3 DAYS ON OCTOBER 26-28
Wide – Open Source Science is a three-day challenge and hackathon for developers, students, researchers, technologists and other open science and open source enthusiasts. The mission is to bridge the gap between science and society.
The event consists of two tracks with two different approaches to the challenge. If you’re into CODE, you can dive into the technological side of open science and play with the provided data sets. If you’re more of a GENERALIST, you can take a more conceptual, multidisciplinary approach.
During the weekend, you will develop impactful ideas, meet experts of the field and become more familiar with the principles of open science. To keep your brain going, there’s food, good coffee, sauna and palju! The venue LEIPÄTEHDAS is a historical bread factory, nowadays serving as a modern coding cave in the heart of the old industrial area of Kallio.
Open Data Oracle – challenge for open source enthusiasts
The coding track challenges teams of 2–5 to apply their skills and programming knowledge to solve the accessibility problem of open research. Your task is to create a solution that helps scientific archives become more attractive and accessible for all.
For inspiration, your team’s solution could be:
A search engine. How about creating a search engine that recommends interesting content based on your previous searches? Or what about a gadget combining current topics and history, something like the FINNA BOT?
A visualization. Think about the phase in time when the word “sushi” became more common in archives. Could you visualize this development and other phenomena related to it? Or how would you visualize the way punk subcultures have followed and developed immigration movements inside Finland?
All coding solutions must utilize at least one of the following data sets and APIs:
- ANNIF.ORG, a statistical automated subject indexer using Finna as a corpus
- FENNICA-LD, the national bibliography Fennica provided as RDF Linked Data
- FINNA.FI, an aggregator of metadata from Finnish archives, libraries and museums
- YSO (GENERAL FINNISH ONTOLOGY), a trilingual ontology consisting mainly of general concepts
- YSO-PLACES, a geographic directory containing administrative and geographical areas
For information on the data sets and their use, as well as API specs (e.g. REST API and Linked Data), you can use THE DATA CATALOG published by The National Library of Finland. Additionally, you have the option to use CSC NOTEBOOKS for data analytics.
Feel free to go nuts and be creative! You’re free to use other data sets in your code as well. As this challenge is all about open science and knowledge, all solutions created as part of the hackathon will be shared in a public GitHub repository (under a FOSS license of your choice).
New Frontiers Challenge – take science to new frontiers
Open science is much more than open access. Science should belong to everyone. The scientific process itself has to be made more open for the benefit it the scientific community. But how do we enforce the connection between academia and other realms? How do we connect a citizen with science?
You don’t have to be a data scientist to participate. This challenge is for everyone who wants to be a part of making science more open. Find new ways to encourage scientists and institutions to openly share their work and to enable others to both access it and engage with it.
WHAT? A three-day, two-track challenge for open source science.
WHEN & WHERE: 26-28 October 2018, LEIPÄTEHDAS, Kaikukatu 4, Helsinki.
FOR WHOM? For enthusiasts of all shapes, sizes and backgrounds.
Coding track requires the ability to work with the given data sets/APIs. You can apply solo or as a team of 2-5 people (coding track) or 3-5 people (multidisciplinary track). Solo participants will be formed into teams before the event.
Coding Track – 2500€ gift card of choice.
Multidisciplinary Track – 2500€ gift card of choice.
HOW TO JOIN? Apply through the link below. Deadline for all applications is Sunday 14.10.2018 23.59 EET.
QUESTIONS? Contact firstname.lastname@example.org.