Lab programmes, by discipline.

Rölfer, L., Winter, G., Máñez Costa, M., & Celliers, L. (2020). Earth observation and coastal climate services for small islands. Climate Services, 18, 100168. https://doi.org/10.1016/j.cliser.2020.100168

Rölfer, Lena, Gundula Winter, María Máñez Costa, and Louis Celliers. 2020. “Earth observation and coastal climate services for small islands.” Climate Services 18: 100168. https://doi.org/10.1016/j.cliser.2020.100168.

@article{rolfer2020earth, author  = {Rölfer, Lena and Winter, Gundula and Máñez Costa, María and Celliers, Louis}, title   = {{Earth observation and coastal climate services for small islands}}, journal = {Climate Services}, year    = {2020}, volume  = {18}, pages   = {100168}, doi     = {10.1016/j.cliser.2020.100168}, url     = {https://doi.org/10.1016/j.cliser.2020.100168}, note    = {Licence: http://creativecommons.org/licenses/by-nc-nd/4.0/} }

TY  - JOUR AU  - Rölfer, Lena AU  - Winter, Gundula AU  - Máñez Costa, María AU  - Celliers, Louis TI  - Earth observation and coastal climate services for small islands JO  - Climate Services PY  - 2020 VL  - 18 SP  - 100168 DO  - 10.1016/j.cliser.2020.100168 UR  - https://doi.org/10.1016/j.cliser.2020.100168 N1  - Licence: http://creativecommons.org/licenses/by-nc-nd/4.0/ L1  - https://doi.org/10.1016/j.cliser.2020.100168 ER  - 

Miao, Z., Li, C., Su, T., & Wu, Y. (2026). Global assessment of climate-driven lag and cumulative effects on vegetation using Earth Observation data and multivariable machine learning models. International Journal of Applied Earth Observation and Geoinformation, 152, 105403. https://doi.org/10.1016/j.jag.2026.105403

Miao, Zhuqing, Cheng Li, Tao Su, and Yongping Wu. 2026. “Global assessment of climate-driven lag and cumulative effects on vegetation using Earth Observation data and multivariable machine learning models.” International Journal of Applied Earth Observation and Geoinformation 152: 105403. https://doi.org/10.1016/j.jag.2026.105403.

@article{miao2026global, author  = {Miao, Zhuqing and Li, Cheng and Su, Tao and Wu, Yongping}, title   = {{Global assessment of climate-driven lag and cumulative effects on vegetation using Earth Observation data and multivariable machine learning models}}, journal = {International Journal of Applied Earth Observation and Geoinformation}, year    = {2026}, volume  = {152}, pages   = {105403}, doi     = {10.1016/j.jag.2026.105403}, url     = {https://doi.org/10.1016/j.jag.2026.105403}, note    = {Licence: http://creativecommons.org/licenses/by/4.0/} }

TY  - JOUR AU  - Miao, Zhuqing AU  - Li, Cheng AU  - Su, Tao AU  - Wu, Yongping TI  - Global assessment of climate-driven lag and cumulative effects on vegetation using Earth Observation data and multivariable machine learning models JO  - International Journal of Applied Earth Observation and Geoinformation PY  - 2026 VL  - 152 SP  - 105403 DO  - 10.1016/j.jag.2026.105403 UR  - https://doi.org/10.1016/j.jag.2026.105403 N1  - Licence: http://creativecommons.org/licenses/by/4.0/ L1  - https://doi.org/10.1016/j.jag.2026.105403 ER  - 

Lucas, A. (2021). Risking the earth Part 1: Reassessing dangerous anthropogenic interference and climate risk in IPCC processes. Climate Risk Management, 31, 100257. https://doi.org/10.1016/j.crm.2020.100257

Lucas, Adam. 2021. “Risking the earth Part 1: Reassessing dangerous anthropogenic interference and climate risk in IPCC processes.” Climate Risk Management 31: 100257. https://doi.org/10.1016/j.crm.2020.100257.

@article{lucas2021risking, author  = {Lucas, Adam}, title   = {{Risking the earth Part 1: Reassessing dangerous anthropogenic interference and climate risk in IPCC processes}}, journal = {Climate Risk Management}, year    = {2021}, volume  = {31}, pages   = {100257}, doi     = {10.1016/j.crm.2020.100257}, url     = {https://doi.org/10.1016/j.crm.2020.100257}, note    = {Licence: http://creativecommons.org/licenses/by-nc-nd/4.0/} }

TY  - JOUR AU  - Lucas, Adam TI  - Risking the earth Part 1: Reassessing dangerous anthropogenic interference and climate risk in IPCC processes JO  - Climate Risk Management PY  - 2021 VL  - 31 SP  - 100257 DO  - 10.1016/j.crm.2020.100257 UR  - https://doi.org/10.1016/j.crm.2020.100257 N1  - Licence: http://creativecommons.org/licenses/by-nc-nd/4.0/ L1  - https://doi.org/10.1016/j.crm.2020.100257 ER  - 

Kardkasem, R., & Carney, M. (2024). Modeling Multiday Extreme Precipitation Across Eastern Australia: A Dynamical Perspective (Version v1) [Preprint]. arXiv. https://doi.org/10.48550/arxiv.2403.10139

Kardkasem, Ruethaichanok, and Meagan Carney. 2024. Modeling Multiday Extreme Precipitation Across Eastern Australia: A Dynamical Perspective. Version v1. Preprint. arXiv. https://doi.org/10.48550/arxiv.2403.10139.

@misc{kardkasem2024modeling, author        = {Kardkasem, Ruethaichanok and Carney, Meagan}, title         = {{Modeling Multiday Extreme Precipitation Across Eastern Australia: A Dynamical Perspective}}, publisher     = {arXiv}, year          = {2024}, version       = {v1}, eprint        = {2403.10139}, archiveprefix = {arXiv}, howpublished  = {Preprint}, doi           = {10.48550/arxiv.2403.10139}, url           = {https://doi.org/10.48550/arxiv.2403.10139} }

TY  - UNPB AU  - Kardkasem, Ruethaichanok AU  - Carney, Meagan TI  - Modeling Multiday Extreme Precipitation Across Eastern Australia: A Dynamical Perspective PY  - 2024 ET  - v1 PB  - arXiv DO  - 10.48550/arxiv.2403.10139 UR  - https://doi.org/10.48550/arxiv.2403.10139 L1  - https://arxiv.org/abs/2403.10139 ER  - 

Healy, D., Tawn, J. A., Thorne, P., & Parnell, A. (2024). Spatio-temporal analysis of extreme winter temperatures in Ireland (Version v2) [Preprint]. arXiv. https://doi.org/10.48550/arxiv.2412.10796

Healy, Dáire, Jonathan A. Tawn, Peter Thorne, and Andrew Parnell. 2024. Spatio-temporal analysis of extreme winter temperatures in Ireland. Version v2. Preprint. arXiv. https://doi.org/10.48550/arxiv.2412.10796.

