Innovation – Open view page

General information

Innovation ID659
Version ID85
Innovation TitleBig data technology and system (PeskAAS) to improve small-scale fisheries management in Timor Leste
Innovation description A digital catch documentation system combined with tamper proof, solar powered trackers (developed by the partner Pelagic Data Systems) provided near-real time small-scale fisheries production and effort information to government fisheries managers on a decision dashboard using open-source software.
Reporting Staff Alexander Tilley (WF)
Year (Reporting)2020
Reporting statusApproved
Innovation TypeResearch and Communication Methodologies and Tools

Stage reached

Stage of InnovationStage 4: uptake by next user
Year (Stage)2020
Stage DescriptionThe Timor-Leste goverment has now allotted USD 150,000 of the national budget to ensure sustainability of the system going forward as part of the handover. The project has scaled up in 2020 as 15,690Km2 of coast was monitored via PeskAAS in Timor-Leste.
Next User OrganizationAcademic and Research,Government
Has a lead organizationyes
Lead OrganizationWorldFish
Top 5 contributorsPelagic Data Systems; Timor Leste Ministry of Agriculture and Fisheries

Contributions and mapping

All partners Independent / Not associated-Private Sector; Timor Leste Ministry of Agriculture and Fisheries, National Directorate for Fisheries and Aquaculture-Government; WorldFish-CGIAR Center/Program (Center)
Main CRP CGIAR Research Program on Fish Agri-Food Systems
Flagship project FP2-Sustainable Small-Scale Fisheries
Cluster FP2-1-Resilient coastal fisheries
Other CRPs-Flagships-Clusters Big Data in Agriculture,MDL-3-Inspire

Scope

Geographic scopeNational
Regions
CountriesTimor-Leste

Targeted outcomes

Main Sub-IDO Enhanced institutional capacity of partner research organizations
Other Sub-IDO More productive and equitable management of natural resources
Other Sub-IDO

Evidences

EvidencesTatoli news Agency report, Timor Leste, July 2019
[http://www.tatoli.tl/2019/07/19/timor-leste-lansa-sistema-monitorizasaun-peska-dahuluk-iha-mundu/]

"Juliana López-Angarita, Kimberly Hunnam, Mario Pereira, David Mills, Jharendu Pant, Shwu Jiau Teoh, Hampus Eriksson, Lourenco Amaral, Alexander Tilley. (1/7/2019). Fisheries and aquaculture of Timor-Leste in 2019: Current knowledge and opportunities. Bayan Lepas, Malaysia: WorldFish (WF)."WorldFish press release, August 2019
[https://www.worldfishcenter.org/content/timor-leste-launches-world-first-monitoring-system-small-scale-fisheries]

Tilley, A., Dos Reis Lopes, J., Wilkinson, S. (2020). PeskAAS: A near-real-time, open-source monitoring and analytics system for small-scale fisheries. PLoS ONE, 15(11): e0234760.
[https://hdl.handle.net/20.500.12348/4317]

PeskAAS pipeline decision dashboard
[https://worldfish.shinyapps.io/peskAAS/]

FAO and WorldFish. (2020). Information and communication technologies for small-scale fisheries (ICT4SSF) - A handbook for fisheries stakeholders. In support of the implementation of the Voluntary Guidelines for Securing Sustainable Small-Scale Fisheries in the Context of Food Security and Poverty Eradication. Bangkok.
[https://hdl.handle.net/20.500.12348/4439]

Platform for Big Data in Agriculture. 2018. An integrated data pipeline for small-scale fisheries.
[https://bigdata.cgiar.org/inspire/inspire-challenge-2018/an-integrated-data-pipeline-for-smallscale-fisheries/]

Tilley, Alex, 2020, "PeskAAS - National Fisheries Monitoring System of Timor-Leste"
[https://doi.org/10.7910/DVN/TVGIJJ]

Layzell, C. 2018. Big data proposal wins 2018 Inspire Challenge.
[http://blog.worldfishcenter.org/2018/10/big-data-proposal-wins-2018-inspire-challenge/]

GMNTV News Report, August 2019
[https://www.youtube.com/watch?v=Gma3lPP-w0M]

Linked Elements

Milestones6984-168-41097 - Wider application of improved management models, technologies and livelihood solutions that promote equitable resource access and benefits in focal and two scaling countries
Outcome Impact Case National adoption of small-scale fisheries data system in Timor-Leste https://hdl.handle.net/20.500.11766.1/d42e1c
Policy