Much thanks to Rachel Caswell, Mohammed Amin Mohammed and Jennifer Wood for the chance to present on COMPLEX-IT at the Midlands Analyst Network Huddle as part of the NHS Strategy Unit.
A QUICK OVERVIEW OF THE COMPLEX-IT WORKSHOP
COMPLEX-IT: Enabling Non-Experts to Leverage Advanced Computational Modelling for Policy Evaluation and Decision Making
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.
-------------
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.
CLICK HERE for a link to PRSM, the participatory systems mapping tool.
No comments:
Post a Comment