This senior capstone experience is designed for learners who have developed skills in data analytics, including: machine learning, data cleaning/management, predictive analysis, modeling, and data ethics. The students are senior-level undergraduates majoring in Data Science OR Technology, AI and Society. They have experience in computational data analysis, mathematical modeling, data policies, and project management. All students have completed multiple courses using the Python programming language (e.g., Pandas, Numpy, NLTK, and SciKit libraries).

Expected learning outcomes and deliverables:

• Students will apply the knowledge, skills, and tools learned throughout their collegiate education
• Students will consult with project partners to develop skills to communicate with multiple stakeholders (both technical and non-technical) on a project
• Students will synthesize and apply technical knowledge acquired in other courses to real-life problems
• Student teams will think broadly and critically about the implications of technical design choices: from data collection, cleaning and analysis to assessment of socio-technical and ethical impacts