MIT Chief Data Officer and Information Quality Symposium Announces Special Student Discounts

Dr. Richard Wang, Director of the MIT Information Quality Program and Co-Founder of the UALR Information Quality Graduate Program, has announced special discounts for students registering for the MIT Chief Data Officer and Information Quality Symposium to be held on the MIT Campus in Cambridge, Massachusetts, July 17-20, 2012.  Conference registration for currently enrolled students at MIT, UALR, and Xi’an Jiaotong University (China), has been set at US$95 for the four-day event.  General registration is set at US$425 with 20% discounts for members of several sponsoring organizations including Acxiom Corporation with corporate headquarters in Little Rock.

This annual symposium was originally named the Industry Symposium on Information Quality (IQIS) when it began in 2007 as a complementary event to the primarily academic MIT International Conference on Information Quality (ICIQ).  Since 2011 the IQIS event was renamed the Chief Data Officer and Information Quality Symposium (CDOIQ) to reflect its emphasis on establishing information quality as an organizational function led at the enterprise level by the Chief Data Officer.

Dr. John Talburt, Coordinator for the UALR IQ Graduate Program, along with two recent graduates from the UALR program, Dr. Yinle Zhou and Dr. Eric Nelson, are scheduled to make a presentation “An Open Source Entity Resolution System Supporting MDM” in the 1:30 pm Wednesday session of the Symposium titled “Open Source Data Quality Management for the Public Sector” moderated by David Becker of MITRE Corporation.

Dr. John R. Talburt, Professor University of Arkansas at Little Rock

Dr. John R. Talburt is Professor of Information Science and Acxiom Chair of Information Quality at the University of Arkansas at Little Rock (UALR) where he is the Coordinator for the Information Quality Graduate Program and the Executive Director of the UALR Center for Advanced Research in Entity Resolution and Information Quality (ERIQ). Prior to his appointment at UALR he was the leader for research and development and product innovation at Acxiom Corporation, a global leader in information management and customer data integration. Professor Talburt is an inventor for several patents related to customer data integration and the author of numerous articles on information quality and entity resolution, and is the author of Entity Resolution and Information Quality (Morgan Kaufmann, 2011). He also holds the IAIDQ Information Quality Certified Professional (IQCP), the Certified Data Management Professional (CDMP), and is a certified Master Data Quality Manager for the ISO 8000-110:2009 Data Quality Standard.

Dr. Yinle Zhou, Research Associate, University of Arkansas at Little Rock

Yinle Zhou hold a PhD degree in Information Quality from the University of Arkansas at Little Rock (UALR). She earned her Bachelor of Business Administration majoring in Electronic Commerce at Nanjing University, China, in 2008 and completed her Master of Science in Information Quality at UALR in 2010. She has published several research papers in areas of information quality and entity resolution, is the winner of the Donaghey College of Engineering and Information Technology Outstanding Research Award in Information Quality for both 2011 and 2012, and holds the Information Quality Certified Professional (IQCP) certification. Her doctoral dissertation topic was “A Model for Entity Identity Information Management in Entity Resolution Systems”.

Dr. Eric Nelson, Consultant, Acxiom Corporation

Eric Nelson holds a PhD degree in Information Quality and MS degrees in Computer Science and in Information Quality. Dr. Nelson is a Consultant within Acxiom’s Global Consulting Group where he has worked for over seven years. Prior to coming at Acxiom he worked for seven years in various law-enforcement agencies. Dr. Nelson is skilled in software development designing and writing code to produce an end product for business value. He understands the decisive importance between a strong structural design and data architecture and how the two will produce a successful implementation. In addition, he is skilled in analyzing the measurements of data and in determining solutions to ensure that the data quality remains at an acceptable level. Dr. Nelson has extensive experience helping clients reach optimum business opportunities through the use of integrated database and software applications.

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