2018 Winner

An integrated data pipeline for small-scale fisheries

The Inspire Challenge is an initiative to challenge partners, universities, and others to use CGIAR data to create innovative pilot projects that will scale. We look for novel approaches that democratize data-driven insights to inform local, national, regional, and global policies and applications in agriculture and food security in real time; helping people–especially smallholder farmers and producers–to lead happier and healthier lives.

This proposal was selected as a 2018 winner, with the team receiving 100,000 USD to put their ideas into practice. 

An integrated data pipeline for small-scale fisheries

Every day, about 40 million small-scale fishers go out fishing, yet virtually none of these activities or yields are documented. This global data deficiency underpins SDG 14, yet we are now at a moment in time when technologies are small enough and cheap enough to solve it. WorldFish are testing novel linkages of these technologies to create an automated data pipeline to highlight temporal and spatial changes in fish production. This pilot will provide a national proof of concept in Timor-Leste before transitioning to scale.

WorldFish will lead on-the-ground coordination of catch documentation and government partner capacity building and develop an open-source cloud-based decision dashboard for fisheries managers. Pelagic Data Systems (PDS) will be responsible for the installation of vessel-tracking hardware, transmission of geospatial tracking data through cellular networks, and the cloud-based analytics and machine learning necessary to identify fishing activity at sea.

The fish food system supports over three billion people globally and represents more than 20% of their animal protein. Approximately half of the global fish catch comes from small-scale fisheries, yet this contribution is hidden and small-scale fishers are often overlooked in policy, management, and development decisions. Ultimately, the marginalization of small-scale fishers undermines the vital food and livelihood benefits they provide.

The involvement and activities of women and youth in fish food systems are particularly under-reported. The existing data systems underpinning this project have followed CGIAR sex-disaggregated data standards which contribute to closing gender data gaps. This work has already highlighted the crucial importance of women in fishery activities as dependable sources of household food and nutrition security in Timor-Leste, the results of which form the basis of a publication in final draft.


Alex Tilley | Email
WorldFish Scientist

Shaun Wilkinson
WorldFish Consultant

David Solomon | Email
CEO, Pelagic Data Systems

Project Partners

WorldFish provides project leadership, on-the-ground activities, project implementation, and project reporting.

Shaun Wilkinson develops, improves, and maintains R scripted pipeline from catch data records to peskAAS decision dashboard. He also carries out statistical testing of nearest neighbour assignment.

Pelagic Data Systems developed the integration of catch data with boat tracking data and innovates machine learning techniques to pattern detection in fishing behaviour and production over time and space.

Shaun Wilkinson explains the data tool behind the initiative.

Step by step

October 2018

US$100K grant

The project was one of five winners of the Inspire Challenge 2018 and was awarded US$100K at the second annual convention of the CGIAR Platform Big Data in Agriculture, 3-5 October 2018.

November 2018 - April 2019

Registration of fishers and installation of boat trackers

The WorldFish in-country team, in partnership with the Ministry of Agriculture and Fisheries (MAF), has deployed roughly 300 Pelagic Data Systems boat tracking units on artisanal fishing boats around Timor-Leste, including the enclave of Oecusse.

This partnership enables the project to support MAF in augmenting the national registration of small-scale fishing boats while installing tracking units at the same time.

January - April 2019

Filtering data using machine learning

By teaching machines how to identify fishing activity based on the speed, trajectory, and tortuosity data collected by the PDS tracking units, fishing activities can be filtered from not-fishing activities and potentially flag for suspicious or unusual movement.

April - July 2019

Capacity building, training, and participatory development of data systems

The project will provide three aspects of capacity building and training for government partners, fisher stakeholders, and data collectors:

  1. Installing and maintaining PDS trackers, attaching trackers to the boat in a way that is durable, non-damaging, and effectively exposing trackers to sunlight
  2. Collecting landing data
  3. Manipulating and comprehending decision dashboards

WorldFish and PDS will train and support 11 new data collectors (one per coastal municipality) joining MAF.

