Data-driven Humanitarian Mapping and Policymaking: Toward Planetary-Scale Resilience, Equity, and Sustainability

Snehalkumar Neil Gaikwad; Shankar Iyer; Dalton Lunga; Takahiro Yabe; Xiaofan Liang; Bhavani Ananthabhotla; Nikhil Behari; Sreelekha Guggilam; Guanghua Chi

doi:10.1145/3534678.3542918

Data-driven Humanitarian Mapping and Policymaking: Toward Planetary-Scale Resilience, Equity, and Sustainability

Snehalkumar Neil Gaikwad, Shankar Iyer, Dalton Lunga, Takahiro Yabe, Xiaofan Liang, Bhavani Ananthabhotla, Nikhil Behari, Sreelekha Guggilam, Guanghua Chi

Technology Management and Innovation

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

Abstract

Human civilization faces existential threats in the forms of climate change, food insecurity, pandemics, international conflicts, forced displacements, and environmental injustice. These overarching humanitarian challenges disproportionately impact historically marginalized communities worldwide. UN OCHA estimates that 274 million people will need humanitarian support in 2022. Despite growing perils to human and environmental well-being, there remains a paucity of publicly-engaged computing research to inform the design of interventions. Data science efforts exist, but they remain isolated from socioeconomic, environmental, cultural, and policy contexts at local and international scales. Moreover, biases and privacy infringements in data-driven methods further amplify existing inequalities. The result is that proclaimed benefits of data-driven innovations may remain inaccessible to policymakers, practitioners, and underserved communities whose lives they intend to transform. To address gaps in knowledge and improve the livelihood of marginalized populations, we have established the Data-driven Humanitarian Mapping and Policymaking, an interdisciplinary initiative.

Original language	English (US)
Title of host publication	KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Publisher	Association for Computing Machinery
Pages	4872-4873
Number of pages	2
ISBN (Electronic)	9781450393850
DOIs	https://doi.org/10.1145/3534678.3542918
State	Published - Aug 14 2022
Event	28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2022 - Washington, United States Duration: Aug 14 2022 → Aug 18 2022

Publication series

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

Conference

Conference	28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2022
Country/Territory	United States
City	Washington
Period	8/14/22 → 8/18/22

Keywords

algorithmic decision-making and ethics
climate crisis
community-based design
computational social science
data science and public policy
data-driven humanitarian action
fair and interpretable machine learning
human-centered data science
public policy
remote sensing.
social computing
sustainable development

ASJC Scopus subject areas

Software
Information Systems

Access to Document

10.1145/3534678.3542918

Cite this

Gaikwad, S. N., Iyer, S., Lunga, D., Yabe, T., Liang, X., Ananthabhotla, B., Behari, N., Guggilam, S., & Chi, G. (2022). Data-driven Humanitarian Mapping and Policymaking: Toward Planetary-Scale Resilience, Equity, and Sustainability. In KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 4872-4873). (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining). Association for Computing Machinery. https://doi.org/10.1145/3534678.3542918

Data-driven Humanitarian Mapping and Policymaking: Toward Planetary-Scale Resilience, Equity, and Sustainability. / Gaikwad, Snehalkumar Neil; Iyer, Shankar; Lunga, Dalton et al.
KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, 2022. p. 4872-4873 (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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

Gaikwad, SN, Iyer, S, Lunga, D, Yabe, T, Liang, X, Ananthabhotla, B, Behari, N, Guggilam, S & Chi, G 2022, Data-driven Humanitarian Mapping and Policymaking: Toward Planetary-Scale Resilience, Equity, and Sustainability. in KDD 2022 - Proceedings of the 28th 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. 4872-4873, 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2022, Washington, United States, 8/14/22. https://doi.org/10.1145/3534678.3542918

Gaikwad SN, Iyer S, Lunga D, Yabe T, Liang X, Ananthabhotla B et al. Data-driven Humanitarian Mapping and Policymaking: Toward Planetary-Scale Resilience, Equity, and Sustainability. In KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery. 2022. p. 4872-4873. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining). doi: 10.1145/3534678.3542918

Gaikwad, Snehalkumar Neil ; Iyer, Shankar ; Lunga, Dalton et al. / Data-driven Humanitarian Mapping and Policymaking : Toward Planetary-Scale Resilience, Equity, and Sustainability. KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, 2022. pp. 4872-4873 (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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Data-driven Humanitarian Mapping and Policymaking: Toward Planetary-Scale Resilience, Equity, and Sustainability

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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