| dc.contributor.author | Rothkopf, Alexander | |
| dc.contributor.author | Goentzel, Jarrod | |
| dc.date.accessioned | 2021-03-08T19:07:56Z | |
| dc.date.available | 2021-03-08T19:07:56Z | |
| dc.date.issued | 2020-10-01 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/130099 | |
| dc.description.sponsorship | USAID | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | GitHub | en_US |
| dc.rights | Attribution-NonCommercial-ShareAlike 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/us/ | * |
| dc.subject | USAID, OFDA, humanitarian, logistics capacity, CITE, optimization | en_US |
| dc.title | Data-driven optimization of OFDA's disaster response capacity: Python Source Code | en_US |
| dc.type | Software | en_US |
| dc.identifier.citation | https://github.com/MIT-HSCL/OFDA-SLP | en_US |
