Abstract

You are warmly invited to the Application of AI to the study of Environmental Risks (AI4ER) CDT Showcase on 14 May 2021 from 12pm.

The event will feature presentations, posters and talks from students of the AI4ER CDT and a chance to find out more about the breadth of research in the AI4ER CDT .

Oral and Poster presentations will focus mainly on the work of the students but will also include a panel discussion from external speakers.

The event will take place online (Zoom and Gather Town).

If you are interested in attending, please register below.

REGISTER AT: https://zoom.us/meeting/register/tJYpdOioqTgtHtbwwfwRnip1SdGnSLXiFY2W

If you can’t attend and wish to see a recording of the event then you can access it via the following document (link to the recording will be made available after the session):

https://docs.google.com/document/d/1A92DjTTntAG6oSoypMQMtHt8zBwf7GsRWAqXsQ_H5rQ/edit?usp=sharing

Programme

12pm: Introduction – Dr Emily Shuckburgh

12.15pm: 2nd/3rd year PhD Students talks – Questions during the lunch break

12.55pm: Overview of AI4ER 1st year PhD projects - Dr Scott Hosking

13.10pm: Posters – PhD Students [via Gather Town]

14.40pm: Guided Team Challenge presentations – Exposure and Biodiversity – These were 3-month research sprints working with some of our partners. MRes students will present these

15.10pm: Panel discussion – Theme: Climate, Environment, Digital – Speakers: Professor Neil Lawrence, Jessica Montgomery, Dr Andy Rice, Dr Emily Shuckburgh

We’d love to see you there!

AI4ER CDT - Programme overview

The Centre for Doctoral Training (CDT) in the Application of Artificial Intelligence to the study of Environmental Risks (AI4ER, https://ai4er-cdt.esc.cam.ac.uk/) trains researchers to develop and apply leading edge computational approaches to address critical global environmental challenges by exploiting vast, diverse, and often untapped environmental datasets. Each year, it admits a cohort of 10-12 students after a highly competitive admissions process. Admitted students are fully funded for four years of study at Cambridge. During their first year, they take a variety of foundational courses in the areas of environmental risk and AI, and in the last three months, undertake an MRes research project. In the subsequent three years, they become affiliated to one of the CDT ’s 13 member departments and complete a PhD in that department, under the supervision of a faculty member in that department, typically with additional co-supervision. Some students will additionally be affiliated to the British Antarctic Survey.

You can find more information about the CDT on our website (https://ai4er-cdt.esc.cam.ac.uk/) and updates on activities through our twitter account (https://twitter.com/AI4ER_CDT).