Drug Innovation 2.0 – Why we Need Knowledge Metrics for Democratic Action
In this presentation we share three current challenges for innovation in drug design. 1) Group dynamics – Scientific collaboration typically occurs through networks. Inefficient collaboration and networking can lead to tunnel vision; innovation opportunities through more distant networks may be overlooked. Knowledge metrics can encourage new and productive networks, by appropriately rewarding contributing network members. 2) Information overload – Information and knowledge are not the same thing. We have too much (unstructured) information and we lack the time required to structure this information into knowledge. Knowledge metrics can encourage the ranking, structuring, and accessing of information on a reward-per-use basis. 3) Data silos – Data silos caused by technical or license hurdles, can reduce the number of efficient collaboration options. Knowledge metrics should clearly reward barrier-breaking and silo-bridging efforts, and favor new and diverse over redundant information…Drug designers, lawyers and computer scientists have a unique opportunity to take on these challenges – drug innovation 2.0!