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21/11/2024

MethodsNET Workshop Louvain 2024. COMPLEX-IT: A computational platform for non-experts to explore complex data

I want to thank Benoît Rihoux and the MethodsNET team for the opportunity to run a workshop on COMPLEX-IT at this year's first MethodsNET Conference and Workshop series at Université catholique de Louvain. The workshop was a three 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 COMPLEX-IT 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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