Please describe your proposed solution.
It is a new societal security value for citizens, governments and state services. It is based on semantic and behavioural content engineering integrated into a learning process that stimulates a real job situation experienced by active professionals.
It is developed through a community of professional “trust mentors” who will drive the formation of a trust community with learners.
This relies on a digital tool capable of aligning interests of mentors and learners with the aim of employment inclusion and amalgamating government’s youth employment inclusion policies. The tool enables aligning personal and common good interests via high quality content transmission and value-added components in the form of inclusion, resilience and reliability.
Backed by a civic job chain platform,"ERS CONCERSO®".
"ERS CONCERSO®" already exists in Alpha version and has been deployed in Ivory Coast (Grand-Bassam)
Please describe how your proposed solution will address the Challenge that you have submitted it in.
The proposed solution looks to find ways to improve tokenisation of impact and more specifically, it is aimed at social impact. The ERS matrix allows for measuring the value generated by informal workers and creates a societal network of mentors/ economic stakeholders. It also factors in the idea of tokenising "employment impact".
What are the main risks that could prevent you from delivering the project successfully and please explain how you will mitigate each risk?
The main risks that could prevent the team from delivering the project include making the data on employability readable and also ensuring that the beta version is user friendly to ensure adoption. The team is addressing these two risks by simplifying the access and presentation of data to ensure that local organisations/ governments plus citizens can easily see the value generated.