Announcement: Early Bird Conference Registration Open
Last Call: Industry Track Call Ends June 16th
This year the MIT ICIQ Conference will include a special track for industry presentations managed by IQ International. For more information visit the IQ International Website.
Agenda
View or download MIT ICIQ 2017 Agenda Version 3 here. Last updated 6-6-2017.
Registration
Early bird registration now open. Register by following this link.
Submission Guidelines (Closed)
The deadline for submissions is now closed. Submission Guidelines and Final Formate Template are available for reference.
Call for Proposals
Last updated March 27, 2017
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.
MIT ICIQ-2017 IMPORTANT DATES
May 31, 2017: Submission Deadline (Extended)
July 14, 2017: Notification of acceptance
August 14, 2017: Camera-ready copy due
October 6-7, 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
Committees
MIT ICIQ-2017 Conference Co-Chairs
Dr. Richard Wang, Massachusetts Institute of Technology, rwang@mit.edu
Dr. John R. Talburt, University of Arkansas at Little Rock, jrtalburt@ualr.edu
Program Co-Chairs
Dr. Ningning Wu, University of Arkansas at Little Rock, nxwu@ualr.edu
Dr. Fumiko Kobayashi, Black Oak Analytics, fkobayashi@blackoakgroup.com
MIT ICIQ-2017 Program Committee
Ahmed Abu Halimeh, American University of the Middle East AUM
Jacky Akoka, National Conservatory of Arts and Crafts, France
Cesar Arturo Guerra Garcia, Universidad Politécnica San Luis Potosí, Mexico
Irit Askira Gelman, Univeristy of Arizona
David Becker, Systems Analysis and Consulting
Laure Berti-Equille, Institut de Recherche pour le Development, France
Brian Blake, University of Arkansas at Little Rock
Alexander Borek, Volkswagen Group, Germany
Mathias Brochhausen, University of Arkansas for Medical Sciences
Cinzia Cappiello, Politécnico di Milano, Italy
InduShobha Chengalur-Smith, SUNY at Albany
Bruce Davidson, Healthcare Consulting
María Espona, Asociación Argentina de Calidad de Información
Christopher Heien, AIG
Greg Holland, Arkansas Research Center
Cao Jianjun, Nanjing Telecommunication Technology Institute, China
Sunho Kim, Myongji University, Korea
Timothy King, Babcock Analytic Solutions, United Kingdom
Hiroshi Koga, Tokyo Dental College, Kansai University, Japan
Andy Koronios, University of South Australia
Melody Penning, University of Arkansas for Medical Science
Barbara Perinici, Politécnico di Milano, Italy
Elisabeth Pierce, University of Arkansas at Little Rock
Mark Ramsey, GlaxoSmithKline
Tom Redman, Navesink Consulting Group
Shazia Sadiq, The University of Queensland, Australia
Valerie Sessions, Charleston Southern University
Ganesan Shankaranarayanan, Babson College
Anne Marie Smith, EWSolutions, Inc.
Qin Su, Xi’an Jiaotong University, Xi’an, China
Arun Sundararaman, Accenture, India
Giri Kumar Tayi, State University of New York at Albany
Kim Tran, University of Arkansas at Little Rock
Mihail E. Tudoreanu, University of Arkansas at Little Rock
Cihan Varol, Sam Houston State University
Therese, Williams, University of Arkansas at Little Rock
Philip Woodall, Cambridge University, United Kingdom
C. Lwanga Yonke, Aera Energy LLC
Yinle Zhou, IBM
Hongwei Zhu, University of Massachusetts Lowell
Meredith Zozus, University of Arkansas for Medical Sciences