πŸ“… 2024-10-29 β€” Session: Institutional and Academic Strategy Development

πŸ•’ 15:20–15:40
🏷️ Labels: Data Science, Phd Program, Communication Strategies, Knowledge Management, Curriculum Development
πŸ“‚ Project: Teaching
⭐ Priority: MEDIUM

Session Goal

The session aimed to address various institutional and academic challenges and develop strategic plans for the Data Science track and related educational initiatives.

Key Activities

  • Summarized institutional challenges and proposed communication strategies to enhance collaboration in the Data Science track at the university.
  • Outlined a proposal for establishing a PhD program in Data Science, discussing benefits, challenges, and curriculum needs.
  • Prepared a screening agent for organizing knowledge from AI sessions, focusing on semantic memory for Obsidian vault export.
  • Summarized academic and political challenges, proposed blog content structure, and discussed data management issues.
  • Discussed MatΓ­as Iglesias’s research focus, thesis proposals, and strategies for publication and community engagement.
  • Outlined a data pipeline for mapping classmate relationships based on shared courses.
  • Analyzed specialization paths and course categorization for Data Science and Computing students.

Achievements

  • Developed comprehensive insights into institutional and academic challenges and proposed actionable strategies.
  • Established a foundational framework for a new PhD program in Data Science.
  • Enhanced knowledge management through automation.

Pending Tasks

  • Further development of the PhD program proposal.
  • Implementation of the communication strategies within the Data Science track.
  • Execution of the classmate relationship mapping project.