
Research software stories
Netherlands eScience Center
We are the Dutch national centre of expertise for research software.

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Making 3D Real: How 3DLab Is Bringing Scientific Data to Life
Imagine trying to understand the structural integrity of a Roman ruin, or the complex vascular network of a biological organ, by looking at a flat map or static 2D photographs. You might get the general idea, but the depth, the context, and the reality are lost in translation. W...
Jun 25, 2026·Thijs van Lankveld

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eScience Editorial TeamResearch Software Engineers in the Age of GenAI: Same Value, Changing Practice
Stephan Druskat, Michelle Barker, Ian Cosden, Cunliang Geng, Robert Haines, Daniel S. Katz, Joseph Shingleton, Ben van W...
May 28, 2026
EE
eScience Editorial TeamCo-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...
May 15, 2026
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Faruk DiblenProvenance in the age of AI: Why we need AI Declarations for more transparency
In research, if our methodology is not transparent, our results are not verifiable. Using AI to help generate code or sy...
Apr 23, 2026eScience Editorial Team·Apr 9, 2026
FOSDEM 2026: Observations and key takeaways

eScience Editorial Team·Mar 26, 2026
Bring Your Own Backend

eScience Editorial Team·Mar 18, 2026
Give Me Data, Yesterday

Jesse Gonzalez·Feb 26, 2026
Making LLMs Work for Science: How AI-Powered Storytelling Helps Researchers Communicate Their Software

eScience Editorial Team·Feb 11, 2026
Enabling best practices for sustainable software in the Natural & Engineering sciences (SS-NES)

Bart Schilperoort·Jan 15, 2026
Use Julia to write code that runs on any GPU

eScience Editorial Team·Dec 9, 2025
Strengthening Research Software Management in Dutch UMCs: Highlights from the Second DReaMS Community Meetup

Peter Kalverla·Dec 5, 2025
A special gift (December 5th)

Pablo Rodríguez-Sánchez·Nov 26, 2025
The story map

Netherlands eScience Center·Nov 6, 2025
From PhD Student to Auto-Tuning GPU Expert. Meet Floris-Jan.

eScience Editorial Team·Oct 23, 2025
Why companies win by investing in Open-Source Software

Pablo Rodríguez-Sánchez·Oct 9, 2025
Why teach calculus in the age of AI

Patrick Bos·Sep 25, 2025
Be like Jurriaan

Peter Kalverla·Aug 28, 2025
5 tips for writing a successful eScience Center proposal

Carsten Schnober·Jul 10, 2025
Could AI be (in) FAIR?

Flavio Hafner·Jun 27, 2025
Empirically evaluating privacy in machine learning I: Introduction

Flavio Hafner·Jun 17, 2025
Empirically evaluating privacy in machine learning II: Hypothesis testing

Flavio Hafner·Jun 17, 2025
Empirically evaluating privacy in machine learning III: functional & gaussian differential privacy

eScience Editorial Team·May 20, 2025
Scientific Community Building through Workshops: the NPLinker eScience experience

Flavio Hafner·May 6, 2025
Benchmarking LLM fine-tuning on different HPC systems

Bart Schilperoort·Apr 22, 2025
Keeping your scientific data files small

Suvayu·Apr 22, 2025
Solving the mystery of the missing symbols! (part II)

eScience Editorial Team·Mar 25, 2025
Introduction to Deep Learning with Python

Suvayu·Mar 13, 2025
A debugging journey into the unknown (part I)

Bart Schilperoort·Mar 12, 2025
Sharing MATLAB models with everyone

ole·Feb 21, 2025
A Helpful Noob

ole·Feb 21, 2025
Fast-Forward Merges on GitHub
eScience
Pablo Rodríguez-Sánchez·Feb 20, 2025
FAIR principles: 5000 years of common sense

Carlos Martinez-Ortiz·Feb 10, 2025
Reproducible research with The Turing Way

Carsten Schnober·Jan 28, 2025
A Different Game

Olga Lyashevska·Jan 23, 2025
How to run a containerized Agent-Based Model on HPC

eScience Editorial Team·Jan 16, 2025
My experience of getting codechecked

eScience Editorial Team·Dec 20, 2024
Out of office: holiday mode activated

Peter Kalverla·Dec 10, 2024
Amsterdam as seen by a weather model

eScience Editorial Team·Dec 6, 2024
How much research output is really open, and how can we tell?

eScience Editorial Team·Dec 5, 2024
How is research software managed at UMCs? Insights from a first meetup

eScience Editorial Team·Dec 3, 2024
Tackling Advent of Code

eScience Editorial Team·Dec 3, 2024
The ‘do-it-yourself’ Computed Tomography scanner

Lourens Veen·Nov 27, 2024
Is scientific software the new land grab?

eScience Editorial Team·Nov 26, 2024
From Pandemic Response to Package Development

eScience Editorial Team·Nov 14, 2024
Why should you care about reproducible code — and how to get started?

