Using a Human-AI Teaming Approach to Create and Curate Scientific Datasets with the SCILIRE System
Using a Human-AI Teaming Approach to Create and Curate Scientific Datasets with the SCILIRE System explores SCILIRE is a Human-AI system that enhances the creation and curation of scientific datasets through iterative workflows.. Commercial viability score: 6/10 in Scientific Dataset Creation.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $9K - $13K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisSci-Reasoning: A Dataset Decoding AI Innovation PatternsViability: 5.0
- Builds On ThisUnderstanding Usage and Engagement in AI-Powered Scientific Research Tools: The Asta Interaction DatasetViability: 5.0
- Builds On ThisFrom Labor to Collaboration: A Methodological Experiment Using AI Agents to Augment Research Perspectives in Taiwan's Humanities and Social SciencesViability: 5.0
- Builds On ThisMore Than "Means to an End": Supporting Reasoning with Transparently Designed AI Data Science ProcessesViability: 3.0
- Higher ViabilityTowards a Medical AI Scientist