chatMPA: AI Marine Protection Assistant

Transforming Science into Conservation Action

ChatMPA Overview

Bridging Science and Policy

Problem Statement

Marine conservation faces a critical challenge: the gap between cutting-edge scientific research and effective, timely decision-making. Policymakers, marine park managers, and local communities often struggle to access and interpret complex data necessary for informed action. Traditional communication methods fail to bridge this divide, leading to delayed responses, inefficiencies in protected area management, and missed conservation opportunities.

Intervention: The Role of ChatMPA

ChatMPA is an AI-driven platform designed to revolutionize how marine science is communicated and applied. It translates complex scientific findings into accessible, actionable knowledge through multiple formats—written, audio, and video—tailored to diverse audiences. The core innovation of ChatMPA lies in its intelligent agents, which do not merely disseminate information but actively interpret, contextualize, and propose science-based policy changes and concrete management actions.

ChatMPA functions as an interactive, decision-support system that integrates real-time data, predictive analytics, and expert-driven insights. By doing so, it empowers stakeholders—government agencies, conservation organizations, researchers, and local communities—to make informed decisions that drive measurable conservation outcomes.

Key Outputs

  • Automated Science Translation: ChatMPA distills complex ecological and policy-relevant information into digestible, user-friendly formats.
  • Multi-Format Knowledge Dissemination: The platform delivers information in reports, audio briefings, and visual media to maximize accessibility.
  • AI-Driven Decision Support: ChatMPA’s intelligent agents analyze marine data, identify conservation priorities, and recommend strategic interventions with measurable targets.
  • Stakeholder Engagement & Capacity Building: By providing clear, evidence-based guidance, ChatMPA strengthens the ability of managers, policymakers, and communities to implement conservation strategies.

Expected Outcomes

  • Bridging the Science-Policy Divide: Marine science becomes directly actionable, accelerating policy adoption and regulatory enforcement.
  • Enhanced Conservation Efficiency: Park managers and decision-makers gain real-time insights to optimize resource allocation and management efforts.
  • Measurable Conservation Impact: Data-driven decision-making leads to stronger marine protected areas, improved biodiversity conservation, and sustainable ocean governance.

Long-Term Impact

ChatMPA fosters a shift towards dynamic, AI-powered conservation governance. By enabling science to reach and influence decision-makers in real time, it ensures that marine conservation strategies are proactive, adaptive, and based on the best available evidence. This transformation strengthens global ocean conservation efforts, driving measurable improvements in biodiversity protection, ecosystem resilience, and sustainable marine resource management.

Proof of Concept

Chat and Agent Demo

Explore two AI-powered tools:

  • Chat: Ask questions and quickly retrieve insights from the extensive literature and data gathered.

    👇 Check out a demo
  • Agent: Assess and update the MPA management plan by integrating missing information from databases.

    👇 Check out a demo

Visual AI: Multimodal Monitoring

This tool uses AI to recognize fish species, monitor their behavior, and integrate data from bioacoustic sensors, remote sensing, and other parameters for a comprehensive, real-time representation of the marine ecosystem.

Visual AI Monitoring GIF

EcoNarrative

Explore our multimedia resources that were generated without human input:

👇 Check out a video demo



👇 Check out a podcast demo



People featured in video and audio are AI

Meet the Team

Dr. Fabio Favoretto

Dr. Fabio Favoretto

Marine Numerical Ecologist

Dr. Octavio Aburto

Dr. Octavio Aburto

Professor

Sonny Burniston

Sonny Burniston

ML Engineer

Contact Us for a Demo

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