Dr. D. (Debraj) Roy
Faculty of Science
Informatics Institute
Visiting address
- Science Park 900
- Room number: L6.18
Postal address
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Postbus 94323
1090 GH Amsterdam
Contact details
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Publications
2025
- Mengesha, I., & Roy, D. (2025). Carbon pricing drives critical transition to green growth. Nature Communications, 16(1), 1321. https://www.nature.com/articles/s41467-025-56540-3
2024
Bazyleva, V., Garibay, V. M., & Roy, D. (2024). Trajectory-based global sensitivity analysis in multiscale models. Scientific Reports, 14, Article 13902. https://doi.org/10.1038/s41598-024-64331-x [details]- Kuusela, O., & Roy, D. (2024). Higher Order Reasoning under Intent Uncertainty Reinforces the Hobbesian Trap. In N. Alechina, V. Dignum, M. Dastani, & J. S. Sichman (Eds.), AAMAS '24: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems : May 6-10, 2024, Auckland, New Zealand (pp. 1066–1074). International Foundation for Autonomous Agents and Multiagent Systems. https://dl.acm.org/doi/10.5555/3635637.3662962
2023
- Bazyleva, V., Garibay, V. M., & Roy, D. (2023). Global Sensitivity Analysis Using Polynomial Chaos Expansion on the Grassmann Manifold. In J. Mikyška, C. de Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2023: 23rd International Conference, Prague, Czech Republic, July 3–5, 2023 : proceedings (Vol. V, pp. 583-597). (Lecture Notes in Computer Science; Vol. 10477). Springer. https://doi.org/10.1007/978-3-031-36030-5_46 [details]
- Dupont, C., & Roy, D. (2023). Manifold Analysis for High-Dimensional Socio-Environmental Surveys. In J. Mikyška, C. de Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2023: 23rd International Conference, Prague, Czech Republic, July 3–5, 2023 : proceedings (Vol. IV, pp. 25-39). (Lecture Notes in Computer Science; Vol. 10476). Springer. https://doi.org/10.1007/978-3-031-36027-5_3 [details]
- Fuertes Blanco, A., Shi, Z., Roy, D., & Zhao, Z. (2023). Improving the Resiliency of Decentralized Crowdsourced Blockchain Oracles. In J. Mikyška, C. de Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2023: 23rd International Conference, Prague, Czech Republic, July 3–5, 2023 : proceedings (Vol. I, pp. 3-17). (Lecture Notes in Computer Science; Vol. 14073). Springer. https://doi.org/10.1007/978-3-031-35995-8_1 [details]
- Mutlu, A., Roy, D., & Filatova, T. (2023). Capitalized value of evolving flood risks discount and nature-based solution premiums on property prices. Ecological Economics, 205, Article 107682. https://doi.org/10.1016/j.ecolecon.2022.107682 [details]
- Nottrot, B., Folmer, E., Roy, D., Scheer, B., & Merx, P. (2023). Multi-unit building address geocoding: An approach without indoor location reference data. Transactions in GIS, 27(1), 57-83. https://doi.org/10.1111/tgis.13017 [details]
2021
- Ghaffarian, S., Roy, D., Filatova, T., & Kerle, N. (2021). Agent-based modelling of post-disaster recovery with remote sensing data. International Journal of Disaster Risk Reduction, Article 102285. https://doi.org/10.1016/j.ijdrr.2021.102285 [details]
2020
- Roy, D., & Lees, M. (2020). Understanding resilience in slums using an agent-based model. Computers, Environment and Urban Systems, 80, Article 101458. https://doi.org/10.1016/j.compenvurbsys.2019.101458 [details]
- Roy, D., Bernal, D., & Lees, M. (2020). An exploratory factor analysis model for slum severity index in Mexico City. Urban Studies, 57(4), 789-805. Advance online publication. https://doi.org/10.1177/0042098019869769 [details]
- Taberna, A., Filatova, T., Roy, D., & Noll, B. (2020). Tracing resilience, social dynamics and behavioral change: a review of agent-based flood risk models. Socio-Environmental Systems Modelling, 2, Article 17938. https://doi.org/10.18174/sesmo.2020a17938 [details]
