1. http://knb.ecoinformatics.org http://seek.ecoinformatics.org SEEK: Enabling Ecology and Biodiversity Science Through Cyberinfrastructure

2. Information Content Time Time of publication Specific details General details Accident Retirement or career change Death (Michener et al. 1997) Data Entropy

3. What Users Really Want… Contaminant TransportEcosystems, Biocomplexity Marine Microorganisms Seismic Structure Response

4. SEEK Overview

5. Morpho

6. SEEK Science Environment for Ecological Knowledge EcoGrid Access to environmental data Analysis and Modeling System Modeling scientific workflows Semantic Mediation System “Smart” data discovery and integration Knowledge Representation Classification and Nomenclature Biodiversity and Ecological Analysis and Modeling

7. Lotka-Volterra Predator Prey Model

8. SEEK EcoGrid Integrate diverse data networks from ecology, biodiversity, and environmental sciences Grid-standardized interfaces Metadata-mediated data access (EML) Computational access Pre-defined analytical services On-the-fly analytical services

9. EcoGrid client interactions Modes of interaction Client-server Fully distributed Peer-to-peer EcoGrid Registry Node discovery Service discovery Aggregation services Centralized access Reliability Data preservation

10. Label data with semantic types Label inputs and outputs of analytical components with semantic types Use reasoning engines to generate transformation steps Beware analytical constraints Use reasoning engine to discover relevant components Semantic Mediation DataOntologyWorkflow Components

11. Ecological ontologies What was measured (e.g., biomass) Type of measurement (e.g., energy) Context of measurement (e.g., Psychotria limonensis) How it was measured (e.g., dry weight)

12. Growl Ontology Viewer Showing the Measurements Ontology

13. Geographic SpaceEcological Space occurrence points on native distribution ecological niche modeling Projection back onto geography Native range prediction Invaded range prediction The SEEK Prototype: Ecological Niche Modeling temperature Model of niche in ecological dimensions precipitation Biodiversity information … e.g., data from museum specimens Geospatial and remotely sensed data Results taken to integration with other data realms (e.g., human populations, public health, etc.)

14. Species prediction map Predicted Distribution: Amur snakehead (Channa argus) Image from http://www.lifemapper.org

15. Future Scenarios Future scenarios based on general circulation models (GCMs) present diverse visions of global climate futures. The implications of these different futures for biodiversity are only now being explored…

16. SEEK/Kepler Mammal-CC Project Build pipelines for automated processing of CC/biodiversity analyses Prototype application to mammals of Western Hemisphere 15-20 GCM scenarios, including all IPCC scenarios 2 major evolutionary-computing algorithms (GA and NN) 2-3 dispersal scenarios 2000-3000 species 2 algorithms 100+ models/species/algorithm 500,000 – 1,000,000 models Test large-scale implementation of Kepler Provide a hemisphere-wide view of mammal diversity Provide a massive comparison of CC implications as function of region clade scenario Enable many other parallel apps

17. Networking Biomedical Informatics Research Network CHESS

18. Education SEEK New Faculty & Postdoc Workshop January 5-9, 2004 70 applicants 16 slots

19. Citizen Science