DAFF National Agriculture Traceability Regulatory Technology Research And Insights Grant: Australian AgriFood Data Exchange - Ag Sector Traceability Transformation Delivered Through An Interoperable Data Platform And Exchange
Funder
Fisheries Research and Development Corporation
Funding Amount
$500,000.00
Summary
Regulatory efficiency and compliance across agricultural supply chains is hindered by inefficient, incompatible or unavailable data and systems that prevent creation of robust, interoperable traceability solutions. The Australian AgriFood Data Exchange (AAFDX) will solve this challenge by creating a secure, cloud-based platform enabling government, industry and other participants to share, re-use and merge data from disparate systems in a secure, controlled manner. The AAFDX will be a modern, ef ....Regulatory efficiency and compliance across agricultural supply chains is hindered by inefficient, incompatible or unavailable data and systems that prevent creation of robust, interoperable traceability solutions. The Australian AgriFood Data Exchange (AAFDX) will solve this challenge by creating a secure, cloud-based platform enabling government, industry and other participants to share, re-use and merge data from disparate systems in a secure, controlled manner. The AAFDX will be a modern, efficient, internationally recognised data infrastructure enabling regulators and industry to better manage compliance, stimulate innovation and supply chain performance, assure consumers, coordinate biosecurity and export market access, through enhanced traceability. The funding will build the minimal viable product, with expansion to specific traceability and compliance applications. The AAFDX will endure beyond the funding period with partner co-investment and a user pays revenue stream Objectives: 1. Deliver a minimum viable product (MVP) of the Australian Agrifood Data Exchange services 2. Develop a platform that facilitates applications/solutions that increase traceability, productivity, compliance, profitability 3. Develop governance arrangements to ensure that data security, and in turn users trust in ag-tech is not compromised 4. Build digital maturity of the fisheries and aquaculture sectors to engage in the potential, permissioned shared data offers Read moreRead less
ARDC: Food Security Data Challenges: Increasing Food Security Through Liberation Of Fishing And Aquaculture Data
Funder
Fisheries Research and Development Corporation
Funding Amount
$1,001,708.12
Summary
The development of digital and data systems (DSS) across fisheries & aquaculture, as well as the agriculture sector more broadly is disparate. How data is collected, how it is stored, and how it can subsequently be used is greatly influenced by factors such as sector digital maturity, or available funding to develop (or upgrade) DSS.
This project seeks to develop a national fisheries and aquaculture data ingestion and storage system (Activity 1), ensuring that information derived from f ....The development of digital and data systems (DSS) across fisheries & aquaculture, as well as the agriculture sector more broadly is disparate. How data is collected, how it is stored, and how it can subsequently be used is greatly influenced by factors such as sector digital maturity, or available funding to develop (or upgrade) DSS.
This project seeks to develop a national fisheries and aquaculture data ingestion and storage system (Activity 1), ensuring that information derived from fisheries and aquaculture activities is findable, accessible, interoperable and reusable (FAIR). The ingestion and storage system will be bolstered by a complementary data catalogue (detailing the data sets available on the platform) (Activity 2) and analytical tools (able to gain insights without moving data outside the storage platform) (Activity 6). The platform will be underpinned by metadata (Activity 3) and a robust governance framework (Activity 4). Use of the system will be tested through 3 case studies, supporting capacity and capability improvement of the sector (Activity 5).
