Vivek Singh and students

Ph.D. Social Computing

Social Computing

Description

Social Computing refers to the design, development, deployment, validation, and refinement of various technologies as they aid and in turn impact human processes on individual, community, and societal scales. With information forming the key underlying substrate, this field lies at the intersection of the multi-disciplinary discourse coming from both computational and social sciences, and benefits from each field. 

Multiple LIS faculty members undertake research in related areas, including, but not limited to:

  • Computational Social Science
  • Computer Supported Collaborative Work
  • Collaborative Gaming, Health, and Education
  • Data Science for Social Good
  • Social Network Analysis
  • Social Media

Projects:

Bridging digital divide via social computing activities, funded by the Institute of Museum and Library Services

Cyberbullying detection using social network analysis, funded by the National Science Foundation

Exploring barriers to the adoption of mobile technologies for volunteer data collection campaigns, presented at the 2015 SIGHCHI Conference on Human Factors in Computing Systems

Leveraging social media to promote public health: Example of cancer awareness via Twitter

Rutgers well-being project: Studying the connections between wellbeing and socio-mobility, found at http://wp.comminfo.rutgers.edu/wellbeingstudy/

SuperConnected: The Internet, digital media, and techno-social life 

Recent Dissertation:

Gendered literacy through social media: A study of the kidlitosphere blogs, by Emily M. Seitz.

Affiliated Faculty:

Mary Chayko, Kaitlin Costello, Marija Delbello, Sunyoung Kim, Marie Radford, Rebecca Reynolds, Charles Senteio, Chirag Shah, Vivek Singh, Joyce Valenza