Training

26 articles · Latest May 15, 2026

eScience Editorial Team·May 15, 2026

Co-Designing a Roadmap for Training on Research Software Templates and Code Auditing

Training materials are most effective when they are created hand-in-hand with the communities who will actually use them. Photo of the eventBy Manuel G. Garcia and Serkan Gigin. Tr...

eScience Editorial Team·Oct 30, 2024

Beyond research

Beyond research ‘Beyond research’ is a new mini-series we are starting on the eScience Center blog. We want to give you some insight into the interests, hobbies and accomplishments...

Pablo Rodríguez-Sánchez·Feb 13, 2024

Differentiation without subtraction

54 A surprising application of complex numbers Photo by charlesdeluvio on Unsplash Some time ago I came across one of those ideas that makes you wonder: “why nobody told me about t...

Barbara Vreede·Aug 30, 2023

Why your research deserves to be an R package

1 If after reading this post you are motivated to make your own R package, consider joining our upcoming workshop! Free tickets are now available. If you are an R user, think about...

Florian Huber·Jun 26, 2023

Mcfly: An easy-to-use tool for deep learning for time series classification

A new mcfly 3.0 release is out. See how it works and how it can help you to apply deep learning to time series classification. Florian Huber·Apr 15, 2020 Once the models are genera...

eScience

Carsten Schnober·Jun 1, 2023

Language Modeling: The First 100 Years

ChatGPT has become the symbol for a new wave of Artificial Intelligence. New models with even stronger conversational skills are released on a weekly basis, and the world discusses...

Aron·May 4, 2023

Molecular Simulations using Machine Learning, Part 3

24 In the first part of this series we looked at the physics of simulating molecules, and went from quantum mechanics to something that is more efficient to solve, namely density f...

Aron·Apr 13, 2023

Molecular Simulations using Machine Learning, Part 2

In this post, I will walk through the process of designing a model used in molecular simulations, from essential to state of the art. This is the second part of a series on using m...

Pablo Rodríguez-Sánchez·Mar 16, 2023

The bike and the laptop

Reflections on machines that help you Photo by Cale Weaver on Unsplash Students pay attention (sometimes) I was 17, my face was covered in acne and my hair was (awkwardly) long. I...

Sonja Georgievska·Feb 23, 2023

The hidden dangers of using XAI carelessly

Congrats! Your ML model is finally XAI-ready. But before you start patting yourself on the back, have you pre-processed your features? If so, watch out for those SHAP values, they...

Florian Huber·Jan 31, 2023

Build a mass spectrometry analysis pipeline in Python using matchms — part II: Spec2Vec

After “part I” which gave an introduction on how to import, process, and analyze a tandem mass spectra dataset using Python and matchms, “part II” will add Spec2Vec to the game, a...

eScience

eScience Editorial Team·Jan 12, 2023

The Data Science Centre: Digital expertise Hub at UvA

This week, we interviewed Lisa Yu, Community Manager of the Data Science Center (DSC). The DSC is a coordinating hub within the University of Amsterdam (UvA) Library, launched in 2...

Eva Viviani·Dec 19, 2022

Ceci n’est pas une peinture — making art with AI

Over time, the model ultimately learns how to discriminate between these two groups (Van Gogh vs. other) and outputs the probability that a new observation belongs to the Van Gogh’...

Aron·Dec 8, 2022

Interview with chatGPT

Good morning chatGPT, I will be interviewing you for a blog post of the Netherlands eScience Center, a research institution that builds and applies software to enhance the use of c...

eScience Editorial Team·Oct 27, 2022

How to manage your software

Today the Netherlands eScience Center and NWO released a Practical Guide to Software Management Plans (SMPs). The Software Management Plan Working Group developed the Guide with in...