The production of and use of data cuts across industry and government, and covers activities throughout the fisheries supply chain (from pre-fishing quota management, to post-fishing processing and subsequent traceability). Consequently there is no one organisation across fishing and aquaculture that is best placed to co-ordinate and trial this technology. FRDC is capable to the leadership required to ensure a fit for purpose product for end users, additionally the leverage of Australia Research Data Commons investment will contribute to the development of a nationally coherent eResearch infrastructure
This project received investment from the Australian Research Data Commons (ARDC). The ARDC is funded by the National Collaborative Research Infrastructure Strategy (NCRIS). Objectives: 1. Develop a new cloud-based fisheries data storage platform to enable ingestion, management, and sharing of datasets 2. Develop a CKAN-based data catalogue, a searchable fisheries data source allowing users to browse, combine, share, and access exchangeable data assets 3. Create best practice metadata standards that will be identified, documented, and then operationalised through the data catalogue and storage platform 4. Develop and operationalise a fisheries-focused data governance framework 5. Enhance capacity and capacity to use the platform through demonstration of 3 unique case studies 6. Develop use-case relevant suite of reporting and analysis tools to allow researchers to gain insights without moving data outside the storage platform Read moreRead less
Australian Fisheries And Aquaculture Statistics 2022
Funder
Fisheries Research and Development Corporation
Funding Amount
$60,000.00
Summary
Statistics on Australian fisheries production and trade seeks to meet the needs of the fishing and aquaculture industry, fisheries managers, policymakers and researchers. It can assist in policy decisions, industry marketing strategies and the allocation of research funding or priorities. The gross value of production for specific fisheries are used for determining the research and development levies collected by government.
The neutrality and integrity of GVP estimates is therefore im ....Statistics on Australian fisheries production and trade seeks to meet the needs of the fishing and aquaculture industry, fisheries managers, policymakers and researchers. It can assist in policy decisions, industry marketing strategies and the allocation of research funding or priorities. The gross value of production for specific fisheries are used for determining the research and development levies collected by government.
The neutrality and integrity of GVP estimates is therefore important due to their forming the basis for research levies for each fishery. At the international level, the Department of Agriculture through the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) contributes to a number of international databases. These include databases managed by the Food and Agriculture Organisation (FAO) and the Organisation for Economic Cooperation and Development (OECD). Information at the international level can assist in international negotiations on issues such as trans-boundary fisheries and analysis of trade opportunities. Objectives: 1. To maintain and improve the data base of production, gross value of production and trade statistics for the Australian fishing industry, including aquaculture. 2. To provide these data in an accessible form. Read moreRead less
Generative Visual Pre-training on Unlabelled Big Data. This project aims to develop a generative visual pre-training of large-scale deep neural networks on unlabelled big data. Developing pre-trained visual models that are accurate, robust, and efficient for downstream tasks is a keystone of modern computer vision, but it poses challenges and knowledge gaps to existing unsupervised representation learning. Expected outcomes include new theories and algorithms for unsupervised visual pre-training ....Generative Visual Pre-training on Unlabelled Big Data. This project aims to develop a generative visual pre-training of large-scale deep neural networks on unlabelled big data. Developing pre-trained visual models that are accurate, robust, and efficient for downstream tasks is a keystone of modern computer vision, but it poses challenges and knowledge gaps to existing unsupervised representation learning. Expected outcomes include new theories and algorithms for unsupervised visual pre-training, which are anticipated to deepen our understanding of visual representation and make it easier to build and deploy computer vision applications and services. Examples of benefits include modernising machines in manufacturing and farming with visual intelligence. Read moreRead less
Futures Of Seafood. Wild. Aquaculture. Recreational. Aboriginal And Torres Strait Islanders
Funder
Fisheries Research and Development Corporation
Funding Amount
$3,043,500.00
Summary
“Futures of Seafood” is an 18th month multi-disciplinary study co-designed with industry and government. It will draw from existing data, complementary work underway or concluded, and importantly will involve a suite our outputs that can be used by a variety of stakeholders in formats that are fit for purpose.
The study will provide a contemporary description on the state of play of Australia’s seafood system, the supply chain, markets and its reach into communities. It will identify a ....“Futures of Seafood” is an 18th month multi-disciplinary study co-designed with industry and government. It will draw from existing data, complementary work underway or concluded, and importantly will involve a suite our outputs that can be used by a variety of stakeholders in formats that are fit for purpose.
