Crawling the Web to Foretell Ecosystem Collapse | Wired Science from Wired.com

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Transtracker bookmarked on 2009-03-20 social_media scholarship2.0 blogosphere analysis social media surveillance crowd mining

The Interwebs could become an early warning system for when the web of life is about to fray.

By trawling scientific list-serves, Chinese fish market websites, and local news sources, ecologists think they can use human beings as sensors by mining their communications.
The six billion people on Earth are changing the biosphere so quickly that traditional ecological methods can't keep up. Humans, though, are acute observers of their environments and bodies, so scientists are combing through the text and numbers on the Internet in hopes of extracting otherwise unavailable or expensive information. It's more crowd mining than crowd sourcing.
Much of the pioneering work in this type of Internet surveillance has come in the public health field, tracking disease.

This link has been bookmarked by 11 people . It was first bookmarked on 20 Mar 2009, by Don Cornell.

30 Mar 09

John Tulinsky
search information in science citizen science
Alex MIkhalev
datamining
27 Mar 09

Jimmy Breeze
information internet
- The Interwebs could become an early warning system for when the web of life is about to fray.
  
  By trawling scientific list-serves, Chinese fish market websites, and local news sources, ecologists think they can use human beings as sensors by mining their communications.
- scientists are combing through the text and numbers on the Internet in hopes of extracting otherwise unavailable or expensive information. It's more crowd mining than crowd sourcing.
- 3 more annotations...
- - These research efforts seem to indicate that people are good sensors, but pulling the information from what they post in human-readable formats and transforming it into quantitative models of the world is tough. The Global Public Health Intelligence Network has developed an epidemic warning system that pulls in data from news wires, web sites, and public health mailing lists. The GPHIN, which is probably the most advanced and uses highly variegated information, only picks up on about 40 percent of the 200 to 250 outbreaks that the World Health Organization investigates each year.
  - By looking at human data, not just fisheries and ecological
    readings, they think they'll be able to detect ecosystem tipping
    points before they happen.
  - "Web crawlers can collect information on the drivers of ecosystem
    change, rather than the resultant ecological responses," they write.
    "For example, if rapidly emerging markets for high value species are
    known to be socio-economic drivers which lead to overexploitation and
    collapse of a fishery, web crawlers can be designed to collect
    information on rapid changes in prices, landings or investments."
    
    But right now, their plans remain theoretical, and while scraping
    data seems easy enough, turning it into knowledge is another story.
    John Brownstein, a Harvard bioinformaticist and co-founder of HealthMap, which does for disease what Daw wants to do for ecology, said that applying the framework to ecology could work.
23 Mar 09

Jay Chuang
21 Mar 09

Swarna Srinivasan
ecosystem foretell disease monitor trend track health toprint
jeunium jeunium
data_mining big_brother
20 Mar 09

TransTracker
social_media scholarship2.0 blogosphere analysis social media surveillance crowd mining
- The Interwebs could become an early warning system for when the web of life is about to fray.
  
  By trawling scientific list-serves, Chinese fish market websites, and local news sources, ecologists think they can use human beings as sensors by mining their communications.
- 2 more annotations...
- - The six billion people on Earth are changing the biosphere so quickly that traditional ecological methods can't keep up. Humans, though, are acute observers of their environments and bodies, so scientists are combing through the text and numbers on the Internet in hopes of extracting otherwise unavailable or expensive information. It's more crowd mining than crowd sourcing.
  - Much of the pioneering work in this type of Internet surveillance has come in the public health field, tracking disease.
Erica MacIntosh
web ecology life biology article
raman srinivasan
foretell print read track swarna
- he Interwebs could become an early warning system for when the web of life is about to fray.
  
  By trawling scientific list-serves, Chinese fish market websites, and local news sources, ecologists think they can use human beings as sensors by mining their communications.
  
  "If we look at coral reefs, for example, the Internet may contain
  information that describes not only changes in the ecosystem, but also drivers of change, such as global seafood markets," said Tim Daw, an ecologist at the UK's University of East Anglia in a press release about his team's new paper in Frontiers in Ecology and the Environment.
  
  The six billion people on Earth are changing the biosphere so quickly that traditional ecological methods can't keep up. Humans, though, are acute observers of their environments and bodies, so scientists are combing through the text and numbers on the Internet in hopes of extracting otherwise unavailable or expensive information. It's more crowd mining than crowd sourcing.
  
  Much of the pioneering work in this type of Internet surveillance has come in the public health field, tracking disease. Google Flu Trends,
  which uses a cloud of keywords to determine how sick a population is, tracks epidemiological data from the Centers for Disease
  Control. Less serious projects — like this map of a United Kingdom snowstorm based on Tweets about snow — have also had some success tracking the real world.
- These research efforts seem to indicate that people are good sensors, but pulling the information from what they post in human-readable formats and transforming it into quantitative models of the world is tough. The Global Public Health Intelligence Network has developed an epidemic warning system that pulls in data from news wires, web sites, and public health mailing lists. The GPHIN, which is probably the most advanced and uses highly variegated information, only picks up on about 40 percent of the 200 to 250 outbreaks that the World Health Organization investigates each year.
Don Cornell