TY - GEN
T1 - Data-driven decisions for flood risk management
AU - Edwards, Elizabeth Ruth
AU - Mullagh, Louise
AU - Towe, Ross
AU - Nundloll, Vatsala
AU - Dean, Claire
AU - Dean, Graham
AU - simm, will
AU - Samreen, Faiza
AU - Bassett, Richard
AU - Blair, Gordon Shaw
PY - 2017/9/6
Y1 - 2017/9/6
N2 - Ensemble is an interdisciplinary research team, working to explore the opportunity of new and emergent digital technologies in understanding, mitigating and adapting to environmental change. Using methods drawn from computer science, environmental science, social science, statistics, art, design and writing the team aim to transform the work of environmental scientists and decision makers, and the experience of communities by addressing themes related to complexity, uncertainty and abstraction of data. This paper discusses activities undertaken within a research ‘sprint’ directed at addressing flood risk management through data driven decision making, communication and community engagement.
AB - Ensemble is an interdisciplinary research team, working to explore the opportunity of new and emergent digital technologies in understanding, mitigating and adapting to environmental change. Using methods drawn from computer science, environmental science, social science, statistics, art, design and writing the team aim to transform the work of environmental scientists and decision makers, and the experience of communities by addressing themes related to complexity, uncertainty and abstraction of data. This paper discusses activities undertaken within a research ‘sprint’ directed at addressing flood risk management through data driven decision making, communication and community engagement.
UR - https://www.research.lancs.ac.uk/portal/en/publications/datadriven-decisions-for-flood-risk-management(f624debd-aac2-435c-b77d-ecec9e9bf1b7).html
U2 - 10.5281/zenodo.884180
DO - 10.5281/zenodo.884180
M3 - Conference contribution
BT - Data for Policy 2017
ER -
