Big Data in Computational Social Science and Humanities
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Big Data in Computational Social Science and Humanities by Shu-Heng Chen
The following questions are addressed: why is there a need for novel data governance for this new type of data?, why is big data important for social scientists?, and how will it revolutionize the way social scientists conduct research?
Shu-Heng Chen is a Taiwanese economist and currently a Distinguished Professor at the Department of Economics at National Chengchi University. He is also the founder and Director of the AI-ECON Research Center at the National Chengchi University. His contributions are in the area of computational approaches to understanding economic and finance problems, in particular, the use of heterogeneous agent-based approach and genetic programming in economics. He is considered one of the pioneers in the field of agent-based computational economics and the first to introduce genetic programming to ACE. He takes a biologically-inspired approach in modeling the boundedly rational behavior of agents and is influenced by the work of Herbert A. Simon.
| SKU | Unavailable |
| ISBN 13 | 9783319954646 |
| ISBN 10 | 3319954644 |
| Title | Big Data in Computational Social Science and Humanities |
| Author | Shu-Heng Chen |
| Series | Computational Social Sciences |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer International Publishing AG |
| Year published | 2018-11-29 |
| Number of pages | 388 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |