Developed Thesis Topics for Data Science

• Day: 2024-07-04
• Time: 15:00 to 16:20
• Project: Teaching
• Workspace: WP 1: Strategic / Growth & Development
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Tesis, Ciencias De Datos, Salud Pública, Modelado Predictivo, Publicaciones

Description

Session Goal:

The session aimed to develop and present a variety of thesis topics for undergraduate students in Data Science, focusing on areas such as public health, economics, public policies, and sustainability.

Key Activities:

• Proposed several thesis topics related to data analysis in public health, predictive modeling of social issues, and more.
• Outlined prestigious journals for publishing research on machine learning models applied to survey and census data, particularly in the context of economic policies in Latin America.
• Provided a guide on key international and local journals impacting economic discourse in Argentina.
• Presented a manual for thesis directors in Data Science, covering initial preparation to final evaluation.
• Proposed a thesis on integrating survey and census data using machine learning models to enhance socio-economic analysis.

Achievements:

• Successfully outlined diverse thesis topics and resources for publication and mentorship in Data Science.

Pending Tasks:

• Organize a meeting to discuss the presented thesis topics in detail.

Evidence

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