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Milagros Miceli
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2020 – today
- 2024
- [j5]Tianling Yang, Milagros Miceli:
"Guilds" as Worker Empowerment and Control in a Chinese Data Work Platform. Proc. ACM Hum. Comput. Interact. 8(CSCW2): 1-27 (2024) - 2023
- [c7]Adriana Alvarado Garcia, Marisol Wong-Villacres, Milagros Miceli, Benjamín Hernández, Christopher A. Le Dantec:
Mobilizing Social Media Data: Reflections of a Researcher Mediating between Data and Organization. CHI 2023: 866:1-866:19 - [c6]Sonja Mei Wang, Kristen M. Scott, Margarita Artemenko, Milagros Miceli, Bettina Berendt:
"We try to empower them" - Exploring Future Technologies to Support Migrant Jobseekers. FAccT 2023: 972-983 - 2022
- [j4]Milagros Miceli, Julian Posada:
The Data-Production Dispositif. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-37 (2022) - [j3]Milagros Miceli, Tianling Yang, Adriana Alvarado Garcia, Julian Posada, Sonja Mei Wang, Marc Pohl, Alex Hanna:
Documenting Data Production Processes: A Participatory Approach for Data Work. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-34 (2022) - [j2]Milagros Miceli, Julian Posada, Tianling Yang:
Studying Up Machine Learning Data: Why Talk About Bias When We Mean Power? Proc. ACM Hum. Comput. Interact. 6(GROUP): 34:1-34:14 (2022) - [c5]Adriana Alvarado Garcia, Ivana Feldfeber, Milagros Miceli, Saide Mobayed, Helena Suárez Val:
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). CHI Extended Abstracts 2022: 82:1-82:6 - [c4]Kathleen H. Pine, Claus Bossen, Naja L. Holten Møller, Milagros Miceli, Alex Jiahong Lu, Yunan Chen, Leah Horgan, Zhaoyuan Su, Gina Neff, Melissa Mazmanian:
Investigating Data Work Across Domains: New Perspectives on the Work of Creating Data. CHI Extended Abstracts 2022: 87:1-87:6 - [c3]Kristen M. Scott, Sonja Mei Wang, Milagros Miceli, Pieter Delobelle, Karolina Sztandar-Sztanderska, Bettina Berendt:
Algorithmic Tools in Public Employment Services: Towards a Jobseeker-Centric Perspective. FAccT 2022: 2138-2148 - [i5]Milagros Miceli, Julian Posada:
The Data-Production Dispositif. CoRR abs/2205.11963 (2022) - [i4]Milagros Miceli, Tianling Yang, Adriana Alvarado Garcia, Julian Posada, Sonja Mei Wang, Marc Pohl, Alex Hanna:
Documenting Data Production Processes: A Participatory Approach for Data Work. CoRR abs/2207.04958 (2022) - 2021
- [c2]Milagros Miceli, Tianling Yang, Laurens Naudts, Martin Schuessler, Diana Serbanescu, Alex Hanna:
Documenting Computer Vision Datasets: An Invitation to Reflexive Data Practices. FAccT 2021: 161-172 - [i3]Milagros Miceli, Julian Posada:
Wisdom for the Crowd: Discoursive Power in Annotation Instructions for Computer Vision. CoRR abs/2105.10990 (2021) - [i2]Milagros Miceli, Julian Posada, Tianling Yang:
Studying Up Machine Learning Data: Why Talk About Bias When We Mean Power? CoRR abs/2109.08131 (2021) - 2020
- [j1]Milagros Miceli, Martin Schuessler, Tianling Yang:
Between Subjectivity and Imposition: Power Dynamics in Data Annotation for Computer Vision. Proc. ACM Hum. Comput. Interact. 4(CSCW2): 115:1-115:25 (2020) - [c1]Gunay Kazimzade, Milagros Miceli:
Biased Priorities, Biased Outcomes: Three Recommendations for Ethics-oriented Data Annotation Practices. AIES 2020: 71 - [i1]Milagros Miceli, Martin Schuessler, Tianling Yang:
Between Subjectivity and Imposition: Power Dynamics in Data Annotation for Computer Vision. CoRR abs/2007.14886 (2020)
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