I fully agree with the idea p7 to go from big challenges to small questions.
And I think that part III, Knowledge Technologies needs more than Computer science and its present sections. We should not start from Tabula Rasa as more less implied in many arguments heard during Open-GSS2. If we adopt a State of the Art/ Beyond the State of the Art analysis as requested when answering European calls for projects, the state of the art could be Complex Systems approach and beyond SoA GSS.
Following foundation works in the late 40′s in discrete maths and network of automata, the idea of a search for generic properties, (equivalent to classes of universality), was a step-back from the pretention of full predictions about a complicated system under study (such as the Brain, the Earth climate, or predicting the phenotype from the genotype). SFI research e.g., although not unique, was a search for generic properties, stylised facts, scaling laws etc. to be observed in different systems such as the brain, the immune system, societies etc. In this quest, computer simulations played an important role, and this might be the reason for the confusion about Complex system research = Computer simulations.
It as already be proposed that GSS research implies:
- Systems of Systems, and obviously their couplings;
- Global systems, at the level of the Earth Globe;
- A science for policy making. Because of the difficulty to deal with such challenges I would also add smaller horizontal questions such as:
- The Man in the loop, i.e the coupling between the dynamics of human individual and social cognition (representations, learning, paradigm shifts etc.) and the dynamics of natural systems such as Climate, natural resources, Energy and so on. I would also lift the obligation to use Big Data, HPC, Global Challenges as compulsory request to start Research.