Our team

Our team

Our team

This project is coordinated by

Ivana Feldfeber

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.

Ivana Feldfeber

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.

Ivana Feldfeber

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 Belén Quiroga

Lawyer and 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.

Yasmín Belén Quiroga

Lawyer and 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.

Yasmín Belén Quiroga

Lawyer and 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

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.

Marianela Ciolfi Felice

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.

Marianela Ciolfi Felice

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.

Development of Artificial Intelligence models and APIs

Collective.ai

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. 

Collective.ai

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. 

Collective.ai

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. 

Interface design and development (UX/UI) and connection to AI

Aerolab

Product design studio focused on creating high-quality digital products.

We are more than 70 people working every day, designing user interfaces, developing excellent applications, and crafting unique illustrations.

We strive to design modern, visually appealing interfaces with a great user experience.

Aerolab

Product design studio focused on creating high-quality digital products.

We are more than 70 people working every day, designing user interfaces, developing excellent applications, and crafting unique illustrations.

We strive to design modern, visually appealing interfaces with a great user experience.

Aerolab

Product design studio focused on creating high-quality digital products.

We are more than 70 people working every day, designing user interfaces, developing excellent applications, and crafting unique illustrations.

We strive to design modern, visually appealing interfaces with a great user experience.

Data labelers

▪ Diego Scopetta

▪ Francesca Rodriguez Gerzovich (mail | linkedin)

▪ Laura Barreiro

▪ Matías Sosa

▪ Maximiliano Sosa

▪ Patricia Sandoval

▪ Santiago Bezchinsky (mail | linkedin)

▪ Zoe Rodriguez Gerzovich

Are you interested in using AymurAI?

Pantalla de la interfaz de usuario de AymurAI mostrando el formulario de validación de datos

Are you interested in using AymurAI?

Pantalla de la interfaz de usuario de AymurAI mostrando el formulario de validación de datos

Are you interested in using AymurAI?

Pantalla de la interfaz de usuario de AymurAI mostrando el formulario de validación de datos
AymurAI
DataGénero

AymurAI is a development by DataGénero

Gender Data Observatory

AymurAI
DataGénero

AymurAI is a development by DataGénero

Gender Data Observatory

AymurAI
DataGénero

AymurAI is a development by DataGénero

Gender Data Observatory