This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.

A command line tool to easily add an ethics checklist to your data science projects.

website, lectures, and other material for Columbia University course "data: past, present, and future"

A reading list and fortnightly discussion group designed to provoke discussion about ethical applications of, and processes for, data science.

Lesson guide and textbook for "Data as a Science" course.

Data Hazards is a project to find a shared vocabulary for talking about worst-case scenarios of data science - and to use that vocabulary to help people understand and avoid Data Hazards.

Google Data Analytics Professional Certificate on Coursera. (All assignments, challenges, and capstones)

A thought-provoking article exploring how to think like a data scientist, without writing a single line of code. Covers the mental framework behind curiosity, structured reasoning, hypothesis testing, and data-driven storytelling, helping readers build analytical intuition beyond tools or syntax.

Revolutionizing collaborative thinking and problem-solving through intelligent ranking systems and gamified AI research contribution. A hybrid gaming-educational mobile platform that combines engaging game mechanics with generative AI education and research.

The fast.ai data ethics course

A repo that takes you through some principles about data privacy based on the Kenya Data Protection Act and General Data Protection Regulation. Useful for a data person.

Learn how to deploy your own LLM in the de.NBI cloud via a step-by-step guided journey throughout an entire lifecycle from design via deployment to productive operation.

Handling and Sharing Qualitative Data Responsibly and Effectively

The project advocates for the implementation of data ethics principles to contribute to an overall improvement in the efficiency, fairness, and transparency of the criminal justice system.

Women in Data; 2024 Datathon; Generative AI; DARIS-19

An automated survey of literature and curricula surrounding ethics in data science. WIP.

US Income Tax Audit Algorithms

A case study examining ethical algorithm concerns in an automated user loan system — analyzing systemic bias, fairness, and accountability in financial decision-making.

🔍 Develop a data scientist's mindset by mastering analytical thinking without coding, turning confusion into insights through clear, structured methods.

Professional bio and curriculum vitae.