Skip to content
#

research-workflow-optimization

Star

Here are 2 public repositories matching this topic...

chigwell / archaeo-summarizer

Sponsor
Star 1

archaeo-summarizer extracts structured summaries from archaeological and historical texts, highlighting key findings and cultural developments for efficient research.

textual-data-processing language-model-integration structured-summary-extraction archaeological-research-tools historical-text-analysis concise-narrative-summarization key-findings-identification cultural-development-analysis migration-pattern-extraction standardized-research-outputs digestible-research-summaries cross-study-data-comparison interdisciplinary-historical-analysis neolithic-studies-automation text-based-research-automation privacy-preserving-data-processing data-safety-for-sensitive-research textual-data-standardization ai-assisted-historical-research research-workflow-optimization
  • Updated Dec 21, 2025
  • Python

synesis-lang / synesis

Star 0

Synesis is a Domain-Specific Language (DSL) compiler that transforms qualitative research annotations into canonical knowledge structures.

compiler reproducible-science knowledge-graph digital-humanities domain-specific-language semantic-annotation qualitative-research research-toolbox ontology-driven-conceptual-modeling decision-making-tools academic-software structured-knowledge research-workflow-optimization synesis sysnesis-language
  • Updated Jan 23, 2026
  • Python

Improve this page

Add a description, image, and links to the research-workflow-optimization topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the research-workflow-optimization topic, visit your repo's landing page and select "manage topics."

Learn more