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Smart Trade Networks

​Smart Trade Networks is a general-purpose technology platform, utilising blockchain technologies, that harnesses a diverse range of product provenance information as a basis of improved payments and confidence amongst supply chain participants.

Empowerment Through Training: The STN Academy

4 min readAug 17, 2021

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We are committed to empowering communities. This means ongoing R&D, education, training and capacity building. Here’s how we plan to do that.

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Earning Through Learning

We have designed the infrastructure for the STN academy through serious R&D supported by collaboration with university researchers across the globe. Peer-reviewed rigour helps hone the approaches and ideas, as they are pushed out into a real world development environment.

Empowering communities across the world to benefit from integrity-enabling systems and participate in virtuous value flow systems means we need to commit to ongoing research and development, and ongoing capacity building.

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QUT Gardens Point Campus

The Beating Heart of R&D

At the heart of the R&D work is our relationships with the teams at Queensland University of Technology in Australia, and the Future Foods Systems Cooperative Research Centre (CRC). We look forward to ongoing R&D within this collaborative environment, and to pushing out the work to allied areas through these partnerships.

Similarly, we seek to extend our collaborations with researchers globally. We have been party to a range of global exchanges already, principally with parties in Africa and China. Our next phase of work will see our R&D focus strongly on cross-border legal and technical standards, particularly as they affect cross-border trade and payments. Our Future Food Hubs projects series, being undertaken within the CRC framework will be focused on these dimensions over the next 12 months.

Global Academy

We aim to progressively establish training Academies in countries where the Smart Trade Networks infrastructure has local hubs and partners. New hub partners are welcome to reach out.

The Academies will in the first instance be underpinned by education curriculum developed in partnership with Singapore-based technology education and certificates operator, Casugol. The programs cover all core aspects to enable people, communities, organisations and enterprises to become proficient in the design and application of Smart Trade Network infrastructure to their specific opportunities and requirements.

Education Certificates

STN is the global exclusive blockchain content developer and delivery partner of Singapore-based certification provider Casugol. Casugol’s has built a strong reputation across South East Asia in providing corporate and individual technical and technology-related training; adding blockchain curriculum to its suite through partnerships with STN provides people around the world with a Singapore-issued certificate as they proceed on their formal education pathway. Our roadmap is to link these certificate programs to university entry requirements through Recognition of Prior Learning.

Our vision is to enable each of the Academies to become content creators, serving the ecosystem as a whole, and creating new value flows based on new knowledge and capabilities.

IP as a Public Good

We are presently curating a project that envisages IP as a public good, the benefits of the development of which is acknowledged via the tokenization of patents and other instruments of IP rights.

Community Education

We have pioneered a ground-up viral education process, empowering and rewarding members of the community to upskill and build their own education communities. Our Learn and Earn program supports people as they develop themselves and at the same time contribute value to the community at large. Community Education is recognised through STN tokens, and can lead to further education / training opportunities through our partnership Certified Programs.

STN Moonshot Reserve

We believe that by Year 6 in our development vision, the STN ecosystem will have reached a point where it will be in a position to sustainability and confidently commit a portion of network proceeds to an STN Moonshot Reserve. This Reserve will accumulate resources to channel into pure research in areas of planetary and human life sciences, by working closely with leading research institutions.

Education Bursaries

A Learning Bursary will be established as part of the Moonshot Reserve, focused on enabling disadvantaged youth from around the world to access education. Applications will be invited and the STN community will determine the allocation of the Bursary.

Governance

Funding priorities will be shortlisted by an eminent panel (to be selected by DISCA), and be put forward to the community for determination of priorities. The decision-making mechanisms that will be employed will be examined through engagement with the community at large, and by learning from the experiences of groups experimenting with decision-making mechanisms such as quadratic voting and the like.

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About Smart Trade Networks

Smart Trade Networks is a general purpose blockchain technology-enabled supply chain asset registration, tracking and trading ecosystem.

Smart Trade Networks undertakes R&D in cross-border supply chain and trade systems in collaboration with researchers at Queensland University of Technology and the Future Food Systems Cooperative Research Centre, in Australia.

More information about Smart Trade Networks can be found at:

Medium Article: What is Smart Trade Networks?

Telegram: https://t.me/SmartTradeNetworks

YouTube: https://www.youtube.com/channel/UCarnV-OEusVcPRil2gDF3Ig

Website: https://www.smarttradenetworks.com/

LinkedIn: https://www.linkedin.com/company/smart-trade-networks

Twitter: @networks_trade

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Smart Trade Networks
Smart Trade Networks

Published in Smart Trade Networks

​Smart Trade Networks is a general-purpose technology platform, utilising blockchain technologies, that harnesses a diverse range of product provenance information as a basis of improved payments and confidence amongst supply chain participants.

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