CoCo Challenges in ML Engineering Teams: How to Collaboratively Build ML-Enabled Systems
Mon 28 Apr 2025 11:20 - 11:40 at 212 - Doctoral Symposium 1 (Detailed Presentation)
Collaboration and Communication (CoCo) among team members while building ML-enabled systems are crucial for integrating diverse expertise. Each member brings unique skills and backgrounds, such as data science, software engineering, and domain knowledge, which are essential for the project’s success. Building an ML-enabled system by practitioners from interdisciplinary fields led to the need for CoCo between experts. This collaborative environment fosters innovation and ensures that the system works as intended. Many papers have recently identified challenges and recommendations for building ML-enabled systems among different team members, but there is a lack of implementation of these recommendations to assess their real effectiveness. Therefore, we are going to solve these problems by creating and implementing guidelines, frameworks, and systems and assisting teams in choosing techniques that are most effective for their context.
As a dedicated researcher specializing in software engineering and artificial intelligence, I delve into the intricate dynamics of teamwork and collaboration between data scientists and software engineers. My work focuses on identifying and addressing the unique challenges that arise at the intersection of these disciplines, aiming to enhance both educational methodologies and practical applications.
Sun 27 AprDisplayed time zone: Eastern Time (US & Canada) change
Mon 28 AprDisplayed time zone: Eastern Time (US & Canada) change
11:00 - 12:30 | |||
11:00 20mTalk | Optimizing Data Analytics Workflows through User-driven Experimentation: Progress and Updates Doctoral Symposium Keerthiga Rajenthiram Vrije Universiteit Amsterdam | ||
11:20 20mTalk | CoCo Challenges in ML Engineering Teams: How to Collaboratively Build ML-Enabled Systems Doctoral Symposium Aidin Azamnouri Technical University of Munich | ||
11:40 20mTalk | Towards a Privacy-by-Design Framework for ML-Enabled Systems Doctoral Symposium Yorick Sens Ruhr University Bochum | ||
12:00 20mTalk | Towards an Adoption Framework to Foster Trust in AI-Assisted Software Engineering Doctoral Symposium Marvin Muñoz Barón Technical University of Munich |