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DFC 2016 : Duke Forest Conference 2016 | |||||||||||||
Link: http://www.aiecon.org/conference/dfc2016/ | |||||||||||||
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Call For Papers | |||||||||||||
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 Bruce Caldwell, Duke University Claudio Cioffi-Revilla, George Mason University John Davis, Marquette University 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. 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 International Program Committee: Chair Paul P Wang, Duke University, USA Co-Chairs Jason Barr, Rutgers University, USA Jane Binner, Birmingham University, UK Shu-Heng Chen, National Chengchi University, Taiwan Michael Gavin, University of South Carolina, USA Shabnam Mousavi, John Hopkins University, USA Scientific Advisory Committee John Mordeson, Creighton University, USA Leonid Perlovsky, Harvard University, USA International Program Committee David Andersson, Xi'an Jiaotong-Liverpool University, China Peter Anselmo, New Mexico Tech, USA Jorgen Vitting Andersen, University of Paris I (Sorbonne), France Yuji Aruka, Chuo University, Japan Jan Baetens, Ghent University, Belgium Te Bao, Nanyang Technological University, Singapore Albert Bakhtizin, Russian Academy of Sciences, Russia Anthony Brabazon, University College Dublin, Ireland Edgardo Bucciarelli, University of Chieti-Pescara, Italy Shih-Fen Cheng, Singapore Management University, Singaore Siew Ann Cheong, Nanyang Technological University, Singapore N.K. Chidambaran, Fordham University, USA German Creamer, Stephen Institute of Technology, USA Zengru Di, Beijing Normal University, China Francesco Di Iorio, Southeast University, China Paola D'Orazio, Ruhr University Bochum, Germany Witold Dzwinel, AGH University of Science and Technology, Poland Michael Gallagher, St. Bonaventure University, USA Eugene Callahan, Cardiff University, UK Christophre Georges, Hamilton College, USA Jiaqi Ge, James Hutton Institute, UK Aditya Ghose, University of Wollongong, Australia Gianfranco Giulioni, University of Chieti-Pescara, Italy Robert Golan, DBmind Technologies Inc., USA Shyam S. Gouri Suresh, Davidson College, USA László Gulyás, Lorand Eotvos University, Hungary Mirsad Hadzikadic, Uuiversity of North Carolina at Charlotte, USA Nobuyuki Hanaki, University of Nice, France Kun-Huang Huarng, Feng Chia University, Taiwan Yu-Ning Hwang, National Chengchi University, Taiwan Kiyoshi Izumi, University of Tokyo, Japan Biliana Alexandrova Kabadjova, Bank of Mexico, Mexico Michael Kampouridis, University of Kent, UK William Kretzschmar, Univ of Georgia, Athens, USA Edward Kung, University of California at Los Angeles, USA William Lawless, Paine College, USA Allen Lee, Arizona State University, USA Duk Hee Lee, Korea Advanced Institute of Science and Technology, Korea Honggang Li, Beijing Normal University, China Xihao Li, McMaster University, Canada Guay Lim, University of Melbourne, Australia Hwan Lin, Uuiversity of North Carolina at Charlotte, USA Jianwu Lin, Tsinghua University, China Ruipeng Liu, Deakin University, Australia Krzysztof Malarz, AGH University of Science and Technology, Poland Dietmar Maringer, University of Basel, Switzerland Leslie Marsh, University of British Columbia, Canada Asunción Mochón, National Distance Education University, Spain Akira Namatame, National Defense Academy, Japan Asjad Naqvi, Vienna University of Economics and Business, Austria Shigeaki Ogibayashi, Chiba Institute of Technology, Japan Vijayalakshmi Pai, PSG College of Technology, India Heping Pan, Chinese Academy of Sciences, China Andreas Pape, Binghamton University, USA Andreas Pyka, Universität Hohenheim, Germany Adrien Querbes- Revier, Carnegie-Mellon University, USA Marco Raberto, University of Genoa, Italy Yago Sáez, Charles III University of Madrid, Spain Aki-Hira Sato, Kyoto University, Japan Hokky Situngkir, Bandung Fe Institute, Indonesia Sami Suwailem, Islamic Development Bank, Saudi Arabia Takao Terano, Tokyo Institute of Technology, Japan Elpida Tzafestas, University of Athens, Greece Ben Vermeulen, Universität Hohenheim, Germany Guochen Wang, Chinese Academy of Social Sciences, China Li-Jian Wei, Sun Yat-Sen Business School, Sun Yat-Sen University, China Emma Wilson, University of Alabama, USA Chieh-Te Wu, National Taiwan University, Taiwan Lingfei Wu, University of Chicago, USA Ling Xue, Peking University, China Chao Yang, Hunan University, China Xiaoguang Yang, Chinese Academy of Sciences, China Yimin Yang, Proviti, Inc., USA Tina Yu, University of San Francisco, USA Mei Zhu, Shanghai University of Finance and Economics, China 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 |
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