Data Science of the Natural Environment
|Dates:||23 November 2023|
|Times:||10:00 - 16:00|
|What is it:||Conferences|
|Who is it for:||University staff, External researchers, Adults, Current University students|
This conference will be held in person: CityLabs 1.0
Hosted by The University of Manchester’s Digital Futures platform, and run jointly with Alan Turing Environment and Sustainability special interest group, this one-day conference aims to bring together researchers and various stakeholders partners together to share developments at the data science – natural environment interface.
Global climate change, pollution, the move to net-zero and widening economic-social divides are some of the large-scale global pressures that demand data drive approaches to mitigate impacts on the environment. Whilst wider narratives tend to focus on application of powerful algorithms in this space, we must consider the entire breadth of data science from underlying digital infrastructure to stakeholder engagement.
In this conference we welcome oral and poster submissions from across the community. For example, this could include, but is not exclusively limited to:
• Computer vision approaches
• Development of hybrid physics-ML models
• Low power/edge applications
• Stakeholder engagement
• Policy adaptation
• Trust and standards
Whilst contributions from all aspects of environmental data science are welcome, we highlight Digital Twins as an emerging topic for discussion during this conference with more details TBC. Following a series of talks before lunch, we present an opportunity for networking and a panel discussion.
Travel and Contact Information
Citylabs 1.0 Nelson Street Manchester M13 9NQ