GENDASH NETWORK

“Gender and Data Science in Sports and Health (GENDASH)” is a Spanish network of researchers funded by the High Council of Sports (CSD) of the Spanish Ministry of Culture and Sport (Ref. 02/UPR/21). It provides continuity to the ANALYTICS@SPORTS & HEALTH (Data Science and Information Technologies Applied to Sports and Health) and SHARP (Sports and Health Analytics Research with a Gender Perspective) networks, funded by the Spanish Ministry of Culture and Sport in 2019 and 2020, respectively. The main objective of the GENDASH network is to develop research and knowledge transfer actions that, aligned with various sustainable development goals, are aimed at:

Providing evidence on the situation of women in sports and the promotion of healthy habits through various analytical methodologies such as data science.
Exploring new lines of research that contribute to a better understanding of the problem.
Identifying good practices that inspire recommendations to reduce gender inequalities in nutrition, physical activity, and sport.

As a multidisciplinary network, it brings together a group of researchers and professionals from diverse disciplines linked to the study of the bidirectional relationship between health and well-being through sports activity with a gender perspective. The GENDASH network incorporates data science for a better diagnosis and analysis of the situation and the problems that arise and addresses issues related to gender inequalities in sports and physical activity.

The GENDASH network is lead by Milagros Sáinz as principal investigator and coordinated by three research groups at Universitat Oberta de Catalunya: GenTIC and ICSO at the Internet Interdisciplinary Institute (IN3) and FoodLab at the UOC Faculty of Health Sciences.

Start date: 01 January 2021 – End date: 11 November 2021

Research groups integrating the GENDASH network:

Universitat Oberta de Catalunya (UOC)

Gender and ICT (GenTIC)

FoodLab

ICSO

Universitat de Vic – Universitat Central de Catalunya

Sport Performance Analysis Research Group (SPARG)

Universidad Francisco de Vitoria (UFV)

Fisiología del Ejercicio

Universitat Politècnica de València (UPV)

UPV Statistics