The study will provide a contemporary description on the state of play of Australia’s seafood system, the supply chain, markets and its reach into communities. It will identify and report on trends, insights, forecasts and cumulative impacts that are impacting (positive and negative) the industry. It will include the first in-depth spatial and descriptive profile of the seafood industry by sector and jurisdiction through spatial mapping and productivity reporting since Marine Matters in 2003. Beyond seafood, it will also identify, describe and map other ocean uses (new, emerging and transitioning), including assumptions about current growth plans / policies / rights completed / taken up, looking towards 2040.
Drawing from information collated, the study will include scenario modelling to model and scrutinise the cumulative impacts of these trends and produce associated impact reporting against productivity and sustainability (social, economic, environmental and governance) metrics for a series of ten scenarios.
It will synthesise the study findings, as well as curate across other studies underway or completed, to develop a series of industry-specific assets (reports, tools, frameworks and systems) that aim to improve knowledge and support ongoing participation in the ocean estate policy conversation. This includes supporting priority contemporary frameworks to support transitions to future states and de-risking industry/sectors.
‘Futures of Seafood’ will support a shared understanding of the potential pathways and opportunities that lie ahead for Australia’s seafood stakeholders during this time of rapid change and transformation. It will furthermore provide a foundation for industry, Government and policy makers to make better decisions, navigate changes, and ensure industry and stakeholders are well-equipped to adapt and hopefully flourish in a dynamic environment.
This study and its intended outputs are consistent with and seeks to promote action against local, national, and global strategic initiatives, including those of the High-Level Panel for a Sustainable Ocean Economy, the Biodiversity Framework within the Convention on Biological Diversity, the Paris Declaration, the United Nations Sustainable Development Goals and associated Forward Faster Initiative.
WORK PACKAGE SUMMARY
In short, this is a novel study that describes, maps and models the spatial, economic and social impacts of Government targets and decisions, provides evidence-based insights and charts a course for Australia’s futures of seafood alongside other ocean uses for the coming 10-15 years.
It will be delivered through a series of four work packages. These are founded on an enduring data collation platform, undertaken by a series of expert commissions and overseen and supported by a strong and inclusive governance framework.
Work Package 1: State of Play • Identify data system to support mapping and describing the current state of the industries/sectors – i.e. locations, GVP, employment, production, jurisdiction input/output. • Identify social and economic values i.e. contribution to regional communities, nutrition + value of supply chain. • Deliver a contemporary description on the building blocks and state of play of Australia's ocean food system, its supply chain and markets alongside the other uses of the ocean estate. • Investigate and report the trends, forecasts and cumulative impacts (positive and negative) on Australia's seafood industry. i.e. Nutritional security; spatial squeeze; working in a changing climate i.e. resilience, adaptation, emergency response; Industry transitions i.e. decarbonisation; Jurisdiction i.e. policy/strategy, production v consumption; Workforce + training; Nature based solutions & investment, sustainable food systems i.e. ESG and sustainability
Work Package 2: Future Estate • Map and overlay impacts of new and emerging transitioning industries in the ocean estate. • Identify and describe the trends, forecasts and cumulative impacts affecting the seafood industry. • Map/measure/describe the implications of trends, forecasts and cumulative impacts of these industries and impacts (positive and negative) on Australia's seafood industry. • Describe other uses of the ocean estate.
Work Package 3: Scenario Modelling • Design and develop tool to test future state scenarios for commercial, recreational and indigenous fishing. • Undertake a series of impact scenario examples: i.e. spatial squeeze/crowded ocean, a changing climate, a regulatory reset, sector case studies and cumulative pressures. • Use the scenarios to deliver impact reporting on productivity, nutrition and sustainability metrics to include: spatial mapping, heat maps, regulatory options, socio-economic attributes, community sentiment, nutrition, consumer and market impacts and opportunities.
Work Package 4: Synthesis • Synthesis of research from WPs into a complete report and communications assets. • Develop a Futures of Seafood Roadmap to navigate the likely impacts of the futures scenarios.
