TY - GEN
T1 - KDD 2023 International Workshop on Data Science for Social Good (DSSG-23)
AU - Yadav, Amulya
AU - Taneja, Aparna
AU - Mukhopadhyay, Ayan
AU - Chang, Serina
N1 - Publisher Copyright:
© 2023 Owner/Author.
PY - 2023/8/6
Y1 - 2023/8/6
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=85171357219&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85171357219&partnerID=8YFLogxK
U2 - 10.1145/3580305.3599210
DO - 10.1145/3580305.3599210
M3 - Conference contribution
AN - SCOPUS:85171357219
T3 - Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
SP - 5895
EP - 5896
BT - KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
PB - Association for Computing Machinery
T2 - 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023
Y2 - 6 August 2023 through 10 August 2023
ER -