Deadline: |
28 February 2019.
Location: |
Online.
(Partially Funded)
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UNICEF Innovation Fund Call for Data Science & A.I
The UNICEF Innovation Fund is looking to make up to 100K equity-free investments to provide early stage (seed) finance to for-profit technology start-ups that have the potential to benefit humanity. If you’ve got a start-up registered in one of UNICEF’s programme countries and have a working, open source prototype (or you are willing to make it open-source) showing promising results, the UNICEF Innovation Fund is looking for you.
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There are numerous applications of data-science. UNICEF is interested in companies that apply data-science in new, groundbreaking, ways that are scalable, globally applicable, and can be used for the benefit of humanity.
Opportunity Focus Areas:
- Data science
- Machine learning
- Artificial intelligence
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English.
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EGYPT, SYRIA, IRAQ, PALESTINE, JORDAN, LEBANON, TUNISIA, ALGERIA, MOROCCO, SUDAN, LIBYA, SAUDI ARABIA, EMIRATES, KUWAIT, QATAR, BAHRAIN, OMAN, YEMEN, SOMALIA, DJIBOUTI, MAURITANIA, TURKEY, IRAN, CYPRUS, COMOROS, & OTHER COUNTRIES ARE NOT FROM THE MIDDLE EAST AND NORTH AFRICA.
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Submissions will be reviewed on a regular basis. Shortlisted companies will be notified within three months after submission. Only shortlisted vendors will be contacted and thereafter included in the next stage of the process..
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- You must be registered as a private company in a UNICEF programme country.
- You are working on open source technology solutions or willing to be open-source under the following licenses or their equivalent: BSD (software), CERN (hardware), or CC-BY (content).
- You have an existing prototype of the solution with promising results from initial pilots.
- Your solution has the potential to positively impact society.
- Your company does not have to be fully down the road of having a ready product, it can be at the very beginning. Our funding is intended to seed an exploration within a company that already exists, that has a strong team and a prototype, and that can be profitable, and successful in the space of data-science.
- Women led projects are encouraged to apply.
Criteria for the Expressions of Interest:
- The relevance of solution for children and young people, problem-solution fit and potential for application at a global scale.
- Novelty of project of project and alignment with Innovation Principles.
- Suitability of the team and key personnel to implement the project.
- Project budget and financing.
Note: From more information check here.
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(Partially Funded)
- Seed funding. The Fund provides up to $100,000 in equity-free seed funding. The money is intended for you to validate and test your prototype, and get it to a stage where the company has proof that your solution works.
- Product and technology development. Selected startups will receive technical assistance from the UNICEF Ventures team to help validate and improve their solutions. Additionally, startups are plugged into a data-science focused cohort where they will be connected with other companies working on similar solutions, exchange lessons learned and share critical data.
- Business Growth. The Fund taps into a network of mentors who help startup teams develop their business model and strategy to grow their companies and ultimately profit.
- Data networks and platforms. UNICEF Ventures has a dedicated Data-Science team since 2014, developing partnerships, data platforms, and use cases. Through our network, you can get access to world-class researchers, corporate partnerships, and additional datasets.
- Maximize impact for children. As the world’s leading organization for children, UNICEF has a network of experts and partners across its Country Offices who can provide geographically localized advice on your solution, assess its impact, and develop partnerships needed to reach more users.
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First Step: Interested companies are required to complete and submit the EOI Response form and provide the information and supporting documents indicated in the form.
Second Step: Submit the Expression of Interest below.
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Know more about this opportunity:
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To learn how to write CV, Essays, Personal statement, and know about recommendation letters click here:
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This Scholarship Published by:
” Noha Elbehery/ Egypt “Reviewed by” Salma Aittaleb/ Morocco ”
MARJ3 Intern
MARJ3 Scholarships team
