An introductory seminar on data transfeminism

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What do we talk about when we talk about data (trans)feminism?

Data (trans)feminism is a theoretical and political way of fighting in the field of data production against cis-sexism, racism and colonialism, using strategies contributed by various feminist currents throughout history. Throughout this course, theoretical and practical dimensions are developed for working with data from a transfeminist and intersectional approach.

Goals:

Provide an introduction to the concept of data (trans)feminism and its importance in combating cis-sexism, racism and colonialism in data production.

Raise awareness about the importance of considering intersectionality in working with data, recognizing the multiple dimensions of oppression and privilege and the need to address them comprehensively in the fight for gender equality.

Promote debate and critical reflection on the role of data in the reproduction of gender inequalities and promote the development of more inclusive and fair practices in the use of data.

Develop theoretical and practical skills for working with data and interpreting results from a feminist approach.

Provide resources and practical tools for the design and execution of research projects with a feminist data approach.

Promote collaboration and exchange of experiences among participants, creating a space for learning and mutual support for the development of projects related to data feminism.

Contents:

Unit 1: introduction

• What is data feminism
• Principles of data feminism
• Data feminism in Latin America
• Data transfeminism: LGBTI+ data

Unit 2: intersectionality and decoloniality

• The intersectional perspective in data feminism
• The race-class-gender triad in data production
• Decolonial feminism, a Latin American perspective
• Racialized identities: and their data?

Unit 3: experiences and contributions

 

Course days and times: Wednesday from 6:00 p.m. to 8:00 p.m. (GTM-3)

Course modality: synchronously via Zoom.

Start: September 20 | Ending: November 15

Teaching team

Mailén García | Graduate in Sociology (UNMDP) and Master in Human Rights and Democratization in Latin America and the Caribbean (UNSAM). Co-founder and general director of DataGénero, a civil association. She is a consultant specializing in statistics with a gender perspective and is a professor at the University of Buenos Aires and the National University of Mar del Plata. Coordinator of the Spanish translation of Data Feminism by Catherine D' Ignazio and Lauren Klein.

Manu Mireles | Migrant queer, non-binary trans activist, Co-founder and Secretary of Mocha Celis, teacher/researcher UBA and UNTREF.

Lucía Fuster Pravato | Feminist militant. Graduate in Sociology (UBA), Specialist in Management and Planning of Social Policies and Master in Interdisciplinary Studies of Subjectivity.

Eugenia Figueroa | Community Feminist and Antiracist. Indigenous Communicator. Territorial activist for the rights of indigenous peoples.