http://pad.constantvzw.org/public_pad/TouchingCorrelationsWorkshop

Courtenay Cotton - cvcotton@gmail.com - Please email me with followup questions!

Touching Correlations Program 
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Day 1:
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Day 2:


10.00 - 11.30 


11.30 -  13.00 

13.00 - 14.00 

14.00 - 15.00 

Videos:    
sentiment analysis: https://www.youtube.com/watch?v=ytUHvMNnzZk
advertising application: https://www.youtube.com/watch?v=EQhwNcQhP4g



15.00 - 16.00 

Neural Networks - Deep dream:
http://googleresearch.blogspot.com/2015/06/inceptionism-going-deeper-into-neural.html
http://motherboard.vice.com/read/why-googles-neural-networks-look-like-theyre-on-acid
http://rhizome.org/editorial/2015/jul/10/deep-dream-doggy-monster/


FURTHER REFERENCES (please add!):
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Workshop Slides:
https://docs.google.com/presentation/d/1xrpLDvXkyzsYLFSD1ZQO6aNndw5DPC9ZnJ2CGnr9aKo/edit?usp=sharing


Writings On Machine Learning Algorithms:
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Deep Learning:
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    Google's Deep Dream Project:



     Algorithms of the Mind: What machine learning teaches us about ourselves?
https://medium.com/deep-learning-101/algorithms-of-the-mind-10eb13f61fc4

     Computer Science Paper: Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images

Fiction:
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    Speak - A novel by Louisa Hall on artificial intelligence:
http://www.harpercollins.com/9780062391193/speak/web-sampler

        Methodology:
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Sedgwick has a book *Touching Feeling* (Duke UP) 
 - eve sedgwick: paranoid reading of secret structures of power that govern our lives. reading with negative affect. telling conspiracy stories in a paranoid way.  
 - latour thinks the paranoid conspiracy theory is itself a power move 
 - sedgwick looks to queer theory, queer communities to show that vulnerability leads to paranoia. you need stories big enough to combat feeling vulnerable. suggests reparative reading many ways communities extract sustenance from the objects of a culture whose avowed desire has been not to sustain them 
- Paranoid reading vs reparative reading: https://girlpower1.wordpress.com/2013/12/02/paranoid-vs-reparative-reading/
- The chapter "You're so paranoid, you probably think this introduction is about you" https://nonoedipal.files.wordpress.com/2009/09/paranoid-reading-and-reparative-reading.pdf

Weka tutorials:
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http://machinelearningmastery.com/how-to-run-your-first-classifier-in-weka/
http://www.ibm.com/developerworks/opensource/library/os-weka1/index.html
http://www.ibm.com/developerworks/opensource/library/os-weka2/index.html
http://www.ibm.com/developerworks/opensource/library/os-weka3/index.html


Weka Course and associated Videos:
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https://weka.waikato.ac.nz/dataminingwithweka/preview
https://www.youtube.com/watch?v=Exe4Dc8FmiM


Machine Learning Ontology:
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http://www.datascienceontology.com/


Tutorials and videos for further learning:
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http://www.toptal.com/machine-learning/machine-learning-theory-an-introductory-primer
http://machinelearningmastery.com/how-to-build-an-intuition-for-machine-learning-algorithms/
http://www.dataschool.io/15-hours-of-expert-machine-learning-videos/
http://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=MachineLearning
https://wakelet.com/wake/atfflSHf5/data-science


Statistics vs. Machine Learning:
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On CQRRELATIONS: the project that inspired us!
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References and works cited
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- Lucy Suchman, Human Machine-Reconfigurations (Cambridge U Press, 2007)
- Culturally Embedded Computing at Cornell (led by Phoebe Sengers: http://infosci.cornell.edu/faculty/phoebe-sengers)
- Values in Design workshops: 
- Dat project (http://dat-data.com)

Symposium on Obfuscation:
http://obfuscationsymposium.org
Rachel Law's Vortex is listed here:
http://obfuscationsymposium.org/obfuscation-tools/

I am taking notes here: http://pad.constantvzw.org/public_pad/notesTouchingCorrelationsWorkshopSeda
If you want, come join! :)

Anne Fausto Sterling "Bare Bones of Sex Part 1" 2005 - 
shh my link - https://www.dropbox.com/s/s4wmggbrwm43f8h/Fausto-Sterling%20-%20Unknown%20-%20The%20Bare%20Bones%20of%20Gender.pdf?dl=0
paywall official link - http://www.jstor.org/stable/10.1086/424932

How do we tell stories about big data? What major governmental-industry projects are legitimized by big data methods? -- absolutely, why does harvesting and processing data accumulate power to decide and act and how? 
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Chelsea Clinton: Internet Access Is Key to Gender Equality
 - http://www.wired.com/2015/03/chelsea-clinton-no-ceilings/
 What governmental modes of operating and knowing come out of big data practices? what social dilemmas, issues around the distribution of power do they seem to solve? (governmentality, power/knowledge, biopolitics)

Heidi Schelhowe who was a big figure in feminist critique of computing in Germany in the 90s and 00s:
http://dimeb.informatik.uni-bremen.de/documents/artikel.2005.Schelhowe.Paradigms.pdf
who was also instrumental in getting informatica feminale, a summer school for women in computing off the ground:
https://www.informatica-feminale.de


    Data sets we found: 
http://www.thenewyorkworld.com/ as an alternative https://nycopendata.socrata.com/
        Wikileaks CSV
        Piketty's data on inequality


Can someone post the link to the PDF of the Weka book? I didn't get it. - lilly
Weka data mining book: http://www.cse.hcmut.edu.vn/~chauvtn/data_mining/Texts/[7]%20Data%20Mining%20-%20Practical%20Machine%20Learning%20Tools%20and%20Techniques%20(3rd%20Ed).pdf