Publish Your Writing in the NYU Data Science Review!
A complete guide to writing for the NYU Data Science Club’s publication
Table of Contents
Our mission is for the NYU Data Science Review to amplify the many voices in the NYU Data Science community. We’re always seeking students, faculty, and alumni to submit their writing for publication.
To understand the quality of work and types of content we are expecting to see, please refer to these publications and articles:
- Towards Data Science (comprehensive guide to all things data science)
- Burn Rate (Torch NYU) (discussion about personal experiences at NYU and career advice). An example article from this blog is Into the Interview.
- Harvard Data Science Review (data science in relation to research/projects). An example article from this journal is Why is Data Visualization Important?
- Also refer to the content already published at the NYU Data Science Review!
Whether it’s an editorial reflection on a data science experience, or a technical write-up after a research project, the NYU Data Science Review is the ideal place to showcase your work. We will further promote your writing on Medium, Instagram, and LinkedIn.
Keep reading for a thorough guide to what kind of content we’re looking for, stylistic guidelines, our editing process, and how you can submit.
Guidelines
There are some necessary components of a quality Medium article. The following is a quick list of things to check with your own draft.
- Does your article have a compelling, unique title?
- Does your article have a great, informative subtitle?
- Does your blog include a royalty free/properly cited image (see the following link)?
- Have you included five tags that you feel are relevant to what you’ve written about?
- Correct grammar, spelling, and punctuation?
- Factual accuracy!? Please double, triple-check to ensure.
- Does your article length fall between the 5–7 minute range?
- See below for citation and reference requirements.
Citation and References:
Please provide in-text hyperlinks to any resources you refer to in text. Additionally, list your references at the end of the article in this format:
[X] N. Name, Title (Year), Source
For example,
[1] R. Abelson, C. Jewett, When Omicron Isn’t So Mild (2022), The New York Times
Editing Process
Our submission form has two options — you can pitch an initial idea for an article, or you can submit a full draft.
If you haven’t begun writing yet but want to know whether Random Forest will publish an article you have the idea for, pitch it to us! An editor will work with you to workshop and approve the idea, as well as answer any questions you might have while writing.
If you have a full draft ready, first make sure it meets all of our guidelines. Then use the form to submit.
After submitting your draft, you will be assigned an editor who will work directly with you. This is to ensure that your draft is ready for publishing, not for thorough revision. Please have your writing as refined as possible before submitting.
The draft will also be reviewed by the NYU Data Science club faculty advisors. They will provide additional feedback as necessary.
After approval, we will add you as a writer on Medium and give you the go-ahead to submit your draft to the NYU Data Science Review publication.
Currently, the editors for Fall 2023 are
, and . We’re here to support your writing process, so please do reach out to us if you have any questions at all.Submission
If you’ve got an idea ready to pitch, or a draft ready for editing, visit this Google form to submit: https://bit.ly/rf-submit
We look forward to reading and publishing your work!
