A number of library e-resource platforms have begun to incorporate AI-based tools.
This link opens in a new wiJSTOR now includes "Experimental" semantic search results, and an AI research tool, details here. Users who are signed into a personal account and have authenticated through their subscribing institution should see a pop-up that asks if they would like to sign up to try the tool. If you do not see this pop-up and believe you should, please email support@jstor.org.
This AI-powered research companion enhances students' academic work by streamlining the research process. It offers improved search functionality, document analysis capabilities, and quick relevance evaluation, while also providing guidance on topic selection and concept comprehension. Read more about this tool here.
Scite
Scite is an AI-powered tool that analyzes scientific publications and their citations. It provides quantitative and qualitative insights into how papers cite each other, using deep learning to process full-text articles.
To use:
Visit https://scite.ai
Click the blue "Sign Up" button in the top right corner
Create an account using your @montana.edu address. (Bypass all Google/ORCID and credit card prompts)
This link opens in a new windStatista provides data about finance, markets, politics, and society across over 170 industries and over 150 countries. Statista integrates data from many sources into one platform with ready-made data tables and visualizations. Sources of information include market research, trade publications, scientific journals, and government databases. Its Research AI tool references data curated by Statista and accesses GPT-4 Turbo for conversational question & answer, and search. Reach more about how Statista Research AI works.
Some text on this page was adapted from the AI Tools for Research guide from Temple University, which is licensed under CC BY-NC-SA 4.0.
Unless otherwise noted the content on this LibGuide is licensed under a Creative Commons Attribution 4.0 International License.