Considering the uncertainties of internal and external factors in collaborative innovation in mega-projects,introducing Gaussian white noise,constructing a stochastic evolutionary game model composed of contractors and academic researchers,ana-lyzing the evolutionary processes and strategy stability of both parties under random interference,and conducting sensitivity anal-ysis on relevant parameters through numerical simulations.The research indicates that the impact of random interference factors slows down the evolution speed of both parties,introducing fluctuations in the evolutionary process,with larger interference in-tensity leading to greater fluctuations.Both excessively high and low cost allocation coefficients and collaborative profit distribu-tion ratios are not conducive to active participation in collaborative innovation by both parties.An increase in the collaborative in-novation spillover coefficient slows down the evolution speed of both parties,with research and educational institutions being more sensitive than contractors.A larger reputation effect is more beneficial for both parties to actively choose collaborative inno-vation strategies.
MegaprojectsCollaboration InnovationStochastic DisturbanceStochastic Evolutionary Game