@misc{healy2024spatio, author        = {Healy, Dáire and Tawn, Jonathan A. and Thorne, Peter and Parnell, Andrew}, title         = {{Spatio-temporal analysis of extreme winter temperatures in Ireland}}, publisher     = {arXiv}, year          = {2024}, version       = {v2}, eprint        = {2412.10796}, archiveprefix = {arXiv}, howpublished  = {Preprint}, doi           = {10.48550/arxiv.2412.10796}, url           = {https://doi.org/10.48550/arxiv.2412.10796} }

TY  - UNPB AU  - Healy, Dáire AU  - Tawn, Jonathan A. AU  - Thorne, Peter AU  - Parnell, Andrew TI  - Spatio-temporal analysis of extreme winter temperatures in Ireland PY  - 2024 ET  - v2 PB  - arXiv DO  - 10.48550/arxiv.2412.10796 UR  - https://doi.org/10.48550/arxiv.2412.10796 L1  - https://arxiv.org/abs/2412.10796 ER  - 

Glantz, M. H., & Ramírez, I. J. (2025). Enhancing Societal Value of Early Warning Early Action and Anticipatory Action Frameworks Using NOAA’s Oceanic Niño Index. International Journal of Disaster Risk Science, 16(2), 171–181. https://doi.org/10.1007/s13753-025-00625-6

Glantz, Michael H., and Ivan J. Ramírez. 2025. “Enhancing Societal Value of Early Warning Early Action and Anticipatory Action Frameworks Using NOAA’s Oceanic Niño Index.” International Journal of Disaster Risk Science 16 (2): 171–181. https://doi.org/10.1007/s13753-025-00625-6.

@article{glantz2025enhancing, author  = {Glantz, Michael H. and Ramírez, Ivan J.}, title   = {{Enhancing Societal Value of Early Warning Early Action and Anticipatory Action Frameworks Using NOAA’s Oceanic Niño Index}}, journal = {International Journal of Disaster Risk Science}, year    = {2025}, volume  = {16}, number  = {2}, pages   = {171--181}, doi     = {10.1007/s13753-025-00625-6}, url     = {https://doi.org/10.1007/s13753-025-00625-6}, note    = {Licence: https://creativecommons.org/licenses/by/4.0} }

TY  - JOUR AU  - Glantz, Michael H. AU  - Ramírez, Ivan J. TI  - Enhancing Societal Value of Early Warning Early Action and Anticipatory Action Frameworks Using NOAA’s Oceanic Niño Index JO  - International Journal of Disaster Risk Science PY  - 2025 VL  - 16 IS  - 2 SP  - 171 EP  - 181 DO  - 10.1007/s13753-025-00625-6 UR  - https://doi.org/10.1007/s13753-025-00625-6 N1  - Licence: https://creativecommons.org/licenses/by/4.0 L1  - https://doi.org/10.1007/s13753-025-00625-6 ER  - 

Gumiran, B. A., & Daag, A. (2021). Negotiated participatory action research for multi-stakeholder implementation of early warning systems for landslides. International Journal of Disaster Risk Reduction, 58, 102184. https://doi.org/10.1016/j.ijdrr.2021.102184

Gumiran, Brian Anthony, and Arturo Daag. 2021. “Negotiated participatory action research for multi-stakeholder implementation of early warning systems for landslides.” International Journal of Disaster Risk Reduction 58: 102184. https://doi.org/10.1016/j.ijdrr.2021.102184.

@article{gumiran2021negotiated, author  = {Gumiran, Brian Anthony and Daag, Arturo}, title   = {{Negotiated participatory action research for multi-stakeholder implementation of early warning systems for landslides}}, journal = {International Journal of Disaster Risk Reduction}, year    = {2021}, volume  = {58}, pages   = {102184}, doi     = {10.1016/j.ijdrr.2021.102184}, url     = {https://doi.org/10.1016/j.ijdrr.2021.102184}, note    = {Licence: http://creativecommons.org/licenses/by/4.0/} }

TY  - JOUR AU  - Gumiran, Brian Anthony AU  - Daag, Arturo TI  - Negotiated participatory action research for multi-stakeholder implementation of early warning systems for landslides JO  - International Journal of Disaster Risk Reduction PY  - 2021 VL  - 58 SP  - 102184 DO  - 10.1016/j.ijdrr.2021.102184 UR  - https://doi.org/10.1016/j.ijdrr.2021.102184 N1  - Licence: http://creativecommons.org/licenses/by/4.0/ L1  - https://doi.org/10.1016/j.ijdrr.2021.102184 ER  - 

Eze, E., Sabela-Rikhotso, P. T. Z., & Siegmund, A. (2026). Associations Between Early Warning Message Completeness, Reception Mode, and Protective Action Across Four At-Risk Communities in Ethiopia and South Africa. International Journal of Disaster Risk Science. https://doi.org/10.1007/s13753-026-00774-2

Eze, Emmanuel, Phindile Tiyiselani Zanele Sabela-Rikhotso, and Alexander Siegmund. 2026. “Associations Between Early Warning Message Completeness, Reception Mode, and Protective Action Across Four At-Risk Communities in Ethiopia and South Africa.” International Journal of Disaster Risk Science. https://doi.org/10.1007/s13753-026-00774-2.

