This post was originally posted on Medium.

Data plays a crucial role in highlighting disparities and injustices that marginalized communities face. For example, in the United States, data on police violence against Black people has been instrumental in mobilizing movements like Black Lives Matter. Through data collection and analysis, activists have been able to expose inequalities such as the disproportionate use of force against Black people by the police, sparking nationwide calls for police reform and accountability.

Similarly, in Nigeria, data has been instrumental in advocating for social justice and accountability. During the #EndSARS protests in 2020, Nigerian youth utilized social media platforms to document and share instances of police brutality and corruption. By collecting and disseminating data on human rights abuses, protesters were able to amplify their demands for an end to police violence and systemic injustice. The widespread use of data-driven advocacy helped galvanize international support for the movement and pressured the Nigerian government to take action.

However, while data has the potential to drive positive change, it also comes with challenges and risks. The misuse of data can perpetuate harmful stereotypes and reinforce existing power dynamics. Surveillance technologies, for example, disproportionately target marginalized communities, leading to increased policing and surveillance.

To harness the power of data for social justice, it’s essential to prioritize ethical data practices and centre the voices of those most affected by injustice. This means actively involving communities in the collection, analysis, and interpretation of data, ensuring that their perspectives are accurately represented.

Furthermore, we must challenge the notion of data as the ultimate arbiter of truth. As Benjamin argues, data doesn’t exist in a vacuum — it reflects the values and priorities of those who collect and interpret it. By interrogating the sources of data and the methodologies used, we can uncover underlying biases and advocate for more inclusive and equitable data practices.

In conclusion, data is a vital tool in the fight for social justice, but it’s not without its complexities. By critically examining data and amplifying marginalized voices, we can leverage its power to create a more just and equitable world for all.