1. Human-Computer Interaction in Biodiversity Informatics Workshop in association with the 22 nd 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 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 Modified from Wikipedia “Ecoinformatics” entry Information and problem-centered

5. The study of interaction between people (users) and computers.users 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 Human-computer interaction Wikipedia “HCI” entry 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 Lunch table tomorrow

8. Biodiversity plants (White, Jacobs) fungi (Farr) animals (Allen, Nardi) multiple (Parr, Shapley, Guimbetrere) Approaches to biodiversity Evolution (Guimbetrere, Farr, Shapley, Jacobs) Ecology and Environment (Parr, Allen, White, Nardi) 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) Organization of speakers