to take just a few examples: formalisms that can represent complicated systems by building them up in a sequence of layers; algorithms as step-by-step procedures for solving problems; the dichotomy between centralized and decentralized sytems; and the emerging role of massive datasets together with techniques to extract structure from them. (interview with kleinberg)

creating datasets, face the challenge:

how to make sense of data at this resolution, and how to ensure people's privacy in a world where this kind of data exists. But if we can overcome these challenges, we'll have much better insight into how to make on-line tools better conform to the ways in which people read, write, search, and communicate --- and more generally how to design on-line tools for a world in which people are increasingly dependent on them.

if you wanna understand a piece of information on the web you need to understand its position within the network ... similar thoughts discussed at different corners. small world, indeed.

...he expects the growing volume, complexity, and variegation of information to force people to either create tools to more effectively handle the data or devise new management styles.(acm concludes)

but I also believe in art, guesswork and interfaith.