Finished! Looks like this project is out of data at the moment!
Nature SPAM Filter project is now complete! Thank you for all your help. Stay in touch to learn about results
The Team
Diogo Veríssimo is a Research Fellow at the University of Oxford, focused on the design and evaluation behaviour change interventions to conserve biodiversity. Diogo is part of the IUCN's Specialist Group in Human-Wildlife Conflict and Coexistence, and as part of it developed an interest in using online data to develop new ways to monitor conflict at a global scale.
Alexandra Markitantova is an ecologist who recently completed her MSc in Ecology and Data Science at UCL. With a passion for blending technology with environmental science, she focuses on uncovering insights into biodiversity and ecosystem health using AI and data-driven approaches. Her recent work utilises eDNA analysis of freshwater lake sediments to establish historical conservation baselines. Alexandra's enthusiasm for finding innovative solutions for ecological challenges through AI drives her mission to address the unreliability of using media keyword searches to extract meaningful information about wildlife.
Isabelle Leconche is an environmental scientist who completed an MSc in Biodiversity and Global Change at UCL, where she incorporated tech solutions to address macro-ecological problems including climate change and insect biodiversity loss. Isabelle is passionate about layering science with human perspectives to inform better conservation practices. Combining the power of people and AI is the perfect chance to accelerate and refine media research for conservation.
Alisa Apreleva is a distracted cross-disciplinary postdoctoral researcher at the University of Oxford specialising in neurodiversity and human-computer interaction in digital crowdsourced research. Her background is in linguistics, ethnomusicology, music therapy and arts and health humanitarian action. Alisa is a project liaison and communications lead for Zooniverse team in Oxford.
Lukas Günthermann is a PhD student at the University of Sussex researching Annotation Assistance in the scope of Human Activity Recognition. He is also working on ecoacoustic sensing to monitor biodiversity.
Robert Vava is a machine learning engineer with research experience in neuroscience.
