The turbulent global digital-data revolution is delivering a bonanza of research opportunities. In most disciplines these promise significant advances in understanding, but today we have to invest unsustainable amounts of intellectual effort and energy to obtain those advances because our conceptual tools and their supporting technology have not yet grown to meet the challenge of data wealth. The talk reviews some of the ways in which we can sharpen our data-intensive tools and discuss early experiences in several application areas.
Attachment | Size |
---|---|
Talk.PDF | 6.2 MB |