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Manish Parashar

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Articles

Computer Science > Social and Information Networks

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By Manish Parashar
| arXiv
Artificial intelligence is changing the scale and tempo of scientific inquiry. Models can now search, integrate, and reason over data far beyond data repositories familiar to any individual researcher. Yet this expansion creates a prior problem: before a model can produce a trustworthy scientific result, it must locate data that are appropriate for the question, sufficiently reliable for the intended analysis, and accompanied by enough context to support responsible interpretation.
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Data-usage descriptors as search metadata: the case of food security data and the National Data Platform

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By Lauren Chenarides, Natasha Noy, Manish Parashar, Simon Porter, Julia Lane, Rafael Ladislau
| Nature Verified
Abstract Scientific data is a critical input into scientific research. Yet the research data landscape is constantly changing as new datasets emerge, others are retired, or some disappear altogether. Without a systematic way to track how datasets are used across a research field, researchers have no reliable method for identifying relevant data resources or locating communities that work with them.
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Opinion: Utah’s AI innovation ecosystem can serve as a model for implementing America’s AI Action Plan

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By Manish Parashar
| Yahoo Verified
University of Utah Electrical and Computer Engineering Department professor Cynthia Furse holds an antenna over a pacemaker in her office at the University of Utah in Salt Lake City on Tuesday, May 23, 2023. Furse says artificial intelligence has been used to develop antennas for decades. | Kristin Murphy, Deseret News As I read America’s AI Action Plan, the much-awaited AI roadmap for the nation, I am delighted to see reflections of Utah’s AI innovation ecosystem.
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