Coordinated PhD Seminars

The DIGEST project launches in its second year, and with a vocation for continuity, a program of joint doctoral seminars within the framework of digitalization with a broad perspective, which we trust will be useful not only for doctoral students directly involved in DIGEST but also for students with similar interests, and in general for other researchers in training. We intend to offer knowledge that is not in usual doctorate courses and could be useful for PhD candidates.

The different seminars will be announced on this website and also via the promotion mechanisms of the different participating universities and consortiums. Our objective is to offer one seminar per quarter all year, with dates decided about three months ahead of time. Each seminar is divided in two parts: the first, where one or two candidates will present their research and discuss what they are spending their time on; the second, where the speaker will present a topic. Participants will be provided with an attending certificate.  

This initiative is created in coordination with the following doctoral programs: Doctorate in Engineering Management or DIO (UPM), Mechanical and Industrial Organization Engineering or IMOI (US), Doctorate in Economics and Innovation Management or DEGIN (UPM).

Find the complete list of PhD Seminars below.

Date

Title

Speaker

Link

Evidences

July 06th, 2026

 

From interviews to insights: Coding, annotation, and text analysis for semi-qualitative research

 

See here

May 05th, 2026

 

Smarter models, better decisions: A practical introduction to ML, DL, TL, and RL

 

See here

January 12th, 2026

 

Generative AI: The convenient assistant for research

 

November 20th, 2025

 

Algoritmo de generación de columnas: Aplicación a problemas de corte unidimensional

 

November 6th, 2025

 

BibNOTES. El método de investigación documental

 

October 2nd, 2025

 

Diseño y gestión de gemelos digitales de activos y su mantenimiento (I)

 

June 11th, 2025

 

Systematic literature reviews: Why, when, and how to do it?