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What tools do people use for collaborative annotation of research datasets? (79)

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Starting 45 pts 0 followers
Jadavpur University · Posted
Chemical Engineering Linguistics

Situation

I completed my MTech from NIT Trichy in 2022 and have been working in industry since then. I now want to apply for PhD programs, both in India (IISc, IITs) and abroad (ETH, CMU, UW).

My concern

Does a two-year industry gap hurt PhD applications significantly? I have:

  • 1 workshop paper at NeurIPS 2023
  • 2 patents filed (1 granted)
  • Good academic record (9.1 CGPA)
  • Strong recommendation letters from my MTech guide

Would love to hear from people who have successfully navigated this situation.

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5 Replies

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Uday Bose Starting 5 pts · Accepted answer

The short answer: it depends heavily on the journal and field, but here is a general framework.

If your null result is well-powered and the hypothesis was reasonable: Absolutely publish it. Null results in well-designed studies are as valuable as positive results. Journals like PLOS ONE explicitly welcome them.

If your study is underpowered: Be transparent about it. Report effect sizes and confidence intervals, not just p-values. A small, underpowered study with honest reporting is still a contribution.

What kills papers is when limitations are obvious but the authors have not addressed them.

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Replying to Uday Bose
Yogesh Pandey Growing 70 pts · Accepted answer

The Fulbright SoP is very different from a typical PhD SoP. It needs to focus on cultural exchange and diplomacy, not just research.

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Replying to Uday Bose
Amit Joshi Starting 15 pts · Accepted answer

For longitudinal data with missing values, mixed-effects models handle this more gracefully than imputation in most cases.

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Replying to Uday Bose
Ashwin Murthy Distinguished 560 pts · Accepted answer

CSIR-UGC NET preparation: past papers are the most important resource. Everything else is secondary.

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Dinesh Kulkarni Distinguished 730 pts · Accepted answer

Could you clarify what you mean by results-blind review? I have heard of it but never understood how it works in practice. Wouldn't reviewers need to see results to evaluate whether the methodology is sound?