Lourens Veen·Nov 7, 2024
Variables, Records, Values and Objects

eScience Editorial Team·Oct 30, 2024
Beyond research

eScience Editorial Team·Oct 24, 2024
From Corridor Coincidences to Cellular Cartography: The grlc Story

Candace Moore·Oct 3, 2024
The magic of teaching about the anti-magic of generative AI

eScience Editorial Team·Sep 19, 2024
National Research Software Day: National Infrastructures for Sustainable Software

Peter Kalverla·Sep 5, 2024
(Un)wieldy workflows with WRF

eScience Editorial Team·Aug 22, 2024
Research software is critical to the future of AI-driven research

Lourens Veen·Aug 1, 2024
Scripting vs. Programming
eScience
Deekshitha·Jul 26, 2024
Decoding Research Software Impact: A Collaborative Journey

Lourens Veen·Jul 18, 2024
What Research Software Engineers can learn from Taylor Swift

Lourens Veen·Jul 5, 2024
Better scripts with typing

Lourens Veen·Jul 5, 2024
Procedural Programming

Carlosmurilorocha·Jun 27, 2024
Quantum Computing for Quantum Chemistry with qc2

Lieke de Boer·Jun 27, 2024
Transparency in research... and football
eScience
Peter Kalverla·Jun 21, 2024
Henry, the City Tweaker

eScience Editorial Team·Jun 12, 2024
Brainstorming on the success of a research software catalogue

Erik Tjong Kim Sang·May 28, 2024
A Tale of Tallness

Sander van Rijn·May 14, 2024
Python’s timeit: Find the fastest code in no time

Christiaan Meijer·Apr 5, 2024
Masking time-series for eXplainable AI

Reggie Cushing·Mar 26, 2024
The Dystopian Mirage: Blogging’s Descent with My Involvement

eScience Editorial Team·Mar 19, 2024
The FAIR for Research Software Principles after two years: an adoption update

Flavio Hafner·Feb 27, 2024
How to manage your IP address in Python

Pablo Rodríguez-Sánchez·Feb 13, 2024
Differentiation without subtraction

Malte Lüken·Feb 1, 2024
Causal Inference in JASP: The Process Module

Alessio Sclocco·Jan 16, 2024
Talking about energy-efficient GPU computing at SC23

eScience Editorial Team·Dec 12, 2023
How to ensure that others can run your code

Nicolas Renaud·Dec 6, 2023
Machine Learning Machinery for Quantum Chemistry

eScience Editorial Team·Nov 28, 2023
Navigating research software policies: Insights from the Dutch research community

Peter Kalverla·Nov 21, 2023
Cracking the (moisture) tracking code
Pablo Rodríguez-Sánchez·Nov 9, 2023
Automatic differentiation from scratch
Ji Qi·Nov 6, 2023
How Easy It Can Be to Whip Up Your Own Orange3 Widget: A Chatbot Adventure with HuggingChat!

eScience Editorial Team·Nov 2, 2023
Investing in people: anticipating the future of research software

Kody Moodley·Nov 2, 2023
The Orange3 data mining platform for the Social Sciences and Humanities

Carlos Martinez-Ortiz·Oct 26, 2023
Open Science Festival: What infrastructures do we need to preserve research software?

Abel Soares Siqueira·Oct 25, 2023
The Utopic Git History
eScience
Abel Soares Siqueira·Oct 19, 2023
Achieving Utopic Git History

Kody Moodley·Oct 12, 2023
the orange3 data mining platform as a research tool

Peter Kalverla·Oct 5, 2023
Analysis-ready climate data with ESMValCore

eScience Editorial Team·Sep 21, 2023
Do you have 50.000 annotators?

Peter Kalverla·Sep 11, 2023
ESMValTool: Recipes for solid climate science

Malte Lüken·Aug 31, 2023
Coming Soon: Conditional Process Models in JASP

Barbara Vreede·Aug 30, 2023
Why your research deserves to be an R package

Peter Kalverla·Aug 21, 2023
Lilio — a calendar package for machine learning with time series data

eScience Editorial Team·Jul 10, 2023
Summer is here, and so are large language models.

