Research on free energy rate density
A metric to characterize the complexity of physical, biological and cultural systems in the universe has been proposed by Chaisson (2001; 2003) (see below).
- How can we make this metric more precise and improve its data sets?
- What are the limitations of this metric?
- What happens if we use this metric for the early universe?
- Can we complete the curve to understand the past (early universe) and the future (acceleration of technology)?
Progressing on these issues
We are looking for cosmologists to use this metric on the early universe. We are looking for technology scholars and statisticians to extrapolate the curve to the future.
Such a quantitative understanding will allow us to better characterize the evolution of complexity in our universe.
- Bela Nagy
- John Smart
- Clément Vidal
other researchers who have published on this issue:
- Robert Aunger
- Eric Chaisson
- Aunger, Robert. 2007a. A rigorous periodization of 'big' history. Technological Forecasting and Social Change 74, no. 8 (October): 1164-1178. doi:10.1016/j.techfore.2007.01.007.
- ———. 2007b. Major transitions in 'big' history. Technological Forecasting and Social Change 74, no. 8 (October): 1137-1163. doi:10.1016/j.techfore.2007.01.006. .
- Chaisson, E.J. (2001) Cosmic Evolution: The Rise of Complexity in Nature, Harvard U. Press. ISBN 067400342X
- Chaisson, E.J. (2003) A Unifying Concept for Astrobiology, International Journal of Astrobiology, 2:91-101.
Koh, Heebyung, and Christopher L. Magee. 2006. A functional approach for studying technological progress: Application to information technology. Technological Forecasting and Social Change 73, no. 9 (November): 1061-1083. doi:10.1016/j.techfore.2006.06.001. http://www.santafe.edu/~bn/reading_group/Koh_Magee_Information.pdf.
———. 2008. A functional approach for studying technological progress: Extension to energy technology. Technological Forecasting and Social Change 75, no. 6 (July): 735-758. doi:10.1016/j.techfore.2007.05.007. .
Nordhaus, W. D. 2007. Two centuries of productivity growth in computing. The Journal of Economic History 67, no. 01: 128-159. .