In Engineering—and in all research and product development—it’s essential to evaluate the quality and reliability of the information you use. Not all sources are equally trustworthy, and using inaccurate or outdated information can lead to inaccurate research outcomes, flawed designs, unsafe products, or poor decision-making.
There are several frameworks you can use to systematically assess sources:
CRAAP Test – Evaluates Currency, Relevance, Authority, Accuracy, and Purpose. This is useful for judging whether a source is up to date, credible, and relevant to your needs.
SIFT Method – Encourages you to Stop, Investigate the source, Find better coverage, and Trace claims to their original context. This is particularly helpful when evaluating online information, especially from unfamiliar sources.
More information about these methods can be found on the Misinformation Library Guide from the University of Chicago Library, linked below.
Generative AI, like ChatGPT or Gemini, is a quickly emerging and evolving source of information. It is important to consider how to evaluate this information specifically. The Artificial Intelligence LibraryGuide from the Lehigh University Libraries, linked below, provides:
Users should also remember to consider Lehigh University policies around the use of generative AI. The site Generative AI at Lehigh: Policies, Guidance, and Support, linked below, includes links to data protection and responsible use policies. Students should also make sure to check with faculty before using generative AI for any coursework.