KDD 2023 International Workshop on Data Science for Social Good (DSSG-23)

Amulya Yadav; Aparna Taneja; Ayan Mukhopadhyay; Serina Chang

doi:10.1145/3580305.3599210

KDD 2023 International Workshop on Data Science for Social Good (DSSG-23)

Amulya Yadav
, Aparna Taneja
, Ayan Mukhopadhyay
, Serina Chang

College of Information Sciences and Technology

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

1 Scopus citations

Abstract

This workshop will bring together researchers and practitioners across different strands of data science research and a wide range of important real-world application domains. The objective is to share the current state of research and practice, explore future work directions, and create collaboration opportunities. In addition, the workshop will emphasize highlighting data science approaches for tackling the United Nations Sustainable Development Goals (see preliminary agenda below). The organizers believe that data science research has an important role to play in providing unique insights about critical challenges faced by marginalized communities around the world; we encourage submissions from both data science researchers as well as social workers, agronomists, epidemiologists, health policy researchers, and other domain experts who are interested in engaging with the SIGKDD community.

Original language	English (US)
Title of host publication	KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Publisher	Association for Computing Machinery
Pages	5895-5896
Number of pages	2
ISBN (Electronic)	9798400701030
DOIs	https://doi.org/10.1145/3580305.3599210
State	Published - Aug 6 2023
Event	29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023 - Long Beach, United States Duration: Aug 6 2023 → Aug 10 2023

Publication series

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

Conference

Conference	29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023
Country/Territory	United States
City	Long Beach
Period	8/6/23 → 8/10/23

UN SDGs

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

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Software
Information Systems

Access to Document

10.1145/3580305.3599210

Cite this

Yadav, A., Taneja, A., Mukhopadhyay, A., & Chang, S. (2023). KDD 2023 International Workshop on Data Science for Social Good (DSSG-23). In KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 5895-5896). (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining). Association for Computing Machinery. https://doi.org/10.1145/3580305.3599210

Yadav, Amulya ; Taneja, Aparna ; Mukhopadhyay, Ayan et al. / KDD 2023 International Workshop on Data Science for Social Good (DSSG-23). KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, 2023. pp. 5895-5896 (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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author = "Amulya Yadav and Aparna Taneja and Ayan Mukhopadhyay and Serina Chang",

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doi = "10.1145/3580305.3599210",

language = "English (US)",

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

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Yadav, A, Taneja, A, Mukhopadhyay, A & Chang, S 2023, KDD 2023 International Workshop on Data Science for Social Good (DSSG-23). in KDD 2023 - Proceedings of the 29th 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. 5895-5896, 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, United States, 8/6/23. https://doi.org/10.1145/3580305.3599210

KDD 2023 International Workshop on Data Science for Social Good (DSSG-23). / Yadav, Amulya; Taneja, Aparna; Mukhopadhyay, Ayan et al.
KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, 2023. p. 5895-5896 (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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

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AB - This workshop will bring together researchers and practitioners across different strands of data science research and a wide range of important real-world application domains. The objective is to share the current state of research and practice, explore future work directions, and create collaboration opportunities. In addition, the workshop will emphasize highlighting data science approaches for tackling the United Nations Sustainable Development Goals (see preliminary agenda below). The organizers believe that data science research has an important role to play in providing unique insights about critical challenges faced by marginalized communities around the world; we encourage submissions from both data science researchers as well as social workers, agronomists, epidemiologists, health policy researchers, and other domain experts who are interested in engaging with the SIGKDD community.

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Yadav A, Taneja A, Mukhopadhyay A, Chang S. KDD 2023 International Workshop on Data Science for Social Good (DSSG-23). In KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery. 2023. p. 5895-5896. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining). doi: 10.1145/3580305.3599210

KDD 2023 International Workshop on Data Science for Social Good (DSSG-23)

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

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Cite this