Research scientist needs intelligent search through nested citations in papers
"I work in post-secondary higher education (university). I, like many, wear multiple hats. First, I am a research scientist. I travel the world coring lake samples and looking at algae fossils to better understand climatic variation. Secondly, I am an educator. I have taught students at universities in the US, Holland, Lithuania, and S. Korea. Third, I am Director of Institutional Research (student statistics). Fourth, I am a faculty adviser to undergraduate and graduate students.
One of the biggest problems facing my primary role as a research scientist is that information is often obscured by nested citations. That is, to get to the original methodology of a particular technique, one must spend tens to hundreds of man-hours simply going back through papers to figure out a small nuance in methodology that was never cited following that initial paper (e.g., XYZ et al publishes a paper, its methodology is cited, which is then cited without giving reference to the initial XYZ et al publication, repeat ad infinitum). If there was a software that could drill down to initial creators it would be an incredible time and resource saver.
The only method I could see is to create an AI search engine that could understand what it is I am looking for given a certain set of criteria. Current methods using tags do not work well and are often more time consuming than are helpful.
I make around $35/hr (salary, but broken down)... I would reasonably pay $1500-1700 for this software (more so if it could also manage my citation library)"
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and I'll launch a landing page, and email 100 prospective customers in the industry. Then I'll send you the results as well as all their email addresses.
All for just $50.
Upvote this opp and I'll reach out to people in this industry to see if there is widespread demand.
I'm not sure what merit the AI aspect would be, but the idea of obtaining all nested citations (to a certain distance) and then searching within them is certainly doable. I think it would require the assumption that your original methodology lies somewhere in the resulting network, rather than sourcing non-cited references.