Development of an Agile Industry-Academia Interaction Model in the Context of Society 5.0 through Artificial Intelligence

  • Bernardes, Mauricio (PI)
  • Codinhoto, Ricardo (CoI)
  • Nemetz, Fabio (CoI)
  • Ruecker, Stan (PI)
  • Derksen, Gerry (CoI)
  • Libanio, Claudia (CoI)
  • Oliveira, Geisa (CoI)
  • Christiaans, Henri (CoI)
  • Westermeyer, J (CoI)
  • Salamanca, Juan (CoI)

Project: Other

Project Details

Description

This project develops an agile interaction model to improve collaboration between academia and industry within the context of Society 5.0. Using artificial intelligence tools, Design Thinking, and Design Science Research, the project identifies bureaucratic, cultural and organisational barriers that inhibit effective partnerships and proposes strategies and prototypes to streamline joint innovation processes. The work involves international cooperation (Brazil, UK, USA, Chile, Netherlands, Colombia), laboratory development, workshops, Delphi studies, and validation in an industrial case study.

Layman's description

This project aims to make it easier and faster for universities and companies to work together. Today, bureaucracy and slow processes often prevent them from collaborating effectively, which delays innovation. By using artificial intelligence and new ways of working, the team will create a model that helps both sides communicate better, coordinate their work more quickly, and turn ideas into real solutions. Workshops, international partnerships, and tests with a real company will help shape and validate this model. The goal is to support a future society in which technology improves quality of life and innovation happens faster and more smoothly.

Key findings

The project is expected to produce a validated, AI‑enabled agile model that improves the speed, quality, and effectiveness of interactions between universities and industry within the Society 5.0 framework. Through design workshops, Delphi studies, international collaboration, and case‑study validation, the project will generate new scientific knowledge on collaboration barriers and enablers; create practical guidelines and digital prototypes to support agile joint innovation; and demonstrate how artificial intelligence can reduce bureaucratic inefficiencies and enhance decision‑making in innovation ecosystems. The results will contribute to more human‑centred, technology‑supported, and socially impactful collaboration practices in Brazil and internationally.
Short title63,500.00
StatusActive
Effective start/end date1/01/251/01/27

Collaborative partners

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  1. SDG 4 - Quality Education
    SDG 4 Quality Education
  2. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  3. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  4. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

Keywords

  • industry-Academia collaboration
  • Society 5.0
  • Artificial Intelligence
  • Agile Methodologies
  • Design Science Research
  • Innovation ecosystems
  • Human-centred design
  • Digital Transformation

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