Trust Decay in Infrastructures: When Policy Meets Polarized Information

Tue, 24 Mar 2026 00:00:00 +0000

In traditional policy modeling, we often operate under a dangerous assumption: Perfect Execution. We assume that if a policy is scientifically sound and economically efficient, it will be adopted and followed.

However, as we navigate increasingly complex digital and social landscapes, a hidden variable is emerging as the ultimate gatekeeper of success: Institutional Trust.

1. The Decay of Trust in Digitalized Environments

My ongoing research, particularly aligned with my interests at the UC Berkeley I School, focuses on the evolution of public trust within changing information environments.

Trust is not static; it decays. In a world of algorithmic filter bubbles and strategic misinformation, the “decay rate” of trust in public institutions (like health departments or energy regulators) has accelerated. When people lose trust in the source of information, they don’t just ignore the message—they often adopt the opposite behavior as a form of resistance.

2. The “Trust Parameter” in Energy Modeling

This is where the theoretical meets the practical. In energy systems modeling—a key focus for my future work with the Princeton PPPP—models typically assume that carbon taxes or renewable subsidies will result in predictable shifts in consumer behavior.

But what if we introduce a Trust Parameter?

The Misinformation Loop: How does misinformation about climate change or nuclear safety alter the perceived risk-benefit ratio?
Policy Failure: In a polarized society, even a financially beneficial energy policy can fail if it’s perceived as an “elite-driven” agenda.
Improving Predictability: By quantifying how trust fluctuations—driven by digital information interventions—impact policy compliance, we can build models that are not just mathematically elegant, but sociologically robust.

3. Future Academic Outlook

As I move toward my dissertation defense and subsequent postdoctoral research, my “Future Academic Calendar” is centered on this intersection: How can we design resilient public infrastructures that account for the fragility of human trust?

Whether we are fighting a pandemic or a climate crisis, the most critical infrastructure we must maintain is not made of steel or fiber optics—it’s the invisible bond of trust between the state and its citizens.

Part 3 of my series on Behavioral Economics and Public Policy. My PhD dissertation defense is scheduled for April 14, 2026.

UC Berkeley I School | Yichao Jin | Academic Blog

Trust Decay in Infrastructures: When Policy Meets Polarized Information

1. The Decay of Trust in Digitalized Environments

2. The “Trust Parameter” in Energy Modeling

3. Future Academic Outlook