Predicting Wildlife Trafficking Routes with Differentiable Shortest Paths 05/23/2023 International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research Aaron Ferber, Emily Griffin, Bistra Dilkina, Burcu Keskin, Meredith Gore https://link.springer.com/chapter/10.1007/978-3-031-33271-5_30
Local Branching Relaxation Heuristics for Integer Linear Programs 05/23/2023 20th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR) Taoan Huang, Aaron Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner https://link.springer.com/chapter/10.1007/978-3-031-33271-5_7
Artificial Intelligence/Operations Research Workshop 2 Report Out 04/10/2023 INFORMS, CCC, ACM SIGAI John Dickerson, Bistra Dilkina, Yu Ding, Swati Gupta, Pascal Van Hentenryck, Sven Koenig, Ramayya Krishnan, Radhika Kulkarni, Catherine Gill, Haley Griffin, Maddy Hunter, Ann Schwartz https://arxiv.org/pdf/2304.04677.pdf
A data directory to facilitate investigations on worldwide wildlife trafficking 04/03/2023 Big Earth Data Meredith L Gore, Rowan Hilend, Jonathan O Prell, Emily Griffin, John R Macdonald, Burcu B Keskin, Aaron Ferber, Bistra Dilkina https://www.tandfonline.com/doi/pdf/10.1080/20964471.2023.2193281
A Longitudinal Exploration of How Connections to Staff Facilitate Efficacy and Service Use in Drop-in Centers Serving Youth Experiencing Homelessness 03/16/2023 Journal of Prevention Eric R. Rice, Graham DiGuiseppi, Laura Onasch-Vera, Erin Casey, Toni Cooper & Mischa DiBattiste https://link.springer.com/article/10.1007/s10935-023-00728-0
Advancing interdisciplinary science for disrupting wildlife trafficking networks 02/27/2023 Proceedings of the National Academy of Sciences Meredith L Gore, Emily Griffin, Bistra Dilkina, Aaron Ferber, Stanley E Griffis, Burcu B Keskin, John Macdonald https://www.pnas.org/doi/full/10.1073/pnas.2208268120
Quantitative Investigation of Wildlife Trafficking Supply Chains: A Review 02/01/2023 Omega Burcu B. Keskin, Emily C. Griffine, Jonathan O. Prell, Bistra Dilkina, Aaron Ferber, John MacDonald, Rowan Hilend, Stanley Griffis, Meredith L. Gore https://www.sciencedirect.com/science/article/pii/S0305048322001876
Using machine learning to determine the shared and unique risk factors for marijuana use among child-welfare versus community adolescents 09/22/2022 PLOS One Sonya Negriff, Bistra Dilkina, Laksh Matai, Eric Rice https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0274998
ROC ++: Robust Optimization in C ++ 09/06/2022 INFORMS Journal on Computing Phebe Vayanos, Qing Jin, George Elissaios https://pubsonline.informs.org/doi/10.1287/ijoc.2022.1209
Robust Optimization with Decision-Dependent Information Discovery 08/22/2022 Under Review at Management Science Phebe Vayanos, Angelos Georghiou, and Han Yu http://www.optimization-online.org/DB_FILE/2019/09/7375.pdf