-------- Forwarded Message -------- Subject: [AISWorld] CfP: Data Analytics and Artificial Intelligence Track, PACIS 2019 Date: Wed, 5 Sep 2018 11:16:48 +0900 From: Hong Joo Lee hongjoo@catholic.ac.kr To: aisworld@lists.aisnet.org

CfP: Data Analytics and Artificial Intelligence Track, PACIS 2019, July 10-12,

Xi'an China

Data analytics and techniques of artificial intelligence have applied to diverse business or decision problems to extract business insights from data in a variety of forms. They create value for businesses, organizations and individuals by helping them make better and smarter decisions. Many consumer products with smart features such as voice recognition and environmental control have been introduced and penetrated human life gradually. In addition, business applications of data analytics and techniques of artificial intelligence such as automated chatbots and robo-advisors come into existence in diverse industries. The usage of these smart products and data analytics driven products left digital footprint in various forms and we have an opportunity to understand changes of human behaviour due to introduction of the techniques and feedback to the methods and techniques for perfecting their model. We need to understand how to represent, model, evaluate, and optimize data for creating and sustaining value.

For this track, we invite paper submissions that investigate business applications and impacts of A.I techniques, and propose novel data analytics methods or applications. We welcome papers that address important business or decision problems with novel data analytics methods in a wide range of contexts, including marketing, healthcare, social network and media, financial services.

## Potential topics include (but are not limited to) the following:

- Data and text mining for business analytics

- Business applications of A.I techniques

- Influences of A.I on human behavior

- Healthcare analytics

- Web mining and social network analysis

- Computational social science

- Text analysis for consumer research

- Network analysis for open source software development

- Best practices in data analytics

- Methodologies and processes for data analytics and A.I techniques

## Submission

All papers must be submitted electronically using the conferences online submission system at http://easychair.org/cfp/PACIS2019.

Submitted papers should not have been submitted for review, accepted for publication, or already published elsewhere. The official language of the conference is English. PACIS 2019 accepts both regular (complete) research manuscripts and research-in-progress manuscripts. Please refer http://pacis2019.org/paper.html for more information on paper submission.

## Important Dates: - Paper submission deadline: 18 February 2019 - Paper acceptance notifications: 15 April 2019 - Camera-ready due: 29 April 2019 - Conference: 10-12 July 2019

## A list of AEs

Jaewon Choi, SoonChunHyang University

Youngseok Choi, Brunel University London

Jinghua Huang, Tsinghua University

Jongwoo Kim, Hanyang University

Ohbyung Kwon, Kyunghee University

Sang-Yong Tom Lee, Hanyang University

Hongyan Liu, Tsinghua University

Hyungjong Na, SungKyunKwan University

Hyelim Oh, National University of Singapore

Hyunjung Park, Ewha Womans University

Sankar Sivarajah, University of Bradford

## Track Co-chairs:

Hong Joo Lee, hongjoo@catholic.ac.kr, Catholic University of Korea

Habin Lee, habin.lee@brunel.ac.uk, Brunel University London _______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org