FASS Staff Profile

SUBHAYAN MUKERJEE, PH.D.
ASSISTANT PROFESSOR
DEPARTMENT OF COMMUNICATIONS AND NEW MEDIA

Appointment:
ASSISTANT PROFESSOR
Office:
AS6/03-19
Email:
mukerjee@nus.edu.sg
Tel:
Fax:
Homepage:
https://www.subhayan.com
Tabs

Brief Introduction

I am a computational social scientist with a Ph.D. in Communication from the Annenberg School for Communication at the University of Pennsylvania. Prior to my doctoral studies, I graduated with a Bachelor of Engineering in Computer Science, and a Master of Science in Mathematics from BITS Pilani, India, and spent a couple of years in the industry working in software and data analytics.

I situate my research at the intersection of digital media and online human behaviour, drawing from a wide repertoire of computational methods that blend observational as well as experimental approaches – such as network analysis, statistical inference, and agent-based simulations to understand how digital audiences navigate online media environments. In the past, I have also worked at the Berkman Klein Center for Internet & Society at Harvard University, and the Reuters Institute for the Study of Journalism at the University of Oxford. My research has appeared in social science and communication journals such as Journal of Communication, Political Communication, The International Journal of Press/Politics as well as interdisciplinary venues such as Social Networks and Nature Scientific Reports. My research has been featured in international media such as The Washington Post, LaPresse, Nieman Journalism Blog, The Indian Express and The Print. 

If you are a student who is interested in working with me on quantitative/computational research projects on topics such as digital media audiences, media effects, social media, or social networks, drop me an email at mukerjee [at] nus [dot] edu [dot] sg. 

At CNM, in addition to my research, I develop and teache quantitative and computational modules for undergraduates, masters students, and PhD students. I am also the lead organiser of the Singapore chapter of the Summer Institutes in Computational Social Science - the first such chapter in South East Asia.

In my spare time, I love to read, listen to podcasts, and watch English football.

Download my latest CV here.

 


Teaching Areas

I teach quantitative methods to undergraduate and graduate students, as well as develop and teach data communication courses for the MSocSci (Communication) program at NUS. Modules I have taught include

  • NM2103 - Quantitative Research Methods
  • NM6103 - Quantitative Research Methods in Communications and New Media
  • NMC5344 - Coding for Communicators
  • NMC5341 - Visualising Data
  • NM2101 - Theories of Communications and New Media

 


Graduate Supervision

Please drop me an email if

  • you are a prospective Ph.D. student interested in doing computational social science research on topics related to digital media, social media audiences, social networks drop me an email. Please note that you will need to submit a formal application to our Ph.D. program. 
     
  • you are a current Ph.D. student interested in working with me, or in having me on your committee.

Research Interests

My current research focuses on the following broad areas:

  1. The analysis of large scale behavioural data to understand collective dynamics of news consumption, as well as the relationship between audience engagement and news production.

  2. The development of computational approaches that are grounded in social science theories for better measuring audience behaviour

  3. The use of online experiments to understand the micro-dynamics of media consumption, as well as the psychological and behavioural effects of media exposure.

If you are a prospective Ph.D. student interested in working with me, please drop me an email. I am also open to collaborating with and mentoring students in computational social science research projects on topics including digital media, social media, online experiments, media effects, and social networks.

I am currently also open to supervising Honours Thesis students or Independent Study Modules in areas that align with my own.


Publications

CHAPTERS IN BOOKS

ARTICLES IN JOURNALS

PUBLISHED REPORTS

OTHERS

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