About the UBI Center
Mission: Produce open-source research to inform a robust policy debate around universal basic income.
UBI is worth serious research and public discourse.
Philosophers and economists have explored universal basic income for centuries, and a new appetite for bold ideas opens an opportunity for UBI, if it can become associated with real policy. Policymakers, advocates, and the media need to know how we'd fund it and whom it would affect in what ways. The UBI Center analyzes specific UBI policies, produces UBI plans, builds tools to communicate results, and evaluates policies in the vein of UBI.
The future of policy analysis is open-source.
Nearly all public policy analysis is performed by organizations that keep their code private, making it impossible to reproduce the analysis or adjust it with different parameters. Relying on organizations' trustworthiness reinforces political divisions and slows progress toward consistent analysis from the policy research community. Open-source analysis enables analysts to build credibility from peer review and produces better models from which we can all benefit.
All UBI Center work is on GitHub (soon this website will be too!). We welcome researchers who want to check our work, extend it to other analyses, or just help out. There's a lot to do, from building interactive graphics to analyzing more policies to incorporating labor responses and more.
Max Ghenis is the founder of the UBI Center. He contributes to the Open Source Policy Center's Tax-Calculator software, and is a consultant for its synthetic household data project, which will be used by the UBI Center. From 2010 to 2018, he was a data scientist at Google, where he most recently researched YouTube's emerging markets products. Max has a bachelor's degree in operations research from the University of California at Berkeley, and is pursuing a master's degree in Data, Economics, and Development Policy from MIT.