Biodiversity loss is accelerating worldwide, with species disappearing at unprecedented rates. Yet, despite sophisticated scientific models that quantify extinction risks, many conservationists and policymakers lack user-friendly tools to translate this data into actionable decisions. Existing solutions—often complex scripts or academic tools—require programming skills, leaving a gap between research and real-world application.

A No-Code Conservation Decision Tool

One way to bridge this gap would be to convert existing extinction risk models (like those used in Jupyter Notebooks) into an interactive web platform. Users could adjust variables—such as funding levels, habitat restoration rates, or species survival probabilities—using simple sliders and dropdowns. The tool would instantly visualize how these changes affect outcomes like extinction risk or cost-effectiveness, hiding the underlying code while preserving scientific rigor. Key features might include:

• Preloaded scenarios for well-known endangered species or ecosystems
• Exportable reports to justify funding requests or policy proposals
• A "policy mode" with simplified inputs for time-constrained decision-makers

Aligning Stakeholder Needs

Such a tool could serve multiple groups:

• NGOs could demonstrate impact to donors or compare intervention strategies
• Governments might evaluate trade-offs between approaches like habitat protection vs. captive breeding
• Researchers could use it to rapidly test theories without coding

Funding could come from freemium models (basic features free, advanced tools paid) or partnerships with research institutions that value public-good tools.

From Prototype to Impact

A minimal version could start with a single-species model built using open-source frameworks like Streamlit, then expand based on user feedback. Early adopters—perhaps a conservation NGO—could help refine scenarios. Over time, integrating databases like the IUCN Red List would allow broader applications while maintaining accessibility for non-experts.

By making extinction risk modeling as intuitive as adjusting smartphone settings, this tool could help turn complex science into tangible conservation wins.