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HS Open Hackathon:
Expert Teams Pitching in Open Data

 DESIGNERS

        JOURNALISTS


             CODERS
1. HS Open -concept
• Big media house invites and provides facilities
   – The biggest Finnish newspaper Helsingin Sanomat invites people,
     offers working space and food
• Collaboration
   – In every team there is at least one coder, journalist and a designer
• Interesting new data
   – Raw data is published in easy-to-use format before the event
• One day of intense work
   – The goal for each group is to make an News Application that tells a
     visual story
• Best News Apps will be developed further and published
   – Some of the best applications have been bought and published by
     Helsingin Sanomat
2. Data journalism interests also
         non-journalists
  Image: Google Insight ”computer assisted reporting (red)
  vs. data journalism (blue)
3. Who and Why
• Teams of three: journalist, coder and designer
   – Journalists: asking questions, sometimes coordinating, finding
     the scoop
   – Coders: knowing the tools, skills for building new ones,
     enthusiasm, hobby-mentality, ”know how to talk ’computer’”
   – Designers: visualisation, skills for graphic journalism, last one
     to step in the process, finalising the app
• Motivations:
  learning tools, understanding data journalism & open data,
  getting new ideas, networking / working with people one
  knows, employer asked to participate, interested in data
  available / outcomes, societal influence, ”a hobby”, it’s fun
  and interesting, via networking new side projects, business
  contacts
4. Examples
5. Team Work: possibilities
• Learning from each other, seeing how others do their work
• Not everyone has to know everything – and only few do!
• Thinking outside the box
• Solutions created by the others usable later on
• Collaboration, developing a working culture
• Community spirit, meeting people, further ideas in ”open
  bar” session
• Teams of three:
   – ”Enough people for brainstorming and not too much for
     making decisions.” (coder)
   – ”Could be more team members, the number needs not
     to be carved in stone” (designer)
6. Team Work: challenges
• Time as a scarce resource
   – Dividing the work so that everyone has enough – but not too
     much work
   – Brainstorming & planning phases short -> reflects to outcomes
   – Outcomes unfinished
• Quality of data
   – Dimensions for ”a good data”: usable (in proper format),
     interesting, new, comprehensive
• Technology comes first, less attention for journalistic story-
  telling
• Too much ambitions in the beginning of the team work
• Work processes follow each other -> not all the team
  members working simultaneously
7. HS Open: value for Finnish Data Journalism
• Openness enables sharing knowledge between media houses
• HS Open as a known model of doing DJ: ”an example for other
  media houses”
   – Leading role: ”I expect Helsingin Sanomat to take the similar role [in doing
       datajournalism in Finland] than The Guardian.” (journalist)
• Further developments?
   – More open data! (from government but also from media &
     other business)
   – Open data and data journalism walk hand in hand
   – Need for up to date legislation
   – How to sell data journalism for media users?
• Changing journalism: data journalism a part of that change
• Data journalism done by journalists: The ethics of journalism and
  the professional ethical code in using the data
• More visibility for open data -> more transparency in the society
8. HS Open Data Journalism
    Hackathon @OKfest
9. Quotes for discussion
• ”It is a loss for the society if the data collected is not used.”
• ”This is the first wave of developing Finnish data journalism.”
• ”There are not so many of us who know how to do it: there is
  more work for freelancers in data journalism than on other areas
  of journalism.”
• ”Data journalism is a cost-effective method for doing journalism,
  it provides possibilities for small media.”
• ”To understand data journalism one has to understand data and
  technology. For journalists it is difficult to jump in believing that
  the concept will work. And for coders it is just technology they
  already know, and they just want to deliver apps for people to
  use.”
• ”It is good that the leading commercial media is doing this:
  Helsingin Sanomat has enough journalistic integrity to do data
  journalism.”