Governance Framework • This collaboration will bring together leaders from industry sectors and government portfolios of agriculture, energy and environment. • A strong and inclusive governance model is proposed to capture the breadth of stakeholders and ensure oversight of the study, strategic relevance and timely input from data and information contributors. • Oversight Committee • Industry + Community Advisory Committee • Government Advisory Committee • WP Technical Teams + Data Management & Communications Teams • Terms of Reference for each committee with be established.
Project Management • This will be supported by a mature project administration system, drawing from the Blue Economy project management system, a governance model and also an independent project evaluator to undertake assurance and integrity of program logic and models.
Objectives: 1. Provide a contemporary description on the state of play of Australia’s seafood system, the supply chain, markets and its reach into communities. 2. Identify the trends, insights, forecasts and cumulative impacts that are impacting (positive and negative) Australia's seafood industry. 3. Provide an in-depth spatial and descriptive profile of the seafood industry by sector and jurisdiction through spatial mapping and productivity reporting. 4. Identify, describe and map other ocean uses (new, emerging and transitioning), including assumptions about current growth plans / policies / rights completed / taken up, looking towards 2040. 5. Develop scenario modelling tools to model these trends and produce associated impact reporting against productivity and sustainability (social, economic, environmental and governance) metrics. 6. Synthesise the research and available to develop industry-specific assets (tools, frameworks and systems) that improve knowledge and support ongoing participation in the ocean estate policy conversation. 7. Progress priority contemporary frameworks to support transitions to future states and de-risking industry/sectors. Read moreRead less
Drawing Strength From Each Other: Simulation Testing Of Australia’s Abalone Harvest Strategies
Funder
Fisheries Research and Development Corporation
Funding Amount
$616,001.00
Summary
All Australian abalone harvest strategies use empirical approaches heavily supported by CPUE based indicators that reflect tensions between producing harvest strategies that work at both larger management scales and that account for local scale population dynamics. All harvest strategies apply a weight of evidence approach that is generally not clearly codified. However, the different harvest strategies lead to very disparate ways of setting catches, with some adjusting catch based on relative p ....All Australian abalone harvest strategies use empirical approaches heavily supported by CPUE based indicators that reflect tensions between producing harvest strategies that work at both larger management scales and that account for local scale population dynamics. All harvest strategies apply a weight of evidence approach that is generally not clearly codified. However, the different harvest strategies lead to very disparate ways of setting catches, with some adjusting catch based on relative performance of indicators, while others assume a direct relationship between CPUE and sustainable catch. These contrasting approaches have developed despite managing essentially the same group of species caught with the same gear type and from similar reef environments. This project will therefore test each of the presently used harvest strategies to draw out their strengths and weaknesses in a common platform.
Only the Victorian Western Zone and Tasmanian harvest strategies have been simulation tested. The MSE models used in each, due to funding and time constraints, have been developed in a way that means that portability across jurisdiction is time consuming and costly. As such, this project will address the need to write MSE code that will be usable for the future and in other jurisdictions. It will then test this code on two abalone stocks, one blacklip and one greenlip, to assist in this need for code generality. The final product will be freely available on a version control site such as GitHub with detailed guides on how it is best used.
