grants.

For institutions from emerging and under-developed nations to affordably adopt the highest standards in Data Science education.

WDSI awards subsidies and grants to institutions to cover substantial costs involved in the accreditation and procurement of advanced teaching-learning resources and student certification on future-ready vendor-neutral and cross-platform knowledge standards.

The World Data Science Initiative targets around USD 250 million in subsidies and grants to help reduce the cost-burden for applicant-institutions. These grants-in-aid and subsidies are directly deployed at the source-stage. They help reduce the invoiced costs of content, certification, knowledge, and process that applicant-institutions incur during accreditation or while setting up their Centers of Excellence or their Data Science schools.

Purposes/ Areas Covered Under Subsidies/ Grants

The Initiative seeks to assist applicant-institutions through subsidies and grants in the following activities:

  • Services related to global accreditation.
  • Procurement of content, process, and knowledge required to establish a Data Science Center of Excellence.
  • Procurement of content, process, and knowledge required to establish a Data Science School.

Salary of staff/ fee of external consultants/ infrastructure/ construction/ hardware/ equipment/ computers/ third party software is NOT covered in the grants.

Prospective Subsidy Applicants/ Beneficiaries

Seven categories of beneficiaries are eligible for application:

  • 1Governments/ public universities, colleges and institutions
  • 2Private universities/ institutions/ colleges duly recognized by their respective governments
  • 3Data Science education/ training consortia/ project organizations/ special purpose vehicles funded by multilateral aid bodies and charitable organizations
  • 4Data Science education consortia/ project organizations/ special purpose vehicles funded by elected national governments or elected provincial governments in nations
  • 5Data Science education projects funded/ sponsored by not-for-profit organizations engaged in employability development and social upliftment through education and training.

The Process

  • 1The subsidy/ grant request is assessed for each applicant-institution individually by a special Initiative committee. Subsequently, communication regarding the approval/ rejection of its request is sent to the applicant.
  • 2All approved applications are then individually processed as subsidy cases and external agencies are contacted to arrange maximum subsidy/ financial assistance possible for applicants.
  • 3Once in-principle confirmation of a grant-availability is obtained by the committee for applicant-institutions, they are requested to apply separately for a subsidy and await the decision.
  • 4Once arranged, applicant-institutions are informed of the subsidy and amount, and the relevant offices and teams of the Initiative coordinate to complete the process of awarding subsidies to the applicant-institutions.
  • 5The applicant-institutions can then proceed to pay the reduced fee/ cost and join the Initiative.

Important!

The World Data Science Initiative does not offer any financial assistance in cash. A few essential facts about the Initiative must be kept in mind by all applicants:

  • The Initiative does not offer cash assistance to any beneficiary institution. This implies that the accrediting bodies are directly paid the subsidy amount. Reduced fee/ cost must be paid by the beneficiary institution.
  • The Initiative does not release the subsidy amount immediately upon approval of an application/ request.
  • The Initiative does not operate on any contractual arrangement with educational or credentialing institutions. Hence, the Initiative does not automatically approve a subsidy for an applicant institution because of reasons of precedent or contract.
  • The Initiative is not bound to approve subsidies for applicant institutions who have received a subsidy in the past.

For more information, write to info@worlddatascience.org