Climate change is real and we are running out of time. With so much to lose and so many proofs scattered all over the planet, we are well past the stage where we can sweep the impending disaster under the carpet. Unfortunately, not all governments are proactively partaking in the fight against this crisis.
But, like a beacon in the dark, the cutting-edge technology of Data Science is being put to good use by scientists worldwide to tackle the crisis.
Keep reading to find out how.
With Data Science, we have a fact-based, evidence-driven discipline that can help us frame our countermeasures. Climate change holds a lot of intricacies and complexities. But using powerful data-based models and decision support techniques, the domain of Data Science is significantly contributing to the unbiased mitigation of climate change.
But how exactly does Data Science help fight the climate crisis?
There is an ever-growing amount of data available pertaining to climate change. Most climate change strategies and policies rely on big data and predictive analytics. There are numerous government and non-governmental organizations that work at the intersection of data analytics and climate change.
The analysis of digital data such as card transactions or mobile data can provide critical insights into the patterns of human behavior that contribute to the climate crisis. They use this data to identify which activities contribute to climate change and which activities reduce the harmful effects.
Some key areas where Data Science is used to fight climate change
-
Analyzing Carbon Footprints
Several organizations make use of AI-based solutions to measure carbon footprints effectively. Then, they come up with policies and measures that will bring down their carbon emissions.
-
Promotion Of Climate Awareness
Data is a solid tool to counter the pseudo narratives of climate change denialists. The insights extracted using Data Science can be presented as solid evidence to substantiate the grim reality and to spread the word.
-
Development Of Sustainable Products
Data Analytics helps companies come up with sustainable products that minimize environmental impacts. This is accomplished by finding out the relationship between logistics, manufacturing materials, and product designs that leave carbon footprints.
-
Reviving Ecosystems
Big data is used to conserve ecosystems. Historical data is leveraged to identify areas that are the worst affected by forest fires, droughts, floods, and other disasters.
-
Reducing Water Scarcity
Data Science helps procure real-time data on global water availability, quality monitoring, flow tracking, and sociological data about the usage of water in drought-prone areas.
The ongoing climate crisis mitigation is a multi-layered process; by bringing down the proportion of harmful substances that we release into the atmosphere, such as sulfur dioxide and nitrogen oxides, we reduce greenhouse gas emissions, save polar bears, help prevent air-pollution-related illnesses, and even premature deaths.
In short, Data Science is not only countering climate change but is also minimizing healthcare costs and improving our quality of life.
You can be a part of the solution by breaking into the Data Science industry.
Join OdinSchool’s Data Science Course to kickstart your career in Data Science.
