Exploring complex data from a case-based perspective: the COMPLEX-IT software

In this seminar, we will present our recent work which brings together, and makes accessible, traditional and machine learning cluster analysis in an easy-to-use software interface called COMPLEX-IT. We will describe how you can use COMPLEXIT to explore your data and uncover complex patterns. In addition, we will outline current plans to extend the software to include ‘quick-and-dirty’ agent-based modelling of your topic. We would love to get feedback on the tool and hear from people who might want to use it. Read more at https://www.artsciencefactory.com/complexit.html

Tuesday, 19 November, 2019 - 13:00 to 14:00
Dr. Pete Barbrook-Johnson (Senior Research Fellow, Surrey) and Dr. Corey Schimpf (Learning Analytics Scientist, Concord Consortium)
Presenter(s) biography: 

Corey is based at the Concord Consortium in the US, a non-profit education research organisation, and is visiting Surrey as part of a FASS pump-priming award. This work is also part of the wider research of CECAN, a UK-wide research centre hosted in theSociology department at Surrey, which is pioneering and testing innovative complexity-appropriate research methods – see www.cecan.ac.uk
Pete - see www.surrey.ac.uk/people/pete-barbrook-johnson