Some of the people below have been part of the LO+FTTM team for nearly a decade. Others have started supporting the development of LO+FTTM concepts for use in big data applications during this last year. We can build the Luck Optimizing and Fault Tolerant approaches your organization needs.
Lynn Adams, Ph.D., Mother, Program Director (at one of the nation's institutes of health), and inventor of the nutrition teaching tool “Body Buddy.” Lynn is a long-term adviser and content review resource. She is frequently sought out as a reviewer and editor of scientific and technical literature in a wide range of fields.
Jim is a retired Air Force Colonel, and a senior futurist with specialized expertise in strategic applications for the Department of Defense and other Federal Agencies. Jim has been a major guiding force in shaping the entire LO+FTTM concept, both for sociological applications as well as system design concepts. As a futurist he has worked for TASC, Northrop Grumman, and Engility.
Erik works with Digital Clones developing digital marketing approaches for the upcoming ebook series Be the Boss by 12 for gifted and talented grade school kids. He has an extensive background in human resources management. Erik is currently building a practice in the bio-feedback technique of brain-wave training for executive performance improvements.
Tom is an astrophysicist who was Director of the International Ultraviolet Explorer (IUE) Data Analysis Center, a major astrophysics research center at NASA Goddard Space Flight Center. After Tom moved his system integration skills into the private sector (building a major customer support center for Verizon), he became interested in leadership effectiveness. With his NASA colleague Dr. Terry Teays, Tom studied their IUE Project and abstracted their secrets of leadership success, now called LO+FTTM.
Study the present very carefully
to build possible versions of the future.
Generate strategic options
based on those possible futures.
Work quickly to create long lead times,
and watch events carefully to select the best options.