Human-Computer Interaction in Biodiversity Informatics - PowerPoint PPT Presentation

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Human-Computer Interaction in Biodiversity Informatics

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Human-Computer Interaction in Biodiversity Informatics Workshop in association with the 22nd annual HCIL Symposium and Open House Sponsored by NBII and NSF – PowerPoint PPT presentation

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Title: Human-Computer Interaction in Biodiversity Informatics


1
Human-Computer Interaction in Biodiversity
Informatics
  • Workshop in association with the 22nd annual HCIL
    Symposium and Open House
  • Sponsored by NBII and NSF
  • http//www.cs.umd.edu/hcil/biodiversity/workshop

2
Plan for the day
  • talks (with a break in the middle)
  • lunch (maybe walk?)
  • panel
  • demos
  • dinner

3
Biodiversity
Biodiversity is the extraordinary variety of all
life on Earth - from genes to species to entire
ecosystems. -- Smithsonian Institution
Monitoring and Assessment of Biodiversity Program
How can we improve interaction with biodiversity
information?
4
Informatics
Modified from Wikipedia Ecoinformatics entry
  • Facilitate research and management by developing
    ways to
  • access biodiversity data
  • integrate
  • databases of biodiversity information
  • computational services such as predictive models,
    analytical, and planning tools

Information and problem-centered
5
Human-computer interaction
Wikipedia HCI entry
  • The study of interaction between people (users)
    and computers.
  • methodologies and processes for designing
    interfaces
  • methods for implementing interfaces
  • developing new interfaces and interaction
    techniques
  • developing descriptive and predictive models and
    theories of interaction

People and task-centered
6
HCI in Biodiversity Informatics
  • reduction of information complexity (spatial,
    historical, numerical, etc.) for human scales
  • potential for cross-over with other domains
  • focus on organisms -- names, attributes,
    habitats, localities
  • potential for non-expert users education,
    outreach

7
Missing . . .
  • data entry
  • sensor nets
  • algorithmic data mining
  • text mining
  • semantic web

8
Organization of speakers
  • Biodiversity
  • plants (White, Jacobs)
  • fungi (Farr)
  • animals (Allen, Nardi)
  • multiple (Parr, Shapley, Guimbetrere)
  • Science process problems and tasks
  • data collection (Farr, Jacobs)
  • data exploration and analysis (Parr, Guimbetrere,
    White)
  • education and outreach (Shapley, Allen)
  • cross-cutting (Nardi)
  • Technology
  • identification (Farr, Jacobs)
  • information retrieval (White, Allen)
  • interactive data visualization (Parr,
    Guimbetrere, Shapley, White)
  • collaboration (Nardi)
  • Researcher background
  • Biologist-turned-technologist (Parr, Allen, Farr)
  • HCI researcher (Nardi, Guimbetrere, Shapley)
  • Other (White, Jacobs)
  • Approaches to biodiversity
  • Evolution (Guimbetrere, Farr,
    Shapley, Jacobs)
  • Ecology and Environment (Parr, Allen,
    White, Nardi)
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