I’m Andrew Vargo

With an eye towards enhancing communities via technology, Andrew Vargo studies the intersection between humanity and technology. He seeks to maximize productivity, and foster creative problem solving by helping to design communities that promote efficient and socially beneficial consumption and production of information. 

Andrew is always seeking new projects and collaborations. At Samcara, he supports team projects with his data science and analysis  expertise. He is experiences in both quantitative and qualitative data analysis techniques. 


Andrew has PhD in Social Informatics from the Graduate School of Informatics at Kyoto University and a MS in Information Economics from the University of Michigan. 

Research Grants


Data Science Courses

On-Going Projects

“The efficacy of any data analysis first depends on the quality of data collection.”

Current Projects

I focus on social behavior and choice-making in HCI contexts.

Human-Bot Interaction in Social Media

In this project, we are looking at how users interact with different types of bots on Twitter. We focus on the usefulness of known bots for supporting emotional well-being. 



Benjamin Tag (University of Melbourne)

Misaki Tanihata (Kwansei Gakuin University)

First Mover Advantage in Peer-Production Systems

This research focuses on systematic biases in peer-production systems. In particular we analyze how the power-law effect is reinforced by these systems. 


Benjamin Tag (University of Melbourne)

Cognitive-Load and Decision Making in Visual Novels

How do different game mechanics affect stress levels in users? This research is headed by KCGI Maseter student Tina Howard and is supervised by Andrew Vargo.


Tina Howard (KCGI)

Benjamin Tag (University of Melbourne)

Ondrej Dolezal (University of Hradec Králové)

Matthew Waldman (Keio University)

Highlighted REsearch Output

Journal Publications

Identity and Performance in Q&A

Andrew W. Vargo and Shigeo Matsubara

Behaviour and Information Technology, 2018

International Conferences (Full Papers)

Continuous Alertness Assessments: Using EOG Glasses to Unobtrusively Monitor Fatigue Levels In-The-Wild

Benjamin Tag, Andrew W. Vargo, Aman Gupta, George Chernyshov, Kai Kunze, and Tilman Dingler.

The ACM CHI Conference on Human Factors in Computing Systems, 2019

Different Languages, Different Questions: Language Versioning in Q&A

Andrew W. Vargo, Benjamin Tag, Kai Kunze, and Shigeo Matsubara

23rd UK Academy for Information Systems International Conference, 2018

Editing Unfit Questions in Q&A

Andrew W. Vargo and Shigeo Matsubara

7th International Conference on E-Service and Knowledge Management, 2016

Corrective or Critical? Commenting on Bad Questions in Q&A

Andrew W. Vargo and Shigeo Matsubara

iConference, 2016

Invited Talks

Inferring Fatigue Levels from EOG Sensing in the Wild.

School of Medicine, University of Nottingham, Glasgow, Great Britain.

March 13, 2019

Experts and Social Approval in Online Q&A.

Department of Intelligence Science and Technology, Kyoto University, Japan

November 8, 2016


Interdisciplinary Education for Design Innovation

Produced by Toru Ishida, Takushi Sogo, and Andrew Vargo

IEEE Computer, May 2017