Antoine Lemor

This website is multilingual (FR/EN); you can change the language using the menu.

I am a postdoctoral fellow and lecturer, jointly affiliated with the RFICS and the CIRST (Canada), under the supervision of Professor François Claveau. I am also a Computational Methods Researcher (AI & NLP) at the CAPP at Université Laval, and a researcher at ENAP on digital sovereignty with Professor Guillaume Beaumier. I build and maintain several research platforms, including CCF Project (climate media analysis), YouPol (political influencers and content on YouTube and TikTok), and LLM Tool (AI-assisted text annotation), each with open data APIs (data.ccf-project.ca, data.you-pol.com).

My research studies, through computational methods, the conditions under which scientific knowledge and technology gains influence in, and restructures, the policy process. It is organized around two axes.

On the substantive side, I examine evidence-informed policymaking, expert credibility, science-policy interfaces, and the impact of AI on the policy process. Current work includes comparative analyses of science advisory systems during COVID-19, the credibility of public health agencies in Canadian media, and climate discourse responsiveness across five decades of press coverage.

On the methodological side, I develop open-source tools and research infrastructures for computational social science. These include LLM Tool, a hybrid annotation pipeline combining LLMs and BERT classifiers (video presentation), with an online inference API; the CCF Database, 266,000+ annotated climate articles with a data API; and YouPol, a continuously updated observatory of political video content with its own data API.