
Episode 12: The Role of Data in Environmental Justice
About this episode
Are you familiar with “environmental justice”? It’s all about equitable access to environmental amenities and the equitable distribution of pollution, and has its roots in the American Civil Rights movement of the 1960’s and 1970’s.
In this episode, Robin Rotman and Amber Spriggs join Dr Genevieve Hayes to discuss the environmental justice movement and how open access GIS-based tools are being used to achieve environmental justice in the USA today.
Guest Bio
Robin Rotman is an Assistant Professor of Energy and Environmental Law and Policy at the University of Missouri-Columbia. She is also a qualified lawyer, focussing on energy, environmental, and natural resource issues, and is a Counsel at Van Ness Feldman, a law firm in Washington DC.
Amber Spriggs is a civil engineering Masters student at the University of Missouri-Columbia with a research focus on hydrology, hydraulic engineering, GIS-based risk assessment, and flood insurance policy.
Talking Points
- What is environmental justice?
- Why the environmental justice movement and the American Civil Rights movement are one and the same.
- The role of data and analytics in achieving environmental justice both now and when the term was first coined.
- Examples of how spatial data analysis has been used to achieve environmental justice.
- How similar techniques could potentially be used to achieve positive outcomes for the community in other ways.
- The role of data and analytics in legal proceedings relating to environmental justice.
Links
- Connect with Robin on LinkedIn
- Connect with Amber on LinkedIn
- EJScreen
- Connect with Genevieve on LinkedIn
- Be among the first to hear about the release of each new podcast episode by signing up HERE
Get every episode summarized
Each time Value Driven Data Science: Boost your impact. Earn what you’re worth. Rewrite your career algorithm. publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from Value Driven Data Science: Boost your impact. Earn what you’re worth. Rewrite your career algorithm.

Episode 100: What Data Science Value Really Means
Value Driven Data Science: Boost your impact. Earn what you’re worth. Rewrite your career algorithm.

Episode 99: [Value Boost] Preventing ML Bias Before it Becomes a Problem
Value Driven Data Science: Boost your impact. Earn what you’re worth. Rewrite your career algorithm.

Episode 98: Building Trust in AI Through Model Interpretability
Value Driven Data Science: Boost your impact. Earn what you’re worth. Rewrite your career algorithm.

Episode 97: [Value Boost] Mathematical Modelling as a Gateway to ML Success
Value Driven Data Science: Boost your impact. Earn what you’re worth. Rewrite your career algorithm.