2025
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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.2024.11.013
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,
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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
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
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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
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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
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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
2024 (Published online)
Collins, M., Beverley, JD., Bracegirdle, TJ., Catto, J., McCrystall, M., Dittus, A., Freychet, N., Grist, J., Hegerl, GC., Holland, PR., Holmes, C., Josey, SA., Joshi, M., Hawkins, E., Lo, E., Lord, N., Mitchell, D., Monerie, P-A., Priestley, MDK., Scaife, A., Screen, J., Senior, N., Sexton, D., Shuckburgh, E., Siegert, S., Simpson, C., Stephenson, DB., Sutton, R., Thompson, V., Wilcox, LJ. and Woollings, T., 2024 (Published online). Emerging signals of climate change from the equator to the poles: new insights into a warming world Frontiers in Science, v. 2
Doi: http://doi.org/10.3389/fsci.2024.1340323
2024 (No publication date)
2024
Swinfield, T., Shrikanth, S., Bull, JW., Madhavapeddy, A. and zu Ermgassen, SOSE., 2024. Nature-based credit markets at a crossroads Nature Sustainability, v. 7
Doi: 10.1038/s41893-024-01403-w
Millar, J., Sethi, S., Haddadi, H. and Madhavapeddy, A., 2024. Poster: Towards Low-Power Comprehensive Biodiversity Monitoring SenSys 2024 - Proceedings of the 2024 ACM Conference on Embedded Networked Sensor Systems,
Doi: http://doi.org/10.1145/3666025.3699400
Nath, P., Moss, H., Shuckburgh, E. and Webb, M., 2024. RAIN: Reinforcement Algorithms for Improving Numerical Weather and Climate Models. CoRR, v. abs/2408.16118
Nivron, O., Wischik, DJ., Vrac, M. and Shuckburgh, E., 2024. A Temporal Bias Correction using a Machine Learning Attention model. CoRR, v. abs/2402.14169
Vijayakumar, S., Madhavapeddy, A. and Kalyvianaki, E., 2024. Scheduling for Reduced Tail Task Latencies in Highly Utilized Datacenters SoCC 2024 - Proceedings of the 2024 ACM Symposium on Cloud Computing,
Doi: http://doi.org/10.1145/3698038.3698522
Rau, EP., Gross, J., Coomes, DA., Swinfield, T., Madhavapeddy, A., Balmford, A. and Keshav, S., 2024. Mitigating risk of credit reversal in nature-based climate solutions by optimally anticipating carbon release Carbon Management, v. 15
Doi: 10.1080/17583004.2024.2390854
