Brendan Johns, McGill University

Research

Big data Computational cognitive modeling Computational cognitive science Distributional modeling Lexical organization Lexical semantics Machine learning Psycholinguistics

Latest papers

Using big data to understand bilingual performance in semantic fluency: Findings from the Canadian Longitudinal Study on Aging.
PloS one · 2022 · senior author

All 1 publications

Latest funding

Repetitions are not created equal: Examining the role of contextual diversity in the repetition-based truth effect
SSHRC · 2023 · Co-investigator
$72,692
How do collectively experienced large-scale social events drive language dynamics at the societal and individual levels?
SSHRC · 2022 · Co-investigator
$29,881
Optimizing Language Learning through Content-Driven Machine Learning
NSERC · 2020 · Principal investigator
$12,500

All 4 grants and awards

1 publications.

01

Using big data to understand bilingual performance in semantic fluency: Findings from the Canadian Longitudinal Study on Aging.

Taler V, Johns B

PloS one2022Senior author

DOI: 10.1371/journal.pone.0277660 PMID: 36441767

Repetitions are not created equal: Examining the role of contextual diversity in the repetition-based truth effect

Co-investigatorSSHRC2023Insight Development Grant

Principal investigators: CHANG, MINYU

Keywords: truth effect; repetition; belief formation; contextual diversity; misinformation; recognition memory; processing fluency; fuzzy-trace theory; mathematical model; computational model

$72,692

How do collectively experienced large-scale social events drive language dynamics at the societal and individual levels?

Co-investigatorSSHRC2022Insight Development Grant

Principal investigators: Senaldi, Marco Silvio Giuseppe

Keywords: linguistic variability; linguistic diversity; COVID-19; experience-driven language models; text mining; computational modeling; language processing; multilingualism; social issues

$29,881

Optimizing Language Learning through Content-Driven Machine Learning

Principal investigatorNSERC2020Discovery Launch Supplement

Principal investigators: Johns, Brendan

$12,500

Optimizing Language Learning through Content-Driven Machine Learning

Principal investigatorNSERC2020Discovery Grants Program - Individual

Principal investigators: Johns, Brendan

Keywords: psycholinguistics; computational cognitive modeling; lexical semantics; lexical organization; machine learning; big data; distributional modeling; computational cognitive science

$225,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Frequent collaborators

Vanessa Taler

Psychology

1 shared papers, latest 2022

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Mention their NSERC grant from 2020

Subject: Prospective PhD student: Big data Dear Professor Johns, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Using big data to understand bilingual performance in semantic fluency: Findings from the Canadian Longitudinal Study on Aging." (2022), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Optimizing Language Learning through Content-Driven Machine Learning" (2020), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]