2020
Report  Open Access

CNR Foresight project - MAD4Future (Models, Algorithms, and Data for the Future) working group - background document

Colantonio S., Bacco F. M.

models  data  algorithms  future  foresight 

The Science and Technology Foresight Project seeks to define a medium to long-term vision - 5 to 30 years - in order to elaborate coherent research strategies relevant to socially critical problems in the field of environment, health, food, energy, security and transportation. Both, the holistic approach applied to the analysis of the topics, as well as the innovative format of the invitation-only workshops, enticed the participation of internationally acknowledged experts. This framework guaranteed all participants the necessary conditions to carry out an open interactive debate, consolidating a collective intelligence, which assisted in achieving a consensus on research priorities, knowledge gaps, and funding needs. This approach is designed to facilitate convergence towards common positions in order to address the social acceptability of future products and services and resultant market potential. A strong consensus among the workshops' participants during the past four years has been reached regarding the urgency of scientific and technological breakthroughs in a number of issues, strongly correlated to each other, which need to be tackled. The issues can be summarized as follows: (i) development of materials to perform different functions according to external environmental conditions and to respond to different requirements; (ii) interaction between AI, data, models, and knowledge in order to design learning machines that provide satisfactory explanations to humans for their decisions, continuously learn to respond to unknown conditions, and robustly handle adversarial examples; (iii) systems considered as a global entity with all kinds of dimensions and always analysed by parts with proper interfaces. The study of the interactions between the interfaces, the dynamics and the communication ways is of primary importance for understanding the functioning of the systems themselves, even if the nature of the interactions can be very varied and may require multi-scaling treatment. The aim of the present document is to identify foresight priorities within the topic "Models, Algorithms, and Data for the Future", which indicate a roadmap for the discussion in future workshops.

Source: ISTI Working Papers, pp.1–9, 2020



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BibTeX entry
@techreport{oai:it.cnr:prodotti:446284,
	title = {CNR Foresight project - MAD4Future (Models, Algorithms, and Data for the Future) working group - background document},
	author = {Colantonio S. and Bacco F. M.},
	institution = {ISTI Working Papers, pp.1–9, 2020},
	year = {2020}
}
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