📅 2024-07-04 — Session: Developed Thesis Topics for Data Science
🕒 15:00–16:20
🏷️ Labels: Tesis, Ciencias De Datos, Salud Pública, Modelado Predictivo, Publicaciones
📂 Project: Teaching
⭐ Priority: MEDIUM
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.