The student is at the heart of the EI training programme and each will have an individually planned pathway through a menu of core and optional modules. Students will receive formal training in both specialised topics and broader interdisciplinary teaching relevant to the remit of the CDT.
There will be four main pillars of training:
Foundations of Environmental Intelligence (FEI): including AI, machine learning, statistical modelling, environment and health, climate science, and the circular economy;
Challenges in environmental, climate and sustainability research (CECS): designed to expose students to a selection of today’s most important environmental and sustainability challenges;
Governance and Responsible Innovation (GTI): the governance, social, environmental and ethical context of AI and data science related to case studies in climate, environment and sustainable development;
Development, Translation & Engagement (DTE): developing the skills required to be an effective researcher; communication, public engagement, outreach.
The cohort will be at the core of student learning; students will learn through a combination of targeted taught courses, individual projects and team problem-solving challenges and will be supported to self-organise/support. Taught courses will be used to deliver core knowledge and skills in a cohort.