Milagros Miceli

Orcid: 0000-0003-0585-3072

According to our database1, Milagros Miceli authored at least 12 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
"We try to empower them" - Exploring Future Technologies to Support Migrant Jobseekers.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Mobilizing Social Media Data: Reflections of a Researcher Mediating between Data and Organization.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
Documenting Data Production Processes: A Participatory Approach for Data Work.
Proc. ACM Hum. Comput. Interact., 2022

Studying Up Machine Learning Data: Why Talk About Bias When We Mean Power?
Proc. ACM Hum. Comput. Interact., 2022

The Data-Production Dispositif.
Proc. ACM Hum. Comput. Interact., 2022

Algorithmic Tools in Public Employment Services: Towards a Jobseeker-Centric Perspective.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Investigating Data Work Across Domains: New Perspectives on the Work of Creating Data.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Crossing Data: Building Bridges with Activist and Academic Practices from and for Latin America (Cruzar datos: Tendiendo Puentes con Prácticas Activistas y Académicas desde y para América Latina).
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021
Wisdom for the Crowd: Discoursive Power in Annotation Instructions for Computer Vision.
CoRR, 2021

Documenting Computer Vision Datasets: An Invitation to Reflexive Data Practices.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

2020
Between Subjectivity and Imposition: Power Dynamics in Data Annotation for Computer Vision.
Proc. ACM Hum. Comput. Interact., 2020

Biased Priorities, Biased Outcomes: Three Recommendations for Ethics-oriented Data Annotation Practices.
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020


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