Advancing research through machine learning: an applied coding workshop
Time and place
Workshop: 20-24 January, 2020
Optional Python & Jupyter notebook crash course will be provided on January 17, 2020.
Address: SURFsara / Netherlands eScience Center, Science Park 140, Amsterdam
Aim and eligibility
Are you a researcher and do you have a challenging research question that might benefit from machine learning, deep learning or AI? And do you have the data to start working on this question? If so, this workshop is for you.
Tell us about your idea and your team (3-5 people). From all submitted ideas we will invite up to five teams to spend a week of hands-on work with two machine learning experts. Together, we will explore your data in order to find the best machine learning strategy with which to tackle your scientific question. The workshop will be a collaborative effort in which we will share knowledge, develop and explore new ideas and boost your understanding of current machine learning techniques.
At least two team members should be based at a Dutch university or research institute that is affiliated with NWO, KNAW, universities for applied sciences (“hogescholen”), or TO2 (Deltares, ECN, Marin, NLR, TNO en Wageningen-Research). Proposals can come from any scientific domain. The workshop will be free of charge (1-week workshop including lunch, but no travel expenses or accommodation costs).
If you’re still worried you might not have the right computational skills, please feel free to contact us.
How to apply?
To apply, please fill out our online submission form.
Submissions will be reviewed by a diverse team of machine learning practitioners (working on a broad range of scientific projects at the Netherlands eScience Center). The final selection of a maximum of 5 teams will be made based on:
1. Quality and novelty of the proposed research.
2. Match between the available data and the scientific question(s) asked.
3. Extent to which this project benefits the applying teams’ skills and knowledge.
4. Our own expected ability to give the proposed project a boost regarding digital technologies.
Submission deadline: 15 November 2019, 12:00 (CET)
Expected notification of acceptance: before 29 November 2019
Not sure this workshop will be a fit?
Any other comments, questions, or concerns?
Please get in touch: firstname.lastname@example.org