The Future of Extreme Weather Events - Advanced Machine Learning and Artificial Intelligence for Democratic Institution preparedness and enhanced National Food Security!

Publication Date

1-1-2022

Document Type

Conference Proceeding

Publication Title

Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022

DOI

10.1109/BigData55660.2022.10021065

First Page

2402

Last Page

2410

Abstract

Extreme weather events have become the norm of our day-to-day lives! We hear long running heat waves, flash floods, extreme droughts, fires, and failed monsoons. These extreme weather events have an unprecedented impact on psychological and quality of life on the population, especially the poor and underprivileged will bear most of the impact in terms of loss of economic opportunities and un-sustained livelihood. The result is increased undernourishment and food insecurity. The preparedness of future democratic governments and public distributed systems rest in harnessing prognostic markers from data using advanced analytics from past weather events. The well-prepared governments apply multi-modal interdisciplinary governmental data systems to perpetually analyze and infuse departments to be ready to tackle any potential disruptions to the lives of citizens, especially poor and marginalized parts of the societies that could fall into vicious cycle of poverty-health-and-loss of economic opportunities. The paper proposes innovative Machine Learning Models to address food security concerns to the extreme weather events.

Keywords

and Democratic Governments, Extreme Weather, Food Security, Machine Learning Models

Department

Computer Engineering

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