John Smart

July 11, 2009

John M. SmartJohn M. Smart is a technology foresight educator and a scholar in global processes of evolution, development, and accelerating change.

He is president of the Acceleration Studies Foundation (Mountain View, CA), a nonprofit research organization that seeks to help individuals better understand and manage accelerating technological change, and co-founder of, an international research community that explores evolutionary and developmental processes of change at the universal and subsystem scales. He is also an affiliate of the ECCO research group at VUB (Brussels, Belgium).

He is a professor and program champion for the Emerging Technologies masters program at the University of Advancing Technology (Tempe, AZ), which teaches foresight in exponentially advancing technologies, and seeks innovative technology solutions to humanity’s grand challenges. He is also an advisor in futures studies and forecasting at Singularity University (Mountain View, CA).

He is Vice President of the Brain Preservation Foundation, whose central objective is to promote scientific research and services development in the field of whole brain preservation for long-term static storage.

John has a B.S. in business administration from UC Berkeley, an M.S.-equivalency in physiology and medicine from U.C. San Diego School of Medicine (two years of medical school and USMLE-I), an M.S. in futures studies from the University of Houston, and seven years of postbaccalaureate coursework in biological, cognitive, computer and physical sciences at UCSD. He studied systems theory at UCSD under the mentorship of James Grier Miller (Living Systems, 1978), who mentored under process philosopher Alfred North Whitehead. His personal website on accelerating technological change is, and his blog is

See essays by this author:
Technology and Human Enhancement
What is the Singularity?
See blog posts by this author:
Aokify America Charity for brain research
Chemical brain preservation: how to live 'forever' --- a personal view
Preserving the self for later emulation: what brain features do we need?