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Thursday, March 21, 2019

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The Paul H. Chook Department of Information Systems and Statistics

Zicklin School of Business, Baruch College

Presents

The 3^rd Annual Symposium on Data Analytics

October 25, 2019

Call for Extended Abstracts

The Paul H. Chook Department of Information Systems and Statistics at the Zicklin School of Business of Baruch College is inviting extended abstract submissions for the 3^rd Annual Symposium on Data Analytics on Friday, October 25, 2019 at Baruch College.

Whether you are conducting research in or teaching data analytics and related topics, or are simply interested in the area, we hope that you will participate in this symposium. It will be an exciting opportunity to meet with colleagues, hear about exciting new research, or pedagogy, and to share best practices in data analytics-related work. The inter-disciplinary symposium is open to the academic community of CUNY, NYU, Columbia University, and Fordham University, with the purpose of bringing together those interested in the area of data analytics.

This one-day event will be free to attend and will be open to faculty and doctoral students only. In addition to research presentations, it will include a keynote speech by Claudia Perlich from Two Sigma and a panel discussion featuring industry experts in data analytics.

For a look at last year’s symposium, please go to https://blogs.baruch.cuny.edu/basymposium/

If you would like to be considered for presenting your research project (ongoing or already published) in data analytics, please submit an extended abstract (maximum length 2 pages, single-spaced, excluding references) by midnight, June 3.

To submit your work please go to https://goo.gl/1JdVZQ

All research related to data analytics is welcome: methods, theories, or applications at both the individual and organizational levels. Projects that have been published and projects that are in the development phase are all welcome. Possible topics include, but are not limited to:

·      Novel predictive modeling, social network analysis, performance measurement, and analytics methods.

·      Analytics in healthcare: chronic disease management, detection, and prevention, digital health, etc.

·      Data analytics in forensics

·      Privacy and ethical considerations in the use of data analytics and algorithmic decision-making

·      Analytics in cybersecurity

·      Data/information quality and analytics

·      Mobile analytics

·      Recommendation systems and social media systems

·      Analytics for industrial applications: e-commerce, blockchain, education, energy, finance, online community, social commerce, supply chain, etc.

·      Data science: Theory and application

·      Knowledge extraction and management

·      Data visualization: Theory and practice

Works selected for presentation at the symposium will emphasize the diversity of research and pedagogical approaches and topics across a variety of academic fields. Accepted extended abstracts will be shared (with permission from authors) with the workshop participants.

Questions? Please contact Prof. Qiang Gao (qiang.gao@baruch.cuny.edu), Prof. Yuanfeng Cai (yuanfeng.cai@baruch.cuny.edu), Prof. Zeda Li (zeda.li@baruch.cuny.edu). or Prof. Kamiar Rahnama Rad (kamiar.rad@baruch.cuny.edu) ​

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