From out-competing grandmasters in chess to informing high-stakes healthcare decisions,
emerging methods from artificial intelligence are increasingly capable of making complex …

Machine-driven decision-making is everywhere. Decisions based on machine learning
algorithms are supplementing or replacing human decision-making in vastly different …

Adaptive management (AM) is an approach that uses targeted monitoring and investigation
to improve future management practices in a structured and iterative way through …

The challenges that face humanity today differ from the past because as the scale of human
influence has increased, our biggest challenges have become global in nature, and formerly …

Environmental law is not what it once was. It is no longer just a subfield of positive law,
namely administrative law, starting with mandates in the form of statutes, translated into …

In the never-ending project to build a better regulatory state mousetrap, two of the most
seductive reinvention models to emerge over the past few decades have been market …

Climate change soon will begin to disrupt the settled expectations of humans. Rising sea
levels, persistent drought where water has been abundant, longer growing seasons in some …

Adaptive management is an approach to natural resource management that emphasizes
learning through management where knowledge is incomplete, and when, despite inherent …

Adaptive governance must work “on the ground,” that is, it must operate through structures
and procedures that the people it governs perceive to be legitimate and fair, as well as …

Collaborative adaptive management (CAM) is regularly touted as the best way to handle
natural resource management in the face of uncertainty, change and conflict. Successful …