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20242026
most citedMachine Learning Data Practices through a Data Curation Lens: An Evaluation Framework

12 citations · 20 across the 9 of their papers we have counts for

collaborators

9 papers

cs.HC2026

Humour as Resistance: Visceralizing the Environmental and Social Impact of AI through Humour-based Creative Practices

Han Qiao, Rowan O. A. Munson, Nadia Mariyan Smith +2

The growth of AI does not come without cost. While we hear about the economic costs, the environmental and social costs are often obfuscated by mainstream narratives, and even when…

cs.CY2026

Plateau That Never Comes: When Efficiency Claims in Datacenters and AI Become Greenwashing

Harshit Gujral, Eshta Bhardwaj, Dushani Perera +2

Datacenter expansion under generative AI is increasingly framed as compatible with sustainability because of efficiency gains, cleaner electricity procurement, and improved facilit…

cs.CY2026

Evaluating Structured Documentation as a Tool for Reflexivity in Dataset Development

Eshta Bhardwaj, Ciara Zogheib, Christoph Becker

It is prominently recognized that dataset development in machine learning is a value-laden process from problem formulation to data processing, use, and reuse. Structured documenta…

cs.CY2025

Exploring the Viability of the Updated World3 Model for Examining the Impact of Computing on Planetary Boundaries

Nara Guliyeva, Eshta Bhardwaj, Christoph Becker

The influential Limits to Growth report introduced a system dynamics-based model to demonstrate global dynamics of the world's population, industry, natural resources, agriculture,…

cs.HC2025

Limits at a Distance: Design Directions to Address Psychological Distance in Policy Decisions Affecting Planetary Boundaries

Eshta Bhardwaj, Han Qiao, Christoph Becker

Policy decisions relevant to the environment rely on tools like dashboards, risk models, and prediction models to provide information and data visualizations that enable decision-m…

cs.CY2025★ 3 cited

Limits to AI Growth: The Ecological and Social Consequences of Scaling

Eshta Bhardwaj, Rohan Alexander, Christoph Becker

The accelerating development and deployment of AI technologies depend on the continued ability to scale their infrastructure. This has implied increasing amounts of monetary invest…

cs.HC2025★ 5 cited

"Near Data" and "Far Data" for Urban Sustainability: How Do Community Advocates Envision Data Intermediaries?

Han Qiao, Siyi Wu, Christoph Becker

In the densifying data ecosystem of today's cities, data intermediaries are crucial stakeholders in facilitating data access and use. Community advocates live in these sites of soc…

cs.CY2024

The State of Data Curation at NeurIPS: An Assessment of Dataset Development Practices in the Datasets and Benchmarks Track

Eshta Bhardwaj, Harshit Gujral, Siyi Wu +3

Data curation is a field with origins in librarianship and archives, whose scholarship and thinking on data issues go back centuries, if not millennia. The field of machine learnin…

cs.CY2024★ 12 cited

Machine Learning Data Practices through a Data Curation Lens: An Evaluation Framework

Eshta Bhardwaj, Harshit Gujral, Siyi Wu +3

Studies of dataset development in machine learning call for greater attention to the data practices that make model development possible and shape its outcomes. Many argue that the…