Information cascades
How narratives travel, mutate and become collective signals across networked communities.
PhD Candidate · Computational Social Science
Following ideas as they ebb and flow.
I investigate how complex systems shape human decisions, turning rigorous research into clear evidence, reproducible methods and questions that move a field forward.
01 / Research
Questions worth
staying with.
My work sits between behavioral science, computational methods and responsible technology. Each project begins with a precise question, then follows the evidence wherever it leads.
Human decision systems
Understanding the behavioral patterns that emerge when people make choices with incomplete information.
Responsible intervention
Designing interventions that improve information quality without compromising autonomy or trust.
02 / Methods
A toolkit for
deep inquiry.
From study design to model interpretation, I build transparent workflows that make complex findings easier to interrogate, reproduce and communicate.
Mixed MethodsNetwork AnalysisCausal InferenceSurvey DesignQualitative CodingData VisualizationResearch Ethics
03 / Journey
From question
to contribution.
Thesis fieldwork
Running the final study phase and synthesizing evidence across three empirical chapters.
Behavior & networks lab
Built reproducible research pipelines and supported collaborative studies on digital communities.
Methods seminar
Designed workshops on research design, interpretation and communicating uncertainty.
04 / Selected Work
Evidence,
made legible.
The shape of a cascade
A longitudinal analysis of how network structure changes the persistence of contested narratives.
Signals & trust
Testing how uncertainty cues influence decisions in information-rich environments.
3Empirical chapters
12Research talks
7Collaborators
4Teaching terms
05 / Contact
Let's follow
the question.
Interested in research collaboration, a seminar invitation, interdisciplinary work or discussing an emerging idea?
Maya Sen
PhD Candidate · Computational Social Science
✉ maya@example.com
☎ +1 617 555 0108
◈ Boston, MA