@article{eze2026associations, author  = {Eze, Emmanuel and Sabela-Rikhotso, Phindile Tiyiselani Zanele and Siegmund, Alexander}, title   = {{Associations Between Early Warning Message Completeness, Reception Mode, and Protective Action Across Four At-Risk Communities in Ethiopia and South Africa}}, journal = {International Journal of Disaster Risk Science}, year    = {2026}, doi     = {10.1007/s13753-026-00774-2}, url     = {https://doi.org/10.1007/s13753-026-00774-2}, note    = {Licence: https://creativecommons.org/licenses/by/4.0} }

TY  - JOUR AU  - Eze, Emmanuel AU  - Sabela-Rikhotso, Phindile Tiyiselani Zanele AU  - Siegmund, Alexander TI  - Associations Between Early Warning Message Completeness, Reception Mode, and Protective Action Across Four At-Risk Communities in Ethiopia and South Africa JO  - International Journal of Disaster Risk Science PY  - 2026 DO  - 10.1007/s13753-026-00774-2 UR  - https://doi.org/10.1007/s13753-026-00774-2 N1  - Licence: https://creativecommons.org/licenses/by/4.0 L1  - https://doi.org/10.1007/s13753-026-00774-2 ER  - 

Ben-Haim, Z., Anisimov, V., Yonas, A., Gulshan, V., Shafi, Y., Hoyer, S., & Nevo, S. (2019). Inundation Modeling in Data Scarce Regions (Version v2) [Preprint]. arXiv. https://doi.org/10.48550/arxiv.1910.05006

Ben-Haim, Zvika, Vladimir Anisimov, Aaron Yonas, Varun Gulshan, Yusef Shafi, Stephan Hoyer, and Sella Nevo. 2019. Inundation Modeling in Data Scarce Regions. Version v2. Preprint. arXiv. https://doi.org/10.48550/arxiv.1910.05006.

@misc{benhaim2019inundation, author        = {Ben-Haim, Zvika and Anisimov, Vladimir and Yonas, Aaron and Gulshan, Varun and Shafi, Yusef and Hoyer, Stephan and Nevo, Sella}, title         = {{Inundation Modeling in Data Scarce Regions}}, publisher     = {arXiv}, year          = {2019}, version       = {v2}, eprint        = {1910.05006}, archiveprefix = {arXiv}, howpublished  = {Preprint}, doi           = {10.48550/arxiv.1910.05006}, url           = {https://doi.org/10.48550/arxiv.1910.05006} }

TY  - UNPB AU  - Ben-Haim, Zvika AU  - Anisimov, Vladimir AU  - Yonas, Aaron AU  - Gulshan, Varun AU  - Shafi, Yusef AU  - Hoyer, Stephan AU  - Nevo, Sella TI  - Inundation Modeling in Data Scarce Regions PY  - 2019 ET  - v2 PB  - arXiv DO  - 10.48550/arxiv.1910.05006 UR  - https://doi.org/10.48550/arxiv.1910.05006 L1  - https://arxiv.org/abs/1910.05006 ER  - 

Pan, X., Mohammadi, N., & Taylor, J. E. (2024). Short-term Streamflow and Flood Forecasting based on Graph Convolutional Recurrent Neural Network and Residual Error Learning (Version v1) [Preprint]. arXiv. https://doi.org/10.48550/arxiv.2412.04764

Pan, Xiyu, Neda Mohammadi, and John E. Taylor. 2024. Short-term Streamflow and Flood Forecasting based on Graph Convolutional Recurrent Neural Network and Residual Error Learning. Version v1. Preprint. arXiv. https://doi.org/10.48550/arxiv.2412.04764.

@misc{pan2024short, author        = {Pan, Xiyu and Mohammadi, Neda and Taylor, John E.}, title         = {{Short-term Streamflow and Flood Forecasting based on Graph Convolutional Recurrent Neural Network and Residual Error Learning}}, publisher     = {arXiv}, year          = {2024}, version       = {v1}, eprint        = {2412.04764}, archiveprefix = {arXiv}, howpublished  = {Preprint}, doi           = {10.48550/arxiv.2412.04764}, url           = {https://doi.org/10.48550/arxiv.2412.04764} }

TY  - UNPB AU  - Pan, Xiyu AU  - Mohammadi, Neda AU  - Taylor, John E. TI  - Short-term Streamflow and Flood Forecasting based on Graph Convolutional Recurrent Neural Network and Residual Error Learning PY  - 2024 ET  - v1 PB  - arXiv DO  - 10.48550/arxiv.2412.04764 UR  - https://doi.org/10.48550/arxiv.2412.04764 L1  - https://arxiv.org/abs/2412.04764 ER  - 

Shamsi, N., & Helmrich, A. (2025). Interdependency classification: a framework for infrastructure resilience. Environmental Research: Infrastructure and Sustainability, 5(1), 015009. https://doi.org/10.1088/2634-4505/adac89

Shamsi, Negin, and Alysha Helmrich. 2025. “Interdependency classification: a framework for infrastructure resilience.” Environmental Research: Infrastructure and Sustainability 5 (1): 015009. https://doi.org/10.1088/2634-4505/adac89.

@article{shamsi2025interdependency, author  = {Shamsi, Negin and Helmrich, Alysha}, title   = {{Interdependency classification: a framework for infrastructure resilience}}, journal = {Environmental Research: Infrastructure and Sustainability}, year    = {2025}, volume  = {5}, number  = {1}, pages   = {015009}, doi     = {10.1088/2634-4505/adac89}, url     = {https://doi.org/10.1088/2634-4505/adac89}, note    = {Licence: https://creativecommons.org/licenses/by/4.0/} }

TY  - JOUR AU  - Shamsi, Negin AU  - Helmrich, Alysha TI  - Interdependency classification: a framework for infrastructure resilience JO  - Environmental Research: Infrastructure and Sustainability PY  - 2025 VL  - 5 IS  - 1 SP  - 015009 DO  - 10.1088/2634-4505/adac89 UR  - https://doi.org/10.1088/2634-4505/adac89 N1  - Licence: https://creativecommons.org/licenses/by/4.0/ L1  - https://doi.org/10.1088/2634-4505/adac89 ER  - 

Ampratwum, G., Osei-Kyei, R., & Tam, V. W. Y. (2026). Modelling of critical resilience strategies to build critical infrastructure resilience using public-private partnership. Sustainable and Resilient Infrastructure, 1–28. https://doi.org/10.1080/23789689.2026.2674356

Ampratwum, Godslove, Robert Osei-Kyei, and Vivian W. Y. Tam. 2026. “Modelling of critical resilience strategies to build critical infrastructure resilience using public-private partnership.” Sustainable and Resilient Infrastructure: 1–28. https://doi.org/10.1080/23789689.2026.2674356.

