Making an Impact
How We Support Change
All Michelson 20MM investments strive to surface research that informs current or future public policy recommendations.
Our Impact Investments
Personalized Student Support Powered By Artificial Intelligence
AdmitHub uses AI and machine learning to facilitate the path to and through college.
Achieving dreams takes real motivation
Motimatic is the first automatic motivational support system that improves outcomes for students in higher education.
Unlocking campus intelligence
Pragya Systems is an AI-powered engine built to reimagine campus intelligence and connect students, faculty, and employers.
Awakening the fearless, relentless curiosity inside every student
Packback is a Q&A learning platform powered by a proprietary A.I. to quantify and improve critical thinking skills in college students.
OpenStax, a nonprofit open textbook publisher based out of Rice University, provides free college textbooks and low cost learning materials for students round the world.
With a catalog of 30+ books,1,100+ course adoptions worldwide, and thousands of users, they have saved students an estimated $30 million over the past two years alone. Michelson 20MM is proud to be a founding funder of OpenStax College.
Inspired by our benefactor’s robust career, Michelson 20MM created an in-depth intellectual property video series, course, and textbook, The Intangible Advantage, with the guidance of highly regarded experts, to address critical gaps in the world of IP education.
We believe any young person who does not understand the basics of IP–and its value and role in science, business, and arts professions–will find him or herself at a distinct disadvantage in the world of tomorrow.
Styled as a parody of ESPN’s “SportsCenter,” “StatsCenter” covers some of the most dry and daunting topics in the world of Statistics. “StatsCenter” provides a transformative way for students to excel in statistical concepts.
Join YouTube all-star Robert Ahdoot of YayMath.org and Jordan Cohen in this entertaining sports-based exploration into the study of statistics.