Florian Huber·Jun 26, 2023
Mcfly: An easy-to-use tool for deep learning for time series classification
eScience
Stef Smeets·Jun 20, 2023
Reduce, reuse, recycle: save the planet one GitHub action at a time
eScience
Lieke de Boer·Jun 8, 2023
NL-RSE: What Open Science can learn from Open Source

Carsten Schnober·Jun 1, 2023
Language Modeling: The First 100 Years

Candace Moore·May 25, 2023
Research Ethics and Authorship: The Technological Solution

eScience Editorial Team·May 16, 2023
Creating a Community by Integrating Expertise, Tools and Ideas

Aron·May 4, 2023
Molecular Simulations using Machine Learning, Part 3

Lieke de Boer·Apr 20, 2023
Researchers are not born engineers — why are they expected to know how to code?

Aron·Apr 13, 2023
Molecular Simulations using Machine Learning, Part 2

Patrick Bos·Apr 6, 2023
Ditching Docker Hub: serve research software with GHCR + Zenodo

Aron·Mar 31, 2023
Molecular Simulations using Machine Learning, Part 1

Rob van Nieuwpoort·Mar 21, 2023
Defining the roles of research software

Pablo Rodríguez-Sánchez·Mar 16, 2023
The bike and the laptop

Peter Kalverla·Mar 9, 2023
eWaterCycle: Anecdotes of a FAIR expedition

eScience Editorial Team·Mar 2, 2023
Minds for Mobile Agents: speeding up social distancing simulations

Sonja Georgievska·Feb 23, 2023
The hidden dangers of using XAI carelessly

Candace Moore·Feb 16, 2023
The medical chatbot will not see you now

Johan Hidding·Feb 2, 2023
Diversity in Software: four ways to think different

Florian Huber·Jan 31, 2023
Build a mass spectrometry analysis pipeline in Python using matchms — part II: Spec2Vec
eScience
Florian Huber·Jan 31, 2023
Build your own mass spectrometry analysis pipeline in Python using matchms — part I

Pablo Rodríguez-Sánchez·Jan 26, 2023
An applied mathematician meets software engineering

eScience Editorial Team·Jan 19, 2023
Why internships have a large impact

eScience Editorial Team·Jan 12, 2023
The Data Science Centre: Digital expertise Hub at UvA

Eva Viviani·Dec 19, 2022
Ceci n’est pas une peinture — making art with AI

eScience Editorial Team·Dec 16, 2022
Machine Learning as a tool for political speech analysis

Sonja Georgievska·Dec 16, 2022
Small-scale initiative in Machine Learning 2021: how did it go?

Malte Lüken·Dec 13, 2022
Immaculate Speech and Hallucinations

Aron·Dec 8, 2022
Interview with chatGPT

eScience Editorial Team·Nov 23, 2022
The Future of Research Software

eScience Editorial Team·Nov 22, 2022
Software in the spotlight: launching the Research Software Directory
eScience
Johan Hidding·Nov 10, 2022
Unweaving legacy code using Entangled

Abel Soares Siqueira·Nov 3, 2022
10 examples of embedding Julia in C/C++

eScience Editorial Team·Oct 27, 2022
How to manage your software

Ben van Werkhoven·Oct 20, 2022
Versioned documentation using only GitHub actions and GitHub pages

Pablo Rodríguez-Sánchez·Oct 12, 2022
Mathematics and biology: a symbiosis?

Pablo Rodríguez-Sánchez·Sep 8, 2022
Fun with elevators: a tutorial

eScience Editorial Team·Aug 16, 2022
Our favourite high performance programming tools

eScience Editorial Team·Aug 2, 2022
Our favourite Python tools for research

Florian Huber·Jul 22, 2022
Mimicking Intelligence: AI imitation crisis
eScience
Patrick Bos·Jul 19, 2022
What do entropy, entanglement, cosmology, life, and fake news have in common?

