Advances in Info-Metrics
Information and Information Processing across Disciplines
Edited by Min Chen, J. Michael Dunn, Amos Golan, and Aman Ullah
Author Information
Edited by Min Chen, Professor of Scientific Visualization, Oxford e-Research Centre, and Professorial Fellow, Pembroke College, University of Oxford, Edited by J. Michael Dunn, Oscar Ewing Professor of Philosophy, Emeritus, Professor of Computer Science and Informatics, Emeritus, and Founding Dean, School of Informatics, Indiana University, Bloomington, Edited by Amos Golan, Professor of Economics and Director, Info-Metrics Institute, American University, and External Professor, Santa Fe Institute, and Edited by Aman Ullah, Distinguished Professor of Economics and Chair, University of California, Riverside
Min Chen is the Professor of Scientific Visualization at Oxford University and a fellow of Pembroke College. He has co-authored over 200 publications, including his recent contributions in areas such as theory of visualization, video visualization, visual analytics, and perception and cognition in visualization.
J. Michael Dunn is Oscar Ewing Professor Emeritus of Philosophy, Professor Emeritus of Informatics and Computer Science, at Indiana University, where he spent most of his career and was founding dean of the School of Informatics. He is an affiliate member of the Info-Metrics Institute at the American University. His research has focused on information based logics.
Amos Golan is Professor of Economics and Director of the Info-Metrics Institute at American University. He is also an External Professor at the Santa Fe Institute and a Senior Associate at Pembroke College, Oxford. A leader in info-metrics, he is the author of Foundations of Info-Metrics: Information, Inference, and Incomplete Information.
Aman Ullah is Distinguished Professor of Economics at the University of California, Riverside. The author of 10 books and more than 160 published articles, Professor Ullah has helped shape the field of econometrics and has pioneered the development and application of non-parametric and semi-parametric methods.
Contributors:
Pieter Adriaans, University of Amsterdam, The Netherlands
Martyn Andrews, University of Manchester, UK
Ariel Caticha, University at Albany, USA
Min Chen, University of Oxford, UK
Hwan-sik Choi, Binghamton University, USA
Bryan C. Daniels, Arizona State University, USA
J. Michael Dunn, Indiana University Bloomington, USA
Garland Durham,California Polytechnic State University, USA
Miquel Feixas, University of Girona, Spain
Esteban Fernandez-Vazquez, University of Oviedo, Spain
F. Douglas Foster, University of New South Wales, Australia
John Geweke, University of Washington, USA and University of Technology Sydney, Australia
Amos Golan, American University and Santa Fe Institute, USA
Alastair R. Hall, University of Manchester, UK
John Harte, University of California, Berkeley, USA
George Judge, University of California, Berkeley, USA
Rabeya Khatoony, University of Bristol, UK
Kajal Lahiri, University at Albany, USA
Nataly Kravchenko-Balasha, The Hebrew University of Jerusalem, Israel
James Lincoln, University of Manchester, UK
Millie Yi Mao, University of California, Riverside, USA
Kenric P. Nelson, Boston Fusion Corp. and Boston University and Raytheon Company, USA
Rosa Bernardini Papalia, University of Bologna, Italy
Mateu Sbert, University of Girona, Spain
Michael Stutzer, University of Colorado, Boulder, USA
Yundong Tu, Peking University, China
Aman Ullah, University of California, Riverside, USA
Wuwei Wang, Southwestern University of Finance and Economics, China
Kuangyu Wen, Huazhong University of Science and Technology, China
Ximing Wu, Texas A&M University, USA
