STPDE: Future applications

De Wiki livre Netizenship
Révision datée du 21 mars 2016 à 18:24 par Thanasis (discussion | contributions) (Our goal)

The socio-technical properties of digital environments as a defined measurable and verifiable goal

Learning from the AlphaGo

In March 2016, AlphaGo beat Lee Sedol in a five-game match, continuing the long tradition of machines learning from, competing and surpassing humans. Is it about time for humans to learn from "computers and networks" or, else, computer and network mediated environments.

Digital environments

A digital ecosystem is a distributed, adaptive, open socio-technical system with properties of self-organisation, scalability and sustainability inspired from natural ecosystems. Digital ecosystem models are informed by knowledge of natural ecosystems, especially for aspects related to competition and collaboration among diverse entities.

Our goal

How to better understand the underlying technical and social factors that underpin individual and organizational behaviors in the field of digital environments? If all indicators are modular and variable, how scientific-solid grounds could be used to anticipate future of the Internet and other related digital trends?

We propose (five) 5 key invariant socio-technical indicators enabling qualitative and quantitative assessments of past, present and future trends in digital environments. Our challenge is to overpass the state of intuitive guess, through complexity management approaches, no matter if it's top-down (with mixing theoretical experts and grass-root activists) or bottom-up (with application of wisdom of crowds). We propose to assess whether digital environments possess properties, somehow like water do possess properties (freezing at 0 C°, evaporating at 100 C°).

Success metrics

Measuring the goal

State of the art

Technological barriers

Submitter's role: coordination

Funding the grand challenge work

Additional background material