Science Environment for Ecological Knowledge
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Science Environment for Ecological Knowledge









 

 

 



April 42005

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Action Items

  • Establish a working group to design the distributed graduate seminar
  • Establish a point person at each university for infrastructure (i.e., getting course number,advertising course, etc.)
  • Establish a working group page
  • 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; 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

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 – grassland biodiversity --



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This particular version was published on 02-May-2005 18:16:56 PDT by LTER.sromanello.