The Feminist HCI is characterized as the integration of feminist theory into HCI practice, which can occur at all stages of the design process, including user research, prototyping and evaluation. However, there is still a research gap on the integration of feminism with established HCI methods. An HCI methodology that is also concerned with human values and the possible consequences of technological artifacts is Value Sensitive Design (DSV). The present work seeks to answer how to include Feminism HCI in the HCI Project with the VSD. This research took place in the context of ELLAS Project, an Open Data platform that aims to contribute to the reduction of the gender difference in STEM in Brazil, Peru and Bolivia.

The Feminist HCI is characterized as the integration of feminist theory into HCI practice, which can occur at all stages of the design process, including user research, prototyping and evaluation. However, there is still a research gap on the integration of feminism with established HCI methods. An HCI methodology that is also concerned with human values and the possible consequences of technological artifacts is Value Sensitive Design (DSV). The present work seeks to answer how to include Feminism HCI in the HCI Project with the VSD. This research took place in the context of ELLAS Project, an Open Data platform that aims to contribute to the reduction of the gender difference in STEM in Brazil, Peru and Bolivia.

In light of the already acknowledged underrepresentation of women in Computing, the ongoing project “Latin American Open Data for Gender Equality Policies Focusing on Leadership in STEM” aims to support the implementation of institutional policies to promote gender equality in STEM. Activity 4 of this project involves mapping 1the factors, actors and policies that influence the career development and leadership of women in STEM, as well as collecting and analyzing this data. To explore these factors, both a systematic mapping study and a grey literature mapping were conducted. The results encompass 8 types of contextual factors and 196 sub-factors. Some competency questions were also raised, providing valuable data for future steps.

In light of the already acknowledged underrepresentation of women in Computing, the ongoing project “Latin American Open Data for Gender Equality Policies Focusing on Leadership in STEM” aims to support the implementation of institutional policies to promote gender equality in STEM. Activity 4 of this project involves mapping 1the factors, actors and policies that influence the career development and leadership of women in STEM, as well as collecting and analyzing this data. To explore these factors, both a systematic mapping study and a grey literature mapping were conducted. The results encompass 8 types of contextual factors and 196 sub-factors. Some competency questions were also raised, providing valuable data for future steps.