Sonja Georgievska·May 13, 2022

Reusable software in the era of AI: why sometimes you must reinvent the wheel

> In traditional software development, reinventing the wheel is a cardinal sin. But AI has changed the picture. In AI-based software development the traditional reusable components...

eScience Editorial Team·Apr 11, 2022

Can machine learning help us improve stroke rehabilitation? A step towards personalized therapy

Along the way, the biggest issue was our data set itself. Because data collection of human movements is a job that takes time and our patient group is small, we only have a limited...

Fakhereh (Sarah) Alidoost·May 11, 2021

Lesson development blitz

5. Testing lessons designed by freepik https://stories.freepik.com/The coordinator asks some of the researchers in the community to use the tutorial and to report any issues or bug...

Netherlands eScience Center·Jul 23, 2020

Get up to speed with software sustainability — the WOSSS19 report and a look to the future

The audience discussed topics raised by the introductions, and as part of this they wrote material for the report in a process adapted from the speed blogging approach. Those who s...

eScience

Sonja Georgievska·Jun 18, 2020

Machine learning: when it is easy & when it is difficult

Hey, should I draw a wild curve that splits all points exactly? But how am I sure that the curve will split properly all new points that I haven’t seen, that it will not over-fit o...

Florian Huber·Feb 11, 2020

Workshop Machine Learning for Research 2020 … did it work?

Evaluating our one-week hands-on workshop on applying machine learning to research. 5 Stimulate diverse teams and be aware of (gender-)biases.We wanted to attract diverse teams and...

eScience

Pablo Rodríguez-Sánchez·Jan 8, 2020

Some things that scientists can learn from the arts

Artists and scientists have more in common than you may think Ascidiacea (1899) by Dr. Ernst Haeckel via Wikipedia Knowledge isn’t easy to classify. Where does mathematics finish a...

Florian Huber·Mar 4, 2019

superhuman blog post

#demystifyAI series (this small series aims at putting important AI-related aspects into perspective) Why you shouldn’t be afraid of AI tools occasionally performing superhuman in...

eScience Editorial Team·Sep 26, 2018

analyzing the ‘life’ of newspapers with machine learning

Marcel Broersma, professor of Media and Journalism Studies and Director of the Research Centre for Media and Journalism Studies (CMJS) at the University of Groningen Photography:...

Erik Tjong Kim Sang·Mar 20, 2018

active learning

Computers perform better than humans in arithmetic and chess but if there is one task in which humans are superior it is image processing. But for how long? In 2015 there was a br...

Maarten van Meersbergen·Jul 3, 2017

binge-watching science on youtube the good, the epic and the brilliant

With some help, its algorithms can be trained to find you the good stuff A decade ago, my favorite TV channel used to be the Discovery channel. I spent hours watching shows like Ho...

Training

Co-Designing a Roadmap for Training on Research Software Templates and Code Auditing

Beyond research

Differentiation without subtraction

Why your research deserves to be an R package

Mcfly: An easy-to-use tool for deep learning for time series classification

Language Modeling: The First 100 Years

Molecular Simulations using Machine Learning, Part 3

Molecular Simulations using Machine Learning, Part 2

The bike and the laptop

The hidden dangers of using XAI carelessly

Build a mass spectrometry analysis pipeline in Python using matchms — part II: Spec2Vec

The Data Science Centre: Digital expertise Hub at UvA

Ceci n’est pas une peinture — making art with AI

Interview with chatGPT

How to manage your software

Reusable software in the era of AI: why sometimes you must reinvent the wheel

Can machine learning help us improve stroke rehabilitation? A step towards personalized therapy

Lesson development blitz

Get up to speed with software sustainability — the WOSSS19 report and a look to the future

Machine learning: when it is easy &amp; when it is difficult

Workshop Machine Learning for Research 2020 … did it work?

Some things that scientists can learn from the arts

superhuman blog post

analyzing the ‘life’ of newspapers with machine learning

active learning

binge-watching science on youtube the good, the epic and the brilliant

Machine learning: when it is easy & when it is difficult