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OpenADS_LifeSearch v2.0 🌌

Advanced Astro~Complexity, Semantic Parsing, and Paradigmatic Prioritization Framework
Hosted and maintained by Facundo Firmenich.

Open Science Python 3.8+ License: GPL v3 Analysis Status

Overview

OpenADS_LifeSearch v2.0 represents a paradigm shift in machine~driven astrobiology prioritization. Built to operationalize the concepts of Operational Paradigmatic Inertia and Scientific Return on Investment (SROI), this toolkit provides the exact methodology used to demonstrate that Enceladus (0.58 pubs/$M) maintains nearly 2x the scientific return of Mars programs (0.31 pubs/$M).

Fully aligned with Open Science principles, the toolkit bypasses complex web scrapers via the NASA ADS API, enabling reproducible extraction of evidence signals from over 20 years of planetary research.

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🛠 Framework Components

1. Open ADS Complexity Toolkit (open_ads_complexity_toolkit.py)

A mathematically rigorous engine bridging the ADS API with Spectral Graph Theory.

  • Lexical Graph Nodal Centrality: Extracts "research gravity wells" via Eigenvector Centrality.
  • Bayesian Epistemic Filtering: Automatically flags "Missing Links" in astrobiology through Pointwise Mutual Information (PMI).
  • Efficiency Metrics: Directly computes community productivity (fractional counts/FTE).

2. Open Decadal NLP Toolkit (open_decadal_nlp_toolkit.py)

A semantic stratigraphy parser optimized for the 2023–2032 Decadal Survey.

  • Lexical Density Mapping: Identifies the decoupling between target mentions and bibliographic impact.
  • Spearman Rho Validation: Quantifies the alignment (or lack thereof) between policy emphasis and emergent evidence.

3. Astro-Priority SMAA-2 Engine (Supplementary)

The repository includes the ASTRO-PRIORITY framework, a stochastic multi-criteria model (SMAA-2) capable of simulating priority shifts (e.g., Europa's 68% dominance under Decadal weights).

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📄 Associated Research Publications

This software is the primary methodology for:

  1. Firmenich et al. (2026): Quantitative Evidence Landscapes for Astrobiology Target Prioritization. (Venus Paradox & Bootstrap CIs).
  2. Firmenich et al. (2026): Path Dependence or Rational Sequencing? SMAA-2 Analysis of Science Resource Allocation. (Operational Paradigmatic Inertia).

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⚙️ Installation & Setup

  1. Clone & Install:

    git clone https://github.com/FacundoFirmenich/OpenADS_LifeSearch.git
    pip install -r requirements.txt
  2. NASA ADS Access: The toolkit includes a Pre-Configured Shared Token for immediate accessibility. For professional/high-volume use, acquire a custom token at NASA ADS Settings and export it:

    export ADS_DEV_KEY="your_api_token_here"

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🚀 Usage

# Analyze Research Gravity Wells
python open_ads_complexity_toolkit.py

# Map Policy Emphasis
python open_decadal_nlp_toolkit.py

Developed under maximum methodological rigor for the advancement of Planetary Science and Science Policy. ion~Making fields.*

About

Advanced Astro~Complexity and Bayesian Discovery Framework bridging NASA ADS and the Decadal Survey. Pure OOP "one shot" NLP and Graph Theory scripts ready for deep execution in Google Colab, Agentic IDEs, and local terminals.

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