Approved Research This page provides a searchable list of all research protocols that have been reviewed and approved by the Uganda National Council for Science and Technology(UNCST).
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Name Title Nationality Approval Date Expiry Date Field of Science/Classification Trial Type Research Type  
CHRISTINE NAMULINDWA ODWORI
ID:
EVALUATION OF PERFORMANCE OF COVID-19 TESTING CAPACITIES IN CLINICAL LABORATORIES IN UGANDA
REFNo: HS2252ES

iv. To evaluate the performance of COVID-19 public health capacity in clinical laboratories in Kampala district.,ii. ToTo evaluate the performance of COVID-19 data management capacity in clinical laboratories in Kampala district.,iii. To evaluTo evaluate the performance of COVID-19 biorisk management capacity in clinical laboratories in Kampala district.,To evaluate the performance of COVID-19 testing function in clinical laboratories in Kampala district,To evaluate the performance of COVID-19 testing capacities among clinical laboratories in Kampala.,
Uganda 2022-07-28 9:18:11 2025-07-28 Medical and Health Sciences Non-Clinical Trial Degree Award
Isa Kabenge
ID: UNCST-2021-R011727
Machine learning for estimating sources and sinks: Developing cloud computing-based, artificially intelligent algorithms to quantify livestock and biomass for management of GHG emissions
REFNo: SIR91ES

Objectives:
The overall objective of the proposed project is to develop a novel methodology quantifying GHGs Inventory for a particular area by optimizing application of remote sensing, machine learning and artificial intelligence to quantify ranging animals as sources, above ground biomass and ground as sinks and incorporates animal management system.

Specific Objectives:
1) To develop an algorithm that optimizes, machine learning and artificial intelligence to quantify ranging animals, from remotely sensed imagery.
2) To develop an algorithm that optimizes, machine learning and artificial intelligence to index animal management systems, from remotely sensed imagery.
3) To develop an algorithm that optimizes, machine learning and artificial intelligence to quantify above ground biomass and ground, from remotely sensed imagery.
4) To develop a novel artificially intelligent algorithm for quantifying GHGs Inventory for a particular area by integrating, number of animals as sources, above ground biomass and ground as sinks and animal management system indexes quantified from remotely sensed imagery.

Uganda 2022-07-28 9:16:58 2025-07-28 Engineering and Technology Non-Clinical Trial Non-degree Award
Philip Nyeko Nyeko
ID:
HEALTHYNSECT - Insect farming for health and livelihoods
REFNo: A118ES

The overall aim of HEALTHYNSECT is to assist policy development for accelerating rural insect farming and consumption of insects and insect-based products in Africa for sustainable development and improved nutrition, health, and livelihoods.
The specific objectives of the HEALTHYNSECT project are:
Objective 1
1. To develop an evidence-based framework describing impact pathways from incentivizing insect farming and consumption to intermediate and long-term development outcomes related to nutrition, health and livelihoods.
Objective 2
To conduct a multi-site factorial intervention study to identify and quantify the pathways for enhancing the adoption of insect farming and consumption of insects and insect-based products.
Objective 3
To assess the impacts of incentivizing insect consumption through provision of insect-based food supplements on household dietary diversity, and young children’s diet, health and nutritional status in rural households
Objective 4
To assess the impacts of incentivizing small-scale insect farming on household livelihoods and resilience including production and dietary diversity, food security perception, resource allocation, income generation, and household agricultural asset composition.
Objective 5
To support research capacity building and regional East-West research collaboration in Africa for strengthening research capacity on edible insects in sustainable food systems.
Uganda 2022-07-27 10:14:51 2025-07-27 Agricultural Sciences Non-degree Award
Edith Akankwasa
ID:
Baseline Evaluation of the Comprehensive and inclusive disability prevention services project for Mildmay Institute of Health Sciences version 1.2, version date: 22.7.2022
REFNo: HS2334ES

The objective of the baseline survey is to assess access to Comprehensive and inclusive disability prevention services in the community and also the support that families with persons with disability are provided with (“What is SWOT Analysis in Project Management.Definition & Examples,” n.d.)
• To establish the parenting practice and attitude to care the children of children with disabilities;
• Understand the supportive relationships from community to most vulnerable children and their families.
• Capacity of local partners to effectively coordinate and support CWDs and the referral mechanism

Uganda 2022-07-26 9:57:58 2025-07-26 Medical and Health Sciences Non-Clinical Trial Non-degree Award
LYDIA  KISEKKA NAMATEEFU
ID: UNCST-2022-R011079
APPRAISING THE RELATIONSHIP BETWEEN THE LAW ON LAND REGISTRATION IN UGANDA AND LAND GRABBING: A CASE STUDY OF KAYUNGA DISTRICT
REFNo: SS1204ES

To appraise the relationship between the law on land registration and the phenomenon of land grabbing in Uganda.

Specific Objectives
i. To conceptualize the law on land registration and the practice of land grabbing in Uganda with a specific focus on Kayunga District.
ii. To identify the nature and causes of land grabbing in Kayunga District.
iii. To conceptualize the impact of land grabbing on the economy of Uganda using Kayunga District as a case study.

Uganda 2022-07-26 9:53:21 2025-07-26 Social Science and Humanities Non-Clinical Trial Degree Award
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"A prosperous Science and Technology Led Ugandan Society."