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General AI Systems and Interaction Design / Scientific Anomaly Detection and Causal Analysis Support

Scientists struggle to analyze Martian geochemical data with existing anomaly detection tools.

lightbulbPractical problemScientific Anomaly Detection and Causal Analysis Support

Scientists struggle to analyze Martian geochemical data with existing anomaly detection tools.

IUI '23Lessons from the Development of an Anomaly Detection Interface on the Mars Perseverance Rover using the ISHMAP Framework

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lightbulbPractical problemScientific Anomaly Detection and Causal Analysis Support

Data scientists are inefficient and error-prone when handling complex data cleaning tasks.

CHI '25Dango: A Mixed-Initiative Data Wrangling System using Large Language Model

lightbulbPractical problemScientific Anomaly Detection and Causal Analysis Support

Marine scientists lack coherent, easy-to-use software tools, affecting collaboration and efficiency.

CHI '25Understanding Marine Scientist Software Tool Use

lightbulbPractical problemScientific Anomaly Detection and Causal Analysis Support

Data scientists struggle to efficiently perform nonlinear exploration and rollback on complex tasks.

CHI '25Enhancing Computational Notebooks with Code+Data Space Versioning

lightbulbPractical problemScientific Anomaly Detection and Causal Analysis Support

Data scientists lack ethics training tools for real work scenarios, causing ethical discussions to be disconnected from practice.

CHI '24Data Ethics Emergency Drill: A Toolbox for Discussing Responsible AI for Industry Teams

lightbulbPractical problemScientific Anomaly Detection and Causal Analysis Support

Data scientists struggle to rapidly acquire domain knowledge, lowering machine learning development efficiency.

IUI '21Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models

lightbulbPractical problemScientific Anomaly Detection and Causal Analysis Support

Data scientists find existing tools complex and inefficient for task handling.

CHI '21Glinda: Supporting Data Science with Live Programming, GUIs and a Domain-specific Language

Related papers

Dango: A Mixed-Initiative Data Wrangling System using Large Language Model

Wei-Hao Chen, Weixi Tong, Amanda Case

Understanding Marine Scientist Software Tool Use

Matthew Lakier, Andrew Irwin, Daniel Vogel

Enhancing Computational Notebooks with Code+Data Space Versioning

Hanxi Fang, Supawit Chockchowwat, Hari Sundaram

Data Ethics Emergency Drill: A Toolbox for Discussing Responsible AI for Industry Teams

Vanessa Aisyahsari Hanschke, Dylan Rees, Merve Alanyali

Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models

Soya Park, April Yi Wang, Ban Kawas

Glinda: Supporting Data Science with Live Programming, GUIs and a Domain-specific Language

Robert A DeLine