I do computational social science at Stanford. My overall interest is the Internet's impact on ideological fracturing around the world. I'm responsive to emails, interested in collaborating, and always happy to talk.
My current work utilizes the Screenomics approach: analyzing hyper-rich behavioral data collected from the smartphone. Previously, I have conducted behavioral lab experiments, surveys, fieldwork, and optimization for data science applications. Currently, I am running a national online field experiment in the US; I'll be at Microsoft Research in Summer 2019.
Reeves [… Muise…] et al. (2019). Screenomics: A Framework to Capture and Analyze Personal Life Experiences and the Ways that Technology Shapes Them. Human Computer Interaction. 1-52.
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." 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.
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 archive. . 2015. (CRAN)
I'm co-manager of the Screenomics Lab at Stanford, where we use millions of passively-collected screenshots to analyze content consumption and media behavior. I have three ongoing projects within 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.
I also travel: