Good Enough Research
Systemic Injustice in Conservation
Dr Gray and Dr Gupta drive conservation justice research partnerships. This provides a sandbox for the Good Enough Lab to develop methodologies, creating a virtuous cycle between research for social good and the tech industry.
Methodological work
→ On a Plurality of Ontologies: Reparative Justice in Broken Systems
Founding research
Select publications.
→ Check out Dr Gray’s Google Scholar profile for a full publication list
The Lab’s methodologies are fundamentally shaped by Dr Charles T. Gray’s scientific research.
Dr Gray began working in systems epistemology in 2012, what she does for a living has been rebranded several times in tech hype cycles.
- big data
- informatics
- data science
- machine learning
- artificial intelligence
Charles calls all this:
math, data, and code.
Dr Gray’s doctoral thesis on data science governance
The Good Enough Lab is heavily influenced by Charles’ research in systems epistemology; how can we trust the math, data, and code are answering the question we intended?
Math
The Good Enough Lab draws on Dr Gray’s training in abstract algebra and mathematical chaos.
→ The Homomorphism Lattice Induced by a Finite Algebra
Data & Code
→ Truth, Proof, and Reproducibility: There’s no counterattack for the codeless