I'm Dan Muise, a Ph.D. Candidate at Stanford's Communication Department. I'm also a Massachusetts native, amateur musician, former radio host, narrator-for-hire, proud uncle, English tutor, travel enthusiast, and various other identifiers. My current research is listed below. I'm responsive to emails, and always happy to talk.
I study how smartphones change our encounters with -- and reactions to -- political information. This broadly includes news consumption, with an emphasis on political development, and trust in public goods. I've had a contextual focus on Myanmar, where I've worked as a radio host, teacher, and researcher, as well as the Southeast Asian region broadly. I currently work with large-scale passively-collected communication data -- screenshots and Facebook activity -- and I am running two online field experiments in 2018.
Muise, Daniel and Pan, Jennifer. 2018. "Online Field Experiments." Asian Journal of Communication 1-18. (DOI)
Kingsley, David and Daniel Muise. 2017. "More Talk, Less Need for Monitoring."The Journal of Experimental Political Science 1-19. (DOI)
Muise, Daniel and Kobbi Nissim. 2016. "Differential Privacy in Descriptive Statistics: a Guidebook for Social Scientists." Privacy Tools for Sharing Research Data Project. (online access)
Lu, Y., Muise D., Pan, J., Reeves, B. (2018, May). Micro-Level Natural Interaction with Information Systems: An International Screenshot Ethnography. International Communication Association's 68th Annual Conference , Prague, Czech Republic.
Muise, Daniel, Byron Reeves and Jennifer Pan. 2017. ``What is News?'' Realigning the News Definition with Millions of Consumer Screenshots.â€ Computation + Journalism Symposium. Northwestern University.. 2017. (online access)
Muise, Daniel. 2016. ``Information Communication Technology in Myanmar under the Theory of Innovative Enterprise'' Student Southeast Asian Studies Conference. Northern Illinois University.. 2016. (online access, latest version)
Muise, Daniel, Kobbi Nissim, Mark Bun, Victor Balcer. 2015. ``Differentially Private Cumulative Distribution Function Evaluation and Development.'' NSF Site Visit to the `Privacy Tools for Sharing Research Data' Project. John A. Paulson School of Engineering and Applied Science, Harvard University.. 2015.
Muise, Daniel, Kobbi Nissim, Georgios Kellaris. 2016. CDF.PSIdekick: Public R Package for Evaluating, Visualizing and Comparing Algorithms for Creating Differentially Private Cumulative Distribution Functions and Probability Densities. Available on CRAN repositories. . 2015. (CRAN)
I'm a member of the Screenomics Lab at Stanford, where we use millions of passively-collected screenshots to analyze content consumption and media behavior. I have three roles in this lab:
I grew up in lovely Haverhill, Massachusetts
In 2012, I was accepted to the University of Massachusetts-Lowell on a full scholarship, earning two degrees in Political Science and Economics.
I was lucky to be part of many projects in college, such as the Honors Ambassador Council , with whom I hosted TEDx Lowell. Throughout college, I received multiple research grants to work as an assistant to professors in the Political Science Departments and Economics Departments.
In 2014, I traveled to Myanmar for the first of several times, played ukulele live on air at Mandalay FM, and have been studying the country since.
Starting in 2015, I was a research assistant at Harvard University's John A. Paulson School of Engineering and Applied Science. There, I designed empirical tests for privacy algorithms. Gary King, a notable methodologist in our field, was a PI on the project.
Now, I'm a PhD student at Stanford, and will be one until 2021. I'm always interested in collaborations or interesting ideas.
I also travel; it's important.
Lastly, I'd be remiss to not thank all the people who've helped me get where I am. This list is by no means exhaustive.