Ecology is about connecting the dots.
one of the goals: interaction webs
Ecology can help use understand & manage big data.
Untangle, sort, link threads, & best of all knit together.
Big Data are not static.
Datasets so large/complex that it becomes difficult to process using traditional data processing applications.
775,000,000 results (0.26 seconds)
V is for Vampire, and Big Data are all about V (and vampires).
Volume
Variety
Velocity
Veracity & Variability
doi:10.1038/sdata.2014.6
remote sensing & microclimate
abundance & distributions with citizen scientists
doi:10.1890/11-2177.1
Challenges: capture, curation, context, & complexity-analytics
Big Data Adventure Time
data are evidence
Useful Big Data illuminate context, connections or interactions
personal solutions
Context: even a single point in a big dataset is informative
personal solutions
Interactions: focus on schema, archive & aggregate datasets
personal solutions
Synthesis: find & use metrics that allow you to connect datasets.
150 interactions per day3 billion people
Correlation almost always implies causation.
Correlation does not imply causation.
data = evidencewe need to use synthesis tools
only 1 min watching www.worldometers.info
context, interactions, & synthesis procedurally and literally provides the
tools we need to solve global challenges
ecology Big Data