Integrating quantitative social, ecological and mathematical sciences into landscape decision making.
7th to 11th September 2020
Organised by the Isaac Newton Institute for Mathematical Sciences
A follow-up to the highly successful Isaac Newton Institute (INI) Programme Mathematical and statistical challenges in landscape decision-making held in July 2019. The aim of this workshop is to build on this success by exploring how to integrate state-of-the-art social modelling approaches with environmental and mathematical approaches in landscape decision-making. The workshop will also, provide an opportunity to feedback on methodological advances made since the INI programme and match these to the changing needs of stakeholders.
The primary goal of this follow-on workshop is to further extend these interdisciplinary links to the social sciences community. This is crucial in order to advance a holistic understanding of landscape decision-making.
All talks and discussion sessions will be available virtually
If wish to participate virtually, please contact workshops@newton.ac.uk.
This workshop will include:
- Talks on the state-of-the-art in quantitative social and environmental and mathematical approaches to modelling landscape systems.
- Discussions on how to integrate quantitative social modelling approaches into existing quantitative approaches in landscape decision-making
- Summary of key outcomes and research roadmaps that emerged from the INI programme “Mathematical and statistical challenges in landscape decision-making”.
- Stakeholder perspective on current challenges in landscape decision-making.
- Feedback from projects funded under the UKRI Strategic Priority Fund (SPF) “Landscape Decisions: Toward a new framework for using land assets” mathematical and statistical challenges call.
Participants in the workshop will include a highly interdisciplinary mix of both academic and non-academic researchers as well as stakeholders working on land-related research and policy questions. These will include (but not be limited to) participants interested in ecological modelling, social modelling, as well as mathematicians, statisticians and computer and data scientists with expertise in system modelling, uncertainty quantification and decision-making who are also interested in these wide ranging applied questions.