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https://github.com/geyang/iclr_2018_analysis

Analyzing the submission metadata from ICLR 2018
https://github.com/geyang/iclr_2018_analysis

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Analyzing the submission metadata from ICLR 2018

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# Analyzing ICLR 2018 Submission and Review Data

Earlier today I wanted to figure out how well my reviews are compare to the cohort. So I decided to do a bit of analysis on the submissions data for this year's ICLR. A few interesting things stood above the others:

1. distribution of scores is centered slightly above 5
2. There seems to be too many 4's, too little 3's. People are being nice when they really should give out 3's.
3. There is a lot of foot traffic commenting on the submissions as soon as the deadline passes. Surprisingly, people comment the least on Sundays.
4. Actual reviewers don't take breaks on weekends.

## Distribution of ratings

Looks like the average rating is just above 5.

![all_scores.png](./figures/all_scores.png)

Pink histogram shows the distribution of the average rating for each submission. Blue shows that of all ratings data without being bucketed by submission.

- The ratings are mostly center around 5 (5.23 to be exact).
- The distribution of scores is skewed and asymmetric
- Virtually no 10, with a few 1's

| Stats | Result |
|:---------- |:------ |
| mean | 5.23 |
| median | 5.33 |
| our rating | 5.33 |

## When Do People Submit, Comment, or Review?

It is also interesting to look at when people submit their paper and reviews. Figure below shows the submission frequency versus time.

![./figures/submission_timeline.png](./figures/submission_timeline.png)

Looks like people start looking at the papers as soon as the review period starts! The actual reviewers though, only do so half way through. It is unclear if this have something to do with how the review assignments are arranged and handed out.

Also interestingly, people comment much less on Sundays! The comment frequency shows strong weekly cyclicity. On the other hand, the review submissions are not. A possible explanation is that reviewers tend to be grad students and junior professors, who don't have a lot of family commitments.

## Is it better to submit later?

- [ ] todo: look at the distribution w.r.t. submissions submitted at different time.