JOEL KASIBANTE ALBERT
ID: UNCST-2025-R022443
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MIXED-METHODS IMPACT EVALUATION OF THE DIMITRA CLUBS PROJECT IN UGANDA’S AMOLATAR DISTRICT
REFNo: SS4697ES
Main Objective / Purpose
The impact evaluation seeks to understand how participation in Dimitra Clubs influences women’s empowerment and social inclusion. It will assess changes in social cohesion—such as trust, community participation, collective problem-solving, and conflict resolution. The evaluation will further examine how the Clubs strengthen women’s agency, confidence, decision-making power, and access to social and economic resources, while also observing shifts in gender norms among both women and men. Lastly, the study aims to determine whether involvement in the Clubs reduces experiences of intimate partner violence.
Specific Objectives (Polished & Summarised)
1. To evaluate how the Dimitra Clubs enhance women’s intrinsic agency, including autonomy over income decisions and overall self-efficacy.
2. To explore changes in intra-household gender dynamics, including men’s engagement in domestic roles and how household resources are controlled or allocated.
3. To determine whether participation in the Clubs is associated with a reduction in intimate partner violence.
4. To assess the influence of the Clubs on participants’ social cohesion, focusing on trust, relationships, community participation, and confidence in local institutions.
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Uganda |
2026-04-10 14:58:12 |
2029-04-10 |
Social Science and Humanities |
Non-Clinical Trial |
Non-degree Award |
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Robert Anguzu John
ID: UNCST-2024-R015949
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Development of cassava agro-industrialization in Uganda: An innovation systems perspective.
REFNo: A531ES
1. Establsih the roles and interactions of key actors in the context of cassava agro-industrialization in Uganda.
2. Examine how the systemic bottlenecks in cassava innovation system affect the development of cassava agro-industrialization.
3. Explore the effectiveness of linkages between agro-industries and community- based value addition actors in promoting cassava agro-industrialization.
4. Establish the suitability of existing policy context and incentive systems in promoting the development of cassava agro-industrialization.
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Uganda |
2026-04-10 14:51:58 |
2029-04-10 |
Agricultural Sciences |
Non-Clinical Trial |
Degree Award |
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DOROTHY EGO AKAO
ID: UNCST-2026-R023556
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ASSESSMENT OF THE QUALITY OF UNDERGROUND WATER CONSUMED BY GULU UNIVERSITY COMMUNITY USING WATER QUALITY INDEX
REFNo: NS1211ES
1. To identify anthropogenic factors that affect the quality of underground water in Gulu University community.
2. To determine physico-chemical parameters (DO, COD, BOD, pH, temperature, electrical conductivity, nitrates, turbidity, phosphates and hardness) in the underground water consumed by Gulu University community.
3. To determine the microbiological parameters in the underground water consumed by Gulu University community.
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Uganda |
2026-04-02 18:01:31 |
2029-04-02 |
Natural Sciences |
Non-Clinical Trial |
Degree Award |
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Justine Nakintu
ID: UNCST-2019-R001223
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Nutrient enrichment of Maize Flour for a Dietary Balanced Breakfast: Fortification
with Jackfruit
REFNo: A747ES
i. To determine concentrations of proteins, vitamins, minerals and phytochemicals in the different varieties of jackfruit
ii. To fortify maize flour with different proportions of jackfruit and determine the concentrations of proteins, vitamins, mineral and other phytochemicals in un-fortified maize flour and jackfruit-fortified maize flour
iii. To establish the sensory acceptability of porridge made from jackfruit fortified maize flour
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2026-04-02 18:00:32 |
2029-04-02 |
Agricultural Sciences |
Non-Clinical Trial |
Non-degree Award |
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Lynn Tar Janet Gutu
ID:
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An AI system to assist the visually and auditory impaired by generating speech from text queries and vice versa for Uganda’s local languages
REFNo: SIR633ES
To pen source the collected linguistic datasets and baseline models to support future research, foster collaboration, and create a foundation for broader AI innovation in low-resource languages.,To develop and deploy a user-friendly platform that enables easy and inclusive access to the system for impaired and non-impaired users alike.,To build and train multilingual TTS and LLM models for at least five Ugandan languages. ,To develop and deploy a locally managed AI system with multilingual TTS and LLM capabilities that supports Uganda’s most widely spoken indigenous languages, with a particular focus on enhancing accessibility for visually and auditory impaired communities, while promoting inclusivity, education, and digital innovation.,
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Uganda |
2026-04-02 17:59:20 |
2029-04-02 |
Engineering and Technology |
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Non-degree Award |
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