Category: IT & Software Engineering

Boosting your research with generative AI – Free Participation

This seminar introduces participants to the transformative role of Artificial Intelligence (AI) in modern research. It begins with an overview of generative AI tools, demonstrating how these technologies can assist in brainstorming and generating research questions. Participants will explore both the benefits and limitations of AI in research, particularly how it facilitates interdisciplinary linkages by connecting diverse fields of study. The seminar will also cover techniques for summarising large datasets and analysing qualitative data, making research more manageable and insightful. Special attention is given to checking for bias and ensuring accuracy in AI-generated outputs. Finally, participants will learn about privacy and data security concerns, equipping them to use AI responsibly in their research projects. Through practical exercises and case studies, this seminar empowers researchers to integrate AI tools effectively while being mindful of their ethical implication.

Overview of generative AI tools
Benefits and limitations of AI in research
Generating research questions
Interdisciplinary linkage
Summarising large datasets
Analysing qualitative data
Checking bias and accuracy in AI-generated outputs
Privacy and data security concerns

Introduction to working with generative AI (GenAI)

Creative brainstorming and hypothesis generation with your digital assistant

Qualitative data synthesis and interpretation

Ethics of AI in research

Business & Management
Data Science
Digital Marketing
Employability
Financial Services and Compliance
Healthcare, Medical & Life Sciences
Human Resources
IT & Software Engineering
Soft Skills
IT & Software Engineering
Dr. James MacKay
Dr. James Mackay is an Associate Professor of Literature and Digital Cultures at European University Cyprus (EUC). He has been actively involved in numerous AI initiatives both at EUC and internationally, including delivering training in GenAI use at schools and universities in Cyprus, Greece and Ghana. He serves as a member of the European University […]
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This is an online, asynchronous course starting on the 17th of February, 2025.

This course is ideal for academic faculty, data analysts, early career researchers and PhD candidates, policy researchers, librarians, information professionals, and researchers.

Boosting your research with generative AI – Free Participation

Language: English

Mode of study: Online Asynchronous

Starting Date: 17th of February, 2025

Duration: 1.5 hours

Prerequisites: -

Free Participation

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