Computational politics is a field originated and defined by Ashu M. G. Solo that involves the application of computer science or mathematics to solving problems in politics. Computational politics includes, but is not limited to, principles and methods for political decision making, analysis, modeling, optimization, forecasting, simulation, and expression.
Published in Chapter:
The Interdisciplinary Fields of Political Engineering, Public Policy Engineering, Computational Politics, and Computational Public Policy
Ashu M. G. Solo (Maverick Trailblazers Inc., USA)
Copyright: © 2020
|Pages: 16
DOI: 10.4018/978-1-7998-0377-5.ch001
Abstract
This chapter describes four interdisciplinary fields originated and defined by Ashu M. G. Solo in 2011 called political engineering, public policy engineering, computational politics, and computational public policy. Political engineering is the application of engineering, computer science, mathematics, or natural science to solving problems in politics. Computational politics is the application of computer science or mathematics to solving problems in politics. Political engineering and computational politics include, but are not limited to, principles and methods for political decision-making, analysis, modeling, optimization, forecasting, simulation, and expression. Public policy engineering is the application of engineering, computer science, mathematics, or natural science to solving problems in public policy. Computational public policy is the application of computer science or mathematics to solving problems in public policy. Public policy engineering and computational public policy include, but are not limited to, principles and methods for public policy formulation, decision-making, analysis, modeling, optimization, forecasting, and simulation. The chapter describes the scope of research and development in these fields, provides examples of research and development in these fields, and provides possible university curricula for academic programs in these fields.