DREAM assembles a world-leading consortium, and associated partnership, of research excellence in the theory and application of risk mitigation using Big Data – across the environmental sciences, with close access to industry, government and NGO end-users. The four institutional partners have substantial, comprehensive track records, with collective experience in tackling authentic and challenging risk management problems, positioning DREAM with a unique, disruptive approach to Big Data synthesis for reducing uncertainties associated with risk.
The 2017 Call for Academics to submit DREAM Research Project is now closed
The call for project ideas for the 2017 DREAM cohorts are now closed, with project ideas received and now successful student applicants interviewd and appointed. A full set of exciting and novel prospective project ideas was received from academic colleagues across the four university partners of DREAM. This webpage is retained as a reference.
The following forms are retained online for reference for staff from any of the four consortium universities relating to the submission of prospective projects to the DREAM Management Board team members from their University.
|1. DREAM CDT Call Guidelines.|
|2. DREAM CDT Proposal Form.|
Timeline and what happens next
- Call for proposals released on the DREAM website – Open!
- Proposal submission deadline to your local representative – Thursday 1st December, 2016
- Announcement of local institute proposal selection – Friday 15th December, 2016
- Studentships advertised on DREAM website and nationally – from Friday 13th January, 2017
- Applications received from prospective candidates – by Monday 13th March, 2017
- Interviews of applicants – by Tuesday 28th March, 2017
- Announcement of successful candidates – Friday 7th April, 2017
- 2017 intake Induction – October, 2017
See here for the steps involved in any subsequent prospective Student Application »
What type of calls are we looking for?
We encourage project proposals across the whole of the NERC priority areas that encompass the core science areas identified. In addition, in the current round here we would especially like to see project proposals that focus on the security and legal issues for handling data and information as it relates to risk management; the measurement, characterisation and handling of uncertainty, including within model chains; and risk perception, communication, decision making and management.
What sort of project ideas are there?
As DREAM progresses, we are seeking to sponsor innovative Doctoral research topics for our students, drawing across the academic /industrial partnerships in place. The ongoing research, and project ideas accepted within the first two cohorts of students comprise the following thesis topics/titles:
- Modelling the impact on infrastructure resilience of local vegetation-influenced ground movement with multi-scale spatio-temporal environmental data OR The impact of tree related ground movement on water infrastructure
- Coastal management and adaptation an integrated big data approach – improved risk-based decision-making
- Multiscale prediction of groundwater response to extreme events
- Managing complexity: big data underpinning environmental and economic sustainability in the UK water industry
- Global infrastructure flood risk analysis using big data
- Modelling flooding from multiple sources using coupled models and multi-scale high-resolution datasets
- Real-time estimation of lake volume and river discharge from satellite altimetry and remotely sensed imagery in ungauged basins
- Panda Alert: understanding the significance of adverse health event reports using distributed semantic models
- Cold fish – an assessment of the potential risk for climate change induced extinction of high latitude fish species, and the impact on high latitude Southern Ocean fisheries
- Geochemical processes affecting the mobility of colloids and associated radionuclides: long-term evolution of engineered repository barriers at geological disposal facilities
- The Use of Remote Sensing and GIS for Monitoring Rangeland Degradation in Libya
- Integrated Model of Early Warning System (EWS) of Desertification in Libya
- Assessing the current Status of the Natural Vegetation Cover in Al Jabal Al Akhdar Region, North East Libya, and Future Land Cover Management planning