Future of Crowd Work - More Information

In response to popular interest I'm including some more information about our paper The Future of Crowd Work which will be upcoming at the CSCW conference.

- You can download the paper itself here.
- There's a short blog post summarizing the paper here, please share any comments or suggestions you might have with us there!
- A press release with a press-friendly summary of the paper can be found here.

Welcome to my web site. I am an assistant professor in HCI at Carnegie Mellon. My research in collaborative cognition aims at combining the unique strengths of human cognition, social collaboration, and technology to help produce and make sense of knowledge.

The exponentially growing amount of information in the world provides an unparalleled opportunity to accelerate science, improve education, and increase technological innovation. However, we are fundamentally limited in making sense of it by our cognitive capacity. Continued progress is critically dependent on improving how quickly and deeply people can understand information and produce knowledge.

My research addresses three crucial problems in this area:

  • Harnessing the fundamental cognitive processes underlying knowledge production

  • Developing techniques for online groups to surpass the limits of individual knowledge production

  • Building computational tools to augment individual and group knowledge production

For example, I am investigating how large social collaborative systems such as Wikipedia and crowdsourcing markets like Amazon's Mechanical Turk function and can be made more effective. I am also a collaborator on the Cognitive Atlas project, whose goal is to build a knowledge base of mental processes, tasks, and brain systems using principles of distributed cognition. I am also involved in developing interfaces which improve the efficiency of storing and retrieving information in large knowledge spaces by combining machine learning, visualization, and interaction methods.