@article{ampratwum2026modelling, author  = {Ampratwum, Godslove and Osei-Kyei, Robert and Tam, Vivian W. Y.}, title   = {{Modelling of critical resilience strategies to build critical infrastructure resilience using public-private partnership}}, journal = {Sustainable and Resilient Infrastructure}, year    = {2026}, pages   = {1--28}, doi     = {10.1080/23789689.2026.2674356}, url     = {https://doi.org/10.1080/23789689.2026.2674356}, note    = {Licence: http://creativecommons.org/licenses/by/4.0/} }

TY  - JOUR AU  - Ampratwum, Godslove AU  - Osei-Kyei, Robert AU  - Tam, Vivian W. Y. TI  - Modelling of critical resilience strategies to build critical infrastructure resilience using public-private partnership JO  - Sustainable and Resilient Infrastructure PY  - 2026 SP  - 1 EP  - 28 DO  - 10.1080/23789689.2026.2674356 UR  - https://doi.org/10.1080/23789689.2026.2674356 N1  - Licence: http://creativecommons.org/licenses/by/4.0/ L1  - https://doi.org/10.1080/23789689.2026.2674356 ER  - 

Rueda, D. F., & Calle, E. (2017). Using interdependency matrices to mitigate targeted attacks on interdependent networks: A case study involving a power grid and backbone telecommunications networks. International Journal of Critical Infrastructure Protection, 16, 3–12. https://doi.org/10.1016/j.ijcip.2016.11.004

Rueda, Diego F., and Eusebi Calle. 2017. “Using interdependency matrices to mitigate targeted attacks on interdependent networks: A case study involving a power grid and backbone telecommunications networks.” International Journal of Critical Infrastructure Protection 16: 3–12. https://doi.org/10.1016/j.ijcip.2016.11.004.

@article{rueda2017using, author  = {Rueda, Diego F. and Calle, Eusebi}, title   = {{Using interdependency matrices to mitigate targeted attacks on interdependent networks: A case study involving a power grid and backbone telecommunications networks}}, journal = {International Journal of Critical Infrastructure Protection}, year    = {2017}, volume  = {16}, pages   = {3--12}, doi     = {10.1016/j.ijcip.2016.11.004}, url     = {https://doi.org/10.1016/j.ijcip.2016.11.004}, note    = {Licence: http://creativecommons.org/licenses/by-nc-nd/4.0/} }

TY  - JOUR AU  - Rueda, Diego F. AU  - Calle, Eusebi TI  - Using interdependency matrices to mitigate targeted attacks on interdependent networks: A case study involving a power grid and backbone telecommunications networks JO  - International Journal of Critical Infrastructure Protection PY  - 2017 VL  - 16 SP  - 3 EP  - 12 DO  - 10.1016/j.ijcip.2016.11.004 UR  - https://doi.org/10.1016/j.ijcip.2016.11.004 N1  - Licence: http://creativecommons.org/licenses/by-nc-nd/4.0/ L1  - https://doi.org/10.1016/j.ijcip.2016.11.004 ER  - 

Zhu, Q., & Basar, T. (2024). Disentangling Resilience from Robustness: Contextual Dualism, Interactionism, and Game-Theoretic Paradigms (Version v1) [Preprint]. arXiv. https://doi.org/10.48550/arxiv.2403.06299

Zhu, Quanyan, and Tamer Basar. 2024. Disentangling Resilience from Robustness: Contextual Dualism, Interactionism, and Game-Theoretic Paradigms. Version v1. Preprint. arXiv. https://doi.org/10.48550/arxiv.2403.06299.

@misc{zhu2024disentangling, author        = {Zhu, Quanyan and Basar, Tamer}, title         = {{Disentangling Resilience from Robustness: Contextual Dualism, Interactionism, and Game-Theoretic Paradigms}}, publisher     = {arXiv}, year          = {2024}, version       = {v1}, eprint        = {2403.06299}, archiveprefix = {arXiv}, howpublished  = {Preprint}, doi           = {10.48550/arxiv.2403.06299}, url           = {https://doi.org/10.48550/arxiv.2403.06299} }

TY  - UNPB AU  - Zhu, Quanyan AU  - Basar, Tamer TI  - Disentangling Resilience from Robustness: Contextual Dualism, Interactionism, and Game-Theoretic Paradigms PY  - 2024 ET  - v1 PB  - arXiv DO  - 10.48550/arxiv.2403.06299 UR  - https://doi.org/10.48550/arxiv.2403.06299 L1  - https://arxiv.org/abs/2403.06299 ER  - 

Leštáková, M., Logan, K. T., Rehm, I.-S., Pelz, P. F., & Friesen, J. (2023). Do Resilience Metrics of Water Distribution Systems Really Assess Resilience? A Critical Review (Version v1) [Preprint]. arXiv. https://doi.org/10.48550/arxiv.2306.13113

Leštáková, Michaela, Kevin Tiernan Logan, Imke-Sophie Rehm, Peter F. Pelz, and John Friesen. 2023. Do Resilience Metrics of Water Distribution Systems Really Assess Resilience? A Critical Review. Version v1. Preprint. arXiv. https://doi.org/10.48550/arxiv.2306.13113.

@misc{lestakova2023do, author        = {Leštáková, Michaela and Logan, Kevin Tiernan and Rehm, Imke-Sophie and Pelz, Peter F. and Friesen, John}, title         = {{Do Resilience Metrics of Water Distribution Systems Really Assess Resilience? A Critical Review}}, publisher     = {arXiv}, year          = {2023}, version       = {v1}, eprint        = {2306.13113}, archiveprefix = {arXiv}, howpublished  = {Preprint}, doi           = {10.48550/arxiv.2306.13113}, url           = {https://doi.org/10.48550/arxiv.2306.13113} }

TY  - UNPB AU  - Leštáková, Michaela AU  - Logan, Kevin Tiernan AU  - Rehm, Imke-Sophie AU  - Pelz, Peter F. AU  - Friesen, John TI  - Do Resilience Metrics of Water Distribution Systems Really Assess Resilience? A Critical Review PY  - 2023 ET  - v1 PB  - arXiv DO  - 10.48550/arxiv.2306.13113 UR  - https://doi.org/10.48550/arxiv.2306.13113 L1  - https://arxiv.org/abs/2306.13113 ER  - 

Godlove, T., & Buchanan, J. (2026). From Model Risk Management to AI Assurance: Integrating AI Risk Management, Independent Validation, and AI Auditing for Generative and Agentic AI. Transactions on Engineering and Computing Sciences, 14(05), 19–62. https://doi.org/10.14738/tecs.1405.12205

Godlove, Timothy, and John Buchanan. 2026. “From Model Risk Management to AI Assurance: Integrating AI Risk Management, Independent Validation, and AI Auditing for Generative and Agentic AI.” Transactions on Engineering and Computing Sciences 14 (05): 19–62. https://doi.org/10.14738/tecs.1405.12205.

