Paper Type
Short
Paper Number
1684
Description
Data science offers hope in addressing social challenges such as climate change. However, there is a lack of application of data science for social good. Further, there is a discernible gap in understanding the use of historical data for such purposes. In this ongoing research, we adopt an imprinting perspective to explore how historical data can be used for social good. We present a case study of a project that used historical records to develop a climate data series of the past. Our preliminary insights highlight how historical imprints can be used to navigate present uncertainties by assimilating the past with the present, resulting in a synthesized imprint.
Recommended Citation
Cooray, Marian Vindya; Pan, Shan; and Sandeep, M.S., "Leveraging Historical Data for Social Good: An Imprinting Study of Climate Analytics" (2024). PACIS 2024 Proceedings. 4.
https://aisel.aisnet.org/pacis2024/track18_sustain/track18_sustain/4
Leveraging Historical Data for Social Good: An Imprinting Study of Climate Analytics
Data science offers hope in addressing social challenges such as climate change. However, there is a lack of application of data science for social good. Further, there is a discernible gap in understanding the use of historical data for such purposes. In this ongoing research, we adopt an imprinting perspective to explore how historical data can be used for social good. We present a case study of a project that used historical records to develop a climate data series of the past. Our preliminary insights highlight how historical imprints can be used to navigate present uncertainties by assimilating the past with the present, resulting in a synthesized imprint.
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Sustainability