Due Date: August 21, 2019

Applications are open for the AIMS-NEI Big Data for Advancement Development Difficulty 2019 The African Institute for Mathematical Sciences– Next Einstein Effort (AIMS-NEI), in collaboration with the International Advancement Research Study Centre (IDRC), is introducing the Big Data for Advancement (BD4D) Development Difficulty.

The BD4D Development Difficulty intends to support emerging young African information researchers to establish ingenious services that take advantage of brand-new and non-traditional sources of information to attend to advancement difficulties.

Expected Submissions

  • Solutions: These are ingenious huge data-driven services that attend to among the obstacle declarations provided in the BD4D Development Difficulty. The sending services need to have been evaluated or verified at a fundamental level and show this through the submission type.
  • Models: These are ingenious practical models that are yet to be verified, which address among the obstacle declarations. Models will be anticipated to validate the worth of their principle through composed paperwork, supporting information, screenshots, videos or other pertinent media files.


Picked prospects will pitch at the Last Difficulty and contend for seed financing awards and mentorship assistance. Difficulty Winners will be chosen and granted for the following classifications:

  • Finest BD4D-IC option: Approximately $10,000
  • The majority of Ingenious BD4D-IC option: Approximately $10,000

IMS-NEI will extend an invite to the winning services to check out methods to work together in confirming, carrying out or scaling the job’s reach. All winning jobs will be acknowledged through public interactions from the AIMS-NEI, IDRC and the World Bank Group and might be discussed as part of a prominent global occasion where the BD4D network will get involved.


  • Open to candidates from member nations of the African Union;-LRB- **************).
  • Applicants might be people or groups of people. Groups are motivated to integrate abilities in information science and information engineering;-LRB- **************).
  • Candidates are accountable for compliance with the legal requirements of their nation.

Evaluating Requirements

  • Importance to challenge focus locations (20%)
  • Innovativeness (20%)
  • Usefulness of usage, effect and capacity for scale (20%)
  • Technical expediency (20%)
  • Group (background, abilities) (20%)


Each Entrant will be needed to offer the following as part of his/her Submission:

  • A link to a demonstration of your solution/prototype, which might be in the type of a Kaggle kernel, Youtube video, Medium post, or hosted web application, to name a few.
  • A text description of your solution/prototype
  • Electronic recognition through the site that the entrant( s) have actually checked out and consent to the Terms.

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To learn more, go to AIMS-NEI

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