User:J. C. Martinez-Garcia/Notebook/HMS Activities/2008/12/28

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 * style="background-color: #EEE"|[[Image:owwnotebook_icon.png|128px]] The Notebook of JCMG
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Continuing with the strategy setup
So, to decide how to cope with the battle, I need then to associate people with projects and then find the way how to proceed to the realization of the projects ensuring a good revenue of them. So, I associated people to projects in the way that I show now:


 * 1) Robustness:
 * 2) Eduardo Sontag
 * 3) Tzachi Pilpel
 * 4) Alex de Luna
 * 5) Pamela Silver.
 * 6) Network Theory:
 * 7) Jessica Flack
 * 8) Ricardo Houssman.
 * 9) Uri Alon.
 * 10) Evolution and Learning:
 * 11) Juan Pedraza.
 * 12) Mikhail Burtzev.
 * 13) Eva Jablonka.
 * 14) Pamela Silver.
 * 15) Arturo Lazcano.
 * 16) Biological Modeling (including conditioned interactions in rule-based modeling):
 * 17) Walter Fontana.
 * 18) Sandrine Spencer.
 * 19) Pamela Silver.
 * 20) Eduardo Sontag.
 * 21) Galit Lahav.
 * 22) Protein Stuff and experimental training:
 * 23) Pablo Ceroni.
 * 24) Devin Buril.
 * 25) Economical Resources:
 * 26) Julio Frenk.
 * 27) Esther Orozco.
 * 28) René Asomoza.
 * 29) Rafael Jiménez.

Priorities
I have then six different projects to follow. The priorities for all of them are the following ones:

Priority 1: Biological Modeling, Economical Resources, Protein Stuff and Experimental Training.

Priority 2: Robustness, Network Theory Evolution and Learning.

What does for a project to be in a given priority?

For priority 1 means that I will invest 60% of my time effort (six hours per day), and obviously just 40% (4 hours per day) for the projects involved in the second priority case.

I will organize the time consumption as follows:

Priority 1:

(2h) Biological Modeling (2h) Economical Resources (2h) Protein Stuff and Experimental Training.

Priority 2:

(1h20) Robustness (1h20) Network Theory (1h20) Evolution and Learning.

Concrete goals for each project

 * Biological Modeling:


 * Economical Resources:


 * Protein Stuff and Experimental Training:


 * Robustness:


 * Network Theory:


 * Evolution and Learning:


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