Mentor and Empower

We bridge the gap between theory and practice, equipping graduates with real-world skills and organizations with data-driven solutions.

Our Focus

Our program aims to transform data into compelling stories, develop skilled monitoring, evaluation, and learning practitioners, and provide hands-on experience for graduates.

  • Empower organizations with data-driven insights.
  • Develop skilled Monitoring, Evaluation, and Learning practitioners
  • Provide practical experience for graduates in the field
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Eligibility Criteria for Students

To qualify, students must be enrolled in relevant fields, completed at least two years of study, be part of a learning group, and commit to a minimum two-month internship.

  • Enrolled in Statistics, Quantitative Economics, or Economics
  • Completed at least 2 years of undergraduate study
  • Part of a learning group with same course peers
  • Part of a learning group with same course peers
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Eligibility Criteria for Organizations

To qualify, organizations must have clear data needs, commit to a two-month internship, support data collection, and be open to learning and adaptation.

  • Clearly defined data or evidence needs
  • Commitment to a minimum 2-month internship placement
  • Willingness to facilitate data collection process
  • Capacity to support data analysis and interpretation
  • Openness to organizational learning and adaptation
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Obligations of RTF

Refuse to Fail commits to orienting interns, providing supervision and mentorship, facilitating data collection and analysis, and conducting sense-making workshops to ensure maximum impact from the program.

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Ensure that the interns are well oriented on the organizations data needs

Supervise the interns to ensure appropriate data collection and management plans are developed

Refuse To Fail will attach a mentor to each of the interns to ensure appropriate data is collected and analyzed

Refuse To Fail will facilitate at least 1 sense making workshop for organizations to enable them validate data, ensure its well interpreted and draw stories of meaning from the data

PROGRAM COST

UGX 1,000,000

USD $270

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