Meet the team
Michael Sinclair
Dr Michael Sinclair is a Lecturer in Urban Analytics at the Urban Big Data Centre and Principle Investigator of the ESRC SDAI grant 'Developing and exploring methods to understand human-nature interactions in urban areas using new forms of big data'. Michael completed his PhD in Natural Resources and Environmental Management where he explored human-nature interactions via crowdsourced data. He has an MA in Geography from the University of Edinburgh, UK, and an MBA with a focus on sustainability from the University of Haifa, Israel. His research interests revolve around using Digital Footprints Data to address environmental issues with a specific focus on human-nature interactions
Positions
Lecturer in Urban Analytics
Publication links
Positions
Lecturer in Urban Analytics
Contact Details
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Publications
Exploring Accessibility to Urban Green Spaces: A Novel Approach using Spatial Interaction Models and Mobile App Data.
Social media data for environmental sustainability: A critical review of opportunities, threats, and ethical use.
Estimating Greenspace Visitation Using Digital Footprints Data: A Collaboration with Glasgow City Council to Aid in Open Space Policy and Operations [poster]
Assessing the socio-demographic representativeness of mobile phone application data.
In the AI of the beholder: A comparative analysis of computer vision-assisted characterizations of human-nature interactions in urban green spaces.
Understanding the Socio-demographic Representation of Tamoco Mobile Phone App Data in Glasgow City Region.
Economic appraisal of ecosystem services and restoration scenarios in a tropical coastal Ramsar wetland in India.
Understanding the Use of Greenspace Before and During the COVID-19 Pandemic by Using Mobile Phone App Data.
Using social media to estimate visitor provenance and patterns of recreation in Germany's national parks.
Valuing nature-based recreation using a crowdsourced travel cost method: a comparison to onsite survey data and value transfer.
Novel insights on intensity and typology of direct human-nature interactions in protected areas through passive crowdsourcing.
Passive crowdsourcing of social media in environmental research: a systematic map.
Recreation and environmental quality of tropical wetlands: a social media based spatial analysis.
A crowdsourced valuation of recreational ecosystem services using social media data: An application to a tropical wetland in India.
Jointly funded by
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