Review of the HDR UK Black Internship Programme

HEALTH DATA RESEARCH UK · awarded 27 September 2024

Who

Buyer	HEALTH DATA RESEARCH UK LONDON
Supplier	ADVANCE HE
Category	services
Classification	Research services CPV 73110000
Notice published	4 October 2024

What it is for

HDR UK's Black Internship Programme has been running since 2021, providing opportunities for Black students and recent graduates in science, technology, engineering, and maths (STEM) subjects to gain meaningful insights into health data science, to encourage them to consider pursuing a career in this field, and thereby helping to improve diversity within the sector. The Programme is now in its fourth year and provides participants with an 8-week paid internship with a host organisation in the health data science sector, including academic institutions, the NHS, and industry partners. To date, 315 interns have either completed or are in the process of completing an internship with a host organisation. We are commissioning an independent review of the programme, to objectively determine whether it has met the intended outputs and outcomes. Review objectives: Evaluate the programme design and implementation, including the approach to engaging the target internship audience and host organisations. Determine if the BIP has achieved its intended outputs and outcomes. Understand the programme's value to and influence on HDR UK and the wider health data science sector. Generate recommendations for the scope of the next iteration of the programme. Review design: We recommend the reviewers use the Context, Input, Process, Product (CIPP) framework to structure the review, as a well-established model for evaluation of educational programmes​ (Stufflebeam, 2003)​. However, we are also open to alternative framework suggestions made by the consultants. Suppliers are invited to propose a detailed review methodology, utilising the CIPP framework, or something similar. We anticipate this will involve a mixed method approach, comprising a desk review of documents, qualitative and…

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