Pablo Rodríguez-Sánchez·Jun 30, 2022
A single rule for better talks

Florian Huber·Jun 24, 2022
Welcome to the AI imitation crisis

eScience Editorial Team·Jun 13, 2022
Studying political symbolism in Turkish TV dramas with machine learning
eScience
eScience Editorial Team·May 23, 2022
The mystery of glass: why machine learning can help us

Sonja Georgievska·May 13, 2022
Reusable software in the era of AI: why sometimes you must reinvent the wheel

eScience Editorial Team·May 9, 2022
A machine learning approach to laughter

Stef Smeets·May 4, 2022
Forget about Jupyter Notebooks — showcase your research using Dashboards

eScience Editorial Team·Apr 22, 2022
Using machine learning to tell apart rain, snow, hail and fog from cell tower data
eScience
Sven van der Burg·Apr 14, 2022
A letter to my parents about my experience in a machine learning consultancy project

eScience Editorial Team·Apr 11, 2022
Can machine learning help us improve stroke rehabilitation? A step towards personalized therapy

eScience Editorial Team·Mar 31, 2022
How machine learning could help Simone to play Ludo

Elena Ranguelova·Mar 21, 2022
How to find your Artificial Intelligence explainer

eScience Editorial Team·Mar 11, 2022
How to find your rubber duck: Using machine learning to understand a changing sea

eScience Editorial Team·Mar 11, 2022
Parsing Hebrew and Syriac morphology using Deep Learning

Candace Moore·Mar 7, 2022
Conversations with a chatbot about CleanX

Victor Azizi·Feb 28, 2022
Writing non-questionable Fortran (Part 1)
eScience
Peter Kalverla·Feb 21, 2022
Storyboards for science communication

Abel Soares Siqueira·Feb 11, 2022
Can Python with Julia be faster than low-level code?

Abel Soares Siqueira·Jan 26, 2022
Speed up your Python code using Julia

Abel Soares Siqueira·Jan 19, 2022
How to call Julia code from Python

Stef Smeets·Jan 5, 2022
What is in the eScience toolbox: Stef on his favourite meshing library

Sven van der Burg·Dec 21, 2021
Still coding texts by hand for social science text analysis? Use Doccano instead to speed up the process!
eScience
Gijs van den Oord·Dec 14, 2021
The new IPCC assessment report: stakes have been raised

Faruk Diblen·Dec 3, 2021
cffinit: NOW is the time to get more recognition for your software!

Ben van Werkhoven·Nov 25, 2021
Kernel Tuner tutorial at Supercomputing 2021

Patrick Bos·Nov 16, 2021
Combining ZeroMQ & POSIX signals

Pablo Rodríguez-Sánchez·Sep 29, 2021
Decorators in R

Peter Kalverla·Sep 21, 2021
Pandemic-proof: shaping the future of scientific exchange

Peter Kalverla·Sep 20, 2021
Plotting gridded data on a web map: Python and/or Javascript?

Johan Hidding·Jul 7, 2021
Literate Programming in Science

Maarten van Meersbergen·Jun 17, 2021
Visual Storytelling for data science
eScience
Adriënne Mendrik·Jun 14, 2021
#KonMari for Science? Tidying up Provenance…

Robin Richardson·May 31, 2021
(Nano)Publish your research with Python
eScience
Fakhereh (Sarah) Alidoost·May 11, 2021
Lesson development blitz

Felipe·Apr 14, 2021
Using Rust for Scientific Numerical applications: Learning from Past Experiences

Pablo Rodríguez-Sánchez·Mar 18, 2021
Can mathematical models predict the future?

Patrick Bos·Mar 5, 2021
Automate chores with GitHub Actions

Felipe·Feb 22, 2021
A Quick and Dirty Pytest Cookbook
eScience
Patrick Bos·Feb 19, 2021
Twitter Bots, for Science!

Felipe·Jan 15, 2021
Building a Web Service to Manage Scientific Simulation Data Using GraphQL

Hanno Spreeuw·Nov 23, 2020
eScience trends from ADASS 2020

Florian Huber·Nov 10, 2020
Being a minority in fancy coding land: a Windows user.

Patrick Bos·Nov 10, 2020
Coalition polls for the people with Coalitiewijzer

eScience Editorial Team·Oct 27, 2020
C++ web app with WebAssembly, Vega, Web Worker and React
eScience
Pablo Rodríguez-Sánchez·Oct 22, 2020
How is the end of daylight saving time going to affect me?

eScience Editorial Team·Oct 9, 2020
Help! My C++ web app is not responding

eScience Editorial Team·Oct 9, 2020
Interact with your C++ web app using React forms

eScience Editorial Team·Oct 9, 2020
Spice up your C++ web app with visualizations

eScience Editorial Team·Oct 9, 2020
Using C++ in a web app with WebAssembly

Lourens Veen·Sep 28, 2020
Use-after-free? No more with Valgrind

Florian Huber·Sep 1, 2020
Machine learning for research — use it or refuse it? Two flowcharts to help you decide.

