Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning

Snehalkumar (Neil) S. Gaikwad, Shankar-Iyer, Dalton D. Lunga, Elizabeth Bondi. Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning. In Feida Zhu 0002, Beng Chin Ooi, Chunyan Miao, editors, KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, Singapore, August 14-18, 2021. pages 4125-4126, ACM, 2021. [doi]

@inproceedings{GaikwadILB21,
  title = {Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning},
  author = {Snehalkumar (Neil) S. Gaikwad and Shankar-Iyer and Dalton D. Lunga and Elizabeth Bondi},
  year = {2021},
  doi = {10.1145/3447548.3469461},
  url = {https://doi.org/10.1145/3447548.3469461},
  researchr = {https://researchr.org/publication/GaikwadILB21},
  cites = {0},
  citedby = {0},
  pages = {4125-4126},
  booktitle = {KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, Singapore, August 14-18, 2021},
  editor = {Feida Zhu 0002 and Beng Chin Ooi and Chunyan Miao},
  publisher = {ACM},
  isbn = {978-1-4503-8332-5},
}