Presider: W. Justin Dyer

The research literature for many topics grows at an exponential rate, making it difficult for seasoned researchers to stay abreast of new developments and for new students to select novel dissertation topics. Furthermore, literature reviews carried out by members of various research teams likely duplicate efforts but may also differ some in terms of the specific articles and chapters identified. This project addresses these issues by (1) demonstrating how text mining methods can be used to identify themes and emerging topics in the literature and (2) proposing a collaborative approach to building and maintaining a database of relevant research articles using principles of open science. An illustration is given for the topic of “coparenting.”