Space Exploration Economics


Science for space exploration based on what it means to be human


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Solve your economics of space. A new dimension for space exploration

In spite of significant effort and achievements, creating human societies on new planets remain a challenge. There is still a healthy skepticism that hard work can transcend.

Research already implies that a self-reinforcing virtuous cycle of development and economies of scale in rocket launches may eventually motivate increasingly-long space trips, and industrial and scientific experimentation on spacecraft. Over time, demand for resources and opportunities in space are likely.

Also, nudges and system-based economic advancements can help ease limits on information or their asymmetries. The challenges of capturing surplus here make operationalizing these steps vital.

Machine Learning X Doing integrates the human condition into space exploration initiatives.

What we need is AI based on what it means to be human

Next-level AI

You set the standard for everyone else. By not allowing the box to define you, you’ve become the box for others. They might not admit it, but the industry is depending on you.

As you’ve grown however, it’s naturally a little harder to keep doing what has never been done. Standard algorithmic approaches have a role to play, but these are only taking you so far. The stakes are high. Errors can be costly over time. The world is changing. What if next-level AI could take you further than you ever imagined?

Welcome to your next level. Welcome to the future of your industry

How can economic innovation evolve in a way that takes space exploration to the next level?

Feed your progress with evidence. Minimize the debris of technological skepticism and blaze a new path

Be you. Sustain and improve your innovation

It is up to us all to make the universe a better place, starting with your space exploration economics and impact

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 universe, by first introducing your organization to its true potential

Kweku Opoku-Agyemang, Ph.D.

Kweku Opoku-Agyemang, Ph.D., is founder and director of Machine Learning X Doing. An economist, he has independently advised several stakeholders in the technology industry; given seminars at the world’s best universities such as Stanford University and presented to government officials from several countries and many others, such as the World Bank.

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.