Using Novel Computer-Assisted Linguistic Analysis Techniques To Assess The Timeliness And Impact Of Fp7 Health'S Research - A Work In Progress Report

This paper presents the ongoing developments of the ex-post evaluation of the Health theme in FP7 which will be finalised in early 2017. the evaluation was launched by DG Research and Innovation, European Commission. Among other questions the evaluation asked to assess the structuring effect of FP7 Health on the European Research Area dnd the timeliness of the research performed. To this end the evalaution team has applied two innovative computer-assisted linguistic analysis techniques to adderss these questions, including dynamic topic modelling and network analysis of co-publications. The topic model built for this evaluation contributed to comprehensive mapping of FP7 Health's research activities and building of a dynamic topic model that has not been attempted in previous evalautions of the Framework Programmes. Our applied network analysiswas of co-publications proved to be a powerful tool in determining the structuring effect of the FP7 Health to a level of detail which was again not implemented in previous evaluations of EU-funded research programmes.