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Philip M. Parker | |
|---|---|
| Born | June 20, 1960 U.S. |
| Academic background | |
| Education | Wharton School of the University of Pennsylvania |
| Academic work | |
| Institutions | INSEAD |
Philip M. Parker (born June 20, 1960) is an American economist and academic, and currently the INSEAD Chaired Professor of Management Science at INSEAD in Fontainebleau, France. He has patented a method to automatically produce a set of similar books from a template that is filled with data from databases and Internet searches.
Parker is dyslexic. He received undergraduate degrees in finance and economics. He received a Ph.D. in business economics from the Wharton School of the University of Pennsylvania. He has master's degrees in finance and banking from Aix-Marseille University and managerial economics from Wharton.
He was a professor of economics and business at the University of California, San Diego, before moving to INSEAD, where he has been a professor of marketing since 1988. His work focuses primarily on macroeconomics.
In 2025, Parker co-founded Xavier AI with Joao Filipe, a former McKinsey consultant. Xavier AI is a company that has launched an AI strategy consultant.
Since 2021, Parker has been developing a multilingual "content engine" project named Botipedia. Botipedia is an AI-powered research tool designed to automatically create encyclopedic articles.
Parker has written six books on national economic development and economic divergence. His books argue that consumer utility and consumption functions should be bounded by physical laws and against economic axioms that violate laws of physics, such as the conservation of energy.[clarification needed]
Parker is also involved in new media reference work projects. He is the creator of Webster's Online Dictionary: The Rosetta Edition, a multilingual online dictionary created in 1999. It uses the "Webster's" name, which is in the public domain. This site compiles different online dictionaries and encyclopedias including Webster's Revised Unabridged Dictionary (1913), Wiktionary, and Wikipedia.
Most of Parker's automatically generated books target niche markets (the "long tail" concept). Examples include:
All books are self-published paperbacks. Ninety-five percent of the ordered books are sent out electronically; the rest are printed on demand. Parker plans to extend the programs to produce romance novels.
Using a collection of automation programs called "Eve", Parker has applied his techniques to post over 1.3 million poems. He plans to generate one poem for each word found in the English language. He refers to these as "graph theoretic poems" since they are generated using graph theory. Parker says the poems are didactic, either defining the entry word in question or highlighting its antonyms.
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