@article{godlove2026from, author  = {Godlove, Timothy and Buchanan, John}, title   = {{From Model Risk Management to AI Assurance: Integrating AI Risk Management, Independent Validation, and AI Auditing for Generative and Agentic AI}}, journal = {Transactions on Engineering and Computing Sciences}, year    = {2026}, volume  = {14}, number  = {05}, pages   = {19--62}, doi     = {10.14738/tecs.1405.12205}, url     = {https://doi.org/10.14738/tecs.1405.12205}, note    = {Licence: https://creativecommons.org/licenses/by/4.0/} }

TY  - JOUR AU  - Godlove, Timothy AU  - Buchanan, John TI  - From Model Risk Management to AI Assurance: Integrating AI Risk Management, Independent Validation, and AI Auditing for Generative and Agentic AI JO  - Transactions on Engineering and Computing Sciences PY  - 2026 VL  - 14 IS  - 05 SP  - 19 EP  - 62 DO  - 10.14738/tecs.1405.12205 UR  - https://doi.org/10.14738/tecs.1405.12205 N1  - Licence: https://creativecommons.org/licenses/by/4.0/ L1  - https://doi.org/10.14738/tecs.1405.12205 ER  - 

Sharma, A. (2026). Proxy-Based Evaluation and the Limits of Assurance in AI Governance. ACM AI Letters, 1(3), 1–8. https://doi.org/10.1145/3828672

Sharma, Aman. 2026. “Proxy-Based Evaluation and the Limits of Assurance in AI Governance.” ACM AI Letters 1 (3): 1–8. https://doi.org/10.1145/3828672.

@article{sharma2026proxy, author  = {Sharma, Aman}, title   = {{Proxy-Based Evaluation and the Limits of Assurance in AI Governance}}, journal = {ACM AI Letters}, year    = {2026}, volume  = {1}, number  = {3}, pages   = {1--8}, doi     = {10.1145/3828672}, url     = {https://doi.org/10.1145/3828672}, note    = {Licence: https://creativecommons.org/licenses/by/4.0/legalcode} }

TY  - JOUR AU  - Sharma, Aman TI  - Proxy-Based Evaluation and the Limits of Assurance in AI Governance JO  - ACM AI Letters PY  - 2026 VL  - 1 IS  - 3 SP  - 1 EP  - 8 DO  - 10.1145/3828672 UR  - https://doi.org/10.1145/3828672 N1  - Licence: https://creativecommons.org/licenses/by/4.0/legalcode L1  - https://doi.org/10.1145/3828672 ER  - 

Muhammad, A. E., & Yow, K.-C. (2026). Risk-Based AI Assurance Framework. Information, 17(3), 263. https://doi.org/10.3390/info17030263

Muhammad, Aoun E., and Kin-Choong Yow. 2026. “Risk-Based AI Assurance Framework.” Information 17 (3): 263. https://doi.org/10.3390/info17030263.

@article{muhammad2026risk, author  = {Muhammad, Aoun E. and Yow, Kin-Choong}, title   = {{Risk-Based AI Assurance Framework}}, journal = {Information}, year    = {2026}, volume  = {17}, number  = {3}, pages   = {263}, doi     = {10.3390/info17030263}, url     = {https://doi.org/10.3390/info17030263}, note    = {Licence: https://creativecommons.org/licenses/by/4.0/} }

TY  - JOUR AU  - Muhammad, Aoun E. AU  - Yow, Kin-Choong TI  - Risk-Based AI Assurance Framework JO  - Information PY  - 2026 VL  - 17 IS  - 3 SP  - 263 DO  - 10.3390/info17030263 UR  - https://doi.org/10.3390/info17030263 N1  - Licence: https://creativecommons.org/licenses/by/4.0/ L1  - https://doi.org/10.3390/info17030263 ER  - 

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@misc{tan2022risks, author        = {Tan, Samson and Taeihagh, Araz and Baxter, Kathy}, title         = {{The Risks of Machine Learning Systems}}, publisher     = {arXiv}, year          = {2022}, version       = {v1}, eprint        = {2204.09852}, archiveprefix = {arXiv}, howpublished  = {Preprint}, doi           = {10.48550/arxiv.2204.09852}, url           = {https://doi.org/10.48550/arxiv.2204.09852} }

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@misc{winfield2020roboted, author        = {Winfield, Alan F. T. and Winkle, Katie}, title         = {{RoboTed: a case study in Ethical Risk Assessment}}, publisher     = {arXiv}, year          = {2020}, version       = {v2}, eprint        = {2007.15864}, archiveprefix = {arXiv}, howpublished  = {Preprint}, doi           = {10.48550/arxiv.2007.15864}, url           = {https://doi.org/10.48550/arxiv.2007.15864} }

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@article{yousuf2026mental, author  = {Yousuf, Aroub and Bartz, Deborah}, title   = {{A mental health lens on LGBTQ+ climate disaster vulnerability}}, journal = {The Journal of Climate Change and Health}, year    = {2026}, volume  = {32}, pages   = {100748}, doi     = {10.1016/j.joclim.2026.100748}, url     = {https://doi.org/10.1016/j.joclim.2026.100748}, note    = {Licence: http://creativecommons.org/licenses/by/4.0/} }

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Ren, D., Zheng, J., & Newman, G. (2026). A Data-Integrity Audit of Spatial Associations Among Surface Temperature, Health Vulnerability, and Social Vulnerability in Houston, Texas. Climate, 14(10), 219. https://doi.org/10.3390/cli14100219

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@article{pradyumna2022tools, author  = {Pradyumna, Adithya and Sankam, Joshitha}, title   = {{Tools and methods for assessing health vulnerability and adaptation to climate change: A scoping review}}, journal = {The Journal of Climate Change and Health}, year    = {2022}, volume  = {8}, pages   = {100153}, doi     = {10.1016/j.joclim.2022.100153}, url     = {https://doi.org/10.1016/j.joclim.2022.100153}, note    = {Licence: http://creativecommons.org/licenses/by-nc-nd/4.0/} }

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@misc{xu2020coupled, author        = {Xu, Wen-Juan and Zhong, Chen-Yang and Ye, Hui-Fen and Chen, Rong-Da and Qiu, Tian and Ren, Fei and Zhong, Li-Xin}, title         = {{Coupled effects of epidemic information and risk awareness on contagion}}, publisher     = {arXiv}, year          = {2020}, version       = {v2}, eprint        = {2009.05327}, archiveprefix = {arXiv}, howpublished  = {Preprint}, doi           = {10.48550/arxiv.2009.05327}, url           = {https://doi.org/10.48550/arxiv.2009.05327} }

