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Low Code for Data Science

A journal of articles written by (and for) the KNIME Community around visual programming, data science algorithms & techniques, integration with external tools, case studies, success stories, data processing, and (of course) KNIME Software.

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EDITOR’S PICK | CALL FOR EDITORS | KNIME ANALYTICS PLATFORM

📢 Call for Editors 📢

Got a flair for words and a love for visual workflows with KNIME? Join the Editorial Board of “Low Code for Data Science”

5 min readJun 2, 2025

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The current Editorial Board —

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Photo by Nick Fewings on Unsplash.

Want to join our Editorial Board? Check the “How to Apply” section below and send your application by June 30, 2025 to: LowCodeJournal@knime.com.

Four years and counting …

It has been exactly four years since we launched the community journal “Low Code for Data Science”, driven by a shared mission: To make data science more accessible.

In our very first article, “Low Code for Data Science: A New Journal”, we outlined the need for:

“(…) more knowledge and information about machine learning algorithms, data science techniques, best practices, and case studies […] using an open-source, low-code approach, targeting statisticians, engineers, marketing researchers, behavioural scientists, computer scientists, etc.”.

Four years and +600 articles later, that need hasn’t faded away. That is, all sorts of professionals still need an accessible and easy to use tool to explore their data but the way we explore our data has evolved.

Today, AI has become an integral part of the data science cycle. It accelerates implementation time, lowers entry barriers, and opens up powerful new possibilities. Low code tools like KNIME Analytics Platform have massively embedded AI functionalities within their portfolio of nodes and operations.

Our journal has kept pace too. It has gradually included more AI-focused articles. However, our mission and the mission of the journal has not changed: supporting the education and upskilling of our reader base around data processing, data science, and now also AI operations to understand and get insights from your data.

The Editorial Board

With our journal maturing, time has come to bring in more structure and transparency to how articles are submitted, reviewed, and published. That is why we are introducing a rotating Editorial Board of four experts in data analytics — each serving a six-month term.

The editorial process has three key components: submissions, reviews, and operations. To support each of these, we are looking for volunteers to take on the following editorial roles:

  • A Submission Editor oversees the submission process.
  • A Review Editor manages the review and approval of articles.
  • An Operation Editor handles the required journal’s logistics, layout and publishing tasks.
  • A Chief Editor manages the Editorial Board team.

Notice. These are volunteer-based and independent roles, with no retribution from KNIME, besides occasional travel refunds or meeting sponsorship.

Who is going to be in the next Editorial Board for the journal “Low Code for Data Science”?

Call for Editors

If you enjoy contributing to KNIME community-driven projects, learning new techniques and algorithms, growing your professional experience in data and AI, and you can spare a few hours per week — this could be the perfect opportunity.

Want to join our Editorial Board? Check the “How to Apply” section below and send your application by June 30, 2025 to: LowCodeJournal@knime.com.

Submission Editor

You’ll be the driving force behind new content — discovering fresh voices and collecting articles from the community that focus on data-related topics and showcase solutions built with the KNIME Analytics Platform.

Articles typically fall into three categories:

  • Theory: Descriptions and explanations of algorithms and specific data techniques.
  • Stories: Real-world success stories and practical implementations by detailed explanation of technical solutions to common use cases.
  • Getting started: This is the most popular category, since it collects all introductory articles to KNIME Analytics Platform for beginners.

Review Editor

You’ll overview the review and acceptance process. Sometimes articles are packed with great ideas but need refining. Some articles are well-written but go off-topic or don’t quite fit the journal’s focus. You’ll help strike the right balance — ensuring expression and technical content are both clear, accurate, and pertinent. You don’t have to review all articles by yourself. You can also build a network of reviewers from the KNIME community to help and support with this task.

Operation Editor

Behind the scenes, someone needs to keep things running. You’ll overview the operations necessary for the journal to work, from uploading or removing articles from the platform and adjusting layouts to managing visuals and updates: you’ll keep the journal tidy, readable, and engaging.

Chief Editor

This leadership role is for a data scientist with some years of experience in data and KNIME. You’ll guide and support the editorial team as coordinator and an advisor for all other more junior editors.

Serving on the Editorial Board usually requires just a few hours of commitment per week — but the impact you’ll have on the community is far greater.

How to Apply

To serve as an editor on the Editorial Board of “Low Code for Data Science” for the next six months, submit your application by June 30, 2025 to: LowCodeJournal@knime.com.

In your application, please include the following:

  • Your preference for one (or more) of the Editor roles available
  • A short paragraph describing why you’d be a good fit for the role (200 words max)
  • If you’re a prolific writer yourself, share the link to your own blog or latest published blog posts around data science (even better if you used KNIME 😀).

We are looking forward to receiving your applications!

Submit your application by June 30, 2025 to LowCodeJournal@knime.com.

FAQ

1. Are there benefits for Editors?

Yes. Editors are eligible for free access to any KNIME instructor-led courses, as well as any level of the KNIME Certification Program.

2. How much time are Editors expected to dedicate?

Editor roles typically require just a few hours of commitment per week but the impact you’ll have on the community is far greater.

3. Are Editor roles retributed?

No. Editor roles are volunteer-based and independent. While there is no monetary retribution from KNIME, occasional reimbursements for travel or sponsorship for editorial meetings may be provided.

4. Who can I contact for more information?

If you have questions about the Editorial Board, specific Editor roles, the application process, or any organizational details, feel free to reach out to us at: LowCodeJournal@knime.com.

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Low Code for Data Science
Low Code for Data Science

Published in Low Code for Data Science

A journal of articles written by (and for) the KNIME Community around visual programming, data science algorithms & techniques, integration with external tools, case studies, success stories, data processing, and (of course) KNIME Software.

Rosaria Silipo
Rosaria Silipo

Written by Rosaria Silipo

Rosaria has been mining data since her master degree, through her doctorate and job positions after that . She is now a data scientist and KNIME evangelist.

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