Gene Lee, University of British Columbia

Research

robotics service robots service sectors operational efficiency machine learning online reviews labor market economic impact of technologies

Latest funding

Comment adapter son engagement aux temps présents ? Pier Paolo Pasolini et l'éthique de l'abjuration comme technique de soi
SSHRC · 2024 · Co-investigator
$17,829
The impact of generative AI on the creator economy
SSHRC · 2024 · Co-investigator
$21,641
Robots Serve Humans? Understanding the Economic and Societal Impacts of AI Robots in the Service Industry
SSHRC · 2022 · Principal investigator
$23,980

All 5 grants and awards

Comment adapter son engagement aux temps présents ? Pier Paolo Pasolini et l'éthique de l'abjuration comme technique de soi

Co-investigatorSSHRC2024Insight Grants

Principal investigators: Paquette, Julie

Keywords: Pier Paolo Pasolini ; nouveau fascisme ; liberté d'expression ; art et politique ; théories du scandale ; état d'exception ; abjuration; techniques de soi; Michel Foucault; nouvelles technologies

$17,829

The impact of generative AI on the creator economy

Co-investigatorSSHRC2024Insight Grants

Principal investigators: Zhou, Mi

Keywords: generative AI; creator economy; unstructured data analytics; big data; management information systems

$21,641

Robots Serve Humans? Understanding the Economic and Societal Impacts of AI Robots in the Service Industry

Principal investigatorSSHRC2022Insight Development Grant

Principal investigators: Lee, Gene Moo

Keywords: robotics; service robots; service sectors; operational efficiency; machine learning; online reviews; labor market; economic impact of technologies

$23,980

Robots Serve Humans? Understanding the Economic and Societal Impacts of AI Robots in the Service Industry

Principal investigatorSSHRC2022Insight Development Grant

Principal investigators: Lee, Gene Moo

Keywords: robotics; service robots; service sectors; operational efficiency; machine learning; online reviews; labor market; economic impact of technologies

$25,460

Predicting Litigation Risk via Machine Learning

Principal investigatorSSHRC2019Insight Development Grant

Principal investigators: Lee, Gene

Keywords: (1) litigation risk; (2) machine learning; (3) accounting; (4) information systems; (5) Big Data; (6) text mining

$48,100

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

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Applying for

Mention their SSHRC grant from 2022

Subject: Prospective PhD student: robotics Dear Professor Lee, 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]. Your research on robotics 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 SSHRC-funded project "Robots Serve Humans? Understanding the Economic and Societal Impacts of AI Robots in the Service Industry" (2022), 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]