Artificial intelligence (AI) has opened up many new possibilities for improving the quality and productivity of research. However, it comes with serious risks, both ethical and scientific. We review available tools and their possible benefits and pitfalls, discuss the evolving landscape of adoption and regulation of AI-assisted research activities, and outline the beginnings of best practices for using AI in your research in a responsible and ethical manner.

Note: This workshop will only be taking place in person. Please RSVP by clicking the "Register" button at the top so we can ensure we have enough availability! Thank you so much!

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The workshop covers the fundamentals of Research Data Management (RDM), highlighting its importance throughout the research lifecycle while specifically introducing FIU Libraries' data services, including the Research Data Portal built on Dataverse technology. The presentation explains how proper data management enhances research integrity, efficiency, and compliance with funding requirements, while providing practical guidance on data preparation, formatting, and repository selection.

Note: This workshop will only be taking place via Zoom. Please register by clicking here. Thank you so much!

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How does a computer science and AI professor end up collecting water data in Biscayne Bay? Dr. Gregory Reis will trace the path from a coding problem to a robot boat and show what collaborative research really looks like day to day, including the parts nobody puts in the paper.

Note: This workshop will only be taking place in person. Please RSVP by clicking the "Register" button at the top so we can ensure we have enough availability! Thank you so much!

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Desision-making around how data is collected, evaluated, stored, and maintained can play a critical role in shaping research outcomes. In this workshop, we will consider data integrity, including accuracy, completeness, accountability, and common threats to validity and reliability. Through discussions and interactive activities, participants will engage with best practices, strategic techniques (e.g., version control and documentation), and practical resources to ensure quality, as well as anticipate and mitigate risks, throughout the data lifecycle.

Note: This workshop will only be taking place in person. Please RSVP by clicking the "Register" button at the top so we can ensure we have enough availability! Thank you so much!

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