Reihaneh Rabbany, McGill University

Research

Active Learning Computational Social Science Data Mining Educational Data Mining Graph Mining Machine Learning Network Science Online Human Trafficking

Latest papers

Regional and temporal patterns of partisan polarization during the COVID-19 pandemic in the United States and Canada.
PloS one · 2026 · senior author
Static graph approximations of dynamic contact networks for epidemic forecasting.
Scientific reports · 2024 · senior author
Incorporating dynamic flight network in SEIR to model mobility between populations.
Applied network science · 2021 · senior author

All 4 publications

Latest funding

Measuring Partisan Conflicts on Social Media
SSHRC · 2023 · Co-investigator
$88,402
Supporting a Compassionate Experience for Transition-Aged Youth Seeking Support through Digital Technologies
SSHRC · 2023 · Co-investigator
$124,656
NSERC CREATE in Responsible Development of AI (RAI)
NSERC · 2021 · Co-investigator
$1,021,680

All 5 grants and awards

4 publications.

01

Regional and temporal patterns of partisan polarization during the COVID-19 pandemic in the United States and Canada.

Yang Z, Imouza A, Puelma Touzel M, Amadoro C, Desrosiers-Brisebois G, Pelrine K, Levy S, Godbout JF, Rabbany R

PloS one2026Senior author

DOI: 10.1371/journal.pone.0347327 PMID: 42008612

02

Static graph approximations of dynamic contact networks for epidemic forecasting.

Shirzadkhani R, Huang S, Leung A, Rabbany R

Scientific reports2024Senior author

DOI: 10.1038/s41598-024-62271-0 PMID: 38777814

03

Incorporating dynamic flight network in SEIR to model mobility between populations.

Ding X, Huang S, Leung A, Rabbany R

Applied network science2021Senior author

DOI: 10.1007/s41109-021-00378-3 PMID: 34150986

04

Machine learning analysis of exome trios to contrast the genomic architecture of autism and schizophrenia.

Sardaar S, Qi B, Dionne-Laporte A, Rouleau GA, Rabbany R, Trakadis YJ

BMC psychiatry2020

DOI: 10.1186/s12888-020-02503-5 PMID: 32111185

Measuring Partisan Conflicts on Social Media

Co-investigatorSSHRC2023Insight Grants

Principal investigators: Godbout, Jean-Francois

Keywords: political ideology; partisan conflict; polarization; social media; machine learning; artificial intelligence; social networks; twitter; election; political campaign; open data

$88,402

Supporting a Compassionate Experience for Transition-Aged Youth Seeking Support through Digital Technologies

Co-investigatorSSHRC2023Insight Grants

Principal investigators: Wiljer, David E.

Keywords: help-seeking; transition-aged youth; digital technologies; compassion; post-secondary; digital compassion; support

$124,656

NSERC CREATE in Responsible Development of AI (RAI)

Co-investigatorNSERC2021Collaborative Research and Training Experience

Principal investigators: Ensan, Faezeh FE

Keywords: accountability; ai fairness and discrimination; algorithmic bias; data analytics; data anonymization; ethics; explainability; privacy-enhanced technology; procedural and outcome disparities

$1,021,680

Mining Complex Interconnected Data

Principal investigatorNSERC2019Discovery Grants Program - Individual

Principal investigators: Rabbany, Reihaneh

Keywords: data mining; graph mining; network science; social network analysis; machine learning; unsupervised learning; active learning; computational social science; educational data mining; online human trafficking

$161,000

Mining Complex Interconnected Data

Principal investigatorNSERC2019Discovery Launch Supplement

Principal investigators: Rabbany, Reihaneh

$12,500

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

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

Paper to mentionMention their NSERC grant from 2019

Subject: Prospective PhD student: Active Learning Dear Professor Rabbany, 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 "Regional and temporal patterns of partisan polarization during the COVID-19 pandemic in the United States and Canada." (2026), 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 "Mining Complex Interconnected Data" (2019), 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]