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MA, L., Mieghem, P. V., & Kitsak, M. (2023). Reporting delays: a widely neglected impact factor in COVID-19 forecasts (Version v1) [Preprint]. arXiv. https://doi.org/10.48550/arxiv.2304.11863

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@misc{ma2023reporting, author        = {MA, Long and Mieghem, Piet Van and Kitsak, Maksim}, title         = {{Reporting delays: a widely neglected impact factor in COVID-19 forecasts}}, publisher     = {arXiv}, year          = {2023}, version       = {v1}, eprint        = {2304.11863}, archiveprefix = {arXiv}, howpublished  = {Preprint}, doi           = {10.48550/arxiv.2304.11863}, url           = {https://doi.org/10.48550/arxiv.2304.11863} }

TY  - UNPB AU  - MA, Long AU  - Mieghem, Piet Van AU  - Kitsak, Maksim TI  - Reporting delays: a widely neglected impact factor in COVID-19 forecasts PY  - 2023 ET  - v1 PB  - arXiv DO  - 10.48550/arxiv.2304.11863 UR  - https://doi.org/10.48550/arxiv.2304.11863 L1  - https://arxiv.org/abs/2304.11863 ER  - 

Elliot-Kerr, S., Marshall, E., Penman, T., & Plumanns-Pouton, E. (2025). Future wildfires increase the risk of the residential insurance gap. International Journal of Disaster Risk Reduction, 130, 105814. https://doi.org/10.1016/j.ijdrr.2025.105814

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@article{elliotkerr2025future, author  = {Elliot-Kerr, Shona and Marshall, Erica and Penman, Trent and Plumanns-Pouton, Ella}, title   = {{Future wildfires increase the risk of the residential insurance gap}}, journal = {International Journal of Disaster Risk Reduction}, year    = {2025}, volume  = {130}, pages   = {105814}, doi     = {10.1016/j.ijdrr.2025.105814}, url     = {https://doi.org/10.1016/j.ijdrr.2025.105814}, note    = {Licence: http://creativecommons.org/licenses/by-nc-nd/4.0/} }

TY  - JOUR AU  - Elliot-Kerr, Shona AU  - Marshall, Erica AU  - Penman, Trent AU  - Plumanns-Pouton, Ella TI  - Future wildfires increase the risk of the residential insurance gap JO  - International Journal of Disaster Risk Reduction PY  - 2025 VL  - 130 SP  - 105814 DO  - 10.1016/j.ijdrr.2025.105814 UR  - https://doi.org/10.1016/j.ijdrr.2025.105814 N1  - Licence: http://creativecommons.org/licenses/by-nc-nd/4.0/ L1  - https://doi.org/10.1016/j.ijdrr.2025.105814 ER  - 

Bellia, M., Di Girolamo, E. F., Pagano, A., & Giudici, M. P. (2025). The flood protection gap: Evidence for public finances and insurance premiums. Risk Management and Insurance Review, 28(1), 34–66. https://doi.org/10.1111/rmir.70001

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@article{bellia2025flood, author  = {Bellia, Mario and Di Girolamo, Erica Francesca and Pagano, Andrea and Giudici, Marco Petracco}, title   = {{The flood protection gap: Evidence for public finances and insurance premiums}}, journal = {Risk Management and Insurance Review}, year    = {2025}, volume  = {28}, number  = {1}, pages   = {34--66}, doi     = {10.1111/rmir.70001}, url     = {https://doi.org/10.1111/rmir.70001}, note    = {Licence: http://creativecommons.org/licenses/by/4.0/} }

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Pleterski, N. (2025). Parametric Insurance for Sustainable Disaster Risk Finance: Legal, Data, and Governance Pathways in Slovenia and Croatia. Sustainability, 17(21), 9643. https://doi.org/10.3390/su17219643

Pleterski, Nina. 2025. “Parametric Insurance for Sustainable Disaster Risk Finance: Legal, Data, and Governance Pathways in Slovenia and Croatia.” Sustainability 17 (21): 9643. https://doi.org/10.3390/su17219643.

@article{pleterski2025parametric, author  = {Pleterski, Nina}, title   = {{Parametric Insurance for Sustainable Disaster Risk Finance: Legal, Data, and Governance Pathways in Slovenia and Croatia}}, journal = {Sustainability}, year    = {2025}, volume  = {17}, number  = {21}, pages   = {9643}, doi     = {10.3390/su17219643}, url     = {https://doi.org/10.3390/su17219643}, note    = {Licence: https://creativecommons.org/licenses/by/4.0/} }

TY  - JOUR AU  - Pleterski, Nina TI  - Parametric Insurance for Sustainable Disaster Risk Finance: Legal, Data, and Governance Pathways in Slovenia and Croatia JO  - Sustainability PY  - 2025 VL  - 17 IS  - 21 SP  - 9643 DO  - 10.3390/su17219643 UR  - https://doi.org/10.3390/su17219643 N1  - Licence: https://creativecommons.org/licenses/by/4.0/ L1  - https://doi.org/10.3390/su17219643 ER  - 

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@misc{gaudemet2022stochastic, author        = {Gaudemet, Jean-Baptiste and Deschamps, Jules and Vinciguerra, Olivier}, title         = {{A Stochastic Climate Model -- An approach to calibrate the Climate-Extended Risk Model (CERM)}}, publisher     = {arXiv}, year          = {2022}, version       = {v1}, eprint        = {2205.02581}, archiveprefix = {arXiv}, howpublished  = {Preprint}, doi           = {10.48550/arxiv.2205.02581}, url           = {https://doi.org/10.48550/arxiv.2205.02581} }

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Azzone, M., Bechi, C., & Sbaiz, G. (2026). Temperature Anomalies and Climate Physical Risk in Portfolio Construction (Version v1) [Preprint]. arXiv. https://doi.org/10.48550/arxiv.2604.11143

Azzone, Michele, Carlo Bechi, and Gabriele Sbaiz. 2026. Temperature Anomalies and Climate Physical Risk in Portfolio Construction. Version v1. Preprint. arXiv. https://doi.org/10.48550/arxiv.2604.11143.

