Update README.md

README.md

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-Edit this `README.md` markdown file to author your organization card.
+QCAI-HumAI-DisplacementMonitoring hosts datasets, models, and tools developed for AI-assisted displacement monitoring using satellite imagery. The resources support vehicle detection, geospatial analysis, and humanitarian applications, including the VME and CDSI datasets and associated training and inference models.
+
+## Repositories:
+[VME, CDSI dataset & benchmark](https://github.com/nalemadi/VME_CDSI_dataset_benchmark)
+
+[Syria-IDP-Car-Counts](https://github.com/nalemadi/Syria-IDP-Car-Counts)
+
+## Our Papers: 
+```
+@article{al-emadi_vme_2025,
+    title = {{VME: A Satellite Imagery Dataset and Benchmark for Detecting Vehicles in the Middle East and Beyond}},
+    volume = {12},
+    issn = {2052-4463},
+    url = {https://doi.org/10.1038/s41597-025-04567-y},
+    doi = {10.1038/s41597-025-04567-y},
+    pages = {500},
+    number = {1},
+    journal = {Scientific Data},
+    author = {Al-Emadi, Noora and Weber, Ingmar and Yang, Yin and Ofli, Ferda},
+    date = {2025-03-25},
+    publisher={Spring Nature},
+    year={2025}
+}
+```
+
+```
+@article{al2025ai,
+  title={AI-Driven Disaster Response and Displacement Monitoring},
+  author={Al-Emadi, Noora and Imran, Muhammad and Yang, Yin and Weber, Ingmar and Lashi, Fabjan and Rigodanza, Gaia and Haj{\v{z}}manov{\'a}, Ivana and Ofli, Ferda},
+  journal={Communications of the ACM},
+  volume={68},
+  number={10},
+  pages={66--71},
+  year={2025},
+  publisher={ACM New York, NY, USA}
+}
+```