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.
Thank you for an insightful and empowering session, Brian!
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