📋 Tender Overview
Funded Value5279004Funded PeriodJun 19 - Nov 27FunderEPSRCProject StatusActiveProject CategoryTraining GrantProject ReferenceEPS0220741The vision of this CDT is to enhance societys resilience to changes in our environment through the development of Environmental Intelligence EI using the integration of data from multiple inter-related sources and Artificial Intelligence AI to provide evidence for informed decision-making increase our understanding of environmental challenges and provide information that is required by individuals policy-makers institutions and businesses.Many of the most important problems we face today are related to the environment. Climate change healthy oceans water security clean air biodiversity loss and resilience to extreme events all play a crucial role in determining our health wealth safety and future development. The UNs 2030 Agenda for Sustainable Development calls for a plan of action for people planet and prosperity aiming 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 and identifying potential solutions both for ourselves and our planet requires high quality accessible timely and reliable data to support informed decision making. Beyond the quantification of the need for change and tracking developments EI has another important role to play in facilitating change through integration of cutting edge AI technology in energy water transport agricultural and other environmentally-related systems and by empowering individuals organisations and businesses through the provision of personalized information that will support behavioural change.Students will receive training in the range of skills they will require to become leaders in EI i the computational skills required to analyse data from a wide variety of sources ii environmental domain-specific expertise iii an understanding of governance ethics and the potential societal impacts of collecting mining sharing and interpreting data together with the ability to communicate and engage with a diverse range of stakeholders. The training programme has been designed to be applicable to students with a diverse range of backgrounds and experiences.Graduates of the CDT will be equipped with the skills they need to become tomorrows leaders in identifying and addressing interlinked social economic and environmental risks. Having highly trained individuals with a wide range of expertise together with the skills to communicate with a diverse range of stakeholders and communities will have far reaching impact across a wide number of sectors. Traditionally PhD students trained in the technical aspects of AI have been distinct from those trained in policy and business implementation. This CDT will break that mould by integrating students with a diverse range of backgrounds a
