*Abstract Submission is Now Open!*
*Call for Papers – Duke Forest Conference 2016* *(DFC* *2016**)*
*Conference Theme:* Economics in the Era of Natural Computationalism and
Big Data: A Conference in celebration of the 50th anniversary of the
“Theory of Self-Reproducing Automata” (by John von Neumann)
*Venue:* Hilton Garden Inn Durham Southpoint, Durham, North Carolina, USA
*Date:* Nov 11-13, 2016
*URL: *http://www.aiecon.org/conference/dfc2016/
*Keynote Speakers*
*Robert Axtell*, George Mason University
<http://www.css.gmu.edu/~axtell/Rob/Home.html>
*Bruce Caldwell*, Duke University
*Claudio Cioffi-Revilla*, George Mason University
<http://www.css.gmu.edu/?q=node/16>
*John Davis*, Marquette University
<http://business.marquette.edu/faculty/directory/john-davis>
*John Duffy*, University of California, Irvine
*Norman Greenburg*, West Michigan University
*Huan Liu*, Arizona State University
*Barkley Rosser*, James Madison University
*John Staddon*, Duke University
*Leigh Tesfatsion*, Iowa State University
Since publication of his magnum opus, The Theory of Self-Reproducing
Automata, von Neumann's influence over the entire scientific world in terms
of computing and computation has been monumental for more than half a
century. This includes economics. In addition to von Neumann’s ideas
dominating the development of computing machines during the last half a
century, his attempt to develop a general theory of automata has also
motivated and facilitated active interdisciplinary conversations among
sciences, social sciences, computer sciences, and recently, humanities. The
latter phenomenon is known as natural computationalism.
In year 2002, through Philip Mirowski’s Machine Dreams, von Neumann’s
influence on the theory of automata became better known to economists.
Twelve years after Machine Dreams, two MIT Sloan School economists, Erik
Brynjolfsson and Andrew McAfee published The Second Machine Age (the second
industrial revolution). The digital society has been understood as an
outcome as well as a process of the second industrial revolution. It is
frequently characterized by its production of big data. However, big data
is no longer just about data. The fact that now users can supply their own
contents, which is the essential idea of Web 2.0, has fundamentally changed
what we know as “data”, the pooling and use of data, and what we understand
as “knowledge”. The trend that big data is accepted as a standard type of
data in economics and social sciences has made social sciences naturally
more computational and, in a sense, more behavioral.
The theme of Duke Forest Conference 2016 is Economics in the Era of Natural
Computationalism and Big Data. Within the ambient of the forest of data,
the conference aims to discover the answer for the following questions.
First, how economics, specifically behavioral and computational economics,
can help data analytics in mining information and knowledge from big data;
second, how big-data phenomena can present economists challenging research
questions, new research opportunities, and methodological innovations. For
the latter, we further ask how computer simulation, laboratory experiments,
field study, questionnaires may evolve or co-evolve with the presence of
big data.
With the above core issues, studies in each of the aforementioned fields,
but not limited to, empirical economics, behavioral economics, experimental
economics, on-line gaming experiments, neuroeconomics, computational
economics, agent-based simulation, econometrics, history of economics, data
science, and other related disciplines, such as artificial intelligence,
psychology, cognitive sciences, digital physics, computational social
sciences, and digital humanities are also welcome.
*Organized Special Sessions:*
In addition to the general sessions, the conference will also have the
following themed special sessions:
1. Cosmos + Taxis Sponsored Session on Hayekian Political
Economy
(Organizers: David Emanuel Andersson and Leslie Marsh)2. JEM-Sponsored
Session on Big Data and Economic Methodology
<http://www.aiecon.org/conference/dfc2016/JEMsymposium.php>
(Organizers: John B. Davis, D. Wade Hands and Shu-Heng Chen)
3. Special Session on Linguistics and Cultural Analytics
<http://www.aiecon.org/conference/dfc2016/SSLinguistics.php>
(Organizers: Michael Gavin and William Kretzschmar)
*Post-Conference Publications:*
Selected high-quality papers from DFC2016 will have the opportunity to be
published in the special issues of the following journals:
- International Journal of Business and Economics
<http://www.ijbe.org/>
- International Journal of Microsimulation
<http://www.microsimulation.org/ijm/>
- New Mathematics and Natural Computation
<http://www.worldscientific.com/worldscinet/nmnc>
- Journal of Economic Methodology
<http://www.tandfonline.com/action/journalInformation?show=aimsScope&journalCode=rjec20&#.VpX6AGS8PGc>
*Important Dates:*
July 1, 2016, Abstract and 3-page extended abstract submission deadline
August 15, 2016, Notification of decisions on submitted abstracts due
September 4, 2016, Discounted early registration deadline
October 7, 2016, Presenter Registration Deadline
November 11-13, 2016, DFC 2016 Conference
*Paper Submission:*
The paper submission system is available at
https://easychair.org/conferences/?conf=dfc20160
*Sponsors:*
AI-Econ Research Center
Cosmos + Taxis
Duke University
International Journal of Business and Economics
International Journal of Microsimulation
Journal of Economic Methodology
National Chengchi University
New Mathematics and Natural Computation
The Society of Mathematical Uncertainty
