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

Snehalkumar Neil S. Gaikwad; Shankar Iyer; Dalton Lunga; Elizabeth Bondi

doi:10.1145/3447548.3469461

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

Snehalkumar Neil S. Gaikwad, Shankar Iyer, Dalton Lunga, Elizabeth Bondi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Original language	English
Title of host publication	KDD 2021 - Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Publisher	Association for Computing Machinery
Pages	4125-4126
Number of pages	2
ISBN (Electronic)	9781450383325
DOIs	https://doi.org/10.1145/3447548.3469461
State	Published - Aug 14 2021
Externally published	Yes
Event	27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2021 - Virtual, Online, Singapore Duration: Aug 14 2021 → Aug 18 2021

Publication series

Name	Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Conference

Conference	27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2021
Country/Territory	Singapore
City	Virtual, Online
Period	08/14/21 → 08/18/21

Keywords

algorithmic decision making and ethics
computational social science
data-driven humanitarian actions
fair and interpretable machine learning
human-centered data science
public policy
remote sensing
social computing
sustainable development

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1145/3447548.3469461

Cite this

Gaikwad, S. N. S., Iyer, S., Lunga, D., & Bondi, E. (2021). Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning. In KDD 2021 - Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 4125-4126). (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining). Association for Computing Machinery. https://doi.org/10.1145/3447548.3469461

Gaikwad, Snehalkumar Neil S. ; Iyer, Shankar ; Lunga, Dalton et al. / Data-driven Humanitarian Mapping : Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning. KDD 2021 - Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, 2021. pp. 4125-4126 (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

@inproceedings{adc4b8d5c9df4e00ad35a6a1f4e97d4d,

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

keywords = "algorithmic decision making and ethics, computational social science, data-driven humanitarian actions, fair and interpretable machine learning, human-centered data science, public policy, remote sensing, social computing, sustainable development",

author = "Gaikwad, {Snehalkumar Neil S.} and Shankar Iyer and Dalton Lunga and Elizabeth Bondi",

year = "2021",

month = aug,

day = "14",

doi = "10.1145/3447548.3469461",

language = "English",

series = "Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining",

publisher = "Association for Computing Machinery",

pages = "4125--4126",

booktitle = "KDD 2021 - Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining",

note = "27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2021 ; Conference date: 14-08-2021 Through 18-08-2021",

}

Gaikwad, SNS, Iyer, S, Lunga, D & Bondi, E 2021, Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning. in KDD 2021 - Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery, pp. 4125-4126, 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2021, Virtual, Online, Singapore, 08/14/21. https://doi.org/10.1145/3447548.3469461

Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning. / Gaikwad, Snehalkumar Neil S.; Iyer, Shankar; Lunga, Dalton et al.
KDD 2021 - Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, 2021. p. 4125-4126 (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Data-driven Humanitarian Mapping

T2 - 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2021

AU - Gaikwad, Snehalkumar Neil S.

AU - Iyer, Shankar

AU - Lunga, Dalton

AU - Bondi, Elizabeth

PY - 2021/8/14

Y1 - 2021/8/14

KW - algorithmic decision making and ethics

KW - computational social science

KW - data-driven humanitarian actions

KW - fair and interpretable machine learning

KW - human-centered data science

KW - public policy

KW - remote sensing

KW - social computing

KW - sustainable development

UR - http://www.scopus.com/inward/record.url?scp=85114911376&partnerID=8YFLogxK

U2 - 10.1145/3447548.3469461

DO - 10.1145/3447548.3469461

M3 - Conference contribution

AN - SCOPUS:85114911376

T3 - Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

SP - 4125

EP - 4126

BT - KDD 2021 - Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

PB - Association for Computing Machinery

Y2 - 14 August 2021 through 18 August 2021

ER -

Gaikwad SNS, Iyer S, Lunga D, Bondi E. Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning. In KDD 2021 - Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery. 2021. p. 4125-4126. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining). doi: 10.1145/3447548.3469461

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

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Cite this