MATILDA: Inclusive Data Science Pipelines Design through Computational Creativity
Genoveva Vargas-Solar, Santiago Negrete-Yankelevich, Javier A., Espinosa-Oviedo, Khalid Belhajjame, Jos\'e-Luis Zechinelli-Martini

TL;DR
MATILDA is a novel platform that combines computational creativity and conversational computing to make data science pipeline design accessible and intuitive for non-technical users across disciplines.
Contribution
This paper introduces MATILDA, a new creativity-based platform that democratizes data science pipeline design for non-specialists using innovative computational and conversational techniques.
Findings
Supports intuitive data science pipeline design for non-technical users
Integrates computational creativity with conversational interfaces
Facilitates exploration and knowledge extraction from data
Abstract
We argue for the need for a new generation of data science solutions that can democratize recent advances in data engineering and artificial intelligence for non-technical users from various disciplines, enabling them to unlock the full potential of these solutions. To do so, we adopt an approach whereby computational creativity and conversational computing are combined to guide non-specialists intuitively to explore and extract knowledge from data collections. The paper introduces MATILDA, a creativity-based data science design platform, showing how it can support the design process of data science pipelines guided by human and computational creativity.
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Taxonomy
TopicsData Visualization and Analytics · Innovative Human-Technology Interaction · Music Technology and Sound Studies
