Abstract
COMPLEX-IT is a case-based, mixed-methods platform for applied social inquiry into complex data/systems, designed to increase non-expert access to the tools of computational social science (i.e., cluster analysis, artificial intelligence, data visualization, data forecasting, and scenario simulation). In particular, COMPLEX-IT aids applied social inquiry though a heavy emphasis on learning about the complex data/system under study, which it does by (a) identifying and forecasting major and minor clusters/trends; (b) visualizing their complex causality; and (c) simulating scenarios for potential interventions. COMPLEX-IT is accessible through the web or can be run locally and is powered by R and the Shiny web framework.
| Original language | English |
|---|---|
| Pages (from-to) | 1-12 |
| Number of pages | 12 |
| Journal | Journal of Open Research Software |
| Volume | 8 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2020 |
Keywords
- Complex systems
- case-based methods
- computational modelling
- data forecasting
- data mining
- data visualization
- evaluation research
- machine learning
- social complexity theory
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