ASCS Brochure #2025 - Magazine - Page 23
THE OUTCOME: 10 THESES FOR A
SUSTAINABLE FUTURE
At the Automotive CAE Grand Challenge 2025 in Hanau,
the group presented a first version of the position paper,
built around ten strategic theses:
1. Modeling, simulation, and artificial
intelligence (AI) are essential tools for
developing sustainable mobility solutions in
a holistic and data-driven way.
2. Modern simulation and AI technologies are
critical to reliably manage the growing
complexity of sustainable mobility systems.
3. Simulations and AI help to build a shared,
long-term understanding of the complexity
of modern mobility systems – instead of
relying on fragmented or conflicting
interpretations.
COMMUNITY FEEDBACK: GRAND CHALLENGE
WORLD CAFÉ AND FISHBOWL DISCUSSIONS
The theses were not presented in isolation - they were put
to the test through open dialogue with the simulation
community during the World Café and Fishbowl formats
at the CAE Grand Challenge event in Hanau. Several new
and important dimensions emerged:
•
Mindset matters: Technology alone isn’t enough;
companies need to foster awareness, training, and
openness to change.
4. Simulation and AI foster genuine
interdisciplinary collaboration by enabling
shared platforms and common models.
•
Simulation and AI must be distinguished: AI can
increase opacity (e.g., black-box models), while
simulation often brings clarity.
5. Simulation and AI are key enablers of
informed, transparent and reliable
decision-making in sustainable mobility.
•
Time pressure is real: Many saw simulation as the
only viable response to today’s development speed
and cost pressures.
•
Visualization is key: Making simulations emotionally
and visually accessible can increase understanding
and buy-in, especially among decision-makers.
•
Ethics and trust: The group discussed the need for
transparency and explainability to ensure responsible
use of data and models.
6. Simulation and AI enhance Europe’s
competitiveness in sustainable mobility especially by accelerating development
processes.
7. Integrating simulation and artificial
intelligence (AI) is essential for developing
sustainable mobility solutions efficiently and
with minimal resource use.
8. Simulation and AI provide objective insights
– enabling a more fact-based and
constructive dialogue on sustainable
mobility.
9. Modeling, simulation and AI enable the
targeted and economical use of energy - in
the development, production and operation
of sustainable mobility solutions.
10. Simulation and AI enable sustainable
mobility solutions - through forward-looking
material and energy planning, ecological
impact analyses and circular value creation
as early as the product development stage.
WHAT’S NEXT: TOWARDS A FINAL POSITION
PAPER
The feedback from the Grand Challenge will be
incorporated into a refined version of the position
paper, which will be presented in its final form at the ASCS
Members’ Meeting in July 2025. The working group
continues to meet, reflect, and sharpen the message —
driven by a shared belief that simulation and AI are more
than tools: they are strategic levers for sustainable
change.
Stay informed: The final position paper will be available for
download on the ASCS website after the July meeting.
Members are invited to contribute their feedback, ideas, and
use cases as this living document evolves.
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