Machine Learning for Biodiversity

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An online symposium to share tools, ideas, and knowledge

View the Project on GitHub PoisotLab/ml-biodiv-symposium

Machine Learning for Biodiversity

The Quantitative & Computational Ecology group at Université de Montréal, in partnership with the Instituto Humboldt, and the Québec Centre for Biodiversity Science, are organizing a one-day virtual symposium, to take place on August 30, 2021. Our goal is to bring together graduate students, post-doctoral scientists, and practitioners, to talk about the way they use machine learning for biodiversity study, monitoring, management, and conservation.

Costs

Running an online event comes with a number of costs. These include paying for the time and labor of the graduate students who will review the abstracts, paying an honorarium for the plenary speakers, and assuming the varioius costs of infrastructure and software we rely on for event planning. All of these costs (estimated to be about 65 CAD per attendee) will be assumed by the host organization thanks to a donation from the Courtois foundation. Therefore the event is entirely free.

If you can afford it, we would be very happy if you could pay it forward by making even a small donation to one of the following organizations, who do the important work of building a more inclusive academia:

Abstract submission

The application form for talks will close on July 15, and the selected presenters will be notified by July 21. Informations on slides preparation will be communicated at this point.

The structured abstract can be submitted using this form.

Registration

Registration for the event can be made online using this form. If you submit an abstract, you are automatically registered for the event.

Program

General information

All times are given in Eastern (Montréal) time. Each presentation will last for 15 minutes, with no time for questions - instead, there will be an open-floor discussion at the end of every session (for about 20 minutes). We will encourage asking questions via Twitter, using the #MLBiodiv21 hashtag.

Each presenter will be offered the opportunity to have their presentation recorded. This will be opt-in, and we will share the videos under a Creative Commons 4.0 license of the presenter’s choice (to be discussed after acceptance).

The meeting will be held as a Zoom webinar.

Plenary 1 - 9am

Speaker: Giulio Valentino Dalla Riva, School of Mathematics and Statistics, University of Canterbury, Aotearoa / New Zealand

Summary coming soon

Section 1 - 10am - 11:20am

  1. TBA
  2. TBA
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  4. TBA

Section 2 - 1pm - 2:20pm

  1. TBA
  2. TBA
  3. TBA
  4. TBA

Section 3 - 2:40pm - 4pm

  1. TBA
  2. TBA
  3. TBA
  4. TBA

Plenary 2 - 4:15pm

Speaker: To be announced

Summary coming soon