Rau, E-P., Swinfield, T., Williams, A., Keshav, S. and Coomes, D., 2025 (No publication date). Research data supporting "Forecasting carbon credits of prospective REDD+ projects using regional carbon loss patterns" Doi: http://doi.org/10.17863/CAM.116193
2025
Domiter, A. and Keshav, S., 2025. Fine-Grained Mapping of Urban Energy Demand During Heatwaves Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems, Doi: 10.1145/3679240.3734688
Millar, J., Huang, Y., Sethi, S., Haddadi, H. and Madhavapeddy, A., 2025. Benchmarking Ultra-Low-Power μNPUs. CoRR, v. abs/2503.22567
Reynolds, S., Beery, S., Burgess, ND., Burgman, M., Butchart, S., Cooke, S., Coomes, D., Danielsen, F., Di Minin, E., Paz Durán, A., Gassert, F., Hinsley, A., Jaffer, S., Jones, JPG., Li, BV., Mac Aodha, O., Madhavapeddy, A., O'Donnel, SAL., Oxbury, WM., Peck, L., Pettorelli, N., Rodriguez, JP., Shuckburgh, E., Strassburg, B., Yamashita, H., Zhongqi, M. and Sutherland, WJ., 2025. The potential for AI to revolutionise conservation: a horizon scan Trends in Ecology and Evolution, Doi: 10.1016/j.tree.2024年11月01日3
Furner, R., Haynes, P., Jones, DC., Munday, D., Paige, B. and Shuckburgh, E., 2025. The challenge of land in a neural network ocean model Environmental Data Science, v. 3 Doi: 10.1017/eds.2024.49
Reynolds, S., Beery, S., Burgess, ND., Burgman, M., Butchart, S., Cooke, S., Coomes, D., Danielsen, F., Di Minin, E., Paz Durán, A., Gassert, F., Hinsley, A., Jaffer, S., Jones, JPG., Li, BV., Mac Aodha, O., Madhavapeddy, A., O'Donnel, SAL., Oxbury, WM., Peck, L., Pettorelli, N., Rodriguez, JP., Shuckburgh, E., Strassburg, B., Yamashita, H., Zhongqi, M. and Sutherland, WJ., 2025. The potential for AI to revolutionise conservation: a horizon scan Trends in Ecology and Evolution, Doi: 10.1016/j.tree.2024年11月01日3
Zuñiga-Gonzalez, A., Madhavapeddy, A. and Bardhan, R., 2025. Green Urban Equity: Analyzing the 3-30-300 Rule in UK Cities and Its Socioeconomic Implications Doi: 10.5194/egusphere-egu24-20833
Eyres, A., Ball, TS., Dales, M., Swinfield, T., Arnell, A., Baisero, D., Durán, AP., Green, JMH., Green, RE., Madhavapeddy, A. and Balmford, A., 2025. LIFE: A metric for mapping the impact of land-cover change on global extinctions Philosophical Transactions of the Royal Society B: Biological Sciences, v. 380 Doi: 10.1098/rstb.2023.0327
Eyres, A., Ball, TS., Dales, M., Swinfield, T., Arnell, A., Baisero, D., Durán, AP., Green, JMH., Green, RE., Madhavapeddy, A. and Balmford, A., 2025. LIFE: A metric for mapping the impact of land-cover change on global extinctions. Philos Trans R Soc Lond B Biol Sci, v. 380 Doi: http://doi.org/10.1098/rstb.2023.0327
Nivron, O., Wischik, DJ., Vrac, M., Shuckburgh, E. and Archibald, AT., 2025. A temporal stochastic bias correction using a machine learning attention model Environmental Data Science, v. 3 Doi: 10.1017/eds.2024.42
Madhavapeddy, A., Scott, DJ., Ferris, P., Gibb, RT. and Gazagnaire, T., 2025. Functional Networking for Millions of Docker Desktops (Experience Report) Proceedings of the ACM on Programming Languages, v. 9 Doi: 10.1145/3747525
Millar, J., Haddadi, H. and Madhavapeddy, A., 2025. Energy-Aware Deep Learning on Resource-Constrained Hardware. CoRR, v. abs/2505.12523
Iyer, R., Christie, AP., Madhavapeddy, A., Reynolds, S., Sutherland, W. and Jaffer, S., 2025. Careful design of Large Language Model pipelines enables expert-level retrieval of evidence-based information from syntheses and databases Plos One, v. 20 Doi: http://doi.org/10.1371/journal.pone.0323563
Reynolds, SA., Beery, S., Burgess, N., Burgman, M., Butchart, SHM., Cooke, SJ., Coomes, D., Danielsen, F., Di Minin, E., Durán, AP., Hinsley, A., Jaffer, S., Jones, JPG., Li, BV., Madhavapeddy, A., Peck, L., Pettorelli, N., Rodríguez, JP. and Sutherland, WJ., 2025. Conservation changed but not divided Trends in Ecology and Evolution, v. 40 Doi: http://doi.org/10.1016/j.tree.202504002
Capol, L., Keshav, S. and Nagy, Z., 2025. Activity hours: Assessing liveability during heatwaves Building and Environment, v. 269 Doi: http://doi.org/10.1016/j.buildenv.2024.112339
