Research

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Research ✳︎

Joycelyn’s doctoral research at the University of Cambridge centred on the participatory design of justice-led conservation technologies for the conservation of tropical forest ecosystems. Working with bioacoustic technology and a forest community in Ghana, she employed ethnographic methods, participatory design, and machine learning to contribute insights and practices to the emerging field of Conservation Data Justice. She has presented my research to a wide range of institutions and audiences, such as the Geographical Association and the University of Oxford, as well as through her 2023 TEDxLondon Talk.

FIRST AUTHOR

Longdon, J. (2020). Environmental data justice. The Lancet Planetary Health, 4(11), e510-e511.

Longdon, J. (2023, April). Visualising forest sound: Justice-led ecoacoustic data interaction. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (p. 1-5).

Longdon, J., Gabrys, J., & Blackwell, A. F. (2024). Taking data science into the forest. Interdisciplinary Science Reviews, 49(1), 82-103.

Longdon, J., Westerlaken, M., Blackwell, A. F., Gabrys, J., Ossom, B., Ashton-Butt, A., & Acheampong, E. (2024, May). Justice-oriented design listening: Participatory ecoacoustics with a Ghanaian forest community. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (p. 1-12).

Blackwell, A., Gabrys, J., Ashton-Butt, A., Ossom, B., Acheampong, E., & Longdon, J. (2025). Building trust with marginalised communities in participatory acoustic monitoring through dynamic consent. https://doi.org/10.17863/CAM.122269

CO-AUTHOR

Chapman, M., Goldstein, B. R., Schell, C. J., Brashares, J. S., Carter, N. H., Ellis-Soto, D., ... & Boettiger, C. (2024). Biodiversity monitoring for a just planetary future. Science, 383(6678), 34-36.

Sharma, V., Oyewale, C. T., Lazaro Vasquez, E. S., Wani, A. S., Sari, E., Longdon, J., ... & Singh, P. (2024, May). Sustainabilities and HCIs from the Souths. In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (pp. 1-5).

Goldstein, J. E., Brockington, D., Sandbrook, C., Meyfroidt, P., Geldmann, J., Kuemmerle, T., ... & Unks, R. (2026). Environmental data justice is key for developing more effective area-based conservation approaches. Nature Reviews Biodiversity, 1-11.