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An important piece on #AI generated #preprints and why it's important to consider their impact on scientific ecosystem.

Some other important considerations related to this that are not covered in the article 👇

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12. When exploring research gaps with AI

A Define the domain, key questions & audience
B Refine your queries, by deep diving specific subtopics
C Save the AI responses
D Be critical; AI is fallible!
E Link gaps to methodologies

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#11. Flip questions

If you're still in the exploratory phase, ask AI about the exact OPPOSITE of the topic for review.

"Rank studies on corporate social irresponsibility since 2010. Explain your ranking."

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If you thought this stream of 10 posts on using AI in Research within Higher Education was useful, or want more on a specific topic, reply or drop me a chat.

Thanks

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10: Be Critical! AI is just a tool and is fallible.

✅ Justify your use of A, even for searches
✅ Validate AI-generated content using approved sources.
✅ Use it to support - not replace - your academic rigour.

✅ Do your own thinking!

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9: Academic Integrity

Check if/what use of AI or platforms like Elicit conforms with your institutions' policies. Discuss this with your supervisors. Be FULLY transparent on how - any why - you will use AI. Record all AI use (everything)

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#8: Only dive deep once you have the full picture.

“Summarize the relevance of [X] for [field or audience].”
“Explain the significance of studying [X] in [Y].”

versus

"Can theories from fields like [V] offer insight on [X]"?

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(Wish this was around when I started)

#7: Use AI to find research gaps: -

“What areas in [X] are underexplored?”
“What future research for [X] did [Y] specify?”
"Has [C] been pursued since 20xx?"

Refine, squeeze, rinse & repeat!

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6: Drafting a Conference Paper

“Write a 300 word abstract for a study on [X], on [methodology or findings].”

Review and refine.
Who is the audience?
What do you want to achieve?

Limit the AI search to your Notebook LM library.

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5: Build a Theory Map by asking :

“Explain how [theory] applies to [X].”
“Compare [Theory A] and [Theory B] in [Y].”
"Find minority reports or contrarian theory on [X]"
"Which authors have criticized [Theory A]?"
"Who supports [Theory B]?"

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4: Explore methodologies using AI: -

“How might qualitative interviews explore X since 2010?”
“Find examples of mixed-method studies in Y?”
"Find meta-analyses in Z"
"Find critiques of methodology in studies on X / by U"

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#2: Developing a Literature Review Skeleton
Ask Elicit, Litmaps, ResearchRabbit these questions: -

📚 “What are the seminal articles in [subfield]?”
🧠 “What are foundational studies on [topic]?”
📚 “Which frameworks are used in [subfield]?”

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#1 AI can help brainstorm. Start with:

1️⃣ The topic.
2️⃣ Your needs (e.g., trends, gaps, theories).
3️⃣ An open question
4️⃣ The audience e.g., policymakers, PhD supervisor

What theories on climate justice relevant for policymakers have emerged since 2010?

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a black cat is playing with an apple laptop on a wooden table . ALT: a black cat is playing with an apple laptop on a wooden table .

I'm writing a blog for a university & recommending useful AI tools (used ethically and responsibly of course) for lit search, reading/ writing. 3 tools I'm highlighting: @elicit.com, Researchrabbit & ChatPDF. Any suggestions welcome & I can point students to this # #AI4Research #AcWri #AcademicSky

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