A framework for extracting and representing project knowledge contexts using topic models and dynamic knowledge maps

There is still a lack of effective paradigms and tools for analysing and discovering the contents and relationships of project knowledge contexts in the field of project management. In this paper, a new framework for extracting and representing project knowledge contexts using topic models and dynamic knowledge maps under big data environments is proposed and developed. The conceptual paradigm, theoretical underpinning, extended topic model, and illustration examples of the ontology model for project knowledge maps are presented, with further research work envisaged.

Private school quality in Italy

Private school enrolment may lead to worse subsequent performance in further education or in the labour market. If students differ in their ability not only to pay but to take advantage of educational opportunities (“talent” for short), private schools attract a worse pool of students when publicly funded schools are better suited to foster progress by more talented students. In the data we analyze, the impact of observable talent proxies on educational and labour market outcomes is indeed more positive for students who (endogenously) choose to attend public schools than for those who choose to pay for private education.