Canyon wren: “Machine Learning for Understanding and Managing Ecosystems," Bird migrations and coding for these, How would one best code an evolutionary biological virtual earth for STEM research with time slider - and for experimentation?, In terms of modeling such a film-realistic virtual earth further, I was excited to hear that Jim said IBM has access to the Weather Channels' data, In a related vein, and planning for STEM ethno-wiki-virtual-world-graphy and at the Street View, Cellular and Atomic (Nano) levels ... Earth and Moon:

Hi Tom, 

Thanks for you fascinating IBM CSIG talk, “Machine Learning for Understanding and Managing Ecosystems," this morning. Here are some of the questions I asked: 

(As a Reed College graduate who has studied old growth forest in Oregon as an undergraduate), in what ways could your fascinating research, Tom, be best modeled in a developing film-realistic, interactive, 3D, group-build-able virtual earth developing for STEM research such as this - eg Google Street View/Maps/Earth with time slider with OpenSim (and planning for all 8k languages) in five years? What new predictions would this facilitate? What new ecological interactions? What new integrations of more sources of data might be possible and in what sequence? How would one best code an evolutionary biological virtual earth for STEM research with time slider - using the research you presented, for example - a kind of developing, very sophisticated collective graphical models? Do you know of any? 

On the non-computational modeling side of things, how would the computational modeling research you presented this morning incorporate the findings of a biologist on the ground of a stand of Tamarisk trees that didn't meet your models parameters? (I ask this in the context of developing a new methodology I'm calling ethno-wiki-virtual-world-graphy - http://scott-macleod.blogspot.com/search/label/ethno-wiki-virtual-world-graphy).

In terms of modeling such a film-realistic virtual earth further, I was excited to hear that Jim said IBM has access to the weather channels' data. 

(I've given an IBM CSIG talk on conceptualizing an universal translator -http://scott-macleod.blogspot.com/2016/05/fertilisation-ibm-csig-talk-05-may.html and http://worlduniversityandschool.blogspot.com/2016/05/ibm-csig-talk-05-may-scott-macleod.html).

Thank you!

Scott

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IBM CSIG talk

Tom Dietterich

“Machine Learning for Understanding and Managing Ecosystems," https://www.youtube.com/watch?v=_48AE-qGr4E and http://www.slideshare.net/diannepatricia/machine-learning-for-understanding-and-managing-ecosystems

Machine Learning for Understanding and Managing Ecosystems from diannepatricia

04 Aug

Thomas Dietterich

“Machine Learning for Understanding and Managing Ecosystems”

Oregon State University

Slides

Recording

http://cognitive-science.info/community/weekly-update/

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In a related vein, and planning for STEM ethno-wiki-virtual-world-graphy and at the Street View, Cellular and Atomic (Nano) levels ...

Earth and Moon: How to plan for a film-realistic interactive virtual earth for STEM wiki research in 8k languages that ROTATES for scientific realism re ethno-wiki-virtual-world-graphy …?, Not quite this, but along these lines around oneself in an augmented reality 15' cubed "classroom" ... and for brain research ... "LabCAST 82 Holosuite" from the MIT Media Lab ... and could also become a little augmented reality space ship, for example. (How do you drive this thing? :)), in a related vein, I found this - San Francisco Opens Superpublic Innovation Lab here on the MIT Media Lab web site - https://www.media.mit.edu

http://scott-macleod.blogspot.com/2016/07/earth-and-moon-how-to-plan-for-film.html

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https://en.wikipedia.org/wiki/Canyon_wren

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