Citizen Science and Environmental Data: Why Everybody beats Anybody
In this talk, I'll discuss the evolution of Citizen Journalism to
Citizen Science, and why that classification is unhelpful, how
Safecast revolutionized the state of art, best practices for
working with communities and "open" is more trustworthy than
"off
25 Minuten
Podcast
Podcaster
Beschreibung
vor 6 Jahren
Sean Bonner In 2008 I spoke at re:publica about citizen journalism
and specifically how blogs were filling gaps left by traditional
media outlets that lacked in-depth coverage of some topics and
markets because of their reactionary nature, and how journalism
wasn't inherently better or worse because of a degree the author
might have held. 10 years later I'll follow on from with a focus on
Safecast and crowd sourcing environmental data and citizen sensing.
Popular Mechanics recently said that "Safecast has revolutionized
Citizen Science" - In this talk I'll discuss the how and why, as
well as show again how the people can often do a better job than
the professionals, and illustrate how without the trust of the
community it doesn't matter how accurate published readings might
be. How independent and trusted data can be used to verify official
data and vice versa, and why it's important for communities to
proactively measure things themselves rather than assuming
governments or corporations are doing it for them, and everyone
benefits from more open data.
and specifically how blogs were filling gaps left by traditional
media outlets that lacked in-depth coverage of some topics and
markets because of their reactionary nature, and how journalism
wasn't inherently better or worse because of a degree the author
might have held. 10 years later I'll follow on from with a focus on
Safecast and crowd sourcing environmental data and citizen sensing.
Popular Mechanics recently said that "Safecast has revolutionized
Citizen Science" - In this talk I'll discuss the how and why, as
well as show again how the people can often do a better job than
the professionals, and illustrate how without the trust of the
community it doesn't matter how accurate published readings might
be. How independent and trusted data can be used to verify official
data and vice versa, and why it's important for communities to
proactively measure things themselves rather than assuming
governments or corporations are doing it for them, and everyone
benefits from more open data.
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