SMC Chapter Seminar on Social Computing using E-CARGO
IEEE North Jersey Section IEEE SMC Chapter Seminar
Social Computing using E-CARGO
Haibin Zhu, Ph.D. and Professor
Collaborative Systems Laboratory (CoSys Lab), Nipissing University,
100 College Dr., North Bay, ON P1B 8L7, Canada
haibinz@nipissingu.ca
http://uts.nipissingu.ca/haibinz
Place: https://njit.webex.com/meet/zhou, NJIT, Newark, NJ
Time: 9:30-10:30am, Thur., March 17, 2022
Host: MengChu Zhou, Ph.D. & Dist. Professor
ABSTRACT
Humans are social beings and people cannot live alone. Social computing is an interdisciplinary area across social behavior and computational systems. It is a long-term, cutting-edge topic in the interdisciplinary field where information technology, computer science, social science, and sociology overlap. Creating or recreating social conventions and social contexts is the major goal. Role-Based Collaboration (RBC) has been proposed as a computational approach to facilitating collaboration. It utilizes roles as underlying mechanisms to support collaboration by taking advantage of roles. It is divided into several phases: role negotiation, role assignment, role execution, and role transfer. RBC and its related components are an abstract model, which is a perfect mapping for social activities, because social and economic systems are typical collaboration systems. The Environments – Classes, Agents, Roles, Groups, and Objects (E-CARGO) model, which has been developed into a general model for complex systems, have a good match for the requirements of social computing. In this talk, we establish the fundamental requirements for social computing and demonstrate that RBC, E-CARGO, Group Role Assignment (GRA), and Adaptive Collaboration methodologies and models are highly qualified to meet these requirements. Based on RBC, E-CARGO and GRA, we present a new approach to social simulation with E-CARGO related components, models, and algorithms. This talk also illustrates several interesting case studies of social computing: 1) a comparison between collectivism and individualism; 2) how to acquire the preferred position in a team of collectivism; 3) why the USA president opposes globalization; and 4) A social paradox for Pareto 80/20 rule. Through these case studies, E-CARGO has been verified to be a novel promising methodology for social simulation by competing with conventional agent models. Our continuous research on RBC and E-CARGO informs that social, political and economic phenomena can be explained by GRA, which demonstrates a collective team effort. GRA with constraints and GRA with multiple objectives can be further applied to reproduce more complex phenomena in these areas. It is believed that there are numerous opportunities for research along with the presented directions.
Dr. Haibin Zhu is a Full Professor and the Coordinator of the Computer Science Program, Founding Director of Collaborative Systems Laboratory, Nipissing University, Canada. He has published over 200 research publications including 30+ IEEE Transactions articles, six books, five book chapters, three journal issues, and four conference proceedings. He is a fellow of the International Institute of Cognitive Informatics and Cognitive Computing (I2CICC), a senior member of IEEE and ACM, and a full member of Sigma Xi. He is serving as member, Board of Governors, AVP Systems Science and Engineering, co-chair of the technical committee of Distributed Intelligent Systems, IEEE Systems, Man and Cybernetics (SMC) Society; Editor-in-Chief, IEEE SMC Magazine; and Associate Editor of IEEE Transactions on SMC: Systems, IEEE Transactions on Computational Social Systems, and IEEE Canada Review. He is the creator of the E-CARGO model and the proposer of the Role-Based Collaboration methodology. He has offered over 70 invited talks including keynote and plenary speeches on "Computational Social Simulations Using E-CARGO". He is the receipt of the Meritorious Service Award from IEEE SMC Society (2018), the chancellor’s award for excellence in research (2011) and two research achievement awards from Nipissing University (2006, 2012), the IBM Eclipse Innovation Grant Awards (2004, 2005), the Best Paper Award from the 11th ISPE Int’l Conf. on Concurrent Engineering (ISPE/CE2004), Educator’s Fellowship of OOPSLA’03, a 2nd class National Award for Education Achievement (1997), and three 1st Class Ministerial Research Achievement Awards from China (1997, 1994, and 1991).
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- Newark, New Jersey
- United States 07102
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Prof. Haibin Zhu