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

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

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Author(s)
Gaikwad, Snehalkumar 'Neil'
•
Lunga, Dalton
•
Iyer, Shankar
•
Bondi, Elizabeth
Date Issued
August 14, 2021
Publisher
ACM|Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Citation
Gaikwad, Snehalkumar 'Neil', Lunga, Dalton, Iyer, Shankar and Bondi, Elizabeth. 2021. "Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning."
Version
Final published version
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
https://hdl.handle.net/1721.1/145948
DOI of Published Version
https://doi.org/10.1145/3447548.3469461
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