Strategic Planning for Data Science and Electoral Campaigns

  • Day: 2024-10-29
  • Time: 15:20 to 15:40
  • Project: Business
  • Workspace: WP 1: Strategic / Growth & Development
  • Status: In Progress
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Data Science, Electoral Campaign, Curriculum Development, Team Management, Automation

Description

Session Goal:

The session aimed to explore strategic planning within the Data Science educational track and electoral campaigns, focusing on institutional challenges, curriculum development, and campaign strategies.

Key Activities:

  • Institutional Challenges: Discussed leadership dynamics and communication strategies to enhance collaboration within the Data Science track at the university.
  • PhD Program Proposal: Outlined feasibility and considerations for establishing a PhD program in Data Science, including curriculum and research needs.
  • Screening Agent: Prepared an automation agent for organizing AI session knowledge, focusing on semantic memory.
  • Academic and Political Challenges: Summarized discussions on challenges and proposed blog content structure.
  • Thesis Development: Reviewed Matías Iglesias’s research focus, thesis proposals, and publication strategies.
  • Relationship Mapping Project: Outlined a data pipeline for classmate relationship mapping based on shared courses.
  • Curriculum Analysis: Analyzed specialization paths and course categorization for Data Science students.
  • Electoral Campaigns: Developed strategies for voter mobilization and narrative development for the LCD.
  • Team Role Structuring: Proposed role structures for campaign teams to optimize mobilization and communication.

Achievements:

  • Developed comprehensive strategies for both educational and electoral contexts.
  • Initiated automation for knowledge management.
  • Proposed a structured approach to curriculum and thesis development.

Pending Tasks:

  • Further refinement of the PhD program proposal.
  • Implementation of the screening agent for knowledge management.
  • Execution of the electoral campaign strategies and role assignments.

Evidence

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  • event_ids: []