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title: Data Feminism - Introduction

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# Introduction 
Data Feminism explores the intricate relationship between data science and feminism. We understand that data collection goes beyond being a technical process, but it’s also an assertion of power and there should be a shift in how we approach, interpret and utilize data in the pursuit of equity and social justice.

>🎯 “…anti-oppression work is never finished, but […] there is joy in the struggle, even when so much struggle is to take responsibility for one’s own position within the matrix of domination.” 
*D’Ignazio, C., & Klein, L. (2020). Acknowledgments. In Data Feminism. Retrieved from https://data-feminism.mitpress.mit.edu/pub/f8vw7hhr*

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## Data is Power
The accumulation and control of data can shape narratives, influence decisions and impact societal structures. This raises the question of who collects data, what data is collected, and how it is used. There may be potential biases and power imbalances inherent in these processes, and it’s important that attention is raised and these processes are reviewed and restructured. 

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## Challenging Binary Classifications
There is a need for more nuanced and inclusive approaches towards classifications. By contesting the male/female binary and hierarchical classification systems, data science practices and tools can offer more equitable representation and consideration of diverse identities. 

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## Legacy of Feminist Activism and Critical Thought
Feminist perspectives can enrich data science by ensuring it serves the cause of social justice. This emphasizes the importance of critical thinking in questioning dominant data narratives and advocating for marginalised voices. 

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## Summary
As we highlighted earlier, the anti-oppression work is an ongoing journey and is one that involves acknowledging our position within the [matrix of domination](https://data-feminism.mitpress.mit.edu/pub/vi8obxh7#nkiyehtj87r). Despite the challenges that exist, we can embrace joy and fulfilment by actively participating in this struggle. We can all be data feminists and play a role in reshaping our understanding and use of data towards a more equitable world. 