Achieving effective decarbonization requires technological innovation and understanding of behavior. Drawing on an interdisciplinary workshop, this paper emphasizes integrating behavioral insights into climate policy design to ensure technical effectiveness, social acceptability, and equity. We propose a framework combining behavioral data, choice modeling, agent-based simulation, and optimization to assess policy impacts under deep uncertainty. Although focused on transport, the approach generalizes across sectors.