Dear Ruben, I have very rough idea about my vision: diffusion. Local geographically predetermined cultures and societies became mixed with an increasing speed of diffusion. There is explosive growth of migration, long distance communication by internet and mobile phones. There is structural change in a society. If long ago we had more solid societies, they first became liquid (with flows, diffusion) and then more like gas state (with even more diffusion and convection).

If it is hard to understand physical terminology, you can look for analogies between physical and social terms in this article: Article Econo-physics: A Perspective of Matching Two Sciences

Dear researcher,

The social sciences are poised for a transformation. New data from the Internet and social media, when combined with newly available administrative and transactional data, have the potential to greatly expand the questions that can be addressed, as well as the spatial and temporal scales at which they can be addressed. It is time to embrace the “big data” revolution and capitalize on advances in information technology and data science as they apply to the specific needs and challenges of the social sciences. For example, by using data from social networking sites, business transactions, smartphones, and online experiments, we can learn about labor market and consumer behavior and assess vulnerability to weather events and the impact of local and national policies and programs in real time. Behavior and human well-being are situation and place specific, and vulnerable populations tend to be spatially clustered rather than randomly distributed. To generate analyses that incorporate this spatial variability will require entirely new ways to collect, and link, diverse data to improve population health, reduce environmental and social vulnerabilities, and better prepare people for the jobs of the future.

Arguably, the most important frameworks in the Social Science (of the 21 century) pertain to chaos and complexity science, network science and network analysis, web science, singularity, and future studies. These are strongly inter- or trans-disciplinary frameworks.

Regards, CT