Community Insights: Analysing and Interpreting Your Research Data with AI (Free Nature Masterclasses Workshop)
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Description
Community Insights: Analysing and Interpreting Your Research Data with AI
A Nature Masterclasses webinar
How can AI help me design or automate the data collection process?
How can I critically assess the outputs of AI-generated code?
How can I protect sensitive or unpublished data when using AI?
Artificial intelligence can support researchers at many stages of experimentation, from collecting data to
developing models, recognising patterns and troubleshooting problems. Used well, it can save time and open up new ways of working. However, reliable analysis still depends on sound research design, well-managed data and a clear analytical plan. AI cannot compensate for fundamental flaws in a study or turn poor-quality data into reliable evidence.
The challenge for researchers is knowing where AI adds genuine value and how to use it responsibly. How can they verify its outputs and manage risks such as bias, data privacy and security, and conclusions that go beyond the evidence?
In this webinar, you’ll learn from distinguished panellists with expertise in AI research, editorial practice and
policy. They will examine the role of AI across data preparation, analyses, interpretation and visualisation. They will offer practical guidance and explain where human judgement and subject expertise remain essential. Whether you are new to AI or already using it in your work, the webinar will help you make more informed decisions about its role in your research.
You will have the opportunity to submit your own questions when you register. Please keep them relevant to
analysing and interpreting research data with assistance from AI. Covered topics will help you to:
• Understand how AI can support different stages of data analysis, from planning and preparation to
coding, troubleshooting and interpreting scientific results.
• Evaluate where AI adds value while recognising when subject expertise, robust research methods and
human oversight remain essential.
• Manage research data responsibly by validating AI outputs, protecting sensitive information,
documenting AI use and following institutional, funder and publisher guidance.
• Apply AI in ways to strengthen, rather than replace, your own analytical thinking and research
expertise.
This workshop is available through the Graduate College's current institutional access to Nature Masterclasses On-Demand. Free research training courses are available to all UNLV students, postdocs, faculty, and staff.
Admission Information
This workshop is open to all UNLV students, postdocs, staff, and faculty. Please register with Nature Masterclasses.
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Nature Masterclasses