MOdellistica Numerica e Data-driven per l’Innovazione sostenibile

(numerical and data-driven modelling for sustainable innovation)

The project activities aim at effectively combining together the numerical and data-driven modelling of delay differential equations with those of stochastic differential equations for investigating the dynamics of complex production systems and supply chains in view of sustainable innovation according to the National Research Plan PNR 2021–2027.

MONDI is funded by the University of Udine under MUR DM 737 as part of NextGeneration EU (CUP G25F21003390007), it is coordinated by Dimitri Breda and features a research team made of CDLab members as well as the Universities of L’Aquila and Salerno as external partners, with respectively Raffaele D’Ambrosio and Dajana Conte as local coordinators.


  • PI: Dimitri Breda
  • CDLab: Alessia Andò, Enrico Bozzo, , Davide Liessi, Rossana Vermiglio
  • University of L’Aquila: Raffaele D’Ambrosio, Stefano Di Giovacchino, Carmen Scalone
  • University of Salerno: Dajana Conte, Ida Santaniello

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