wabomba kadili
ID: UNCST-2025-R017841
|
PUBLIC DEBT AND INVESTMENTS IN THE EAST AFRICAN COUNTRIES
REFNo: SS4146ES
The main objective of the study will be to investigate public debt and investments in the East African countries from 1990-2023
Specific Objectives of the Study
1. To examine the effect of External Debt on Investment in the East African Countries
2. To determine the impact of Public Debt servicing obligations on Investment in the East African Countries
3. To assess the control effects of inflation, exchange, and interest rates on the relationship between public debt and investment in East African countries
4. To Analyze the Overall Relationship Between External Debt and Investment in the East African Countries
|
Uganda |
2025-08-08 13:55:54 |
2028-08-08 |
Social Science and Humanities |
Non-Clinical Trial |
Degree Award |
|
Nuluyati Nalwadda
ID: UNCST-2025-R017243
|
Learning for Social Inclusion of Refugee Women in Host Communities: Perspectives from Uganda.
REFNo: SS4071ES
1.Explore the learning experiences of refugee women in host communities.
2.Examine how refugee women’s participation in learning facilitates their social inclusion in host communities.
3.To investigate the barriers refugee women face in accessing and participating in learning and their impact on social inclusion
4.To contribute to the existing literature on the strategies for improving the learning and social inclusion experiences of refugee women in host communities.
|
Uganda |
2025-08-08 13:54:38 |
2028-08-08 |
Social Science and Humanities |
Non-Clinical Trial |
Degree Award |
|
Joyce Nakatumba-Nabende
ID: UNCST-2020-R014244
|
Exploring the Role and Feasibility of Natural Language Processing Techniques to Improve Mental Health Services in Uganda and Tanzania
REFNo: SIR540ES
4. To evaluate the developed ASR/NLP models in a real-life, prospective pilot in the call center in Uganda (Butabika Hospital) on different aspects of call center communication and operation. Examples include voice-based IVR tree navigation, call issue escalation, and real-time summaries (dashboards) of call data based on model outputs. The exact applications will be decided upon with users during project execution, based on clinical relevance and technical feasibility (performance of the models from objective 3).,3. To develop Automatic Speech Recognition and Natural Language Processing models for transcription, translation, sentiment and emotional analysis, topic modeling (keyword spotting), and automatic communication quality assessment of call conversations. These trained models will be used in the pipeline to extract mental health indicators and markers from mental health recordings, as well as text transcripts of the call center recordings, to develop an overall scoring of patient mental health.,2. To curate and annotate mental health recordings and text datasets in English, Luganda, and Swahili. This will result in AI-ready datasets that will be used to train models to extract insights about mental health automatically. This process will also result in clear guidelines for data annotation and quality assurance, and inter- and intra-rater agreement measures when labelling data for mental health conditions.,1. To explore the knowledge, attitudes, and practices of stakeholders in regard to the use of ASR, NLP, AI, and other digital health tools in mental healthcare. From this, we shall also elicit the requirements for the design and operationalization of a mental health telephone service (call center) in Tanzania and the improvement of the existing mental health telephone service in Uganda (e.g. incorporation of ASR and NLP tools).,To explore the role and feasibility of Automatic Speech Recognition (ASR) and Natural Language Processing (NLP) techniques in improving mental health services in Uganda and Tanzania. Our initial focus is on using these techniques to address the extant mental health data scarcity and studying the quality of conversations between patients and providers of mental health care services.,
|
Uganda |
2025-08-08 13:50:08 |
2028-08-08 |
Engineering and Technology |
Non-Clinical Trial |
Non-degree Award |
|
Claire Nimusiima
ID: UNCST-2025-R017994
|
Assessing the association Between Disability and Mental Health among older adults: A Secondary Data Analysis of the Health and Wellbeing of Older People - Wave 5 study in Uganda.
REFNo: HS6244ES
Primary Objective
To assess the association between disability and mental health outcomes among older adults in Uganda.
Secondary Objectives
- To determine the prevalence of mental health disorders among older adults with and without disabilities.
- To explore whether any socio-demographic factors modify the association between disability and mental health outcomes.
- To assess whether HIV status confounds the association between disability and mental health outcomes.
|
Uganda |
2025-08-08 13:49:11 |
2028-08-08 |
Medical and Health Sciences |
Clinical Trial |
Degree Award |
|
AGABA DAVID
ID: UNCST-2025-R018138
|
Determinants of private investment and economic growth in Uganda 1990-2023
REFNo: SS4145ES
i. To establish the short and long term effect of interest rate on economic growth
ii. To establish the short and long term effect of foreign exchange on economic growth
iii. To establish the short and long term effect of inflation on economic growth
|
Uganda |
2025-08-08 13:47:55 |
2028-08-08 |
Social Science and Humanities |
Non-Clinical Trial |
Degree Award |
|
| View |
|
Sort By: |
|
|
|
| |
|