[AISWorld] MIT ICIQ 2017 Call for Papers

[Ningning Wu]

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Please accept our apologies if you receive multiple copies of this CFP
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MIT ICIQ 2017
OCTOBER 6 - 7, 2017
http://www.iciq.us/2017/index.html

The MIT International Conference on Information Quality (ICIQ) held
annually since 1995 is the premier conference in the field of information
and data quality. ICIQ attracts researchers and practitioners from around
the globe. In 2017 the conference will be held on the campus of the
University of Arkansas at Little Rock (UALR) on October 6-7, 2017. UALR is
the only university in the United States to offer masters and doctoral
degrees in information quality. The UALR Information Quality Graduate
Program resides in the Donaghey College of Engineering and Information
Technology, which also houses the UALR Institute for Chief Data Officers.

The discipline of Information and Data Quality continues to mature as
organizations recognize information to be among their most important
assets. This is reflected in the growing adoption of governance programs as
a way to assure that information is managed as an asset.

However, an information quality and governance program will not by itself
guarantee success. It requires leadership and ownership by business at the
executive level. In many data-driven enterprises, this leadership, vision,
and strategy reside with the Chief Data Officer (CDO).

For these reasons, the theme of ICIQ 2017 is “Focus on Value and Strategy”
Value and strategy from data provisioning, data cleansing, data
transformation, and data integration to building an effective data
governance program, and investing in IQ education and training, change
management, DQ metrics, and information privacy and security. The
conference program will feature tracks of research papers,
practice-oriented papers, and panel sessions.

IMPORTANT DATES
May 15, 2017: Submission Deadline
July 14, 2017: Notification of acceptance
August 14, 2017: Camera-ready copy due
October 6, 2017: MIT ICIQ Conference

TOPICS OF INTEREST
Corporate and Orginizational Strategies for IQ
The role of the Chief Data Officer (CDO)
IQ Management and Data Governance
Alignment of IQ with Business Strategies
Business Process Performance
IQ Assessment, Policies, and Standards
Cost/Benefit Analysis of IQ
Methods, Concepts, and Tools for
IQ Concepts, Metrics, Measures, and Models
Method Engineering for IQ
Trust, Knowledge, and Society
Data Provenance and Annotation
Information Product Theory and Practice
Metadata and IQ
IQ Education and Training
Technologies for IQ Improvement and Assurance
Data Scrubbing and Cleansing
Record Linkage and Entity Resolution
Unstructured and Extracted Data
Probabilistic, Fuzzy, and Uncertain Data
Sensor Networks and Information Fusion
Privacy & Security Issues
IQ Cases and Applications Involving
Social Media Data and e-Business
Data Warehousing and Business Intelligence
Master Data Management
Healthcare, Scientific, or Biometric Data
Community Input, Crowd Sourcing
Other Case Studies or Experience Reports

CONFERENCE CO-CHAIRS
Dr. Richard Wang, Massachusetts Institute of Technology, rwang at mit.edu
Dr. John R. Talburt, University of Arkansas at Little Rock,
jrtalburt at ualr.edu

PROGRAM CO-CHAIRS
Dr. Ningning Wu, University of Arkansas at Little Rock, nxwu at ualr.edu
Dr. Fumiko Kobayashi, Black Oak Analytics, fkobayashi at blackoakgroup.com