Science Environment for Ecological Knowledge
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Science Environment for Ecological Knowledge









 

 

 



April 42005

Difference between version 25 and version 2:

Line 1 was replaced by line 1
- !Action Items
+ !!Action Items
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- *Establish an point person at each university for infrastructure (i.e., getting course *number,advertising course, etc.0
+ *Establish a point person at each university for infrastructure (i.e., getting course number,advertising course, etc.)
At line 4 added 35 lines.
+ *Set up meeting for every two weeks
+ !!Notes
+ Members of the SEEK Exec proposed establishing a working group to design and implement the distributed graduate seminar.
+ !The course should be held at 3-4 of the SEEK institutions.
+ Proposed institutions include UC Davis, UCSB, KU and UNM.
+ Current point people
+ *Bertram and Shawn, UC Davis
+ *Mark Schildhauer, UC SB
+ *Samantha Romanello and Deana Pennington, UNM
+ *James Beach?!?!, KU
+ due to scheduling issues link universities based on whether they run semesters:UNM/KU or quarters: UCSB/Davis.
+ !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;
+
+ !KEY ISSUES
+ 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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