A workshop with the Fisheries Directorate will be held at the end of April to assess progress and evaluate how tools and processes match needs and aspirations.

A publication detailing the methods and results from building the landings data pipeline in open source software will be submitted by July.


July 2019

Launch of near real-time monitoring system

The team launched the dashboard, Automated Analytics System for Small-Scale Fisheries in Timor-Leste (PeskAAS), which tracks fishing activities–including the number and type of fish caught by individual boats in near real-time.


July 2019

Making headlines in Timor-Leste

The project made headlines in Timor-Leste for the launch of its near real-time small-scale fisheries monitoring system. The dashboard is one of the most sophisticated data collection systems for small-scale fisheries in the world. It puts important data in the hands of fisheries officers, researchers, and local stakeholders. The tool will ultimately enable better understanding the contribution of fish and fisheries to local livelihoods and food security.


August 2019

Journal article publication

The first journal article using the peskAAS monitoring system was published in Frontiers in Marine Science. 

The study tests the effects of fish aggregating devices (FADs) at increasing fish production in Timor-Leste. FADs have shown success in improving catch rates elsewhere in the Pacific by making pelagic stocks more accessible to small-scale fishers.

Eight experimental FADs were deployed at four sites around Timor-Leste and catch and effort data from FAD and non-FAD fishing trips was recorded. Results show a significant positive effect of FADs on catch rates when controlling for random site variation, with FADs paying for themselves in roughly five months or less at three out of four sites.

October 2019

System testing in seven additional countries in Asia and Africa

The team signed an agreement to expand their pioneering work to better understand stocks and catches from small-scale fisheries across seven countries in Africa and other parts of Asia.

The Memorandum of Understanding, signed at a special ceremony at WorldFish headquarters in Penang, Malaysia, provides the framework for WorldFish and Pelagic Data Systems to further develop and provide access to innovative data collection solutions for fisheries.

“Working closely with innovative partners in the private sector – especially the tech sector – can help us generate more and better data, which in turn can mean our research has a greater impact in supporting some most vulnerable people in the world,” said Dr. Alex Tilley, Scientist at WorldFish.



August - October 2019

Evaluation of uptake, sustainability, and scalability

In the final stages of the pilot phase, an evaluation workshop will provide a final assessment of the system’s capacity and impact, an evaluation of uptake, and an assessment of the system’s sustainability and scalability to other countries and fisheries.

October 2019

US$125K scale-up grant

The project was awarded a 2019 Inspire Challenge Scale-up grant of US$125K at the third annual convention of the CGIAR Platform for Big Data in Agriculture, 16-18 October 2019.

Stay tuned for more updates!

Project News and Resources

New agreement will take innovative data collection system to fisheries in seven more countries

New agreement will take innovative data collection system to fisheries in seven more countries

A 2018 Inspire Challenge project led by WorldFish and Pelagic Data Systems has signed an agreement to expand their pioneering ...
Timor-Leste launches world-first monitoring system for small-scale fisheries

Timor-Leste launches world-first monitoring system for small-scale fisheries

A 2018 Inspire Challenge project led by WorldFish and Pelagic Data Systems has launched a new online dashboard that tracks ...
[WorldFish Video] Big data proposal wins Inspire Challenge

[WorldFish Video] Big data proposal wins Inspire Challenge

A proposal by WorldFish, in partnership with Pelagic Data Systems, aims to uncover the hidden contribution of fish to the ...
Improved data management is enhancing innovation and impact, byte by byte

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By Cecily Layzell Published on http://blog.worldfishcenter.org/ 14 January 2019 WorldFish has been a leader in aquaculture and fisheries development for ...
Big data proposal wins 2018 Inspire Challenge

Big data proposal wins 2018 Inspire Challenge

By Cecily Layzell Published on http://blog.worldfishcenter.org 15 October 2018 WorldFish, in partnership with Pelagic Data Systems, is a winner of ...