Guides
- Welcome to the world of Artificial Intelligence (AI): This guide introduces AI and its subfields along with some terminology associated with it.
- Artificial Intelligence Basic Knowledge, Tools, and Resources: A starting point for information about AI, Generative AI, and more.
- Text Analysis: Find tools and information about TDM or text mining and analysis.
Consultations (online / in-person)
AI Model Development and Training: Assisting in the development, training, and validation of machine learning models for research projects such as:
- Natural Language Processing (NLP): Supporting text analysis and NLP projects, including sentiment analysis, topic modeling, and classification.
- TIme-Series data analysis and forecasting.
- Software and tools: Provide guidance on the different AI softwares and tools and their applications.
Workshops
- Workshops on AI and Data Science Tools: Conducting workshops on popular tools and platforms, such as Python, R, TensorFlow.
- AI/Machine learning: Offering training to improve data literacy covering topics like data ethics, data management, and basic analysis techniques.
- AI Ethics and Responsible AI: Educating the academic community on the ethical implications of AI, including bias, fairness, and transparency.
- GenAI: Usage of GenAI for research and learning.
Research Project Collaboration
- Collaborating on interdisciplinary research projects that require AI or data science expertise.
- Assist in using other library digital services such as data management and visualization.