DataGénero is the first Gender Data Observatory in our region. Since March of 2022, the observatory has been working in AymurAI, researching on the uses of Artificial Intelligence that can enhance the struggles of cis women and LGBTIQ+ people. DataGénero's diagnosis is that in Latin America there is a lack of data on gender inequalities in various fields.
With the support of Women at the table, A+ Alliance and the Tecnológico de Costa Rica, along with the collaboration of groups and software cooperatives, we managed to develop AymurAI, a computer program based on Artificial Intelligence, which aims to help the judiciary to collect and make available data on gender violence.
Ivana Feldfeber Ivana Feldfeber is an expert in data science and social impact. She is a skilled and passionate professional based in Bariloche, Argentina. She is the co-founder and Executive Directress of the first Gender Data Observatory in Latin America, "DataGénero." She was also a research fellow and team leader at the Center of Artificial Intelligence and Digital Policy. Ivana holds a postgraduate diploma in Data Science, Machine Learning, and its Applications from the Universidad de Córdoba, Argentina. With DataGénero, Ivana worked with several governments and companies to build inclusive data processes, train teams, write recommendations and help decision-makers to make better data policies.
Yasmín Quiroga
yasmin@datagenero.org | linkedin | twitter
Yasmín Belén Quiroga is a lawyer an a data analyst specializing in gender and law. She works as secretary of the Criminal Court 10 of the City of Buenos Aires. She is co-founder and director of institutional development of the first Observatory of Gender Data in Latin America, "DataGénero". She has been working for more than six years on the principles of open government applied to the Judiciary, specifically transparency, innovation, open gender-sensitive data and the application of clear language in judicial decisions.
Marianela Ciolfi Felice
mail | twitter
Marianela Ciolfi Felice is an Assistant Professor from Argentina. She grew up in Argentina, where she studied Systems Engineering. Marianela then moved to France to pursue a Masters degree in Human-Computer Interaction, and later a PhD in Computer Science, with focus on creativity support. She is currently a tenure track Assistant Professor in Interaction Design in Sweden, building upon her work as a postdoctoral researcher in the area of Feminist HCI. Marianela's research interests combine AI, soma design, and critical feminist computing. She collaborates with NGOs and activists in Latin America on projects related to Data Feminism.
Collective.ai is an organization with a collaborative spirit that seeks to address complex problems. Collective.ai was created as an alternative to individualization, recognizing that working together and sharing ideas is the best way to find solutions to today's problems. Its goal is to design, develop and deploy Deep Learning solutions. Its members are committed to creating a better future for all, using technology to increase the efficiency and transparency of decision making in organizations.