Using data to investigate inequality, and building a network to find solutions

This article highlights how the Data Lens datathon in Mongolia leveraged open data to expose and address deep-seated urban inequalities in Ulaanbaatar. By analyzing air quality, transportation, and educational access, participants revealed stark disparities between the impoverished ger districts and the city center. The findings demonstrated that children in marginalized areas face significantly higher indoor pollution levels due to inadequate infrastructure, while public transport systems are severely overloaded by commuters traveling from underserved outskirts to the center. The narrative emphasizes that open data is not merely about collection but serves as a critical tool for diagnosing systemic failures and proposing actionable solutions. Teams identified that educational resource inequality drives traffic congestion, as families travel to distant, high-performing schools. Consequently, the datathon moved beyond observation to suggest concrete improvements, such as redistributing bus routes and installing more stops in peripheral areas, thereby showing how data transparency can directly inform policy and urban planning decisions. This initiative is particularly relevant to the open data movement because it illustrates its power to build community and foster collaboration among diverse stakeholders, including journalists, students, and government officials. By bringing together a fragmented data ecosystem, the event promoted knowledge sharing and partnership, proving that open data can bridge social divides. Ultimately, the article underscores the importance of inclusive data practices in tackling societal challenges and encouraging sustainable, equitable urban development.

Source: source.opennews.org
Published on 2023-04-22

Troubled Ohio Guard Has Seemingly Failed to Conduct Key Oversight of Its Units for Years »

Open Data

Related news