How do Data Science Workers Collaborate? Roles, Workflows, and Tools

18 January 2020

Papers citing "How do Data Science Workers Collaborate? Roles, Workflows, and Tools"

41 / 41 papers shown

Title
Assessing Collective Reasoning in Multi-Agent LLMs via Hidden Profile Tasks Yuxuan Li Aoi Naito Hirokazu Shirado LLMAG 4 0 0 15 May 2025
AI LEGO: Scaffolding Cross-Functional Collaboration in Industrial Responsible AI Practices during Early Design Stages Muzhe Wu Yanzhi Zhao Shuyi Han Michael Xieyang Liu Hong Shen 24 0 0 15 May 2025
A Catalog of Fairness-Aware Practices in Machine Learning Engineering Gianmario Voria Giulia Sellitto Carmine Ferrara Francesco Abate A. Lucia F. Ferrucci Gemma Catolino Fabio Palomba FaML 39 3 0 29 Aug 2024
SLEGO: A Collaborative Data Analytics System with LLM Recommender for Diverse Users Siu Lung Ng Hirad Rezaei F. Rabhi 31 0 0 17 Jun 2024
Towards Feature Engineering with Human and AI's Knowledge: Understanding Data Science Practitioners' Perceptions in Human&AI-Assisted Feature Engineering Design Qian Zhu Dakuo Wang Shuai Ma April Yi Wang Zixin Chen Udayan Khurana Xiaojuan Ma 50 1 0 23 May 2024
"Don't Step on My Toes": Resolving Editing Conflicts in Real-Time Collaboration in Computational Notebooks A. Wang Zihan Wu Christopher Brooks Steve Oney 18 2 0 06 Apr 2024
Towards a Non-Ideal Methodological Framework for Responsible ML Ramaravind Kommiya Mothilal Shion Guha Syed Ishtiaque Ahmed 56 7 0 20 Jan 2024
Make It Make Sense! Understanding and Facilitating Sensemaking in Computational Notebooks Souti Chattopadhyay Zixuan Feng Emily Arteaga Audrey Au Gonzalo Ramos Titus Barik Anita Sarma 31 2 0 18 Dec 2023
Investigating Collaborative Data Practices: a Case Study on Artificial Intelligence for Healthcare Research R. Henkin Elizabeth Remfry Duncan J. Reynolds M. Clinch Michael R. Barnes 30 1 0 30 Nov 2023
Ground Truth Or Dare: Factors Affecting The Creation Of Medical Datasets For Training AI H. D. Zając Natalia-Rozalia Avlona T. O. Andersen F. Kensing Irina Shklovski 27 17 0 12 Aug 2023
Machine Learning practices and infrastructures G. Berman 20 3 0 13 Jul 2023
Why is AI not a Panacea for Data Workers? An Interview Study on Human-AI Collaboration in Data Storytelling Haotian Li Yun Wang Q. V. Liao Huamin Qu 63 23 0 17 Apr 2023
DASS Good: Explainable Data Mining of Spatial Cohort Data A. Wentzel Carla Floricel G. Canahuate Mohamed A.Naser A. Mohamed Clifton Fuller L. V. Dijk G. Marai OOD 28 5 0 10 Apr 2023
Tracing and Visualizing Human-ML/AI Collaborative Processes through Artifacts of Data Work Jennifer Rogers Anamaria Crisan 29 7 0 05 Apr 2023
DataPilot: Utilizing Quality and Usage Information for Subset Selection during Visual Data Preparation Arpit Narechania F. Du Atanu R. Sinha Ryan A. Rossi Jane Hoffswell Shunan Guo E. Koh S. Navathe Alex Endert 22 9 0 02 Mar 2023
Safe-DS: A Domain Specific Language to Make Data Science Safe Lars Reimann Günter Kniesel-Wünsche 11 4 0 28 Feb 2023
Investigating How Practitioners Use Human-AI Guidelines: A Case Study on the People + AI Guidebook Nur Yildirim Mahima Pushkarna Nitesh Goyal Martin Wattenberg Fernanda Viégas 49 67 0 28 Jan 2023
The Grind for Good Data: Understanding ML Practitioners' Struggles and Aspirations in Making Good Data Inha Cha Juhyun Oh Cheul Young Park Jiyoon Han Hwalsuk Lee 29 2 0 28 Nov 2022
How Do Data Science Workers Communicate Intermediate Results? Rock Yuren Pang Ruotong Wang Joely Nelson Leilani Battle 38 5 0 07 Oct 2022
