-------- Weitergeleitete Nachricht -------- Betreff: [AISWorld] CFP: Data Analytics Management, Governance and Compliance, HICSS-51 Datum: Thu, 6 Apr 2017 22:51:53 +0000 Von: Michael Goul Michael.Goul@asu.edu An: aisworld@lists.aisnet.org aisworld@lists.aisnet.org

First Call for Papers

Hawaii International Conference on System Sciences HICSS-51: January 3-6, 2018 | Hilton Waikoloa Village, Big Island

Deadline for submissions: June 15, 2017

Minitrack: Data Analytics Management, Governance and Compliance

Track: Organizational Systems and Technology

Data analytics have become strategic assets because they can help organizations make better decisions, discover insights, embed intelligence into decision processes to operate at the speed of business and provide inter-organizational partnerships with sharable, actionable information. With the growing importance and proliferation of data analytics, organizations need new theories, frameworks and methodologies that can help them to realize standards and best practices for managing data, developing and deploying models, managing analytics teams, structuring the analytics function within organizations, designing, charging and staffing governance committees, managing project and deployment risk and advancing analytics capability maturity. Managing model assets includes: 1) Designing processes to guarantee adherence to data and analytics governance policies and 2) Establishing model management capabilities that support regulatory compliance requirements.

Effective organizational management and governance of data analytic practices are necessary in order to mitigate risks associated with analytics deployment. Organizations need to capture and manage critical meta-information detailing modeling and environmental assumptions underlying analytics solutions, and they need to establish policies and a culture designed to ensure adherence to the highest ethical standards of data management and predictive model deployment.

This mini track welcomes submissions of original work addressing challenges, theoretical lenses, frameworks, development, evaluation, and impact of data analytics management, governance, and compliance. We also encourage submissions of research-in-progress as well as those that are practically oriented yet have the potential to make significant contributions to the data analytics research community.

Relevant topics for the minitrack include, but are not limited to, the following:

Innovative data and analytics governance approaches Data asset management Analytics workflow management Analytic model life-cycle management Model management platform design Model compliance management Model documentation Ethics of data analytics Analytics regulatory risks and risk mitigation Data and model transparency Business value of analytics governance Platform economics and strategy Big data analytics Analytics documentation and metadata design Legal implications of analytics governance policies Managing and deploying champion and challenger models Campaign documentation and model reuse Data and model ownership and contracts

Minitrack Co-Chairs:

Michael Goul (Primary Contact)? Arizona State University? Michael.Goul@asu.edu

Zhongju Zhang Arizona State University Zhongju.Zhang@asu.edu

Deadlines

May 15: OPTIONAL: Abstracts submitted to Minitrack Chairs for guidance, indication of appropriate content and to receive instructions on submitting full paper.

June 15: Submit full manuscripts for review.

August 17: Acceptance notices are emailed to authors by the Review System. At least one author of each accepted paper must immediately make plans to attend the conference, including initiating fiscal, visa, or other travel guarantees.

September 22: Accepted authors submit Final Paper.

October 1: Early Registration fee deadline. At least one author of each paper should register by Sept 15 in order secure publication in the Conference Proceedings.

Michael Goul . Associate Dean for Faculty and Research W. P. Carey School of Business Arizona State University . . . . . . . . . . . . . . . . . . . . . . . . . . p. 480 .727.6031 e. Michael.Goul@asu.eduapplewebdata://47D0F2F7-2A9A-4295-855F-C8C2C13E09EB/Michael.Goul@asu.edu o. BAC 600

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