@misc{azzone2026temperature, author        = {Azzone, Michele and Bechi, Carlo and Sbaiz, Gabriele}, title         = {{Temperature Anomalies and Climate Physical Risk in Portfolio Construction}}, publisher     = {arXiv}, year          = {2026}, version       = {v1}, eprint        = {2604.11143}, archiveprefix = {arXiv}, howpublished  = {Preprint}, doi           = {10.48550/arxiv.2604.11143}, url           = {https://doi.org/10.48550/arxiv.2604.11143} }

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Hadjisotiriou, S., Marchau, V., Walker, W., & Rikkert, M. O. (2023). Decision making under deep uncertainty for pandemic policy planning. Health Policy, 133, 104831. https://doi.org/10.1016/j.healthpol.2023.104831

Hadjisotiriou, Sophie, Vincent Marchau, Warren Walker, and Marcel Olde Rikkert. 2023. “Decision making under deep uncertainty for pandemic policy planning.” Health Policy 133: 104831. https://doi.org/10.1016/j.healthpol.2023.104831.

@article{hadjisotiriou2023decision, author  = {Hadjisotiriou, Sophie and Marchau, Vincent and Walker, Warren and Rikkert, Marcel Olde}, title   = {{Decision making under deep uncertainty for pandemic policy planning}}, journal = {Health Policy}, year    = {2023}, volume  = {133}, pages   = {104831}, doi     = {10.1016/j.healthpol.2023.104831}, url     = {https://doi.org/10.1016/j.healthpol.2023.104831}, note    = {Licence: http://creativecommons.org/licenses/by/4.0/} }

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@misc{aymanns2015taming, author        = {Aymanns, Christoph and Caccioli, Fabio and Farmer, J. Doyne and Tan, Vincent W. C.}, title         = {{Taming the Basel Leverage Cycle}}, publisher     = {arXiv}, year          = {2015}, version       = {v1}, eprint        = {1507.04136}, archiveprefix = {arXiv}, howpublished  = {Preprint}, doi           = {10.48550/arxiv.1507.04136}, url           = {https://doi.org/10.48550/arxiv.1507.04136} }

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Zhang, C., Shi, P., & Ward, A. (2026). The Dynamic and Endogenous Behavior of Re-Offense Risk: An Agent-Based Simulation Study of Treatment Allocation in Incarceration Diversion Programs (Version v2) [Preprint]. arXiv. https://doi.org/10.48550/arxiv.2601.12441

Zhang, Chuwen, Pengyi Shi, and Amy Ward. 2026. The Dynamic and Endogenous Behavior of Re-Offense Risk: An Agent-Based Simulation Study of Treatment Allocation in Incarceration Diversion Programs. Version v2. Preprint. arXiv. https://doi.org/10.48550/arxiv.2601.12441.

@misc{zhang2026dynamic, author        = {Zhang, Chuwen and Shi, Pengyi and Ward, Amy}, title         = {{The Dynamic and Endogenous Behavior of Re-Offense Risk: An Agent-Based Simulation Study of Treatment Allocation in Incarceration Diversion Programs}}, publisher     = {arXiv}, year          = {2026}, version       = {v2}, eprint        = {2601.12441}, archiveprefix = {arXiv}, howpublished  = {Preprint}, doi           = {10.48550/arxiv.2601.12441}, url           = {https://doi.org/10.48550/arxiv.2601.12441} }

TY  - UNPB AU  - Zhang, Chuwen AU  - Shi, Pengyi AU  - Ward, Amy TI  - The Dynamic and Endogenous Behavior of Re-Offense Risk: An Agent-Based Simulation Study of Treatment Allocation in Incarceration Diversion Programs PY  - 2026 ET  - v2 PB  - arXiv DO  - 10.48550/arxiv.2601.12441 UR  - https://doi.org/10.48550/arxiv.2601.12441 L1  - https://arxiv.org/abs/2601.12441 ER  - 

Rambauli, M., Ravele, T., & Sigauke, C. (2026). Application of Explainable AI and Uncertainty Quantification in Credit Risk Assessment. Risks, 14(7), 152. https://doi.org/10.3390/risks14070152

Rambauli, Mulavhelesi, Thakhani Ravele, and Caston Sigauke. 2026. “Application of Explainable AI and Uncertainty Quantification in Credit Risk Assessment.” Risks 14 (7): 152. https://doi.org/10.3390/risks14070152.

@article{rambauli2026application, author  = {Rambauli, Mulavhelesi and Ravele, Thakhani and Sigauke, Caston}, title   = {{Application of Explainable AI and Uncertainty Quantification in Credit Risk Assessment}}, journal = {Risks}, year    = {2026}, volume  = {14}, number  = {7}, pages   = {152}, doi     = {10.3390/risks14070152}, url     = {https://doi.org/10.3390/risks14070152}, note    = {Licence: https://creativecommons.org/licenses/by/4.0/} }

TY  - JOUR AU  - Rambauli, Mulavhelesi AU  - Ravele, Thakhani AU  - Sigauke, Caston TI  - Application of Explainable AI and Uncertainty Quantification in Credit Risk Assessment JO  - Risks PY  - 2026 VL  - 14 IS  - 7 SP  - 152 DO  - 10.3390/risks14070152 UR  - https://doi.org/10.3390/risks14070152 N1  - Licence: https://creativecommons.org/licenses/by/4.0/ L1  - https://doi.org/10.3390/risks14070152 ER  - 

Yildiz, A., Zhao, H., & Kowalski, J. (2023). Computationally-feasible uncertainty quantification in model-based landslide risk assessment. Frontiers in Earth Science, 10, Article 1032438. https://doi.org/10.3389/feart.2022.1032438

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@article{yildiz2023computationally, author  = {Yildiz, Anil and Zhao, Hu and Kowalski, Julia}, title   = {{Computationally-feasible uncertainty quantification in model-based landslide risk assessment}}, journal = {Frontiers in Earth Science}, year    = {2023}, volume  = {10}, doi     = {10.3389/feart.2022.1032438}, url     = {https://doi.org/10.3389/feart.2022.1032438}, note    = {Licence: https://creativecommons.org/licenses/by/4.0/} }

TY  - JOUR AU  - Yildiz, Anil AU  - Zhao, Hu AU  - Kowalski, Julia TI  - Computationally-feasible uncertainty quantification in model-based landslide risk assessment JO  - Frontiers in Earth Science PY  - 2023 VL  - 10 DO  - 10.3389/feart.2022.1032438 UR  - https://doi.org/10.3389/feart.2022.1032438 N1  - Licence: https://creativecommons.org/licenses/by/4.0/ L1  - https://doi.org/10.3389/feart.2022.1032438 ER  - 

