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AI in Research

This guide offers advice on AI-powered tools and functionality created for or used in academic research.

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Digital Scholarship Services

DSS fosters the use of digital content and transformative technology in scholarship and academic activities. We provide consultative and technical support for a wide range of tools and platforms. We work with the campus community to publish, promote, and preserve the digital products of research through consultation, teaching, and systems administration. Our areas of expertise include data curation, research data management, computational research, digital humanities, and scholarly communication.

ZotGPT

Note

Use of AI is fraught with complications involving accuracy, bias, academic integrity, and intellectual property and may not be appropriate in all academic settings. This guide is meant more for academic researchers looking to utilize AI tools in their research.

Students are strongly advised to consult with their instructor before using AI-generated content in their research or coursework. For information on Generative AI take a look at the Generative AI and Information Literacy guide.

Intro

There are many AI tools coming out, this is just an example list of the types of tools available. These lists are a mix of free, trials, and premium. We do not endorse the use of one tool over another, instead researchers should evaluate tools to see if they fit their needs.

Write Code To Work With Data

Standalone, free chatbots excel at generating code, and walking users through how to code a program to accomplish a task. This is useful for working with data. Try using a free chatbot, like ChatGPT, to generate code for retrieving, analyzing, or visualizing data. Then paste it into your preferred development environment. 

Look at the Writing Code tab for more information/resources.

Qualitative Data

Machine learning-based tools for automatic coding are not new in qualitative data analysis software, but some existing platforms and newer apps are introducing more generative AI features. When analyzing qualitative data from human participants, use caution in considering cloud-based tools. If personal or sensitive data is included, offline platforms may be needed to comply with university research security and IRB requirements for responsible data management.

Working with Text