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As a business academic, I can absolutely confirm that popular press attention corrupts us just as much as power corrupts political leaders. I can’t speak outsid
by CrazyCatDog 5y ago
As a business academic, I can absolutely confirm that popular press attention corrupts us just as much as power corrupts political leaders. I can’t speak outside of b-schools, but suspect it’s no different.
If anyone is privy to a platforms that would allow me to share proprietary data such that skeptics can run aggregated statistical analyses whilst limiting the ability to surface results with insufficient samples (to prevent scrapping the the proprietary data—if not proprietary then there is no excuse for not fully sharing) please comment!
If not, YC hopefuls here is your chance to ACTUALLY make the world a better place!!! Happy to use my platform to recruit as many social scientists as you need to secure funding for a POC—seriously, ping me!
Must haves:
* Easily palatable settings for data obfuscation (non-tech corporate GC must be able to grok the level of obfuscation)
* Trivial sliders to change level of obfuscation (eg min number of observation to run a “test”)
* Messaging system to facilitate requests and permission granting between authors and skeptics
* Enterprise-level data retention and documentation, such that changes to the “official” data set area reflected publicly
* Cloud based R, Python, Stata functionality (else the solution would have to run locally in such a way that the granular data cannot be accessed directly on local machine—and this would likely be a non-starter for corporate GC’s). Ideally, one could reuse their local license for proprietary software (eg Stata), if not then said vendors will delight in an additional “attach” license to charge researchers even more (see below, there are beacoup bucks that will gladly be spent on this)
Business model: researcher’s academic institution would (gladly) pay (if you get pushback, call the university’s academic HR department, find out who is in charge (Ie associate provost of research or HR) and email them asking they are prepared we’re to shine a spotlight on their own “Andrew Bird and Stephen Karolyi” like scholars). They will call you in 5 min.
GitHub will acquire you post-POC upon enlisting 2-3 major universities (again, I know what higher-Ed procurement cycle is like, contracts will be signed record time). If GitHub fails, Google scholar will acquire you.
- anchpop 5y agoHmm, I wonder if one could use differential privacy to make mathematically certain that no individual data point could leak. Although that may not be a strong enough guarantee
- CrazyCatDog 5y agoYes, I’ve seen it on websites (eg GMAC) but the operators available are trivial (e.g. mean, median)… system will not process the request if the sample is too small (I think the minimum sample size is actually a function of how much you pay)