April 2027 (2 courses available)
Course title: An Introduction to Machine Learning for Environmental Science
MANDATORY: Open to all DLTP students
Date: 20-21 April 2027 9:30am - 16.30pm
Delivery: In-person, Exeter or Bristol
Content: This 2-day workshop introduces core concepts of machine learning including common algorithms, standard workflows and key software libraries. The focus will be on supervised machine learning for regression and classification using a range of methods such as random forests and deep convolutional neural networks. The material will be taught through a mix of theory and practical examples across different environmental sciences such as meteorology and ecology.
Trainer/s: Stefan Siegert, Associate Professor of Data Science in the Department of Mathematics and Statistics, University of Exeter
Event category: Research Skills
Course title: Science communication: social media basics
MANDATORY: Open to all DLTP students
Date: 27 April 2027, 10:00am - 11:30am
Delivery: Online (1.5 hours)
Content: Join this chance to learn more about communicating your environmental research through social media platforms.
The course will cover:
The channels - Bluesky LinkedIn, Instagram
Who is your audience?
Different ways to communicate
Accessibility for environmental science.
What's your key message?
The challenges with communicating about environmental research on social media.
Trainer/s: Amanda Woodman-Hardy, Cabot Institute for the Environment, University of Bristol