Data Science and Analytics for Environmental Good
Elizabeth Burrell
2|6|23
Article was published: November 23, 2022
Overview
In this article, Anirban Nandi explores how data science and innovative technologies can help policy makers and leaders develop strategies and manage relevant information when making decisions to meet the sustainable development goals set by the UN.
Applications
Climate Prediction
A digital twin of Earth, Destination Earth is being developed by the European Union to simulate human and natural activity in order to make precise forecasts of climate change and extreme weather events.
Pollution Control
The Internet of Things uses machine learning algorithms to provide pollution predictions for urban areas based on data on vehicle emissions, airflow directions, pollen levels, and weather.
Disaster Response
Physics based modelling and AI are being used by tech companies like IBM and Palantir to provide disaster risk management strategies.
Sea Level Change
Data from NASA and AI are being used by organizations like the Chesapeake Conservancy to track changes on land surfaces, like growing sea area and shrinking ice caps in order to predict floods and other risks.
About the Author
Anirban Nandi specializes in data science, data engineering, and developing retail analytics teams. Nandi developed in house products like customer personalization, recommendation systems, and search engine classifiers for Target. Nandi was one of the founding members at DataLabs(Landmark Group) and is currently the Head of Business Analytics at Rakuten India.