Gopi Malathi
PhD Student, NYU Tandon School of Engineering
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I'm a PhD student with a background in urban planning, civic technology, and GIS. I research how online and offline communities use digital maps and geospatial technologies to collaboratively create, verify, maintain, and use data.
Mapping at the Speed of AI: Balancing Efficiency, Agency, and Engagement in OpenStreetMap
While accelerating data production and scale, AI-assisted tools like Rapid and fAIr are also shifting the contributors' role from manual digitization to validation. Does this efficiency come at the cost of contributors' agency or local knowledge?
This poster introduces an ongoing study about how algorithmic assistance reshapes contributor identity, practices, and collaboration in OSM. We will present initial findings that motivate the study and invite community members to participate in it.
The Social Life of Data Quality in OSM
OSM data quality evaluations typically focus on measuring the accuracy and usability of the data. But how do contributors with diverse backgrounds, skills, and interests collectively decide what "good quality" data actually looks like?
This session shares a study showing (1) how data quality is shaped by sub-group dynamics, local context, and personal values, and (2) how navigating data quality conventions helps contributors build expertise and belonging within the community.
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