About
Associate Professor of Computer Science at The Vermont Complex Systems Center.
Professeur associé au Département de physique, de génie physique et d'optique de l'Université Laval.
Editor-In-Chief of npj Complexity.
Principal Investigator of Open-source Complex Ecosystems And Networks.
Modeling Director at the Translational Global Infectious diseases Research Center.
Director of The Complex Networks Winter Workshop.
Board member of The Network Science Society and Chair of NetSci 2024 in Québec.
Research in Complexity, Network Theory, and Nonlinear Dynamics in Epidemiology/Biology/Sociology/Ecology
News
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New Joint Lab Website
Over the last few years, Jean-Gabriel Young and I have formed the Joint Lab. Most news and updates will be posted on the Joint Lab website going forward.
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TGIR Center Renewal
We received news last month that our Translational Global Infectious disease Research (TGIR) Center was renewed for another five years with a generous award from the NIH. I will continue serving as Director for our Mathematical & Computational Predictive Modeling Core.
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APS Outstanding Referee Award
I was awarded with a lifetime appointment to the American Physical Society’s Outstanding Referees program. This is an incredible honor. I am also proud to be the first awardee from the University of Vermont!
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Virtual CNWW, and real new projects
Our team led by the great Juniper Lovato recently wrapped up our Virtual Complex Network Winter Workshop (or CNWW) which I thought was an amazing experience. One of our participant collected a summary of the projects on Twitter. Speaking of collaborations and teamwork, we are also looking to the future: Our OCEAN project is now focusing on attribution of contributions in open source projects (see our piece in Nature Computational Science) as well as distributing funding to related projects. Exciting times ahead!
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$4M for the impacts of climate change on rural communities
Our joint team with researchers from the University of Vermont and the University of Maine was awarded a $4 million project over fours year. The team will develop a spatiotemporal dataset and modeling framework to understand shifts in species range due to climate change, as well as the impacts on rural communities through changes in infectious diseases, pests and local climate. “Communities adapt when they face public crises like climate change or infectious diseases,” Hébert-Dufresne said. “Solving climate change and infectious diseases will involve bottom-up behavior changes and innovations, not just top-down policies.”