Items where IIASA Author is "Javalera Rincón, Valeria"
Article
Apetrei, C., Strelkovskii, N. ORCID: https://orcid.org/0000-0001-6862-1768, Khabarov, N. ORCID: https://orcid.org/0000-0001-5372-4668 & Javalera Rincón, V. ORCID: https://orcid.org/0000-0001-8743-9777 (2024). Improving the representation of smallholder farmers’ adaptive behaviour in agent-based models: Learning-by-doing and social learning. Ecological Modelling 489, e110609. 10.1016/j.ecolmodel.2023.110609.
Orduña-Cabrera, F. ORCID: https://orcid.org/0000-0002-8558-0053, Sandoval-Gastelum, M., McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988, See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549, Karanam, S., Sturn, T., Javalera Rincón, V. ORCID: https://orcid.org/0000-0001-8743-9777 & Gonzalez-Navarro, F.F. (2023). Investigating the Use of Street-Level Imagery and Deep Learning to Produce In-Situ Crop Type Information. Geographies 3 (3), 563-573. 10.3390/geographies3030029.
Mosnier, A., Javalera-Rincón, V. ORCID: https://orcid.org/0000-0001-8743-9777, Jones, S.K., Andrew, R., Bai, Z., Baker, J., Basnet, S., Boer, R., Chavarro, J., Costa, W., Daloz, A.S., DeClerck, F.A., Diaz, M., Douzal, C., Howe Fan, A.C., Fetzer, I., Frank, F., Gonzalez-Abraham, C.E., Habiburrachman, A.H.F., Immanuel, G. et al. (2023). A decentralized approach to model national and global food and land use systems. Environmental Research Letters 18 (4), e045001. 10.1088/1748-9326/acc044.
Mosnier, A., Schmidt-Traub, G., Obersteiner, M. ORCID: https://orcid.org/0000-0001-6981-2769, Jones, S., Javalera Rincón, V. ORCID: https://orcid.org/0000-0001-8743-9777, DeClerck, F., Thomson, M., Sperling, F., Harrison, P., Pérez Guzmán, K. ORCID: https://orcid.org/0000-0001-5189-6570, McCord, G.C., Navarro-Garcia, J., Marcos-Martinez, R., Wu, G.C., Poncet, J., Douzal, C., Steinhauser, J. ORCID: https://orcid.org/0000-0002-5989-6855, Monjeau, A., Frank, F., Lehtonen, H. et al. (2022). How can diverse national food and land-use priorities be reconciled with global sustainability targets? Lessons from the FABLE initiative. Sustainability Science 18 (1), 335-345. 10.1007/s11625-022-01227-7.
Navarro Garcia, J., Marcos-Martinez, R., Mosnier, A., Schmidt-Traub, G., Javalera Rincón, V. ORCID: https://orcid.org/0000-0001-8743-9777, Obersteiner, M. ORCID: https://orcid.org/0000-0001-6981-2769, Pérez Guzmán, K. ORCID: https://orcid.org/0000-0001-5189-6570, Thomson, M. ORCID: https://orcid.org/0000-0002-5693-0245, Penescu, L., Douzal, C., Bryan, B.A. & Hadjikakou, M. (2022). Multi-target scenario discovery to plan for sustainable food and land systems in Australia. Sustainability Science 18 (1), 371-388. 10.1007/s11625-022-01202-2.
Book Section
FABLE (2024). Transforming food and land systems to achieve the SDGs. In: The SDGs and the UN Summit of the Future. Sustainable Development Report 2024. Eds. Sachs, J.D., Lafortune, G. & Fuller, G., pp. 50-82 Dublin, Ireland: Dublin University Press. ISBN 978-0-903200-18-9 10.25546/108572.
Javalera Rincón, V. ORCID: https://orcid.org/0000-0001-8743-9777, Cayuela, V.P., Seix, B.M. & Orduña-Cabrera, F. ORCID: https://orcid.org/0000-0002-8558-0053 (2019). Cooperative Linker for the Distributed Control of the Barcelona Drinking Water Network. In: Proceedings of the 11th International Conference on Agents and Artificial Intelligence (ICAART 2019). pp. 560-567 Porto, Portugal: ICAART. ISBN 978-989-758-350-6 10.5220/0007349105600567.
Javalera Rincón, V. ORCID: https://orcid.org/0000-0001-8743-9777, Cayuela, V.P., Seix, B.M. & Orduña-Cabrera, F. ORCID: https://orcid.org/0000-0002-8558-0053 (2019). Reinforcement Learning Approach for Cooperative Control of Multi-Agent Systems. In: Proceedings of the 11th International Conference on Agents and Artificial Intelligence (ICAART 2019). pp. 80-91 Porto, Portugal: ICAART. ISBN 978-989-758-350-6 10.5220/0007349000800091.
