Data-driven decisions for flood risk management

Elizabeth Ruth Edwards; Louise Mullagh; Ross Towe; Vatsala Nundloll; Claire Dean; Graham Dean; will simm; Faiza Samreen; Richard Bassett; Gordon Shaw Blair

doi:10.5281/zenodo.884180

Data-driven decisions for flood risk management

Elizabeth Ruth Edwards
, Louise Mullagh
, Ross Towe
, Vatsala Nundloll
, Claire Dean
, Graham Dean
, will simm
, Faiza Samreen
, Richard Bassett
, Gordon Shaw Blair

Earth and Environmental Sciences - Academic & Research

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	Data for Policy 2017
DOIs	https://doi.org/10.5281/zenodo.884180
Publication status	Published - 6 Sept 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

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10.5281/zenodo.884180

Cite this

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title = "Data-driven decisions for flood risk management",

abstract = "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 {\textquoteleft}sprint{\textquoteright} directed at addressing flood risk management through data driven decision making, communication and community engagement.",

author = "Edwards, \{Elizabeth Ruth\} and Louise Mullagh and Ross Towe and Vatsala Nundloll and Claire Dean and Graham Dean and will simm and Faiza Samreen and Richard Bassett and Blair, \{Gordon Shaw\}",

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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

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DO - 10.5281/zenodo.884180

M3 - Conference contribution

BT - Data for Policy 2017

ER -

Data-driven decisions for flood risk management

Abstract

UN SDGs

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