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Biography
Dr Bastin is Reader in Computer Science and an expert in spatio-temporal analysis for a range of environmental and conservation contexts.
She has 30 years’ research expertise in remote sensing, GIS, land-use/land-cover change analysis and field survey design, including web-based validation tools for forestry monitoring experts.
Her research includes interdisciplinary collaborations with microbiologists, traffic planners, conservationists, economists, energy companies and town planners.
She currently leads the pilot studies work package in the Horizon project ‘All Data for Green Deal’, which will co-create and shape the European Green Deal Data Space, delivering FAIR (findable, accessible, interoperable and reusable) data and analysis services to support the European Commission in decisions and actions on biodiversity, climate change and air pollution.
As Lead Developer for the European Commission’s Digital Observatory for Protected Areas (DOPA)(https://dopa.jrc.ec.europa.eu/dopa/) she coordinated a team of developers processing heterogeneous environmental datasets (e.g. satellite products, species models,citizen science data and in situ field observations) to generate robust indicators and transparent, accessible reports that support decision making around conservation and nature-based solutions.
DOPA was used by the Convention on Biological Diversity to develop 196 country data dossiers identifying focussed actions for the implementation of Aichi targets 11 and 12.
Areas of Expertise (4)
Data Analytics
Software Engineering
Engineering
Applied Sciences
Accomplishments (1)
Finalist, Women in Tech Award
2021
Education (3)
University of Birmingham: PhD, Spatial Urban Ecology 1996
University of Leicester: MSc, Geographical Information Science 1995
University of Nottingham: BSc, Zoology 1991
Affiliations (1)
- Fellow of the Higher Education Academy
Links (3)
Media Appearances (1)
Mapping and Reliable Information: Lucy Bastin at TEDxBrum
TEDx online
2013-07-19
Lucy Bastin initially dropped out of University and stumbled onto a job creation scheme at the Birmingham and Black Country Wildlife Trust which inspired her with a love of urban wildlife habitats and an appreciation of their contribution to biodiversity. Subsequent attempts at higher education were more successful, and she is now a Senior Lecturer in Computer Science at the University of Aston, applying spatio-temporal analysis to ecological and environmental challenges such as conservation planning and disease monitoring. She has a particular interest in how data and scientific models can be shared over the Web to enable cross-disciplinary problem solving, and in the ways that we assess and evaluate the reliability of these shared resources.
Articles (2)
Post-2020 Global Biodiversity Framework: Support and a Pathway for Inland Water Ecosystems in the ‘30 by 30’Target, Monitoring Framework and Implementation
The Nature Conservancy2022 Key Recommendations: Explicit inclusion of inland water* ecosystems in the area-based conservation targets and indicators is critical to recover and safeguard the most threatened and least protected ecosystems and biodiversity on the planet. This briefing provides an overview of the evidence for this recommendation, a global baseline estimate of their current protection status and recommended pathways for inclusion, beginning with a call for the following changes to include inland waters in the final text of the Post-2020 Global Biodiversity Framework: An Information Document addressing these topics in detail will be produced in coordination with and for use by Parties and organizations in advance of COP15. The consortium of organizations supporting this brief is committed to operationalizing the recommendations outlined below.
International Community Guidelines for Sharing and Reusing Quality Information of Individual Earth Science Datasets
OSF Preprints for Earth Science Information Partners (ESIP)2022 Under the auspices of the Earth Science Information Partners (ESIP) and with collaboration among members of the ESIP Information Quality Cluster (IQC), the Barcelona Supercomputing Center (BSC) Evaluation and Quality Control (EQC) team, and the Australia/New Zealand Data Quality Interest Group (AU/NZ DQIG), a community effort has been undertaken by international Earth Science domain experts. The objective of this effort is to develop global community guidelines with practical recommendations to promote the representation, sharing and reuse of quality information at the dataset level, leveraging the experiences and expertise of a team of interdisciplinary domain experts and community best practices. The community guidelines are inspired by the guiding principles of findability, accessibility, interoperability, and reusability (FAIR) and aim to help stakeholders such as science data centers, repositories, data producers and publishers, data managers and stewards, etc., i) to capture, des.....
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