Florian Huber·Sep 1, 2020
Machine learningAI for Research — use it or refuse it

Pablo Rodríguez-Sánchez·Aug 17, 2020
Parallel R in a nutshell

Netherlands eScience Center·Jul 23, 2020
Get up to speed with software sustainability — the WOSSS19 report and a look to the future
eScience
Sonja Georgievska·Jun 18, 2020
Machine learning: when it is easy & when it is difficult

Sonja Georgievska·Jun 18, 2020
Machine learning when it is easy & when it is difficult
Netherlands eScience Center·Jun 8, 2020
Evidence for the importance of research software
eScience
Sonja Georgievska·Apr 25, 2020
Forcing science with brute force deep learning
eScience
Sonja Georgievska·Apr 25, 2020
Why AI will not replace experts

Netherlands eScience Center·Apr 2, 2020
Can we teach AI’s speech by simulating young children’s ability to learn spoken language?

Peter Kalverla·Mar 25, 2020
6 months of eScience: 6 lessons worth sharing

Pablo Rodríguez-Sánchez·Mar 18, 2020
A mathematician in quarantine

Patrick Bos·Mar 18, 2020
Remote revolution at the eScience Center

eScience Editorial Team·Mar 12, 2020
The Research Software Alliance (ReSA) and the Community Landscape
eScience
Patrick Bos·Feb 12, 2020
Combining ZeroMQ & POSIX signals

Florian Huber·Feb 11, 2020
Workshop Machine Learning for Research 2020
eScience
Florian Huber·Feb 11, 2020
Workshop Machine Learning for Research 2020 … did it work?
eScience
Florian Huber·Feb 7, 2020
Monopolizing AI
eScience
Fakhereh (Sarah) Alidoost·Jan 23, 2020
Environmental processes are linked, but how?

Johan Hidding·Jan 16, 2020
Parallel programming in Python

Pablo Rodríguez-Sánchez·Jan 8, 2020
Some things that scientists can learn from the arts

eScience Editorial Team·Dec 17, 2019
The success of reliable integration of renewable energy

Pablo Rodríguez-Sánchez·Dec 16, 2019
Are you a researcher? You may not know it yet, but good software skills are just what you need

Pablo Rodríguez-Sánchez·Dec 16, 2019
Experiences of a computational evangelist

Peter Kalverla·Dec 11, 2019
Between pencil and paper

eScience Editorial Team·Dec 9, 2019
Managing the crowd: a big data approach

Ben van Werkhoven·Dec 2, 2019
FAIR Software at the 2019 eScience Symposium

Netherlands eScience Center·Nov 28, 2019
Accelerating the search for dark matter

eScience Editorial Team·Nov 28, 2019
Optimizing plasma sources through numerical simulation

Hanno Spreeuw·Oct 21, 2019
eScience trends from ADASS 2019

Carlos Martinez-Ortiz·Oct 18, 2019
RSEConUK 2019

Carlos Martinez-Ortiz·Oct 3, 2019
NARCIS connects to the Research Software Directory
eScience
Florian Huber·Sep 24, 2019
Highlights from the European Conference on Machine Learning 2019

eScience Editorial Team·Jul 18, 2019
Using deep neural networks to understand molecular interactions

Florian Huber·Jul 15, 2019
King - Man + Woman = King ?

Johan Hidding·Jul 2, 2019
why all you’ll ever need is markdown

Florian Huber·Jun 24, 2019
derse 2019 first conference for research software engineers in germany

Sonja Georgievska·Jun 20, 2019
turning a panda into a cat!

Florian Huber·Jun 14, 2019
big questions — small data.

Sonja Georgievska·Jun 12, 2019
explainable ai exit or infinite loop

Johan Hidding·Jun 3, 2019
breaking the barrier fluid simulations parallel-in-time.