Objectives: 1. Undertake Management Strategy Evaluation testing of each jurisdiction’s current abalone harvest strategies in Australia. 2. Contrast harvest strategy performance under a common dynamic range of stock types, with and without conflicting indicators 3. Provide guidance on what constitutes best approaches to using empirical abalone harvest strategies 4. Provide fully documented open-source R package for other MSE expert’s use 5. Provide advice on how best to include additional indicators Read moreRead less
Exploiting Geometries of Learning for Fast, Adaptive and Robust AI. This project aims to uniquely exploit geometric manifolds in deep learning to advance the frontier of Artificial Intelligence (AI) research and applications in cybersecurity and general cognitive tasks. It expects to develop new theories, algorithms, tools, and technologies for machine learning systems that are fast, adaptive, lifelong and robust, even with limited supervision. Expected outcomes will enhance Australia's capabili ....Exploiting Geometries of Learning for Fast, Adaptive and Robust AI. This project aims to uniquely exploit geometric manifolds in deep learning to advance the frontier of Artificial Intelligence (AI) research and applications in cybersecurity and general cognitive tasks. It expects to develop new theories, algorithms, tools, and technologies for machine learning systems that are fast, adaptive, lifelong and robust, even with limited supervision. Expected outcomes will enhance Australia's capability and competitiveness in AI, and deliver robust and trustworthy learning technology. The project should provide significant benefits not only in advancing scientific and translational knowledge but also in accelerating AI innovations, safeguarding cyberspace, and reducing the burden on defence expenses in Australia.Read moreRead less
International collaboration in teaching and learning of Einsteinian physics. Following a previous project that showed that it is possible and beneficial to teach the modern Einsteinian paradigm of space, time, matter, light and gravity to students as young as 8 years old, this project aims to test and evaluate a seamless progression of learning modern physics through primary and secondary school. It will sequence, integrate and test research-informed teaching and learning materials, and assessme ....International collaboration in teaching and learning of Einsteinian physics. Following a previous project that showed that it is possible and beneficial to teach the modern Einsteinian paradigm of space, time, matter, light and gravity to students as young as 8 years old, this project aims to test and evaluate a seamless progression of learning modern physics through primary and secondary school. It will sequence, integrate and test research-informed teaching and learning materials, and assessment instruments developed through a 7-nation collaboration. Research across 24 schools will be reviewed by a panel drawn from professional organisations and curriculum authorities, and learning resources will be widely disseminated, with view to worldwide introduction of Einsteinian science at school.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101881
Funder
Australian Research Council
Funding Amount
$407,390.00
Summary
Building STEM capacity through literacy engagement in spatial reasoning. This project aims to improve boys and girls' spatial reasoning in preschool (when gender differences emerge) by utilizing an activity that both genders equally access: book reading. Spatial reasoning is critical to achievement in science, technology, engineering and mathematics (STEM). This project will address disproportionate outcomes in spatial reasoning and STEM achievement, particularly among females, by identifying ef ....Building STEM capacity through literacy engagement in spatial reasoning. This project aims to improve boys and girls' spatial reasoning in preschool (when gender differences emerge) by utilizing an activity that both genders equally access: book reading. Spatial reasoning is critical to achievement in science, technology, engineering and mathematics (STEM). This project will address disproportionate outcomes in spatial reasoning and STEM achievement, particularly among females, by identifying effective kinds of spatial learning opportunities for the preschool context. Expected outcomes include an innovative approach to improving spatial reasoning through literacy engagement. This provides significant benefits by creating pathways into STEM and informing targeted interventions.Read moreRead less
Equity and spatial reasoning in students’ mathematics development. The project aims to understand the influence of Spatial-Reasoning on school mathematics. Spatial-Reasoning skills are a significant predictor of achievement in mathematics, and will become increasingly necessary in digital and dynamic environments. Opportunities for disadvantaged students to develop such reasoning skills are limited; they are typically not taught in schools. The project investigates the role and nature of Spatial ....Equity and spatial reasoning in students’ mathematics development. The project aims to understand the influence of Spatial-Reasoning on school mathematics. Spatial-Reasoning skills are a significant predictor of achievement in mathematics, and will become increasingly necessary in digital and dynamic environments. Opportunities for disadvantaged students to develop such reasoning skills are limited; they are typically not taught in schools. The project investigates the role and nature of Spatial-Reasoning in students’ mathematics development; and substantiates the long-term effect of a spatial learning programme on educationally disadvantaged students’ mathematics performance and reasoning. This project is expected to improve disadvantaged students’ spatial reasoning and mathematics skills and their life opportunities.Read moreRead less