Updated Jun 28, 2018

Project EARNIE

Artificial Intelligence unlocking community-driven content creation. Enabling personalised, impactful learning outcomes.

The innovation has no owner


Stage 5: Scaling

Focus Areas:

Education and Technology

Education and TechnologySEE LESS

Implemented In:

Myanmar, Uganda and Jordan

Myanmar, Uganda and JordanSEE LESS

Countries Implemented In


Mother Tongue Content - Children in emergency settings are often faced with a lack of vernacular educational material. This ultimately impacts dropout rates, literacy and numeracy levels. (Ensuring quality education for young refugees from Syria, 2014, Oxford University). Personalisation - Strain on teachers means that resources are often not matched to student ability. Documentation and tracking is difficult across borders. Children often move countries more than once. (UNHCR, World Bank, 2015)



Project Earnie is a cloud based software solution that enables the creation and delivery of culturally relevant, interactive, multi-lingual content. Our software is further enhanced by the inclusion of an Artificial Intelligence (A.I.) engine, developed on the IBM Watson platform. A.I. allows for rapid assessment, learning analytics and automated curriculum generation.- Our easy to use content creation tool uses a drag and drop interface.- Built upon Amazon Web Services infrastructure.- Online and offline modes.- IBM Watson engine ensures users are continuously delivered content in mother tongue, that is culturally, age, gender relevant; levelled to their literacy and numeracy levels. - Real-time content delivery (when in connected environment). Our real-time delivery engine is robust enough that the Transport Accident Commission, Victoria (TAC) are currently using our platform for freeway digital signage. Our included videos demonstrate a scenario where our content creation tool is being effectively used to support the Ara Irititja Project in a remote central Australian indigenous community. The project was established inter-generational transfer of Aboriginal cultural information, traditional ecological knowledge, family, community history and language.As we continue to enhance our product, we aim to deploy globally, working alongside education, aid, foundation and government partners - for the benefit of children in emergency settings.

Target Beneficiaries

Our innovation benefits children by enabling them to continue their learning in the face of emergencies, equipping them to thrive in the future. This in turn has positive knock on effects for communities experiencing and/or recovering from emergencies.Teachers and education providers benefit by being empowered to deliver tailored and measurable syllabuses to students. Giving teachers advanced tools to do their job better reduces burn-out and increases their interaction with their students. Please refer to our personas for further details.Due to our innovations ability to scale, it can also be adapted to aid beneficiaries in other sectors, such as aged care, healthcare, disability and remote learning, to deliver deliver highly relevant, personalised content.Finally, the business model supporting Project Earnie is an innovation in itself. Showing the technology community how tech can 'do good, while being good for business' will challenge others to follow suit.

Innovation Description

Leveraging scalable cloud technology and innovation to enable children to continue their learning in the face of emergencies

Competitive Advantage

As we approached 2016, the global aid appeal required US$20.1 billion to provide life-saving humanitarian assistance to over 87.6 million people across 37 countries, most of which are in conflict (??Global Humanitarian Overview, 2016??). Pressure is building to alter the way we respond to crisis. Our innovation model demonstrates how cutting edge private sector technology, in co-operation with aid, government and education, can offer innovation to not only support children in emergencies, but also address wider humanitarian challenges. Core technology can be easily integrated into existing infrastructure via API??s. Rapid deployment capability and low maintenance costs means reduced technological strain (personnel, cost of ownership, ongoing support). Having access to global, real-time data and predictive learning patterns, means greater confidence and accuracy in decision making, especially around policy, financial investment, and continued innovation opportunities


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