Enoch Nsubuga Ssemuwemba
ID: UNCST-2026-R025253
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The Influence of Social and Emotional Learning on Youth Outcomes in Sub-Saharan Africa: A Case Study of Ugandan Youth in a Peri-Urban Technical and Vocational Institution
REFNo: SS5809ES
Main Objective
1. This study aims to understand how Social and Emotional Learning (SEL) skills influence the economic outcomes of youth in Uganda, particularly those transitioning from vocational education into the workforce.Specific Objectives
1. Examine whether SEL skills are associated with youth employment, income, and upward economic mobility in peri-urban Uganda.
2. Compare employment and income outcomes among youth with different levels of SEL skills during the transition from training to work.
3. Explore how young people and key stakeholders understand the role of SEL skills in shaping work opportunities and life outcomes in sub-Saharan Africa.
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Uganda |
2026-09-09 17:20:31 |
2029-09-09 |
Social Science and Humanities |
Non-Clinical Trial |
Degree Award |
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Kimberly Wortmann Teresa
ID: UNCST-2024-R003729
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Alternative Financial Modernities: The rise, debate, and disputes over Islamic banking in Uganda
REFNo: SS3121ES
1. To analyze the impact of internal tensions among Muslims, and between Muslims and non-Muslims, on the growth and development of Islamic finance and banking in Uganda.
2. To identify the main factors that have fueled the demand for Islamic banking products and institutions in Uganda since the early 1990s.
3. To examine how Muslim leaders and academics have pushed for the creation of Islamic banking in Uganda.
4. To evaluate the gendered dimensions of Islamic banking in Uganda.
5. To investigate the impact of Islamic banking on religious identity.
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USA |
2026-09-09 17:18:33 |
2029-09-09 |
Social Science and Humanities |
Non-Clinical Trial |
Non-degree Award |
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Sumayia Nakimuli
ID: UNCST-2025-R022823
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Development of a Machine Learning Model for Predicting Preeclampsia Risk Among Pregnant Women at Kawempe National Rerrefal Hospital
REFNo: HS8169ES
Main Objective
To develop and evaluate a machine learning model for predicting the risk of preeclampsia among
pregnant women attending antenatal care at Kawempe National Referral Hospital, Uganda.
Specific Objectives
1. To conduct exploratory data analysis (EDA) and feature engineering on retrospective
maternal health records from Kawempe National Referral Hospital to identify.
2. To develop and train, multiple machine-learning models, including Support Vector
Machine (SVM), Random Forest, and XGBoost, for preeclampsia risk prediction.
3. To test and validate the predictive performance of the developed machine-learning models
using an independent test dataset, comparing their diagnostic accuracy, sensitivity,
specificity, F1-score, and AUC-ROC.
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Uganda |
2026-09-09 17:17:06 |
2029-09-09 |
Medical and Health Sciences |
Non-Clinical Trial |
Degree Award |
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Christine Nalwadda Kayemba
ID: UNCST-2020-R014220
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UPTAKE AND ACCEPTABILITY OF THE MALARIA VACCINE AMONG MOTHERS AND CAREGIVERS OF CHILDREN AGED 18 TO 24 MONTHS IN MUKONO AND BUIKWE DISTRICTS, UGANDA
REFNo: HS8069ES
4.To explore, barriers and enablers of malaria vaccine acceptability and uptake as experienced by caregivers, community health workers and health system actors in the study area.,3. To explore the acceptability of the malaria vaccine among caregivers of children aged 18 to 24 months in in Mukono and Buikwe districts ,2. To determine caregiver?level, child and household, and health?system factors associated with malaria vaccine initiation and schedule completion among children aged 6 to 24 months in Mukono and Buikwe districts.,1.To estimate the proportion of children aged 18 to 24 months in Mukono and Buikwe districts who have (i) initiated the malaria vaccine (received at least one dose) and (ii) completed all doses due for their age.,To assess the uptake and acceptability of the malaria vaccine, and associated factors, among mothers and caregivers of children aged 18 to 24 months in Mukono and Buikwe districts.,
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Uganda |
2026-09-09 17:13:32 |
2029-09-09 |
Medical and Health Sciences |
Non-Clinical Trial |
Non-degree Award |
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SultanJuma Kakuba
ID: UNCST-2025-R022656
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TRADITIONAL GOVERNANCE APPROACHES DILEMMA TO LAND GRABBING MITIGATION IN BUGANDA AND ACHOLI REGIONS: A COMPARATIVE ANALYSIS OF MUBENDE AND AMURU
REFNo: SS5257ES
1. To assess the efficacy of the Buganda and Acholi traditional governance structures in mitigating land grabbing in the districts of Mubende and Amuru, respectively.
2. To examine constraints to Buganda and Acholi traditional governance structures in land grabbing mitigation in the districts of Mubende and Amuru, respectively
3. To compare and contrast the Baganga and Acholi traditional land governance structures' dilemma in the mitigation of land grabbing.
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Uganda |
2026-09-09 17:07:41 |
2029-09-09 |
Social Science and Humanities |
Non-Clinical Trial |
Non-degree Award |
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