Behavioral Economists, Human-Computer Interactions and Research Transparency (2017). [Working Paper]
I study economists as being themselves behavioral, and not fully rational in how they implement their research. I characterize research results as a network graph of data analyses at the level of human-computer interactions that contain graph copies whenever the economist manifests behavioral shortcomings. Ethical and transparent research emerges as a unique graph. I allow researchers to hold themselves accountable with commitment devices that eliminate behavioral copies of research graphs. In so doing, I introduce a solution to the problem of the so-called garden of forking paths. Applications are based in economic theory and qualitative research for program evaluation design. Transparency may scale if researchers become more aware of software commitment devices that enable creativity via preanalysis plans, open data, dynamic documents and time-stamped analyses. Human-computer interaction has a fundamental role to play in research transparency.
Human-Computer Interactions with Behavioral Science (2017). invited by Behavioral Scientist. [under review]
Information science meets behavioral science for next-generation research.