Collaborative and Distributed E-Research: Innovations in Technologies, Strategies and Applications: Innovations in Technologies, Strategies and Applications

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Juan, Angel A.
IGI Global, Feb 29, 2012 - Computers - 419 pages
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Technology has made it possible to conduct research and form research groups that are not limited by geographic location. The field of Collaborative and Distributed E-Research (CDER) studies this phenomenon, specifically focusing on the use of the Internet and Information Technology (IT) to develop international and distributed scientific research.

Collaborative and Distributed E-Research: Innovations in Technologies, Strategies and Applications offers insight into practical and methodological issues related to collaborative e-research and furthers our understanding of current and future trends in online research and the types of technologies involved. This book provides a useful foundation for academics and professionals involved in Collaborative and Distributed E-Research, collaborative software development, and computer-supported collaborative work.

 

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Contents

Collaboration Practices and Future Challenges
1
The Web as a Platform for EResearch in the Social and Behavioral Sciences
34
EResearch Methodology
62
Collaborative and Distributed eResearch Environment for Supporting Scientific Research and the Education Process
82
eResearch in the Border Zone
95
Towards InDepth Long Term Collaboration
111
Artificial Intelligence Supported NonVerbal Communication for Enriched Collaboration in Distributed EResearch Environments
135
An Ontological Structure for Gathering and Sharing Knowledge among Scientists through Experiment Modeling
165
The Case of the Virtual Community Collaborative Space for Sciences Education European Project
206
Issues and Experiences in Starting eResearch Collaborations in Graduate Programs
227
A Case Study in Exploration Geophysics
247
Effects of the Drewlite CSCL Platform on Students Learning Outcomes
276
Collaborative and Distributed Innovation and Research in Business Activity
310
Scale and Complexity Linkage with the Requirement of Physical Encounters
330
Compilation of References
347
About the Contributors
383

Section 2
180
A Computer Supported Collaborative Tool to Support Doctoral Candidates Academic Writing A Pedagogical and HumanComputer Interaction Persp...
181

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About the author (2012)

Angel A. Juan is an Associate Professor of Simulation and Data Analysis in the Computer Science Department at the Open University of Catalonia (UOC) as well as a Researcher at the Internet Interdisciplinary Institute (IN3). He also collaborates, as a Lecturer of Computer Programming and Applied Statistics, with the Department of Applied Mathematics I at the Technical University of Catalonia (UPC). He holds a Ph.D. in Applied Computational Mathematics (UNED), an M.S. in Information Systems & Technology (UOC), and an M.S. in Applied Mathematics (University of Valencia). His research interests include both service and industrial applications of computer simulation, probabilistic algorithms, educational data analysis, and mathematical e-learning. He has published several papers in international journals, books and proceedings regarding these fields. Also, he has been involved in several international research projects. He is an editorial board member of the Int. J. of Data Analysis Techniques and Strategies as well as of the Int. J. of Information Systems & Social Change, and a member of the INFORMS society. His e-mail is: ajuanp@uoc.edu.

Thanasis Daradoumis (adaradoumis@uoc.edu) holds a PhD in computer science from the Polytechnic University of Catalonia (Spain), a master’s degree in computer science from the University of Illinois (USA), and a bachelor’s degree in mathematics from the University of Thessaloniki (Greece). He is an associate professor in the Department of Computer Sciences, Multimedia & Telecommunication at the Open University of Catalonia. His research focuses on e-learning and network technologies, Web-based instruction and evaluation, distributed and adaptive learning, CSCL, CSCW, interaction analysis, and grid technologies. He is co-director of the DPCS Research Laboratory.

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