Computational Social Science of Emerging Realities Group

NEW! Jump to postdoc opportunities.

About

The Computational Social Science of Emerging Realities Group (CSSERG, pronounced "sea surge") is the lab of Dr. Jason Jeffrey Jones at Stony Brook University.

We use the methods of computational social science to study human behavior at scale.

Mission

CSSERG is a group of scholars committed to cross-disciplinary collaboration, united by common computational methodologies and always with our eyes on the near future.

Expertise

  • Online experiments and surveys
  • Social networks, influence and contagion
  • High-throughput automated text analysis
  • Artificial intelligence, machine learning and society

Apply

If the above sounds interesting, and you are considering a graduate degree, please apply.

Apply for Graduate Admissions at Stony Brook.

IMPORTANT: When applying, include an application for the Institute for Advanced Computational Science Graduate Fellowship.

Postdoc Opportunities

Interested in a posdoctoral fellowship in computational social science? Review these criteria and instructions:

  • There are two viable research areas. Choose one:
    • Ipseology. Ipseology is the study of human identity using large datasets and computational methods. A postdoctoral fellow will develop a new method, a new data resource and at least one applied project using existing data and methods. The fellow will publish first-authored, peer-reviewed, open-access research articles to share these with the community.
    • Nowcasting Public Perception of Artificial Intelligence. With this project, a postdoctoral fellow will determine how attitudes and beliefs regarding AI are distributed in the population. The fellow will develop and deploy innovative measurement such that perception of AI is monitored in real-time.
  • Prospective fellows must demonstrate productive experience conducting computational social science.
    • A fellow must have written and published peer-reviewed research.
    • A fellow must demonstrate proficiency in Python and R.

Dr. Jones will work with one student each fall semester to apply for fellowship funding through the following opportunities. Send your CV to Dr. Jason Jeffrey Jones if interested.