Research in this area circles around these pillars:

Conceptual Ideas: Why Data-Driven Policy Matters for Climate/Environmental Policy

A Conservative Approach to Environmental Law: Be Data Driven

Political debates around environmental policy should be grounded in empirical data (scientifically produced and peer-reviewed) rather than ideology. Many political conservatives, like many political liberals, have remained emotionally transfixed to certain positions on environmental issues that cannot withstand analysis or data. The reflexive rejection of climate change is one example of an empirically bankrupt tenet of current conservative orthodoxy that will ultimately be politically damaging.

Applications of Data-Driven Policy in Environmental Governance

Transparency in an Era of Data-Driven Policy: The Importance of Reproducible Research

Government entities such as the Environmental Protection Agency encourage and employ data-driven “evidence-based policymaking” to make decisions and recommendations.

Quality of Data

Real world examples of data-driven policy

Understanding Climate Change: Opportunities and Challenges for Data-Driven Research

(PDF) Big Data in Climate Change Research: opportunities and Challenges

Climate change study is a data intensive subject which has seen numerous innovation s in the data collection methods, and study of that data using Big Data Analytics. There is a considerable shift from study methods like random sampling of climate data to data intensive methods where complete datasets are analysed by means of Big Data Analytics.

Framework of big data in climate change studies (Source: Hassani et. al., 2019)

Framework of big data in climate change studies (Source: Hassani et. al., 2019)