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  
Tom Joseph Mukasa
ID: UNCST-2025-R022357
INTEGRATING LIFECYCLE SUSTAINABILITY ASSESSMENT METRICS INTO COST MANAGEMENT PRACTICES: A MODEL-BASED APPROACH FOR UGANDA\'S PUBLIC SECTOR CONSTRUCTION PROJECTS
REFNo: SIR645ES

This research aims to develop a model for integrating Lifecycle Sustainability Assessment (LCSA) metrics into cost management practices within Uganda's public sector construction projects. This model seeks to enhance cost accuracy, improve transparency, and achieve better sustainability outcomes. To achieve the general objective, the research will focus on the following specific objectives: 1. Analyse the current cost management practices in Uganda’s public sector construction projects. 2. Evaluate the applicability of Lifecycle Sustainability Assessment metrics in Uganda's public sector construction projects. 3. Investigate the prospects for integrating Lifecycle Sustainability Assessment metrics into public sector cost management practices. 4. Develop a model for integrating Lifecycle Sustainability Assessment metrics into public sector construction cost management practices.
Uganda 2026-07-09 18:42:31 2029-07-09 Engineering and Technology Non-Clinical Trial Degree Award
Kambaho Narasi Anyijuka
ID: UNCST-2026-R024595
The role of the mass media campaigns in promoting Technical and Vocational Education and Training in Uganda
REFNo: SS5205ES

1.To analyze public perceptions of mass media campaigns’ influence on TVET in Uganda.
2.To analyze the mass media campaigns employed in TVET promotion in Uganda.
3.To assess the effectiveness of mass media campaigns in increasing awareness of TVET in Uganda

Uganda 2026-07-06 16:31:00 2029-07-06 Social Science and Humanities Non-Clinical Trial Degree Award
Stephen Balinandi Karabyo
ID: UNCST-2023-R007529
Bunyavirus Research into Disease, Global Immunity, and Epidemiology (BRIDGE) in Uganda
REFNo: HS7738ES

1. Describe the prevalence and characteristics of long-term sequelae among bunyavirus survivors compared to controls. 2. Describe immune responses in bunyavirus survivors including antibody levels, T-cell responses, and B cell memory compared to controls
Uganda 2026-07-06 16:23:55 2029-07-06 Medical and Health Sciences Non-Clinical Trial Non-degree Award
Vicent Ssenyondo Patrick
ID: UNCST-2025-R022030
Evaluating the feasibility of screw Pile foundations for sustainable housing in smart city development
REFNo: SIR674ES

Main Objective To improve the livelihood of low-income earners living in emerging smart cities by providing guidelines to the construction of organized, safe and affordable housing facilities for low-income earners. This will be achieved by evaluating the feasibility of screw Pile foundations to support low-cost houses. Specific objectives (i) Examine the existing standard designs of housing for low-income earners. (ii) Determine the soil properties and conditions (iii) Design an appropriate experimental setup that can model screw pile (iv) Formulate the design charts to guide the design of a stable foundation
Uganda 2026-07-06 15:59:52 2029-07-06 Engineering and Technology Non-Clinical Trial Non-degree Award
Juma Ndhokero
ID: UNCST-2026-R023346
Hybrid Statistical Modelling of Climate Change Impact on Smallholder Rice Production Systems in Uganda
REFNo: NS1270ES

I. To assess the effects of climatic and non-climatic factors on rice yield in Uganda’s smallholder systems. II. To examine the relationship between climate variability and production efficiency in smallholder rice farming systems. III. To fit and validate hybrid Statistical models that Combine Classical Statistical Methods with Machine Learning Techniques to Simulate Rice Yields under RCP4.5 and RCP8.5 Climate Scenarios. IV. To compare the predictive performance of statistical, machine learning, and hybrid models in forecasting rice yields under climate change scenarios. V. To identify and prioritise climate-smart adaptation strategies based on empirical modelling and stakeholder insights.
Uganda 2026-07-06 15:57:48 2029-07-06 Natural Sciences Non-Clinical Trial Degree Award
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