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HS Open Hackathon presentation

  • 1. HS Open Hackathon: Expert Teams Pitching in Open Data DESIGNERS JOURNALISTS CODERS
  • 2. 1. HS Open -concept • Big media house invites and provides facilities – The biggest Finnish newspaper Helsingin Sanomat invites people, offers working space and food • Collaboration – In every team there is at least one coder, journalist and a designer • Interesting new data – Raw data is published in easy-to-use format before the event • One day of intense work – The goal for each group is to make an News Application that tells a visual story • Best News Apps will be developed further and published – Some of the best applications have been bought and published by Helsingin Sanomat
  • 3. 2. Data journalism interests also non-journalists Image: Google Insight ”computer assisted reporting (red) vs. data journalism (blue)
  • 4. 3. Who and Why • Teams of three: journalist, coder and designer – Journalists: asking questions, sometimes coordinating, finding the scoop – Coders: knowing the tools, skills for building new ones, enthusiasm, hobby-mentality, ”know how to talk ’computer’” – Designers: visualisation, skills for graphic journalism, last one to step in the process, finalising the app • Motivations: learning tools, understanding data journalism & open data, getting new ideas, networking / working with people one knows, employer asked to participate, interested in data available / outcomes, societal influence, ”a hobby”, it’s fun and interesting, via networking new side projects, business contacts
  • 6. 5. Team Work: possibilities • Learning from each other, seeing how others do their work • Not everyone has to know everything – and only few do! • Thinking outside the box • Solutions created by the others usable later on • Collaboration, developing a working culture • Community spirit, meeting people, further ideas in ”open bar” session • Teams of three: – ”Enough people for brainstorming and not too much for making decisions.” (coder) – ”Could be more team members, the number needs not to be carved in stone” (designer)
  • 7. 6. Team Work: challenges • Time as a scarce resource – Dividing the work so that everyone has enough – but not too much work – Brainstorming & planning phases short -> reflects to outcomes – Outcomes unfinished • Quality of data – Dimensions for ”a good data”: usable (in proper format), interesting, new, comprehensive • Technology comes first, less attention for journalistic story- telling • Too much ambitions in the beginning of the team work • Work processes follow each other -> not all the team members working simultaneously
  • 8. 7. HS Open: value for Finnish Data Journalism • Openness enables sharing knowledge between media houses • HS Open as a known model of doing DJ: ”an example for other media houses” – Leading role: ”I expect Helsingin Sanomat to take the similar role [in doing datajournalism in Finland] than The Guardian.” (journalist) • Further developments? – More open data! (from government but also from media & other business) – Open data and data journalism walk hand in hand – Need for up to date legislation – How to sell data journalism for media users? • Changing journalism: data journalism a part of that change • Data journalism done by journalists: The ethics of journalism and the professional ethical code in using the data • More visibility for open data -> more transparency in the society
  • 9. 8. HS Open Data Journalism Hackathon @OKfest
  • 10. 9. Quotes for discussion • ”It is a loss for the society if the data collected is not used.” • ”This is the first wave of developing Finnish data journalism.” • ”There are not so many of us who know how to do it: there is more work for freelancers in data journalism than on other areas of journalism.” • ”Data journalism is a cost-effective method for doing journalism, it provides possibilities for small media.” • ”To understand data journalism one has to understand data and technology. For journalists it is difficult to jump in believing that the concept will work. And for coders it is just technology they already know, and they just want to deliver apps for people to use.” • ”It is good that the leading commercial media is doing this: Helsingin Sanomat has enough journalistic integrity to do data journalism.”

Editor's Notes

  1. > Eri taustaisten ihmisten törmäyttäminen (esim. toimittajilla journalistinen näkökulma), kukaan ei osaa kaikkea, mutta yhdessä osataan paljon. Hankaluuksista huolimatta koettiin positiivisena ja lopputulos on yllättävä ja hyvä. Esityksen  pääpointti: eritaustaisten ihmisten "törmäyttäminen" - voimaantuminen  yhdessä tekemisestä, uudenlaiset ideat, "tällaista ei pääse kokemaan  työelämässä, jossa yleensä vuorovaikuttaa omien samaa työtä tekevien  kollegoiden kanssa" Datajournalismi kiinnostaa muitakin kuin toimittajia!
  2. Toisaalta ”technical solutions are usually hasty, the idea comes first”