This post is in regard to the Workshop I ran on our computational software platform, COMPLEX-IT. It was a six hour intensive, so thanks to all of those who attended for your brilliant questions and also for staying engaged over such a long period of time. I must say I got back to my hotel totally exhausted! LOL!
A QUICK OVERVIEW OF THE WORKSHOP
COMPLEX-IT: A computational, multi-methods platform for non-experts to explore complex social science and health data
ABSTRACT
While the complexity sciences offer a new approach to thinking about social and health data, making use of their computational methods can be considerably challenging for non-experts – particularly postgraduate students, applied researchers, policy evaluators and civil servants. There is a solution! This workshop will introduce COMPLEX-IT, a free online R-platform designed for non-experts to employ the latest developments in machine learning, data visualisation, participatory systems mapping, network analysis, simulation, data forecasting, and cluster analysis. For our workshop, we will explore a real-world data set to walk through the steps of using COMPLEX-IT and the concepts of complexity science to show how these tools can help attendees gain new insights into social and health data. The goal is for participants to leave with a new methods platform they can use in their own work.
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For those who attended or simply might be interested, here are some links to the material from the day.
CLICK HERE for a link to the PowerPoint from the Workshop.
CLICK HERE for a link to COMPLEX-IT.
CLICK HERE for a link to the dataset we explored. NOTE: The dataset is a CSV (comma separated) file, created in EXCEL. It is just a sample to function as an example. It contains several public health indicators (e.g., access to health services, fuel poverty, crime, teen pregnancies, etc) for 100 authority districts in England, UK.
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