Requirements Engineering for Machine Learning: A Review and Reflection Zhong Pei Lin Liu Chen Wang Jianmin Wang VLM 40 22 0 03 Oct 2022
Operationalizing Machine Learning: An Interview Study Shreya Shankar Rolando Garcia J. M. Hellerstein Aditya G. Parameswaran 71 51 0 16 Sep 2022
"Is It My Turn?" Assessing Teamwork and Taskwork in Collaborative Immersive Analytics Michaela Benk Raphael P. Weibel Stefan Feuerriegel Andrea Ferrario 28 3 0 09 Aug 2022
Telling Stories from Computational Notebooks: AI-Assisted Presentation Slides Creation for Presenting Data Science Work Chengbo Zheng Dakuo Wang A. Wang Xiaojuan Ma 22 52 0 21 Mar 2022
Eliciting Best Practices for Collaboration with Computational Notebooks L. Quaranta Fabio Calefato F. Lanubile 16 21 0 15 Feb 2022
The craft and coordination of data curation: complicating "workflow" views of data science A. Thomer Dharma Akmon J. York Allison R. B. Tyler Faye O. Polasek Sara Lafia Libby Hemphill E. Yakel 18 20 0 09 Feb 2022
Evaluating a Methodology for Increasing AI Transparency: A Case Study David Piorkowski John T. Richards Michael Hind 43 5 0 24 Jan 2022
GAM Changer: Editing Generalized Additive Models with Interactive Visualization Zijie J. Wang Alex Kale Harsha Nori P. Stella M. Nunnally Duen Horng Chau Mihaela Vorvoreanu Jennifer Wortman Vaughan R. Caruana KELM 19 24 0 06 Dec 2021
Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process Nadia Nahar Shurui Zhou Grace A. Lewis Christian Kastner VLM 45 127 0 19 Oct 2021
Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development Aspen K. Hopkins Serena Booth 29 45 0 06 Oct 2021
Dr.Aid: Supporting Data-governance Rule Compliance for Decentralized Collaboration in an Automated Way Rui Zhao M. Atkinson P. Papapanagiotou F. Magnoni Jacques D. Fleuriot 19 3 0 03 Oct 2021
Studying Up Machine Learning Data: Why Talk About Bias When We Mean Power? Milagros Miceli Julian Posada Tianling Yang 22 60 0 16 Sep 2021
From Jam Session to Recital: Synchronous Communication and Collaboration Around Data in Organizations M. Brehmer Robert Kosara 9 33 0 19 Jul 2021
Untidy Data: The Unreasonable Effectiveness of Tables L. Bartram M. Correll Melanie Tory LMTD 8 43 0 28 Jun 2021
Documentation Matters: Human-Centered AI System to Assist Data Science Code Documentation in Computational Notebooks A. Wang Dakuo Wang Jaimie Drozdal Michael J. Muller Soya Park Justin D. Weisz Xuye Liu Lingfei Wu Casey Dugan 55 63 0 24 Feb 2021
Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models Soya Park A. Wang B. Kawas Q. V. Liao David Piorkowski Marina Danilevsky 62 55 0 29 Jan 2021
How AI Developers Overcome Communication Challenges in a Multidisciplinary Team: A Case Study David Piorkowski Soya Park A. Wang Dakuo Wang Michael J. Muller Felix Portnoy 38 131 0 13 Jan 2021
Guidelines For Pursuing and Revealing Data Abstractions Alex Bigelow Katy Williams Kate Isaacs 6 8 0 08 May 2020
Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs Sungsoo Ray Hong Jessica Hullman E. Bertini HAI 11 191 0 23 Apr 2020
Trust in Data Science: Collaboration, Translation, and Accountability in Corporate Data Science Projects Samir Passi S. Jackson 171 108 0 09 Feb 2020
Data Vision: Learning to See Through Algorithmic Abstraction Samir Passi S. Jackson 137 111 0 09 Feb 2020
Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI Dakuo Wang Justin D. Weisz Michael J. Muller Parikshit Ram Werner Geyer Casey Dugan Y. Tausczik Horst Samulowitz Alexander G. Gray 178 308 0 05 Sep 2019