This project, in partnership with C-Minds and Vital Oceans, aims to accelerate the creation of community-run Marine Protected Areas in Latin America and the Caribbean through an artificial intelligence platform that facilitates evidence-based decision-making. By visualizing environmental data, automating biodiversity analysis, and incorporating fishing activity and traditional ecological knowledge, users can generate proposals for new conservation areas. The system seeks to integrate science, technology, and participatory governance to strengthen coastal communities, restore key marine ecosystems, and contribute to climate resilience in a crucial region.

In partnership with Fundación Capital Azul, Mar Futura is implementing an innovative acoustic monitoring system to strengthen surveillance in coastal marine refuges. Using low-cost hydrophones, automatic detection algorithms, and an interactive digital platform, the project will record and visualize illegal activity even in low-visibility conditions (such as at night). This tool integrates with the camera systems already installed by Capital Azul, creating a more robust and adaptable monitoring network. The project is the result of a collaborative, action-oriented design and aims to become a replicable model for other marine protected and management areas in Chile.

This project aims to map underwater noise pollution off the central coast of Chile using low-cost hydrophones. By recording sounds generated by human activities such as fishing and maritime transport, risk profiles will be created for six key coastal stations, taking into account their biodiversity and proximity to noise sources. The study integrates science, technology, and public policy to propose effective mitigation strategies that protect marine life in highly productive ecosystems such as the Humboldt Current System.

This project, a joint effort with Stanford, SECOS, and SERNAPESCA, aims to transform fisheries enforcement in Chile through predictive risk models based on satellite data (AIS, VMS) and compliance records. Using artificial intelligence and electronic monitoring data, the team will develop risk maps, proactive alerts, and compliance management strategies for industrial and artisanal fleets. The initiative seeks to optimize the use of public resources, strengthen fisheries enforcement, and build a replicable model to combat illegal fishing in Latin America and other regions of the world.

This collaborative project with SECOS and ACS, in partnership with SERNAPESCA, is developing a technological toolkit to combat illegal fishing in Chilean artisanal fisheries. The system includes a data acquisition platform, statistical models, expert estimation, a judicial index, and an interactive dashboard to visualize non-compliance patterns. With regional workshops and a design adaptable to specific territories, the toolkit is designed to be integrated into public policies, including the new Fisheries Law, and scalable to other contexts in Latin America.

This collaborative project with the University of Queensland evaluates the impact of electronic monitoring on reducing bycatch and discards in Chilean industrial fisheries. Through statistical analysis of data from scientific observers and electronic logbooks, the study seeks to understand how the electronic monitoring system has modified fishing practices. The project includes workshops with authorities and will generate key technical and scientific inputs to strengthen the implementation of electronic monitoring systems in Chile and other similar contexts.

This research project, in collaboration with SECOS and the Pontifical Catholic University of Chile, synthesizes global evidence on the impacts of underwater noise on non-mammalian coastal species. Through a comprehensive review, the study proposes a five-step framework for systematically incorporating noise into coastal management. The results highlight the use of low-cost hydrophones and artificial intelligence as key tools for mitigating this threat and supporting decision-making on a global scale.

Developed in partnership with Fundación Capital Azul and fishermen's unions in Zapallar and Ventanas, this project implements a network of low-cost hydrophones enhanced with artificial intelligence to automatically detect vessels near marine refuges. By analyzing thousands of acoustic recordings, the model has successfully identified suspicious events and nighttime activity. The initiative lays the groundwork for a monitoring system that can be replicated in other protected areas of Chile, strengthening coastal surveillance in a cost-effective and permanent manner.

In coordination with the National Fisheries and Aquaculture Service (SERNAPESCA), this pilot project introduces a virtual assistant powered by artificial intelligence to streamline the work of inspectors nationwide. The tool allows users to quickly access current resolutions, protocols, fact sheets, and decrees from any device. The system aims to optimize public procedures and is projected to be scalable to include the management of georeferenced complaints and environmental education in coastal communities.

Funded by WWF Chile and in collaboration with the Biodiversity and Protected Areas Service (SBAP), this study evaluates the potential of marine Other Area-Based Conservation Measures (OACs) at the national level. The research analyzes their socio-environmental advantages and disadvantages and identifies a portfolio of priority sites, including Management Areas (AMERB) and Coastal Marine Spaces of Indigenous Peoples (ECMPO). The project provides key inputs to help the country achieve its international goal of conserving 30% of the ocean.

In partnership with the Millennium Institute SECOS, the Stanford Center for Ocean Solutions, and SERNAPESCA, this collaborative project focuses on co-developing a compliance management framework based on risk indicators. Through participatory workshops with regional authorities, metrics were validated using satellite data (VMS) and enforcement records for various fisheries. This collaborative work enabled the definition of risk typologies and the establishment of concrete actions and strategies to improve regulatory compliance in Chile.

Submitted to the Rufford Foundation in collaboration with SERNANP, this project aims to install a network of autonomous hydrophones in the Paracas National Reserve, Peru. The main objective is to collect reliable scientific data on the frequency and distribution of fishing with explosives in the country's first Marine Protected Area. By combining acoustic recordings with oceanographic variables, the study hopes to build predictive models to anticipate these illegal activities and directly support the management of the protected area.

With support from the Rufford Foundation and the Capital Azul Foundation, this project implements passive acoustic monitoring and artificial intelligence (Agile Modelling) to measure the biological health of marine refuges on the central coast of Chile. The initiative quantifies key ecological functions in habitats critical for threatened species, such as the marine otter and the Humboldt penguin. It also trains local artisanal fishers to interpret these acoustic indices as an innovative tool for adaptive management.

Within the framework of WWF Chile's Guardians of the Sea initiative, this project aims to strengthen marine governance and conservation within the Río Chepu Inland Fisheries Union by co-creating a community-based technological monitoring system in its Management Areas. Through training in regulations and remote monitoring tools (such as drones and off-grid radar), along with the co-design of an enforcement protocol developed in conjunction with Sernapesca (National Fisheries Service) and the Chilean Navy, artisanal fishers are taking an active role in protecting their marine territory. The initiative combines technological innovation, local knowledge, and intersectoral coordination to combat illegal fishing, safeguard key benthic resources, and strengthen the community's social and ecological resilience to climate change.

An initiative aimed at detecting and deterring illegal fishing with explosives in Peruvian coastal waters, initially focusing on the Paracas National Reserve. Given the ineffectiveness of traditional nighttime visual surveillance, OceanKind addresses this gap with an underwater acoustic detection network. After evaluating commercial systems, the project developed its own Raspberry Pi-based solution, ensuring complete control over the algorithms, standard connectivity, open-source code, and the capacity to store audio for training machine learning models. Following a Research through Design (RtD) approach, the initiative systematically documents technical limitations in the field to generate iterative design hypotheses, seeking to empower local stakeholders and effectively integrate the solution into fisheries governance in Peru and Chile.