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@article{muniruzzaman2020mechanistic, author  = {Muniruzzaman, Muhammad and Pedretti, Daniele}, title   = {{Mechanistic models supporting uncertainty quantification of water quality predictions in heterogeneous mining waste rocks: a review}}, journal = {Stochastic Environmental Research and Risk Assessment}, year    = {2020}, volume  = {35}, number  = {5}, pages   = {985--1001}, doi     = {10.1007/s00477-020-01884-z}, url     = {https://doi.org/10.1007/s00477-020-01884-z}, note    = {Licence: https://creativecommons.org/licenses/by/4.0} }

TY  - JOUR AU  - Muniruzzaman, Muhammad AU  - Pedretti, Daniele TI  - Mechanistic models supporting uncertainty quantification of water quality predictions in heterogeneous mining waste rocks: a review JO  - Stochastic Environmental Research and Risk Assessment PY  - 2020 VL  - 35 IS  - 5 SP  - 985 EP  - 1001 DO  - 10.1007/s00477-020-01884-z UR  - https://doi.org/10.1007/s00477-020-01884-z N1  - Licence: https://creativecommons.org/licenses/by/4.0 L1  - https://doi.org/10.1007/s00477-020-01884-z ER  - 

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@misc{ji2021modeling, author        = {Ji, Jingyu and Li, Deyuan and Zhang, Zhengjun}, title         = {{Modeling and Decoupling Systemic Risk}}, publisher     = {arXiv}, year          = {2021}, version       = {v2}, eprint        = {2107.10148}, archiveprefix = {arXiv}, howpublished  = {Preprint}, doi           = {10.48550/arxiv.2107.10148}, url           = {https://doi.org/10.48550/arxiv.2107.10148} }

TY  - UNPB AU  - Ji, Jingyu AU  - Li, Deyuan AU  - Zhang, Zhengjun TI  - Modeling and Decoupling Systemic Risk PY  - 2021 ET  - v2 PB  - arXiv DO  - 10.48550/arxiv.2107.10148 UR  - https://doi.org/10.48550/arxiv.2107.10148 L1  - https://arxiv.org/abs/2107.10148 ER  - 

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@misc{stern2015improving, author        = {Stern, Ralph H. and Smith, Dean E. and Gurm, Hitinder S.}, title         = {{Improving the Presentation and Understanding of Risk Models}}, publisher     = {arXiv}, year          = {2015}, version       = {v1}, eprint        = {1504.05138}, archiveprefix = {arXiv}, howpublished  = {Preprint}, doi           = {10.48550/arxiv.1504.05138}, url           = {https://doi.org/10.48550/arxiv.1504.05138} }

TY  - UNPB AU  - Stern, Ralph H. AU  - Smith, Dean E. AU  - Gurm, Hitinder S. TI  - Improving the Presentation and Understanding of Risk Models PY  - 2015 ET  - v1 PB  - arXiv DO  - 10.48550/arxiv.1504.05138 UR  - https://doi.org/10.48550/arxiv.1504.05138 L1  - https://arxiv.org/abs/1504.05138 ER  - 

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TY  - JOUR AU  - Huang, Xuqing AU  - Vodenska, Irena AU  - Havlin, Shlomo AU  - Stanley, H. Eugene TI  - Cascading Failures in Bi-partite Graphs: Model for Systemic Risk Propagation JO  - Scientific Reports PY  - 2013 VL  - 3 IS  - 1 DO  - 10.1038/srep01219 UR  - https://doi.org/10.1038/srep01219 N1  - Licence: https://creativecommons.org/licenses/by-nc-nd/3.0/ L1  - https://doi.org/10.1038/srep01219 ER  - 

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@article{kita2026nation, author  = {Kita, Stern Mwakalimi and Sparkes, Edward and Cotti, Davide and Hagenlocher, Michael}, title   = {{A Nation of Disasters: Lessons on Systemic Risks and Cascading Impacts From Malawi's COVID‐19 Experience}}, journal = {Risk Analysis}, year    = {2026}, volume  = {46}, number  = {4}, doi     = {10.1111/risa.70229}, url     = {https://doi.org/10.1111/risa.70229}, note    = {Licence: http://creativecommons.org/licenses/by-nc-nd/4.0/} }

TY  - JOUR AU  - Kita, Stern Mwakalimi AU  - Sparkes, Edward AU  - Cotti, Davide AU  - Hagenlocher, Michael TI  - A Nation of Disasters: Lessons on Systemic Risks and Cascading Impacts From Malawi's COVID‐19 Experience JO  - Risk Analysis PY  - 2026 VL  - 46 IS  - 4 DO  - 10.1111/risa.70229 UR  - https://doi.org/10.1111/risa.70229 N1  - Licence: http://creativecommons.org/licenses/by-nc-nd/4.0/ L1  - https://doi.org/10.1111/risa.70229 ER  - 

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@misc{zhong2022predicting, author        = {Zhong, Chongxin and Xing, Yanmeng and Fan, Ying and Zeng, An}, title         = {{Predicting the cascading dynamics in complex networks via the bimodal failure size distribution}}, publisher     = {arXiv}, year          = {2022}, version       = {v1}, eprint        = {2208.06726}, archiveprefix = {arXiv}, howpublished  = {Preprint}, doi           = {10.48550/arxiv.2208.06726}, url           = {https://doi.org/10.48550/arxiv.2208.06726} }

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@misc{cheng2014can, author        = {Cheng, Justin and Adamic, Lada A. and Dow, P. Alex and Kleinberg, Jon and Leskovec, Jure}, title         = {{Can Cascades be Predicted?}}, publisher     = {arXiv}, year          = {2014}, version       = {v1}, eprint        = {1403.4608}, archiveprefix = {arXiv}, howpublished  = {Preprint}, doi           = {10.48550/arxiv.1403.4608}, url           = {https://doi.org/10.48550/arxiv.1403.4608} }

TY  - UNPB AU  - Cheng, Justin AU  - Adamic, Lada A. AU  - Dow, P. Alex AU  - Kleinberg, Jon AU  - Leskovec, Jure TI  - Can Cascades be Predicted? PY  - 2014 ET  - v1 PB  - arXiv DO  - 10.48550/arxiv.1403.4608 UR  - https://doi.org/10.48550/arxiv.1403.4608 L1  - https://arxiv.org/abs/1403.4608 ER  -