π 2025-03-08 β Session: Analysis and Strategic Planning for Data Science Licenciatura
π 14:40β15:10
π·οΈ Labels: Data Science, Governance, Strategic Planning, Education, Leadership
π Project: Teaching
β Priority: MEDIUM
Session Goal
The session aimed to analyze and strategize around the Data Science Licenciatura Committeeβs activities and challenges, focusing on governance, strategic planning, and educational innovation.
Key Activities
- Conducted a semantic path analysis of the Data Science Licenciatura Committeeβs notes, identifying thematic clusters such as open data, governance challenges, leadership dynamics, strategic planning, voting reforms, and institutional assessment.
- Organized content related to the management of the Data Science Licenciatura, including electoral strategies and teaching projects.
- Reflected on the academic, political, and technical management of the Licenciatura in Ciencias de Datos, covering electoral strategies, teaching innovation, and AI usage.
- Summarized strategic planning and challenges for the ComisiΓ³n de Carrera de la Licenciatura en Ciencias de Datos, focusing on governance, public engagement, and institutional challenges.
- Analyzed PEI policies and data management, emphasizing feedback processes, database schemas, and automation.
- Planned a strategic opening message for the committee, focusing on collaboration and technology adoption.
- Developed strategies for leveraging past notes to enhance communication, leadership, and curriculum development.
Achievements
- Gained insights into the strategic and operational challenges faced by the Data Science Licenciatura.
- Identified key areas for improvement and innovation in governance and education.
Pending Tasks
- Implement strategies for enhancing collaboration and technology adoption in the committee.
- Further develop communication strategies to reinforce leadership and unity.