Author:
Hall Margeret,Haas Christian,Schacht Johanna,Kimbrough Steven O.
Abstract
AbstractA socialoid (our term) is an integrated collection of data and models about a society. As such, and accepting that it can never be complete, it is a computational model of a society. We are in the early stages of building a socialoid for Philadelphia, PA. We call it the Philadelphioid. The Philadelphioid is a diachronic (temporal), mashed, geographic information system (GIS) with an extensive integrated library of integrated analytics tools. The purpose of this chapter is to articulate our design rationale for the Philadelphioid and to illustrate its underlying concepts and premises. Central among these concepts is the principle of solution pluralism, which enjoins us to use analytics and visualization to create and explore multiple solutions to decision problems. We illustrate an application of this philosophy by discussing analysis pertaining to food deserts carried out with the Philadelphioid.
Publisher
Springer International Publishing
Reference40 articles.
1. Bankes S (1993) Exploratory Modeling for Policy Analysis. Operations Research 41(3):435–449
2. Bernstein J, Shierholz H (2014) The minimum wage: A crucial labor standard that is well targeted to low- and moderate-income households. Journal of Policy Analysis and Management 33(4):1036–1043
3. Cannuscio CC, Hillier A, Karpyn A, Glanz K (2014) The social dynamics of healthy food shopping and store choice in an urban environment. Social Science and Medicine 122:13–20
4. Chou C, Kimbrough SO, Murphy FH, Sullivan-Fedock J, Woodard CJ (2014) On empirical validation of compactness measures for electoral redistricting and its significance for application of models in the social sciences. Social Science Computer Review 32(4):534–542
5. Choudhury MD, Sharma S, Kiciman E (2016) Characterizing dietary choices, nutrition, and language in food deserts via social media. In: Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing (CSCW ’16), ACM, New York, NY, USA, pp 1157–1170