πŸ“… 2025-03-08 β€” Session: Analysis and Strategic Planning for Data Science Licenciatura

πŸ•’ 14:40–15:10
🏷️ Labels: Data Science, Governance, Strategic Planning, Education, Leadership
πŸ“‚ Project: Teaching
⭐ Priority: MEDIUM

Session Goal

The session aimed to analyze and strategize around the Data Science Licenciatura Committee’s activities and challenges, focusing on governance, strategic planning, and educational innovation.

Key Activities

  • Conducted a semantic path analysis of the Data Science Licenciatura Committee’s 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.