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Zicklin School of Business, Baruch College
The 2nd Annual Symposium on Data Analytics
October 12, 2018
Call for Extended Abstracts
From: Prof. Marios Koufaris, Chair, Paul H. Chook Department of Information Systems and Statistics
The Paul H. Chook Department of Information Systems and Statistics at the Zicklin School of Business of Baruch College will be hosting the 2nd Annual Symposium on Data Analytics on Friday, October 12, 2018 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 across CUNY. The inter-disciplinary symposium is open to the entire academic community of CUNY 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 CUNY faculty and doctoral students only. In addition to research presentations, it will include presentations of analytics use cases and a panel discussion featuring industry experts, as well as a poster session of data analytics projects by students.
If you would like to be considered for presenting your published or ongoing research project in data analytics, please submit an extended abstract (maximum length 2 pages, single-spaced, excluding references) by midnight, May 6.
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. 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, education, energy, finance, online community, social commerce, supply chain, etc.
· Data science: Theory and application
· Knowledge extraction and management
Works selected for presentation at the symposium will emphasize the diversity of research and pedagogical approaches and topics across all academic fields within CUNY (Business, Education, Political Science, Criminology, Digital Humanities, and others). Accepted extended abstracts will be shared (with permission from authors) with the workshop participants.