Displaying 10 of 42 results for "Sean F Reardon" clear search

Dean Massey Member since: Tue, Dec 27, 2011 at 03:45 AM

Alex Zvoleff Member since: Wed, Aug 15, 2012 at 04:08 PM

Jean-Philippe Aurambout Member since: Mon, Feb 10, 2014 at 07:35 PM Full Member

PhD, MS, Ing

Beniamino Volta Member since: Tue, May 18, 2010 at 07:23 AM Full Member

PhD Student, Anthropology

Mark Ciotola Member since: Sat, Nov 22, 2014 at 09:18 PM

BA in Economics, University of Wisconsin-Madison, BA Physics, San Francisco State University, MBA, San Francisco State University, JD, University of New Hampshire, Grad. Cert in Applied Sciences-Space Science, Univ. of South Australia

Utilizing physics, especially thermodynamics, to model human history.

John Smart Member since: Fri, Jun 02, 2017 at 10:42 PM

MS, Strategic Foresight, U. Houston, MS Eq, Physiology and Medicine, UC San Diego

Henrique de Sena Kozlowski Member since: Sat, Jun 15, 2024 at 07:42 PM Full Member

PhD, Archaeology, Universidade de São Paulo

Archaeologist from Brazil, working with shellmound population dynamics in agent-based modelling.

Marco Braasch Member since: Fri, Mar 02, 2018 at 04:49 PM

Forest engineer (FH), University of applied forestry sciences Rottenburg a.N. Germany, M.Sc Environmental science IPICYT, San Luis Potosi, Mexico

Hang Xiong Member since: Tue, Feb 14, 2012 at 10:13 AM Full Member

PhD

I am a full professor at the College of Economics and Management, Huazhong Agricultural University, and the Executive Dean of the Digital Agriculture Research Institute.

Cosimo Leuci Member since: Mon, Jul 15, 2019 at 05:16 PM Full Member

I live in Salento, a small land located between two seas in Southeastern Italy. I work as an educator in an adult school. My educational background includes a degree in Life Sciences. During my post-graduate training, I was involved in researching the genetic and molecular responses of cells to environmental and genomic stresses. Currently, I am interested in exploring theoretical biology and complex adaptive systems through agent-based modelling.

Artificial Life, Adaptive Cognition, Evolvability