Submission information
Submission Number: 194
Submission ID: 4445
Submission UUID: e18bfd70-92e4-44f4-8aca-98d22cc7b734
Submission URI: /form/project
Created: Mon, 03/25/2024 - 11:40
Completed: Mon, 03/25/2024 - 11:40
Changed: Mon, 10/20/2025 - 15:03
Remote IP address: 71.58.230.184
Submitted by: Carrie Brown
Language: English
Is draft: No
Webform: Project
| Project Title | Comparative Analysis of Foreign Direct Investments and Remittances to Five English-Speaking West African Countries Using Statistical, Machine Learning and Deep learning Models |
|---|---|
| Program | CAREERS |
| Project Image | |
| Tags | |
| Status | Complete |
| Project Leader | Stanley Nwoji |
| snwoji@harrisburgu.edu | |
| Mobile Phone | |
| Work Phone | |
| Mentor(s) | Iheb Abdellatif |
| Student-facilitator(s) | Nour Rashed |
| Mentee(s) | |
| Project Description | The five English-speaking West African countries, Ghana, Gambia, Liberia, Nigeria, and Sierra Leone have benefited from both foreign direct investments and remittances from their citizens in diaspora. Existing scholarship on remittances and foreign direct investments have been purely econometric with particular emphasis on the relationship of these foreign sources of income with GDP of nations (Tahir, Khan, & Shar, 2015; Comes, Bunduchi, Vasile, & Stefan, 2018; Minh, 2020; Salisu, 2020). This approach has helped scholars and practitioners understand the impact of remittances and foreign direct investments on the economy of nations. However, these studies have been made in silo and there is a dearth of literature on the comparative analysis of the yearly inflow of foreign direct investments and remittances to the five English-speaking West African countries. The assumptions are that migration from these countries leads to brain drain (Idemudia & Boehnke, 2020; Awire & Okumagba, 2020; Fofack & Akendung, 2020) and that these developing countries depend on foreign direct investments to exist (Shittu, Yusuf, El Houssein, & Hassan, 2020; Appiah-Kubi, et al., 2020). This study will therefore compare the inflow of foreign direct investments and remittances to this economic bloc to understand the impact of both to the region. Moreover, the present studies are mostly done by using econometric models. In this study, econometric, machine learning, and deep learning models will be used both to compare and forecast foreign direct investments and remittances. |
| Project Deliverables | |
| Project Deliverables | |
| Student Research Computing Facilitator Profile | The student facilitator must have the following skills: 1. High emotional intelligence to work with other students, the mentor, and the PI. 2. Proficiency in modeling data using econometric, machine learning, and deep learning models. 3. Good writing and communication skills. |
| Mentee Research Computing Profile | |
| Student Facilitator Programming Skill Level | |
| Mentee Programming Skill Level | |
| Project Institution | |
| Project Address | |
| Anchor Institution | CR-Penn State |
| Preferred Start Date | |
| Start as soon as possible. | Yes |
| Project Urgency | Already behind3Start date is flexible |
| Expected Project Duration (in months) | |
| Launch Presentation | |
| Launch Presentation Date | 05/17/2024 |
| Wrap Presentation | |
| Wrap Presentation Date | 03/05/2025 |
| Project Milestones |
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| Github Contributions | |
| Planned Portal Contributions (if any) | |
| Planned Publications (if any) | |
| What will the student learn? | |
| What will the mentee learn? | |
| What will the Cyberteam program learn from this project? | |
| HPC resources needed to complete this project? | |
| Notes | |
| What is the impact on the development of the principal discipline(s) of the project? | |
| What is the impact on other disciplines? | |
| Is there an impact physical resources that form infrastructure? | |
| Is there an impact on the development of human resources for research computing? | |
| Is there an impact on institutional resources that form infrastructure? | |
| Is there an impact on information resources that form infrastructure? | |
| Is there an impact on technology transfer? | |
| Is there an impact on society beyond science and technology? | |
| Lessons Learned | |
| Overall results |