On October 26 till 28, we hosted the Wide Open Source Science 2018 event, a three-day gathering of almost 100 students, researchers, developers, science communicators, mentors and more, with the goal of developing prototypes and concepts for openness of science. Together, the participants worked on 15 projects, from data visualisations and web-based tools, to designing conceptual shifts in the way we share, review, endorse research and increase its societal impact. We summarise these projects below.

Text: Elina Viukari
Photos: Tapio Auvinen

Extension Boyz

The winning coding solution was Team Extension Boyz’s browser extension for Finna.fi, a database providing free access to material from Finnish museums, libraries and archives. The extension recommends the user relevant books on any text or topic of interest that they choose.

“Annif has a good text indexing algorithm. By combining this with the Finna API, we can create something that improves the usability and accessibility of both platforms”, the team described their technical solution.

The team members were:

  • Steve Nebo
  • Yazan Al Halabi
  • Akangbe Samuel

¾ BOA

Using the Finna API, the team visualized within the ontology tree of YSO relative popularities of terms used to describe images. This makes it easier to understand the ontology tree and allows the temporal evolution of the conceptual space of Finnish imagery to be made visible, giving a glimpse into the Finnish mindscape.

The team members were:

  • Henri Kotkanen
  • Aleksander Alafuzoff
  • Jari Torniainen

Quantum Lizard Brains

The team created an algorithm for extracting scientific information by compressing textual input (or speech input) into keywords using Annif, which was then fed as a search through open science archives and databases, facilitating the basic mechanism of doing science via algorithmic search.

The team members were:

  • Hannu Kämäräinen
  • Ville Pyykkönen
  • Mikael Mieskolainen
  • Harri Hirvonsalo

FennicaTrends

An interactive collection of subjects from Fennica-LD visualizing trends in non-fiction literature in Finland from the 1980s to today, showing a cluster of words with calculated frequencies of each individual subject from the YSO ontology.

The team members were:

  • Taru Airola
  • Henri Ylikotila
  • Jasu Viding

We Do What We Must

The team’s goal coming into the hackathon was to make open science more available. Visualizations are a good way to condense data into an understandable form. The team used the Finna API and showed graphs that indicate connections between keywords and the number of publications that match specific keywords, as well as the trend of the data.

The team members were:

  • Janne Lavila
  • Jarkko Savela
  • Mathias Pellas
  • Ni Chen

Arts ´n Coding

There’s an overwhelming amount of information to be found in Finna. The team came up with a treasure tracker to make Finna data more accessible. It’s a button that randomly grabs from the collections, allowing you to stumble on something interesting or find inspiration.

The team members were:

  • Minna Turunen
  • Rachel Fay-Leino
  • Ava Heinonen
  • Pavla Oubret

Team Rowboat

The team created model to return location data for a query term from the Finna API to determine where pictures have been taken related to that specific keyword. Using this timeline it’s also possible to see where and when a keyword was prevalent, leading us to pursue this further with an artistic style transfer using a neural network.

The team members were:

  • Saska Karsi
  • Riku Walve
  • Tafseer Ahmed

Wiki Loves Crowdsourcing

The team was testing a workflow idea at the hackathon where enriched metadata and rephotographs from crowdsourcing platform Ajapaik were first curated and then published over OAI-PMH. Published rephotos and a then-and-now pair were then layered on top of Finna with enriched metadata.

The team members were:

  • Kimmo Virtanen
  • Susanna Ånas
  • Katri Niinikangas

ACI

The team created a web app that helps students look up topics they’re interested in with visualizations of publications categorized by organizations and related keywords, creating an attractive representation of possible options for future Bachelors, Masters, and PhDs in terms of publication proactivity.

The team members were:

  • An Cao
  • Chau Tran
  • Ilse Tse

Knowledge crystals

Team Tiedekide was awarded as the best multidisciplinary solution for their novel solution: a website called Tietokide (or “Knowledge Crystal”) for collecting, discussing and synthesizing scientific information and values to answer policy-relevant questions. The concept is based on co-creation, openness, and discussions.

The team members were:

  • Jouni Tuomisto
  • Kaisa Haverinen
  • Juha-Pekka Finnilä
  • Teemu Ropponen

Social Science Superheroes

The team utilized insights from behavioral sciences and AI to broaden up policy-making. They designed a new protocol by which public administration officials will utilize social scientific evidence as diversely as possible. This makes policy-makers better equipped to tackle complex social problems than ever before.

The team members were:

  • Lari Hokkanen
  • Juuli Hilska
  • Roope Kaaronen
  • Kati Lommi
  • Janne Karisto

Great Shit

The general public is not able to base their daily actions on reliable evidence. The team focused on using scientific research to the general public’s benefit. Their solution is a digital service that helps motivated individuals base their daily actions on reliable evidence and increase sustainability impact by involving their peers.

The team members were:

  • Noora Isoaho
  • Gunta Krumina
  • Ida Isoherranen
  • Matti Parkkila

#Imcurious

Misinformation is a continuous problem in our society. As a means of fighting misinformation and a fear of the unknown, the team is launching a campaign called #imcurious, a hashtag with which the public can post content and share the things they are curious about in social media. Alongside #imcurious the team have prepared a mockup of an #imcurious mobile app with which people can search for information with keywords. The app then searches the web for relevant information on the given topic and also suggests other topics that the user may be interested in exploring, unlike other search engines.

The team members were:

  • Tero Niskanen
  • Jannica Renfors
  • Juho Kastemaa
  • Heikki Kastemaa

AVIVA

Team’s non-profit organization will provide a service that checks the quality of the sources in news articles that cite scientific research. They will also provide journalists a one-stop shop to get comments on research they’re about to cover. The end result is a public that is more educated on what the scientific process actually is and a media that is not so quick to publish reactionary science journalism.

The team members were:

  • Volha Furs
  • Ilkka Muukkonen
  • Anna Lohikko
  • Arttu Ahonen
  • Vladimir Kuparinen

The A Team

There is a growing science gap in our society and elsewhere that many groups are trying to address, yet in spite of the services they have come up with, they are still not reaching their target audiences. The A Team’s solution is to create a team of marketing and networking experts who also know how to speak to both academics and the general public. This team would thus bridge the gap by connecting these groups with libraries and librarians to ensure that science would be accessible and approachable for everyone via many different kinds of events and that these events would be findable.

The team members were:

  • Johanna Löfblom
  • Jorden Senior
  • Kimberli Mäkäräinen