- Data Collection and Cleaning Deliverable
Task Overview: This volunteer will work on preparing a comprehensive and high-quality dataset for analysis by collecting, cleaning, and organizing data from the World Bank, the SDG database, and UNCTAD. This dataset will connect directly to the UNMM BI platform, ensuring data is ready for seamless visualization and analysis.
Expected Output:
Output Name: InsightHub Unified Dataset Details: A fully cleaned and organized dataset, formatted as a .csv file, directly connected to the UNMM BI platform. The dataset will be accompanied by a “Data Cleaning Summary Report” (1-2 pages) that documents data sources, cleaning steps, and any data quality issues addressed. Workload: Approximately 5 hours per week over a 12-week period, with a final submission of the cleaned dataset and summary report by the end of the assignment.
- Data Visualization and Reporting Deliverable
Task Overview: This volunteer will create an interactive report titled "UNMM Insight: Progress and Opportunities", designed to highlight key data insights relevant to UN OSAA’s strategic goals. Using Flourish or Adobe Suite, this three-page report will feature interactive visualizations and summaries to be published on the UNMM platform.
Expected Output:
Output Name: UNMM Insight: Progress and Opportunities Report Details: A three-page interactive report in Flourish or Adobe Suite, featuring three distinct visualizations with interactive elements, narrative explanations, and a “User Guide for Interactivity” (1 page). The report will be available for viewing and interaction on the UNMM platform. Workload: Estimated at 5 hours per week over a 12-week period, with the final interactive report and user guide due by the end of the assignment.
- Research and Machine Learning Analysis Deliverable
Task Overview: This volunteer will conduct a machine learning analysis on the dataset, focusing on identifying patterns, trends, and strategic insights. The result will be a structured report that highlights the analytical findings and suggests actionable applications for the InsightHub system.
Expected Output:
Output Name: InsightHub Machine Learning Analysis Report Details: A detailed, five-page report that documents machine learning methods, key findings, and a section on actionable insights for strategic initiatives. This report will also include a “Summary of Applications” (1 page) that outlines practical applications for the identified insights within InsightHub. Workload: Approximately 5 hours per week over a 12-week period, with the final report and summary of applications completed by the end of the assignment.
- AI Application Feature Development Deliverable
Task Overview: This volunteer will develop a functional prototype feature using Python and large language models (LLMs) that can be integrated into InsightHub. This feature will be designed for automated data analysis or another targeted functionality, aimed at enhancing InsightHub’s operational efficiency.
Expected Output:
Output Name: InsightHub AI Analysis Feature Prototype Details: A working prototype feature coded in Python, utilizing LLMs, with documentation for functionality and a “Prototype User Guide” (1-2 pages). The prototype will undergo initial testing and be ready for integration into InsightHub, enhancing its capacity for automated data analysis. Workload: Estimated at 5 hours per week over a 12-week period, with the fully documented prototype and user guide due by the end of the assignment.