π 2024-10-29 β Session: Institutional and Academic Strategy Development
π 15:20β15:40
π·οΈ Labels: Data Science, Phd Program, Communication Strategies, Knowledge Management, Curriculum Development
π Project: Teaching
β 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 Iglesiasβs 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.