Another award! We feel really honoured to have been selected for this year’s Sage Concept Grant for the Causal Map app. We want to use this grant to make the app more accessible to Universities around the world so that students and academics can further explore the possibilities of causal qualitative data analysis. Causal mapping has a long tradition as a way to collect and understand information about how groups of individuals believe the world works, and we’ve done a lot to integrate it into qualitative data analysis, but there’s much more which can be done. We will use the grant to help make our platform faster and more stable, and we can’t wait to see the sort of ideas students and academics come up with for taking causal mapping in new directions.
SAGE’s Concept Grant program provides funding for innovative software solutions that support research in the social sciences. Established in 2018, the grant has been designed to fund new technological solutions that support the adoption, development and application of established and emerging research methods, including quantitative, qualitative, mixed, and computational methods.
Over the last three years we have developed a whole range of algorithms for causal mapping. The algorithms are published open-source in the form of functions for the programming language R.
I've got a load of texts to analyse, can I use Causal Map just for standard Qualitative Data Analysis, like ordinary thematic analysis, to identify important themes?