact
l.wakeford@abertay.ac.uk
(June 2023) Laura
Schulz, MIT, Cambridge, Massachusetts The Early Childhood Cognition Lab
investigates the processes that support learning in early childhood in
an effort to understand human cognition. Lab members share a focus on
the fundamental, underlying problem of induction: how we learn so much,
from so little, so quickly. We are interested in how human reasoning can
go so far beyond the data. If you are interested in presenting in our
lab meeting, please email Sienna Radifera
(radifera@mit.edu).