GitHub page for this project: https://yprie.github.io/uPMT/

uPMT is aimed at researchers using microphenomenology interviews (also know as explicitation interviews) to study lived experience. It has been designed to help analyze the micro-dynamics of experience as described in interview transcriptions, by modelling and formalizing the sequential unfolding of "experience moments" described with categories and properties, and linked to the descriptemes - excerpts of the transcript - that justify them.

Current work is carried out by Gabriel Jolly, Thomas Clouet and Célian Rolland. Past developers were Yves Motteux and Esteban Jamin (20-21), Xavier Tremillon, Yahuan Chen and Nathan Seva (19-20), Gwenaelle Gouriten, Salma Hichami and Othman Houmair (18-19), and Mehdi Haddad, Eva Boon and Yinxing Huang (17-18), under the supervision of Yannick Prié. The first version of the software was implemented by Corentin Jezequel in late 2017, under the supervision of Yannick Prié and Thomas Rabeyron.

Download the latest version at: https://github.com/yprie/uPMT/releases

Read documentation at: https://github.com/yprie/uPMT/wiki

Report bugs and ask for features at: https://github.com/yprie/uPMT/issues

See the LICENSE file for license rights and limitations (GNU GPLv3).