Eric Gladstone
Behavioral and computational scientist
I study how information is distributed, interpreted, and transformed through networks, and how communication structure shapes judgment, coordination, and collective behavior across human, organizational, and AI systems.
My work combines experiments, network analysis, measurement, simulation, statistical inference, and computational systems to make difficult-to-observe processes more measurable, manipulable, and testable.
Systems
Some research questions require building the environment in which the process can be observed.
I build controlled multi-agent environments, simulations, communication-trace inference systems, analytical pipelines, and research software when existing data or tools cannot expose the relevant process directly. These systems make communication structure, information access, routing, model capability, and other conditions manipulable, or test what can be recovered when the underlying process is only partially observed.
Applied work
I have spent much of my career in settings where research questions arrive underspecified, measurement is imperfect, populations are heterogeneous, and decisions must be made before every source of uncertainty can be resolved.
Across technology, public health, media, organizational research, public affairs, and commissioned work, I have designed experiments and measurement systems, analyzed behavioral and relational data, built research infrastructure, and translated evidence into decisions while keeping the limits of the design explicit.