Currently browsing: Citizen Science and Artificial Intelligence

Number of items at this level: 9.
Generated on Mon Sep 9 19:52:20 2024 BST.

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Ao, Shuang; Rüger, Stefan and Siddharthan, Advaith (2022). Confidence-Aware Calibration and Scoring Functions for Curriculum Learning. In: 2022 15th International Conference on Machine Vision., 18-20 Nov 2022, Rome, Italy.

Aristeidou, Maria; Lorke, Julia and Ismail, Nashwa (2023). Citizen Science: Schoolteachers’ Motivation, Experiences, and Recommendations. International Journal of Science and Mathematics Education, 21 pp. 2067–2093.

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Colucci-Gray, Laura; Hancock, Jonathan; Islam, Riasat; Sharma, Nirwan; Manches, Andrew; Bowers, Lisa; Lakeman-Fraser, Poppy; Mozier, Stephen; Newman, Julie; Reuger, Stefan and Siddharthan, Advaith (2024). Seeing with hands and touching with eyes: recovering sensorial attention to nature in primary schools. In: First International Conference on Embodied Education, 15-17 May 2024, Danish School of Education (DPU), Tuborgvej 164, 2400 Copenhagen, Denmark.

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Dodd, Michael; Valentine, Chris and Ansine, Janice (2023). Exploring taxonomic and geographic spread of iSpot citizen science observations. In: National Biodiversity Network (NBN) Conference 2023, 23 Nov 2023, National Museums Scotland, Edinburgh.

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Hancock, Jonathan; Colucci-Gray, Laura; Siddharthan, Advaith; Manches, Andrew; Sharma, Nirwan; Islam, Riasat; Bowers, Lisa; Reuger, Stefan; Lakeman-Fraser, Poppy; Newman, Julie; Mozier, Stephen and Barry, Richard (2023). “We felt the textures from nature and it gave us new ideas”: Investigating sustainability education through primary school children’s natural and digital haptic touch explorations. In: SERA Conference 2023, Wednesday 22 - Friday 24 Nov 2023, Queen Margaret University, Musselburgh, United Kingdom, p. 108.

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Lakeman Fraser, Poppy; Colluci-Gray, Laura; Robinson, Annie; Sforzi, Andrea; Staples-Rolf, Ruth; Newman, Julie; Gill, Richard; Sharma, Nirwan; Rüger, Stefan and Siddharthan, Advaith (2023). X-Polli:Nation: Contributing towards sustainable development goals through school-based pollinator citizen science. Citizen Science: Theory and Practice, 8(1), article no. 48.

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Reynolds, M. (2024). Navigating our ‘zone of interest’ in evaluative practice. Evaluative Practice (Members Journal of UK Evaluation Society), 02 pp. 11–15.

Riechmann, Miklas; Gardiner, Ross; Waddington, Kai; Rueger, Ryan; Fol Leymarie, Frederic and Rueger, Stefan (2022). Motion vectors and deep neural networks for video camera traps. Ecological Informatics, 69, article no. 101657.

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Sharma, Nirwan; Colucci-Gray, Laura; van der Wal, Rene and Siddharthan, Advaith (2022). Consensus building in on-line citizen science. In: Proceedings of the ACM on Human-Computer Interaction, 6(CSCW2), article no. 434.

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