[Colloquium] Aditya Parmeswaran from Stanford University will visit on 2/15/13 and give a talk on "Human-Powered Data Management" at 2:30 pm in Ryerson 251

[Natalie Cruz]

The University of Chicago Computer Science Department

 

PRESENTS:

 

“ Human-Powered Data Management ”

 

 

Aditya Parmeswaran

Ph.D. Candidate in Computer Science

  Stanford University

 

Abstract:

 

Fully automated algorithms are inadequate for a number of data analysis tasks, especially those involving images, video, or text. Thus, there is a need to combine “human computation” (or crowdsourcing), together with traditional computation, in order to improve the process of understanding and analyzing data. My thesis addresses several topics in the general area of human-powered data management. I design algorithms and systems for combining human and traditional computation for: (a) data processing, e.g., using humans to help sort, cluster, or clean data; (b) data extraction, e.g., having humans help create structured data from information in unstructured web pages; and (c) data gathering, i.e., asking humans to provide data that they know about or can locate, but that would be difficult to gather automatically. My focus in all of these areas is to find solutions that expend as few resources as possible (e.g., time waiting, human effort, or money spent), while still providing high quality results.

In this talk, I will first present a broad perspective of our research on human-powered data management, and I will describe some systems and applications that have motivated our research. I will then present details of one of the problems we have addressed: filtering large data sets with the aid of humans. Finally I will argue that human-powered data management is an area in its infancy, by describing a number of open problems I intend to address in my future research program.



Bio:

	Aditya Parameswaran is a Ph.D. student in the InfoLab at Stanford University, advised by Prof. Hector Garcia-Molina. He is broadly interested in data management, with research results in human computation, information extraction, and recommendation systems. Aditya is a recipient of the Key Scientific Challenges Award from Yahoo! Research (2010), two best-of-conference citations (VLDB 2010 and KDD 2012), and the Terry Groswith graduate fellowship at Stanford University.

 

Friday, February 15, 2013

2:30 PM

Ryerson 251

Host: Hank Hoffmann

 

People in need of assistance should call Natalie Cruz (773) 834-8977 in advance.

For additional information on future CS talks please visit: http://www.cs.uchicago.edu/events
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