| dc.contributor.author | Gaikwad, Snehalkumar 'Neil' | |
| dc.contributor.author | Lunga, Dalton | |
| dc.contributor.author | Iyer, Shankar | |
| dc.contributor.author | Bondi, Elizabeth | |
| dc.date.accessioned | 2022-10-24T13:24:58Z | |
| dc.date.available | 2022-10-24T13:24:58Z | |
| dc.date.issued | 2021-08-14 | |
| dc.identifier.isbn | 978-1-4503-8332-5 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/145948 | |
| dc.publisher | ACM|Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining | en_US |
| dc.relation.isversionof | https://doi.org/10.1145/3447548.3469461 | en_US |
| dc.rights | 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. | en_US |
| dc.source | ACM|Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining | en_US |
| dc.title | Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning | en_US |
| dc.type | Article | en_US |
| dc.identifier.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." | |
| dc.contributor.department | Massachusetts Institute of Technology. Media Laboratory | |
| dc.identifier.mitlicense | PUBLISHER_POLICY | |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dc.date.updated | 2022-10-19T16:04:49Z | |
| dc.language.rfc3066 | en | |
| dc.rights.holder | The author(s) | |
| dspace.date.submission | 2022-10-19T16:04:49Z | |
| mit.license | PUBLISHER_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
