Sentence examples for real world research from inspiring English sources

The phrase "real world research" is correct and can be used in written English.
You can use it to refer to research conducted in the environment or settings that reflect the everyday life of people, rather than in a laboratory setting. For example, "This project will involve real world research to better understand how people interact in their everyday lives".

Exact(17)

Students like that, because it's real world research and you can see results quickly".

We believe that such discussion is essential to help train students for real world research.

In the real world, research demonstrated that the safety experience is considered a contributing factor to assisting in hazard recognition (Karwowski 2006; Moran 2003).

This study examined the usefulness of co-teaching with research and development (R&D) professionals to integrate real world research experience into an Engineering Biotechnology course.

"The motorcycle allows riders to operate controls and lean on the motorcycle as they would in the real world," research leader Dr Alex Stedmon said.

She and her team leverage online and real world research to provide Trendera's cutting edge services to help clients gain a competitive advantage.

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Similar(43)

After the archives comes real-world research.

MMR concepts are applied and integrated with nutrition-related scenarios in real-world research contexts and summary recommendations are provided.

This characteristic of nursing home cluster randomized trials makes them approximate "real-world" research contexts, but implementation can be challenging.

It seems that non-explicit teaching, with no reflection and with no connection made between the practical work in school and real-world research, limited the potential of the inquiry project to improve the NOS understanding.

These designs are informed both by preclinical studies and by real-world research that can establish proof of concept for a novel biomarker and provide a basic understanding of the relationship between biomarker and clinical outcome.

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