Prof Emily Shuckburgh

About

Emily Shuckburgh is Professor of Environmental Data Science at the Department of Computer Science and Technology and Chief Scientific Adviser to the UK Government's Department for Energy Security and Net Zero. She is a mathematician and climate scientist and a Fellow of Darwin College, Cambridge. She is President-elect of the Royal Meteorological Society, a Fellow of the Cambridge Institute for Sustainability Leadership, a Fellow of the British Antarctic Survey, a Fellow of the Royal Geographical Society, and an Honorary Fellow of the Energy Institute. At the University of Cambridge she is Academic Director of the Institute of Computing for Climate Science, and co-Director of the Centre for Landscape Regeneration and of the UKRI Centre for Doctoral Training on the Application of AI to the

Selected publications

• 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
• Mede, NG., Cologna, V., 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., Valdez, AC., 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., Cavalcante, KKN., 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, MM., 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. Perceptions of science, science communication, and climate change attitudes in 68 countries - the TISP dataset. Sci Data, v. 12 Doi: 10.1038/s41597-024-04100-7
• 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
• 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
• Rouse, RE., Khamis, D., Hosking, S., McRobie, A. and Shuckburgh, E., 2025. Streamflow prediction using artificial neural networks and soil moisture proxies Environmental Data Science, v. 4 Doi: http://doi.org/10.1017/eds.2024.48
• 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
• 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
• 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: 10.3389/fsci.2024.1340323
• 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
• Debnath, R., Creutzig, F., Sovacool, BK. and Shuckburgh, E., 2023. Harnessing human and machine intelligence for planetary-level climate action. NPJ Clim Action, v. 2 Doi: http://doi.org/10.1038/s44168-023-00056-3