Science Environment for Ecological Knowledge
Ecoinformatics site parent site of Partnership for Biodiversity Informatics site parent site of SEEK - Home
Science Environment for Ecological Knowledge









 

 

 



April 42005

Difference between version 25 and version 19:

Line 3 was replaced by line 3
- *Establish an point person at each university for infrastructure (i.e., getting course number,advertising course, etc.)
+ *Establish a point person at each university for infrastructure (i.e., getting course number,advertising course, etc.)
Lines 16-20 were replaced by lines 16-21
- !Class format was discussed.
- Parrallel seminars that are coordinated enough to meet and overlap
- Shared curriculum
- Classes should be both computer science classes and ecology classes
- Each class could answer a regional biological/ecological question; data needed about 4 to 5 datasets which could then be used to synthesized across regions to answer the same biological/ecological question at a national scale
+ !Class format was discussed
+ Parrallel seminars that are coordinated enough to meet and overlap;
+ Shared curriculum;
+ Classes should be both computer science classes and ecology classes;
+ Each class could answer a regional biological/ecological question;
+
Lines 22-37 were replaced by lines 23-38
- *Defining an interesting project from the ecology side that would also have an interesting enough computer science component.
- *Suggestions included
- **Comparing and contrasting and knowledge representation of key ecological/biological issues--i.e., having students create nonformal ontologies on underlying concepts and comparing these ontologies to look at the relationship between diversity and productivity.
- **Have students work on creating real application workflows --Creating conceptual models in kepler based on data and comparing those models –
- **replicating the KNB working group study on biodiversity/productivity different measure of diversity
- **Sampling properties of different types of species-area curves and how they reflect underlying ecological processes.
- **Comparing and contrasting the two common experimental approaches used in understanding of biodiversity and productivity -- manipulations of productivity and the alternation of the number of species or functional groups.
- *Identifying individuals from both the computer science and biology/ecology side to assist in teaching the course --
- **Bertram/Shawn
- **Town Peterson
- **Alan Hastings
- **Susan Gauch
- **Stephen Cox
- *students should be able to get a publishable paper from class participation
- *make sure the credit hours reflect the amount of outside class work
- *Identify data that would be available – grassland biodiversity --
+ Defining an interesting project from the ecology side that would also have an interesting enough computer science component. Suggestions included:
+ *Comparing and contrasting and knowledge representation of key ecological/biological issues--i.e., having students create nonformal ontologies on underlying concepts and comparing these ontologies to look at the relationship between diversity and productivity.
+ *Have students work on creating real application workflows -- Creating conceptual models in kepler based on data and comparing those models –-
+ *replicating the KNB working group study on biodiversity/productivity different measure of diversity
+ *Sampling properties of different types of species-area curves and how they reflect underlying ecological processes.
+ *Comparing and contrasting the two common experimental approaches used in understanding of biodiversity and productivity -- manipulations of productivity and the alternation of the number of species or functional groups.
+ Identifying individuals from both the computer science and biology/ecology side to assist in teaching the course --
+ *Bertram/Shawn
+ *Town Peterson
+ *Alan Hastings
+ *Susan Gauch
+ *Stephen Cox
+ Students should be able to get a publishable paper from class participation.\\
+ Make sure the credit hours reflect the amount of outside class work.\\
+ Identify data that would be available before class starts. \\
+ Question should be scalable across regions to answer the same biological/ecological question at a national scale.

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