Feng, Z., She, Y. and Keshav, S., 2025. SPREAD: A large-scale, high-fidelity synthetic dataset for multiple forest vision tasks Ecological Informatics, v. 87 Doi: http://doi.org/10.1016/j.ecoinf.2025.103085
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Cologna, V., Mede, NG., Berger, S., Besley, J., Brick, C., Joubert, M., Maibach, EW., Mihelj, S., Oreskes, N., Schäfer, MS., van der Linden, S., Abdul Aziz, NI., Abdulsalam, S., Shamsi, NA., Aczel, B., Adinugroho, I., Alabrese, E., Aldoh, A., Alfano, M., Ali, IM., Alsobay, M., Altenmüller, M., Alvarez, RM., Amoako, R., Amollo, T., Ansah, P., Apriliawati, D., Azevedo, F., Bajrami, A., Bardhan, R., Bati, K., Bertsou, E., Betsch, C., Bhatiya, AY., Bhui, R., Białobrzeska, O., Bilewicz, M., Bouguettaya, A., Breeden, K., Bret, A., Buchel, O., Cabrera-Álvarez, P., Cagnoli, F., Calero Valdez, A., Callaghan, T., Cases, RK., Çoksan, S., Czarnek, G., De Peuter, S., Debnath, R., Delouvée, S., Di Stefano, L., Díaz-Catalán, C., Doell, KC., Dohle, S., Douglas, KM., Dries, C., Dubrov, D., Dzimińska, M., Ecker, UKH., Elbaek, CT., Elsherif, M., Enke, B., Etienne, TW., Facciani, M., Fage-Butler, A., Faisal, MZ., Fan, X., Farhart, C., Feldhaus, C., Ferreira, M., Feuerriegel, S., Fischer, H., Freundt, J., Friese, M., Fuglsang, S., Gallyamova, A., Garrido-Vásquez, P., Garrido Vásquez, ME., Gatua, W., Genschow, O., Ghasemi, O., Gkinopoulos, T., Gloor, JL., Goddard, E., Gollwitzer, M., González-Brambila, C., Gordon, H., Grigoryev, D., Grimshaw, GM., Guenther, L., Haarstad, H., Harari, D., Hawkins, LN., Hensel, P., Hernández-Mondragón, AC., Herziger, A., Huang, G., Huff, M., Hurley, M., Ibadildin, N., Ishibashi, M., Islam, MT., Jeddi, Y., Jin, T., Jones, CA., Jungkunz, S., Jurgiel, D., Kabdulkair, Z., Kao, J-J., Kavassalis, S., Kerr, JR., Kitsa, M., Klabíková Rábová, T., Klein, O., Koh, H., Koivula, A., Kojan, L., Komyaginskaya, E., König, L., Koppel, L., Koren Nobre Cavalcante, K., Kosachenko, A., Kotcher, J., Kranz, LS., Krishnan, P., Kristiansen, S., Krouwel, A., Kuppens, T., Kyza, EA., Lamm, C., Lantian, A., Lazić, A., Lecuona, O., Légal, J-B., Leviston, Z., Levy, N., Lindkvist, AM., Lits, G., Löschel, A., López Ortega, A., Lopez-Villavicencio, C., Lou, NM., Lucas, CH., Lunz-Trujillo, K., Marques, MD., Mayer, SJ., McKay, R., Mercier, H., Metag, J., Milfont, TL., Miller, JM., Mitkidis, P., Monge-Rodríguez, F., Motta, M., Mudra, I., Muršič, Z., Namutebi, J., Newman, EJ., Nitschke, JP., Ntui, N-NV., Nwogwugwu, D., Ostermann, T., Otterbring, T., Palmer-Hague, J., Pantazi, M., Pärnamets, P., Parra Saiani, P., Paruzel-Czachura, M., Parzuchowski, M., Pavlov, YG., Pearson, AR., Penner, MA., Pennington, CR., Petkanopoulou, K., Petrović, MB., Pfänder, J., Pisareva, D., Ploszaj, A., Poliaková, K., Pronizius, E., Pypno-Blajda, K., Quiñones, DMA., Räsänen, P., Rauchfleisch, A., Rebitschek, FG., Refojo Seronero, C., Rêgo, G., Reynolds, JP., Roche, J., Rödder, S., Röer, JP., Ross, RM., Ruin, I., Santos, O., Santos, RR., Schmid, P., Schulreich, S., Scoggins, B., Sharaf, A., Sheria Nfundiko, J., Shuckburgh, E., Six, J., Solak, N., Späth, L., Spruyt, B., Standaert, O., Stanley, SK., Storms, G., Strahm, N., Syropoulos, S., Szaszi, B., Szumowska, E., Tanaka, M., Teran-Escobar, C., Todorova, B., Toko, AK., Tokrri, R., Toribio-Florez, D., Tsakiris, M., Tyrala, M., Uluğ, ÖM., Uzoma, IC., van Noord, J., Varda, C., Verheyen, S., Vilares, I., Vlasceanu, M., von Bubnoff, A., Walker, I., Warwas, I., Weber, M., Weninger, T., Westfal, M., Wintterlin, F., Wojcik, AD., Xia, Z., Xie, J., Zegler-Poleska, E., Zenklusen, A. and Zwaan, RA., 2025. Trust in scientists and their role in society across 68 countries. Nat Hum Behav, Doi: 10.1038/s41562-024-02090-5
Wang, J., Chang, L., Aggarwal, S., Abari, O. and Keshav, S., 2025. Sustainable and Low-Cost Greenhouse Soil Moisture Monitoring Using Battery-Free RFID Sensors ACM Transactions on Sensor Networks, v. 21 Doi: 10.1145/3715128
Virdee, M., Kazlauskaite, I., Boland, EJD., Shuckburgh, E. and Ming, A., 2025. Spatial and temporal dependence in distribution-based evaluation of CMIP6 daily maximum temperatures Atmospheric Science Letters, v. 26 Doi: http://doi.org/10.1002/asl.1290