Future Research Directions, PhD Topics

Future Research Directions in Self-organizing and Complex Systems

Emergence
Social computing
- monitoring and control of social systems
- transportation systems
- web of data/linked data
Methodologies for design and control of S-O.S.
- trust
- vulnerability
- validation/verification
- multi-scale interactions
- Related work:
  - Frei, R. and Di Marzo Serugendo, G. (2011). Advances in Complexity Engineering. To appear Int. J. of Bio-Inspired Computation. [1]
  - Gershenson, C. (2007). Design and Control of Self-organizing Systems. CopIt ArXives, Mexico. TS0002EN. [2]

Software Engineering methodology (SE paradigm like the Evolutionary one to speed up design)

Theoretical foundation of SOS (a sort of NP-completeness theory, to say for which problems the SO approach is better than the alternatives and waht wes hould expect from them)

Macro-levels models (tools to understand what happens not only at the micro-level)

Socio-technical systems
- Systems including human and technical components both self-organizing
- Use case: intelligent transportation in cities to reduce travel time, CO_2 emissions, etc. (public transport, vehicles, pedestrians)
- Use case: intelligent waste management - collecting and recycling of goods/waste in an autonomous way
Assistive cooperative systems
- Systems assisting humans on-demand, autonomous assembly and sharing of components
- Components may be robots, software, etc.