2019
- Ranguelova, E., Weel, B., Roy, D., Kuffer, M., Pfeffer, K., & Lees, M. (2019). Image Based Classification of Slums, Built-Up and Non-Built-Up Areas in Kalyan and Bangalore, India. European Journal of Remote Sensing, 52(S1), 40-61. Advance online publication. https://doi.org/10.1080/22797254.2018.1535838 [details]
- Vermeulen, W. R. J., Roy, D., & Quax, R. (2019). Modelling the Influence of Regional Identity on Human Migration. Urban Science, 3(3), Article 78. Advance online publication. https://doi.org/10.3390/urbansci3030078 [details]
- Wang, J., Kuffer, M., Roy, D., & Pfeffer, K. (2019). Deprivation pockets through the lens of convolutional neural networks. Remote Sensing of the Environment, 234, Article 111448. Advance online publication. https://doi.org/10.1016/j.rse.2019.111448 [details]
2018
- Roy, D., Lees, M. H., Pfeffer, K., & Sloot, P. M. A. (2018). Spatial segregation, inequality, and opportunity bias in the slums of Bengaluru. Cities : The International Journal of Urban Policy and Planning, 74, 269-276. Advance online publication. https://doi.org/10.1016/j.cities.2017.12.014 [details]
- Roy, D., Palavalli, B., Menon, N., King, R., Pfeffer, K., Lees, M., & Sloot, P. M. A. (2018). Survey-based socio-economic data from slums in Bangalore, India. Scientific Data, 5, Article 170200. https://doi.org/10.1038/sdata.2017.200 [details]
2017
- Roy, D., Lees, M. H., Pfeffer, K., & Sloot, P. M. A. (2017). Modelling the impact of household life cycle on slums in Bangalore. Computers, Environment and Urban Systems, 64, 275-287. https://doi.org/10.1016/j.compenvurbsys.2017.03.008 [details]
2014
- Roy, D., Lees, M. H., Palavalli, B., Pfeffer, K., & Sloot, M. A. P. (2014). The emergence of slums: A contemporary view on simulation models. Environmental Modelling & Software, 59, 76-90. https://doi.org/10.1016/j.envsoft.2014.05.004 [details]
2018
- Roy, D. (2018). Data-driven modelling of slum dynamics in Bangalore using an integrated discrete-choice agent-based framework. 373-374. Abstract from Conference on Complex Systems 2018, Thessaloniki, Greece.
- Roy, D. (2018). Understanding slum emergence and migration using an agent-based model. 1-2. Abstract from 9th International Congress on Environmental Modelling and Software, Fort Collins, United States.
Others
- Vasconcelos, V. V. (organiser), Roy, D. (organiser), Krueger, E. (organiser), Pinheiro, F. L. (organiser), Stewart, A. J. (organiser), Garibay, V. (organiser), Teixeira, A. (organiser), Leng, Y. (organiser), Lees, M. (member of programme committee), Kawakatsu, M. (member of programme committee), Nespeca, V. (member of programme committee), Mittal, D. (member of programme committee), Dignum, E. (member of programme committee), Mengesha, I. (member of programme committee), Alpalhão, N. (member of programme committee), Candia, C. (member of programme committee) & Pilatti, G. (member of programme committee) (3-7-2023 - 5-7-2023). Computational Social Complexity Track at ICCS 2023, Prague. Thematic Track at the International Conference on Computational Social Science 2023 (organising a conference, workshop, ...). https://sites.google.com/view/cscx-track-2023/
2024
- Dupont, C. A. & Roy, D. (7-11-2024). Multi-level poverty traps. Universiteit van Amsterdam. https://doi.org/10.21942/uva.27625176.v1
2017
- King, R., Palavalli, B., Roy, D., Menon, N., Sloot, P. M. A., Pfeffer, K. & Lees, M. (2017). Socio-economic data from slums in Bangalore, India. UK Data Archive. https://doi.org/10.5255/ukda-sn-852705
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Ancillary activities
No ancillary activities
Bazyleva, V., Garibay, V. M., & Roy, D. (2024). Trajectory-based global sensitivity analysis in multiscale models. Scientific Reports, 14, Article 13902.