Monograph
Javalera Rincón, V. ORCID: https://orcid.org/0000-0001-8743-9777, Orduña-Cabrera, F. ORCID: https://orcid.org/0000-0002-8558-0053, Obersteiner, M. ORCID: https://orcid.org/0000-0001-6981-2769 & Rios, A. (2022). Smart Linker for harmonizing trade assumptions between countries' sustainable pathways on the FABLE's Scenathon. IIASA Report. IIASA, Laxenburg, Austria
Rovenskaya, E. ORCID: https://orcid.org/0000-0002-2761-3443, Aghababaei Samani, K., Baklanov, A. ORCID: https://orcid.org/0000-0003-1599-3618, Ermolieva, T., Folberth, C. ORCID: https://orcid.org/0000-0002-6738-5238, Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549, Hadi, H., Javalera Rincón, V. ORCID: https://orcid.org/0000-0001-8743-9777, Krasovskii, A. ORCID: https://orcid.org/0000-0003-0940-9366, Laurien, F. ORCID: https://orcid.org/0000-0001-7329-5864, Poblete Cazenave, M., Schinko, T. ORCID: https://orcid.org/0000-0003-1156-7574, Smilovic, M. ORCID: https://orcid.org/0000-0001-9651-8821 & Zebrowski, P. ORCID: https://orcid.org/0000-0001-5283-8049 (2019). Artificial Intelligence and Machine Learning for Systems Analysis of the 21st Century. IIASA Working Paper. Laxenburg, Austria: WP-19-010
Data
Apetrei, C., Strelkovskii, N. ORCID: https://orcid.org/0000-0001-6862-1768, Khabarov, N. ORCID: https://orcid.org/0000-0001-5372-4668 & Javalera Rincón, V. ORCID: https://orcid.org/0000-0001-8743-9777 (2023). Learning Extension - RAGE RAngeland Grazing Model 1.0.0.
Javalera Rincón, V. ORCID: https://orcid.org/0000-0001-8743-9777, Mosnier, A., Obersteiner, M. ORCID: https://orcid.org/0000-0001-6981-2769, Orduña-Cabrera, F. ORCID: https://orcid.org/0000-0002-8558-0053 & fableconsortium (2023). Scenathon 2019. 10.5281/zenodo.7969574.
Javalera Rincón, V. ORCID: https://orcid.org/0000-0001-8743-9777, Obersteiner, M. ORCID: https://orcid.org/0000-0001-6981-2769, Mosnier, A., fableconsortium & Orduña-Cabrera, F. ORCID: https://orcid.org/0000-0002-8558-0053 (2023). Scenathon 2020. 10.5281/zenodo.7969716.
Javalera Rincón, V. ORCID: https://orcid.org/0000-0001-8743-9777, Obersteiner, M. ORCID: https://orcid.org/0000-0001-6981-2769, Mosnier, A., Douzal, C., Orduña-Cabrera, F. ORCID: https://orcid.org/0000-0002-8558-0053 & fableconsortium (2023). Scenathon 2021. 10.5281/zenodo.7969743.
Other
FABLE (2022). National food and land mitigation pathways for net zero. Alliance of Bioversity International and the International Center for Tropical Agriculture & Sustainable Development Solutions Network (SDSN) , Montpellier/Paris, France.
FABLE (2022). Pathways for food and land use systems to contribute to global biodiversity targets. FABLE Policy Brief. Alliance of Bioversity International and the International Center for Tropical Agriculture & Sustainable Development Solutions Network (SDSN) , Montpellier/Paris, France.
FABLE (2021). Environmental and agricultural impacts of dietary shifts at global and national scales. FABLE Policy Brief. Alliance of Bioversity International and the International Center for Tropical Agriculture & Sustainable Development Solutions Network (SDSN) , Montpellier/Paris, France.
FABLE (2020). Pathways to Sustainable Land-Use and Food Systems. 2020 Report of the FABLE Consortium. International Institute for Applied Systems Analysis (IIASA) and Sustainable Development Solutions Network (SDSN) , Laxenburg and Paris. 10.22022/ESM/12-2020.16896.
FABLE (2019). Pathways to Sustainable Land-Use and Food Systems. International Institute for Applied Systems Analysis (IIASA) and the Sustainable Development Solutions Network (SDSN) , Laxenburg and Paris.