📅 2024-06-29 — Session: Analyzed Institutional Dynamics in Data Science Committees
🕒 16:40–18:10
🏷️ Labels: Institutional Dynamics, Data Science, Change Management, Governance, NLP
📂 Project: Business
⭐ Priority: MEDIUM
Session Goal:
The session aimed to explore the institutional dynamics within Data Science committees, focusing on challenges related to change management, governance, and strategic planning.
Key Activities:
- Conducted a detailed analysis of the challenges faced by Data Science committees, including perceived roles, resistance to change, and strategic obstacles.
- Analyzed the committee proposal challenges, highlighting dynamics, objections, and potential governance strategies.
- Assessed institutional challenges in Data Science education, identifying issues such as lack of vision, fragmentation, and leadership challenges.
- Explored the idea of creating specialized reviews to communicate institutional challenges.
- Outlined report ideas for improving the Data Science track at a university, focusing on assessment and policy recommendations.
- Discussed leadership dynamics and strategic planning for Data Science education.
- Developed a monthly communications plan for Data Science education, including email publication strategies.
- Utilized NLP techniques for keyword extraction and topic structuring in political communication.
Achievements:
- Clarified the strategic obstacles and resistance points within Data Science committees.
- Developed strategic and communication plans to address institutional challenges.
- Proposed methods for effective governance and leadership in Data Science education.
Pending Tasks:
- Implement the proposed communication and governance strategies.
- Develop detailed reports and specialized reviews as outlined.
- Further exploration of NLP techniques for document organization.