I am currently a co-investigator on a grant proposal that is being submitted to US NIH (National Institutes of Health) under NIH's new Challenge program recently formulated to foster transformative solutions.
With my two University co-investigators, I will be seeking to prototype a new technique for predicting the structure and function of proteins whose crystal structures have been deposited in the PDB, but which have no known "homologs" (close relatives) wth known structure and function.
Strange as it may seem, I have decided to make the subscription NW stack a critical part of this endeavor.
I say "strange" because most people think of NW as a "business" stack, not a "scientific stack".
But I think this attitude is simply due to the fact that no one has yet demonstrated that the NW stack is actually an excellent IDE for scientific tasks that require the acquisition, organization, and mining of large amounts of different kinds of data, dynamic interaction with specialized scientific and statistical packages, and presentation of data-mining results to end-users.
So, the question I'm asking is whether SAP should set up some kind of program (kind of like Innocentive) in which SAP acts a broker between SAP customers who might benefit from scientific BI applications and academic research teams who would be interested in developing such applications.
In my case, such SAP customers would naturally be found in the pharma sector, but I am sure there are many other vertical sectors that could benfit from "triangular" alliances between SAP, SAP customers, and university research teams.
Any thoughts on this matter?
You must be a registered user to add a comment. If you've already registered, sign in. Otherwise, register and sign in.