In light of the increasing material costs, energy costs and sustainability requirements, future designs across automotive, aerospace and tooling will need to be yet more proactively optimised. However, further gains in lightweight performance cannot come at the cost of excessive commercial development or end-user operating risk and costs. Even strongly optimized components must remain fit for purpose and behave robustly under real-world variabilities of operating conditions. Hence, it follows that robustness is a critical aspect in ensuring designs are sustainable, both for the product manufacturer as well as the end-users. The proposed session can discuss recent breakthroughs in mathematical methods, such as phasefield based optimizations including stochastic risk metrics such as Conditional Value at Risk (CVaR), that are common in the financial sector, for assessing and actively managing risk in engineering design optimization. Numerical implementation strategies of how to include real-life variabilities in design optimization for safety-critical applications across automotive, aerospace and high-performance tooling applications can be discussed, including showcases of components in operations. Examples for isotropic as well as anisotropic use cases. Finally, if requested, current RD on fluid-structure stochastic topology optimization that require HPC algorithms can be shown.