CECAN Webinar: COMPLEX-IT: User-friendly computational modelling software for exploring complex policy data Thursday 18th June 2020, 13:00 – 14:00 BST

 CECAN Webinar:
COMPLEX-IT: User-friendly computational modelling software for exploring complex policy data Thursday 18th June 2020, 13:00 – 14:00 BST
Professor Brian Castellani (Sociology, Durham)
Dr Corey Schimpf (Learning Analytics Scientist, Concord Consortium)
Dr Pete Barbrook-Johnson (Senior Research Fellow, Surrey)

You are warmly invited to join us for the following CECAN Webinar…Webinar Overview: We will use recent COVID-19 data from Public Health England to provide a quick introduction to the value of COMPLEX-IT (and its tutorial supported website) for modelling complex policy data. COMPLEX-IT is a case-based, mixed-methods platform for 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 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. For more on the software, click here!

Session Objectives:Understand the basic purpose of COMPLEX-IT for modelling complex policy data;Survey COMPLEX-IT’s tutorial supported website;Run through a basic example of how COMPLEX-IT works, including its tab interface;Review the report that COMPLEX-IT generates at the end of an analysis, including its set of databases, figures, statistical results and additional materials. Presenter Biographies: Brian Castellani’s research involves advancing the tools of social complexity theory and computational social science for the study of public health and policy including COVID-19 and air quality. Corey Schimpf’s research focuses on computational modelling and software development and their application to engineering education and social science. Peter Barbrook-Johnson’s work involves the appraisal and evaluation of innovative public-private-partnerships, as well as advancing the usage of computational social system and systems mapping for public policy.

How to Join: This talk will take place via a Zoom Webinar – please click here to register for a place. After registering, you will receive a confirmation email containing information about joining the webinar. In case you are unable to attend, a recording of the webinar will be uploaded to our website following the event.