Enhancing Program Evaluation Research by Leveraging AI for Integrated Analysis of Mixed-Methods Data

Description

The primary objective of this project is to utilize AI and machine learning to improve the analysis of mixed-methods research involving surveys and focus group designs for program evaluation. By leveraging advanced technologies, we seek to gain a more comprehensive understanding of the data, extract meaningful insights, and enhance the efficiency of analysis processes.

Duration

Total project length: 175 hours

Task ideas

Expected results

Requirements

Proficiency in programming languages such as Python, Java, or C++, knowledge of machine learning frameworks, solid understanding of statistical analysis, data visualization, and data preprocessing

Project difficulty level

Easy to Intermediate

Test

Please use this link to access the test for this project.

Mentors

Please DO NOT contact mentors directly by email. Instead, please email human-ai@cern.ch with Project Title and include your CV and test results. The mentors will then get in touch with you.

Corresponding Project

Participating Organizations