Education Economics

INNOVATION AND THE ECONOMICS OF HIGHER EDUCATION

Machine Learning X Doing Education Economics: Creating more effective and vibrant higher education institutions with AI, economics and information science

The future of work is changing higher education before our eyes. Institutions of higher learning need to maximize social impact in a fast-changing world. Students, faculty, administration and partners need to feel heard more than ever before.

From enrollment research, program feasibility studies, program reviews, labor market studies, student insights, reviews, policy analysis, to custom research, there is a need for fast, technical, high-quality information to aid decision making.

What is the secret to your institution performing at its desired level? Machine Learning X Doing Education Economics is an approach to improve outcomes for institutions of higher learning and enable them to fulfill their mandates in the 21st century

You set the standard for everyone else. By not allowing the box to define you, you’ve become the box for others.

As the world changes before your eyes, it’s naturally a little harder to keep doing what has never been done.

Traditional and innovation consulting can inspire change, but the level of excellence that can match your legacy is rare. The world is changing. What if next-level AI could transmit and sustain your DNA and impact, empowering students, faculty, administration, partners and community with your decision-making?

Welcome to your next level. Welcome to the future of your institution of higher learning.

How can your education excellence evolve in a way that strengthens your existing efforts?

Your destiny is on the global stage. Build on your innovation legacy in a changing and diverse world. Help the world join hands and make change

Be you. Sustain and improve your institution of higher learning for impact over the long run

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It is up to us all to make the world a better place, starting with the needs of your institution of higher learning

Introducing the next-generation of AI, designed around the fundamental question of what it means to be human

Together, we will inspire change in the world, by first introducing your organization to its true potential

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Kweku Opoku-Agyemang, Ph.D.


Kweku Opoku-Agyemang, Ph.D., is former faculty at the University of California, Berkeley in development economics, former computer science researcher at Cornell University and visiting scholar at UC Berkeley Mechanical Engineering. He has advised Google scientists, given talks at Facebook, presented to government officials from 12 countries and others.

A former session Chair at the Canadian Economic Association, Kweku believes that his next-generation Machine Learning X Doing approach can help organizations and countries to do better by their people by meeting or exceeding their potential and taking their culture to its real potential. He is based in Toronto, Canada.