Data science for global environmental risk assessment

Call for Expressions of Interest
If you are interested in participating in this meeting, please complete the form by 30th April 2018 and we will get back to you as soon as possible after this date about whether we can offer you a place. Applications received by 30th April will be prioritised. If you would like any further information, then please contact Emily Paremain ( Attendance of this meeting is free of charge, but delegate places are limited.


The United Nations’ 2030 "Agenda for Sustainable Development" calls for a plan of action for people, planet and prosperity. It aims to take the bold and transformative steps that are urgently needed to shift the world onto a sustainable and resilient path. Developing a clear understanding of the challenges faced, and identification of potential solutions to enable delivery of the Sustainable Development Goals, requires high quality, accessible, timely and reliable disaggregated data. Increasingly, understanding the impacts of sustained changes in the context of the natural variability that is present in environmental processes will be based on analyses of data from outside of the sphere of its intended use. The differences between using routinely available data and data that has been collected as part of a carefully designed experiment requires a fundamental change in approach, acknowledging all aspects of data, including interactions between collection (including potential biases), governance, analysis, interpretation, communication and the future use of resulting composite datasets in other fields. The aim of the workshop is to explore how data science and AI can be used to help address today’s most important environmentally related societal challenges, including climate variability, extreme weather events, air quality, global health, water and energy distribution, and the spread of infectious disease. The focus will be on the combination of data driven and model-based approaches, the computational challenges of implementing complex models in the presence of massive data, and the challenges of evidence-based decision making when using data from a multiple, non-traditional, sources.

This one-day workshop will be held in Exeter on Thursday 17th May 2018, organised by Gavin Shaddick (Exeter) and ReCoVER.

Draft schedule: Harry's Meeting Rooms, Longbrooke Street, Exeter, EX4 6AP
9:30 Arrive, Welcome
10:00-11:00 Lightning talks
11:00-12:00 Keynote talk (45+questions)

12:00-14:00 Breakout sessions, including Lunch at 13:00

14:00-15:00 Panel discussion/ Reporting back
15:00-15:30 Break
15:30-16:30 Keynote talk (45+questions)
18:30 Meal in Exeter (TBC)