Open Data Utopia? (SciCAR 19)
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The document discusses the journey towards open data and its implications for journalism, emphasizing the need for transparency and accessibility of public data. It highlights the challenges faced by journalists in navigating various data sources and legislative frameworks while advocating for a culture of accountability. Additionally, it critiques conventional notions of crime reporting, suggesting a shift towards understanding crime through a broader, more interconnected lens.
![https://www.cogitatiopress.com/mediaandcommunication/article/view/128
(Appelgren & Salaverria 2018)
“National and EU legislation in both nations [Sweden
and Spain] shape journalistic strategies for accessing
data, turning journalists at times into activists fighting
for the right to access public data. Beyond the law, data
journalists advocate for a transparency culture among
the civil servants, in order to secure public
accountability.”](https://image.slidesharecdn.com/scicar19slideshare-190917092355/85/Open-Data-Utopia-SciCAR-19-10-320.jpg)
Open Data Utopia? (SciCAR 19)
- 1. SciCAR 2019 #OpenDataUtopia @PaulBradshaw Birmingham City University, BBC Data Unit
- 2. 1. The exciting journey to open data utopia 2. Encountering curious creatures 3. Wizards and unicorns
- 3. Kapitel 1: “Eine Armee von ‘armchair auditors’”
- 7. Gordon Brown -> David Cameron
- 10. https://www.cogitatiopress.com/mediaandcommunication/article/view/128 (Appelgren & Salaverria 2018) “National and EU legislation in both nations [Sweden and Spain] shape journalistic strategies for accessing data, turning journalists at times into activists fighting for the right to access public data. Beyond the law, data journalists advocate for a transparency culture among the civil servants, in order to secure public accountability.”
- 13. Eric Pickles
- 14. Kapitel 2: Eine Reise durch unergründetes Gebiet
- 17. Das Problem der Vogelscheuche
- 18. DATA.POLICE.U K
- 22. “In solving a problem efficiently, we might further ask whether an approximate solution is good enough, whether we can use randomization to our advantage, and whether false positives or false negatives are allowed. Computational thinking is reformulating a seemingly difficult problem into one we know how to solve, perhaps by reduction, embedding, transformation, or simulation.” https://www.cs.cmu.edu/~15110-s13/Wing06-ct.pdf (Wing 2004)
- 34. 2.
- 40. Das Löwenproblem
- 49. Kapitel 3: Treffen Sie den Zauberer
- 50. The Bureau of Investigative Journalism
- 62. https://www.cogitatiopress.com/mediaandcommunication/article/view/128 “At first sight, working with data promises to challenge the regime, in part by taking a more conventionalist or interpretivist epistemological position with regard to the representation of truth. However, we argue that how journalists and other actors choose to work with data may in some ways deepen the regime's epistemological stance.” (Lesage & Hackett 2014)
- 69. https://academic.oup.com/bjc/article/54/2/222/372562 “It is increasingly the case that it simply does not make sense to think about certain types of crime in terms of our conventional notions of space. Cybercrime, white-collar financial crime, transnational terrorism, fraud and identity theft all have very real local (and global) consequences, yet ‘take place’ within, through or across the ‘space of flows’ (Castells 1996). Such a-spatial or inter-spatial crime is invariably omitted from conventional crime maps.” (Kindynis 2014)
- 71. Danke. @PaulBradshaw, Birmingham City University Online Journalism Blog, BBC England data unit