Felipe·May 29, 2019
some thoughts about developing software for scientific applications

Patrick Bos·May 23, 2019
democracy

eScience Editorial Team·Apr 4, 2019
understanding global corporate networks

Florian Huber·Mar 4, 2019
superhuman blog post

Ronald van Haren·Feb 5, 2019
fairifying ewatercycle

Johan Hidding·Jan 30, 2019
enTangleD

Patrick Bos·Jan 23, 2019
c++ compile-time exceptions

Felipe·Jan 9, 2019
dealing with dragons and monsters best practices for handling legacy code

Jurriaan H. Spaaks·Dec 20, 2018
portable hpc workflows with snakemake and xenon

eScience Editorial Team·Dec 17, 2018
using agile methods in scientific software development

eScience Editorial Team·Dec 17, 2018
using agile methods in scientific software development 1

Janneke van der Zwaan·Dec 12, 2018
Testing shell commands from Python

Jurriaan H. Spaaks·Dec 11, 2018
the research software directory and how it promotes software citation

eScience Editorial Team·Dec 3, 2018
how do we evaluate research software to meet different requirements

eScience Editorial Team·Nov 29, 2018
nice hydrographs for everyone from everyone

Maarten van Meersbergen·Sep 27, 2018
Why more scientists should attend SIGGGRAPH for inspiration!

eScience Editorial Team·Sep 26, 2018
analyzing the ‘life’ of newspapers with machine learning

Carlos Martinez-Ortiz·Sep 17, 2018
Want to organize a workshop on image processing

Elena Ranguelova·Sep 6, 2018
is an escience research engineer simply a computer scientist in disguise

Patrick Bos·Sep 3, 2018
50 times faster data loading for pandas no problem

Atze van der Ploeg·Aug 14, 2018
why use an fpga instead of a cpu or gpu

Patrick Bos·Aug 6, 2018
floating (point) butterfly effect

Janneke van der Zwaan·Aug 1, 2018
jump start your python project with this template

eScience Editorial Team·Jul 12, 2018
what we can learn from tomatoes — feeding the planet with improved plant breeding

eScience Editorial Team·Jul 11, 2018
the end of theory for earth sciences

Carlos Martinez-Ortiz·Jun 12, 2018
Flavour your linked data with garlic

Patrick Bos·Jun 5, 2018
blobs, bumps, clouds and clusters

eScience Editorial Team·Apr 13, 2018
research and software perspectives from different communities

Erik Tjong Kim Sang·Mar 20, 2018
active learning

Faruk Diblen·Jan 16, 2018
spot visual scientific data analytics made easy

eScience Editorial Team·Dec 20, 2017
digital technologies to analyze eyewitness accounts of mass violence

Hanno Spreeuw·Dec 20, 2017
escience is about being bold enough to ask the right questions at the right time

eScience Editorial Team·Dec 20, 2017
introducing nl-rse

Ben van Werkhoven·Dec 18, 2017
Writing Testable GPU Code

eScience Editorial Team·Oct 18, 2017
teaching machines to recognize cancer

Carlos Martinez-Ortiz·Oct 17, 2017
Demagification of Python, Git and Shell

Lourens Veen·Oct 5, 2017
free as in free market

Vincent van Hees·Sep 11, 2017
10 ways to keep your successful scientific software alive

Ronald van Haren·Aug 23, 2017
predicting temperatures in your street

Maarten van Meersbergen·Aug 7, 2017
Reading News, visually.

eScience Editorial Team·Jul 17, 2017
an ambition for the global astronomical community

Maarten van Meersbergen·Jul 3, 2017
binge-watching science on youtube the good, the epic and the brilliant

eScience Editorial Team·Jun 21, 2017
what is the impact of visualization on science

Lourens Veen·May 23, 2017
a license to science

eScience Editorial Team·Apr 3, 2017
how can network analysis lead to a new way of studying court decisions

Dafne van Kuppevelt·Mar 20, 2017
mcfly time series classification made easy

Niels Drost·Mar 13, 2017
Reproducible Science The Common Workflow Language

Lode Kulik·Mar 2, 2017
Five reasons why the eScience Center blog helps science

Vincent van Hees·Feb 28, 2017
So I wanted to be a Research Software Engineer

Patrick Aerts·Feb 21, 2017
Reaching for the sky Wishes for the European Open Science Cloud

Rob van Nieuwpoort·Feb 9, 2017
First Light! … again! Shiny new receivers for the Westerbork telescope.

Patrick Bos·Feb 6, 2017
Travis caching and incremental builds

Maarten van Meersbergen·Feb 6, 2017
What games can teach you (about science)

Carlos Martinez-Ortiz·Feb 6, 2017
What happened during the “Historic newspapers as ‘big data’” congress

Johan Hidding·Feb 3, 2017
Easier Docker in Python

Lode Kulik·Feb 2, 2017
Breaking jargon barriers at Talking eScience 2017

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