Dr Jessica Wardlaw
Citizen Science Programme Developer
Division: LS Angela Marmont Centre
Summary
Dr Jessica Wardlaw is Citizen Science Programme Developer at the Natural History Museum (NHM) in London. At the NHM she builds on six years’ experience as a citizen science researcher and practitioner to develop citizen science projects to investigate key questions concerning current and future UK biodiversity, and open up NHM’s collections for research. Jessica is active within international citizen science networks, through which the NHM Citizen Science team support practitioners with products, services and resources. Her particular interest is in how citizen science can create advocates for the planet, engage and involve the widest possible audience, as well as support the UN Sustainable Development Goals.
Qualifications
- Engineering Doctorate, UCL, UK
- MA (Oxon), University of Oxford, UK, 2001 - 2004
Degrees
Employment history
- Research Fellow, University of Nottingham, UK, 2015 - 2019
Academic
Fellowships
Industrial Fellowship from the Royal Commission for the Exhibition of 1851, University College London, London, United Kingdom, 2010 - 2012.
Publications
Fraisl D, Campbell J, See L, Wehn U, Wardlaw J, Gold M, Moorthy I, Arias R, Piera J, Oliver JL, Masó J, Penker M, Fritz S (2020) Mapping citizen science contributions to the UN sustainable development goals. Sustainability Science, 15 (6) : 1735 - 1751. doi: 10.1007/s11625-020-00833-7
Houghton R, Sprinks J, Wardlaw J, Bamford S, Marsh S (2019) A sociotechnical system approach to virtual citizen science: an application of BS ISO 27500:2016. Journal of Science Communication, 18 (01) : A01 - A01. doi: 10.22323/2.18010201
Wardlaw J, Sprinks J, Houghton R, Muller J-P, Sidiropoulos P, Bamford S, Marsh S (2018) Comparing experts and novices in Martian surface feature change detection and identification. International Journal of Applied Earth Observation and Geoinformation, 64 : 354 - 364. doi: 10.1016/j.jag.2017.05.014
Haklay M, Mazumdar S, Wardlaw J (2018) Citizen Science for observing and understanding the Earth, In: Earth Observation Open Science and Innovation, Mathieu P-P, Aubrecht C (Eds). Springer :
Foody G, Ling F, Boyd D, Li X, Wardlaw J (null) Earth Observation and Machine Learning to Meet Sustainable Development Goal 8.7: Mapping Sites Associated with Slavery from Space. Remote Sensing, 11 (3) : 266 - 266. doi: 10.3390/rs11030266