Yun Huang is an assistant professor at the iSchool in Syracuse University. She co-directs the SALT lab, focusing on social computing systems research. Before joining iSchool, she was a Postdoctoral Fellow of the Robotics Institute at Carnegie Mellon University. Yun Huang received both her master's degree and doctorate from the
Donald Bren School of Information and Computer Sciences (ICS) at
UC Irvine . She earned her bachelor's degree from the Department of Computer Science and Technology at Tsinghua University, Beijing, China.
Her research is sponsored by Google, National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR), National Science Foundation and Institute of Museum and Library Services.
Prof. Huang’s research examines new context-driven ways of designing mobile social crowdsourcing systems. She approaches this issue using the following research methods: running empirical studies, such as surveys or interviews informed by social psychological theories, with the intent to understand what factors affect crowdsourcing systems and how they impact different stakeholders to use and to contribute to crowdsourcing systems (especially mobile crowdsourcing systems); designing, developing and releasing crowdsourcing systems that enable people’s ubiquitous accessibility to various services, ideas and information; designing and running controlled experiments, conducting field trials or analyzing system logs to understand people’s uses of her crowdsourcing systems. In a nutshell, her research involves both deductive and inductive reasoning processes, and she uses the triangulation approach to analyze people’s behavior both qualitatively and quantitatively.
To date, she has been working on and has released 5 different systems that tap into the fields of public transit service (Tiramisu), public safety (SU DPS), community emotions (Emotion Map), community as library collection (Human Library) and web accessibility (CAN). These systems are driven by emerging needs and trending issues. For example, how to utilize open government data or service data from public service providers, such as transit service data or open crime data, or how to enable transitioning of library service from collection-driven approach to be community-driven focus. Building her own systems, she has the opportunity to experience real-world challenges, e.g. balancing the needs of different stakeholders, and gains hands-on experiences of designing a system from scratch and releasing it to the public. Having full control of the systems, she is able to examine different context and running randomized field experiments to assess the casual relationship between different design approaches and user behaviors.
Specific areas of her interest include Crowdsourcing Systems, Human Computer Interaction, Mobile Applications and Systems, Social Media and Social Networking, Inclusive Web and Cloud Computing.
226 Hinds Hall,
School of Information Studies,
Office Phone: (315)443-5299
Email: yhuang AT syr.edu