We're looking for abstracts!
Deadline: 14th June
ECRs researching climate change are strongly encouraged to submit original abstracts that touch upon any of the following three themes below. Abstracts can be maximum 400 words not including references, and applicants can provide up to 6 key terms alongside their abstracts.
Guidelines for Abstract Submission:
- All abstracts must be written in standard English alongside a maximum of 6 keywords, phrased in a 200– 400 word paragraph
- Topics to cover include: what is the key focus of your work and what question it answers, any background, applications or implications for the study.
- Please discuss any progress to date as well as any limitations or future work still under investigation.
- We welcome submissions from projects at all stages, including literature review or work-in-progress based submissions.
- Please submit your topic into one of the three symposium themes listed below.
TRADitional natural resource management
Indigenous people and rural communities are considered among the most vulnerable to climate impacts. On the other hand, it is widely acknowledged that they have a key role to play in the conservation and the sustainable use of natural resources, such as water or forest. In addition, these populations are custodians of traditional ecological knowledge, crucial to achieving the sustainable development of society as a whole.
In our session, we would like to explore traditional solutions, from different geographical and cultural contexts, which allow the sustainable management of natural resources.
- Community-based management of natural resources
- Traditional natural resource management systems (whether they are currently functioning, or could be restored)
- Change in the understanding of the human-environment relationship
- Impact of climate change on traditional knowledge and practices
TOday's effects of climate change and tomorrow's solutions
In order to find solutions to climate change, it is helpful to consider how it is impacting our world today. This can include the impact on living organisms, specific sectors of life or even the planet as a whole. Current or near-future solutions to climate change in nature and engineering are also considered.
- Technology and monitoring the impact of climate change on living organisms and the environment (i.e modelling of ice shelf melting, temperature, pollution, rising sea levels etc.)
- Evaluation, analysis and development in harvesting energy from renewable energy sources (e.g angles and efficiency of photovoltaics, wind speed trends for wind energy development, turbulence modelling in hydroelectric power etc.)
- Combustion properties of alternative fuels and development of novel designs for real applications (including thermodynamic cycle analysis, chemical kinetic analysis, reactor network development and life cycle analysis)
- New energy storage systems, energy management and the electrical grid.
ENVIRONMENTAL INTELLIGENCE: DATA SCIENCE FOR ENVIRONMENTAL RESEARCH
The proliferation of data-intensive work and research, often enabled by big data (BD) and machine learning (ML), holds massive potential for the study of our changing natural and social environment. Within this theme, we position ourselves within the emerging discipline of “environmental intelligence”, inviting submissions which explore how data science, ML, and BD can contribute to our understanding of the natural environment, as well as improving our resilience to climate change. We interpret the term “environment” broadly and strongly encourage critical perspectives which help us integrate ML and BD into our environmental research toolkit in an equitable and responsible way.
- Mitigating climate change with machine learning: a case study approach
- The ethical challenges of using AI in climate change policy development
- Towards a machine learning approach to mapping climate change effects
- Big data and its role in understanding climate change
- Climate change models and the risk of oversimplification
- What role could AI have in meeting Net Zero targets?
- The Environment Is Not A System
- Environmental Data Justice: Integrating Data and Environmental Justice Into A Unified Framework