Luke Jordan is Founder and Executive Director of Grassroot (South Africa) and is a long-time partner affiliate of MIT GOV/LAB. In 2021, he was the MIT GOV/LAB practitioner-in residence (intro Q+A). At MIT, Luke launched a guide for practitioners on building civic technology and is exploring different ways artificial intelligence and machine learning (AI/ML) can advance democracy. See links below to the guide and exploratory research.
News October 2023
Contextualization is Key: The Importance of Tailoring Development Projects to Local Needs
A working paper co-authored by MIT GOV/LAB partner affiliate Luke Jordan uses a machine learning model to show that development projects that are tailored to a country’s context are tied to successful development outcomes
Research July 2023
Minding the Gap Aid Effectiveness, Project Ratings and Contextualization
Former MIT GOV/LAB Practitioner in Residence Luke Jordan co-authors a paper on training a machine learning model on World Bank projects.
Research February 2020
A Novel Approach to Civic Pedagogy: Training Grassroots Organizers on WhatsApp
Research results from a collaborative project with Grassroot, a civic technology organization based in South Africa.
Resources April 2021
Don't Build It. A Guide for Practitioners in Civic Tech
This guide by practitioner-in-residence Luke Jordan aims to help you avoid bad projects, structure the team right, ship and learn quicker, and mature longer. Available in English, Spanish, and Japanese.
News October 2022
[Code for Japan Summit] Why Good Ideas Fail
A graphic illustration and video of Luke Jordan, MIT GOV/LAB 2021 practitioner-in-residence, presenting at the 2022 Code for Japan Summit on "Don't Build It. A Guide for Practitioners in Civic Tech".
News February 2022
What’s Next for AI/ML in Governance? Reflections on a Year of Exploration
Takeaways on advancing AI/ML (artificial intelligence/machine learning) for democracy and governance, what is hype, what is promising, and who needs to learn some coding.
News December 2021
Predicting Development Aid Outcomes with Machine Learning
New research by Luke Jordan, MIT GOV/LAB practitioner-in-residence, explores elements of focus and contextualization as key to predicting the outcomes of development aid.
News November 2021
[Nov. 17 Webinar]: Evaluating 20,000+ World Bank Development Projects: Can Machine Learning Help Predict which Projects Will Succeed or Fail?
MIT GOV/LAB Practitioner-in-Residence Luke Jordan presents exploratory research applying machine learning to a brand new dataset scraped from the World Bank’s public archives.
News October 2021
Using AI to Finance the Things That Matter
Trying to make public infrastructure easier to fund and more accessible to the public using AI models.
News June 2021
[Stack Overflow Podcast] Don’t Build It – Advice on Civic Tech
Ben Popper at Stack Overflow chatted with Innocent Ndubuisi-Obi and Luke Jordan about the unique challenges you face when trying to solve civic problems with software.
News March 2021
DeepShake: From Shakespeare to Legal Tech
Luke Jordan, MIT GOV/LAB practitioner-in-residence, shares a new project testing machine and transfer learning, text generation applications to the law.
News May 2020
How to Teach Grassroots Organising and Leadership on WhatsApp
Our work with Grassroot, teaching community organisers on WhatsApp, was featured on the Mobilisation Lab site.