Patzke+Big+Data

Big Data

What “big data” could be used to see your issue better ?

Other interesting questions are:
 * What is ‘big data’ good for?
 * What do large numerical generalizations of users and uses do?
 * Why are they evocative for some readers and not for others?

I also present these questions:
 * What percentage of your body is owned by what percentage of biotech companies?
 * How many people are denied diagnostic tools developed by biotech companies because they cannot afford or do not have access to the licenses for those tests and tools?
 * As diagnostic tools based on genetic markers become more mainstream, what other forms of diagnostic tools are ‘left behind’?
 * What percentage of new bio-tech industry discoveries are patented?
 * Are codified as trade secrets?
 * Are licensed through patents?
 * Are not licensed by patents?

Specific to the AMP v. USPTO case:
 * How many patients who have been identified by Myriad as carriers of BRCA 1 and 2 gene sequences have been diagnosed with breast and ovarian cancer?
 * Have opted for preventive treatments?
 * Have not been able to make an ‘informed’ decision regarding the identification?
 * Have had other forms of genetic tests?

Were I to have answers to these questions, I'm not sure what I would be qualified to say with those answers. What type of argument would I make? How would I get beyond "this sucks"?