Join this project to bring your concept to reality and help us achieve a future of work that provides decent and sustainable work opportunities for all.
The winning submissions will be featured at the Abdul Latif Jameel World Education Lab (J-WEL) at the Massachusetts Institute of Technology, Cambridge USA, during J-WEL Week in March 2020. Learn more about the J-WEL.
This multi-stakeholder challenge calls upon participants worldwide to contribute to the design of publicly available tools that will contribute to the achievement of Sustainable Development Goal 8 “Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all”.
Specifically, the challenge seeks to identify predictive models and datasets which can be used for forecasting skills trends at the country level. Single-country tools will be considered, but the best submissions will allow multiple countries to understand their unique skill trends.
Why does this matter?
Rapid technological and economic changes are changing the types of jobs being demanded, and the nature of the work in those jobs. This creates challenges for individuals, employers, educational institutions, and governments.
People need better advice on how to gain the right skills to advance in their careers.
Employers need data to hire the right workers, and help their current employers gain useful skills.
Educational institutions need information to plan workforce-relevant courses and programs.
Governments need insight to help them invest in the right programs to improve the employability and financial security of their people.
While some models exist to forecast trends in demand for skills and jobs, much more is needed to help people identify the skills that are most important for the places in which they live and work.
We challenge you to build methodologies and skill forecasting tools that empower stakeholders to navigate the transforming world of work.
Your submission to this challenge must include:
- A short description of the methodology you propose and the specific datasets you utilize.
- An online executable workbook showing step-by-step computations and justifications of your methodology (e.g a jupyter notebook hosted at https://notebooks.azure.com, https://cocalc.com, https://colab.research.google.com, or similar). The workbook must provide preliminary results from your model.
- A short video (1 to 5 minutes) explaining your solution.
- A repository of the original open source code, data files, and other items used to execute your model (include licenses files). This information should be hosted in a public repository and should allow the challenge organizers to execute it online.
Note: Open Source
The terms of this challenge require that all your submissions are covered by creative commons and recognized open source software licenses. You will be asked to accept this in the terms and conditions prior to submitting any content. You are encouraged to leverage and extend existing open source frameworks and use open data. Read terms and conditions.
For complete details on the eligibility criteria that govern Forecast skill trends Challenge please refer to the website.
Terms and Conditions
For complete details on the terms and conditions that govern Forecast skill trends Challenge please refer to the website.