We use computational linguistics to develop a dynamic, interpretable methodology that can detect emerging risks in the financial sector. Our model can predict heightened risk exposures as early as mid 2005, well in advance of the 2008 financial crisis. Risks related to real estate, prepayment,...

Study abroad and the associated sociocultural experience has been a subject of substantial interest to social science scholars and university administrators. Shedding novel light on the phenomenon, we draw on a corpus of student-authored reflective essays and apply methods of computational...

Innovation is considered as a main driver of economic growth. Promoting the development of innovation through STI (science, technology and innovation) policies requires accurate indicators of innovation. Traditional indicators often lack coverage, granularity as well as timeliness and involve...