GENERAL INFORMATION

Dates: MAY 28-29, 2018 (Monday - Tuesday; 9am-5pm each day)

Venue: Concordia International School Shanghai, Shanghai, China (http://www.concordiashanghai.org)

Registration Options: Register via this website and pay via credit card in USD OR register via the conference registration webpage (https://www.bigdatak12.org/register/) and pay via wire transfer in USD or CNY.

Registration Fee: 200USD or 1,300CNY; includes attendance and refreshments & lunch each day. Payment must be received to secure registration. For student registration, please visit the student verion of the conference website at https://www.eventbrite.hk/e/6th-big-data-and-analytics-student-edcon-registration-45670690264

Early Bird Discount: After clicking the "Register" button on this page, click the "Enter Promotional Code" link and type EarlyBird (one word, no spaces) to reduce the cost to 170USD. Valid through April 1, 2018. If registering via wire transfer funds must be received by April 1 at the latest to receive the early bird discount.

Accommodation: Several options are available. See the conference accommodation webpage (https://www.bigdatak12.org/accommodation/) for information.

Conference Website: http://www.bigdatak12.org

Visa: All travelers using a non-PRC passport must have a valid visa to enter China. Upon request, the Conference will provide a Notification of Invitation Letter that you might be required to submit with your visitor visa application.

• The invitation letter will be issued after you register successfully.
• The name you provide during registration must be exactly as it appears on your passport. Any differences between the name on your passport and the name on your invitation letter or other documentation could lead to a delay and/or denial of your visa application.
• Please note the Big Data and Analytics EdCon and the conference organizing committee are not authorized to assist with the visa process beyond providing a Notification of Invitation Letter.
• Plan for the visa application process (from submission of application materials to a China government office until you receive your visa) to take at least one month. Please apply as early as possible.

IMPORTANT DATES

Abstract/Paper Submission (Extended Deadline): 9th April 2018

Author Notification: 14th April 2018

ABSTRACT/PAPER SUBMISSION INFORMATION

The 6th Big Data and Analytics EdCon (6th BDA EdCon) solicits abstracts (200-500 words) and papers (between 2000-7000 words) on the development and experience with educational programs in all areas of Analytics, Data Visualisation, Big Data, and Data Science. At the conference, 20-40 minutes of presentation time will be allocated for all accepted abstracts and papers. Educational programs can be undergraduate, postgraduate, in-employment or high school, and can focus on education and/or training.

Paper format: http://www.igi-global.com/journals/guidelines-for-submission.aspx

Abstracts and papers should be submitted to: https://easychair.org/conferences/?conf=wagc2018

Topics of interest include but are not limited to:

• BDA curriculum design, development and delivery;

• Experience with teaching introductory big data, analytics and cognitive science concepts at K-12 and university;

• Experience with developing degree and certificate programs in BDA. (What are the required knowledge and skills? What strategies are used for defining and developing new programs?);

• Lessons learned creating programs for cognitive science, BDA or teaching BDA at all levels;

• What challenges are being faced in building advanced courses around decision analytics, modeling, algorithms, machine learning, cognitive science and visual analytics? What other advanced topics need curriculum development?

• How can all students be trained in appropriate ethics for handling data and resulting analytics?

• How can all students be introduced to the fundamentals of analytics and to what extent is it necessary to meet the needs for very high numbers of analytics literate employees as customers of data scientists?

• How should using data as a business strategy and source of innovation be addressed?

• How is the need to train data policy professionals such as data curators and stewards, data security and privacy professionals, data quality, master data management for example being addressed?

• How should information systems, computer science, industrial engineering programs adapt to the world of big data analytics?

• How are cognitive science, big data and analytics impacting the professional fields, such as accountancy, law, medicine, medicine, education, etc? How should it be addressed within curricula?

• Novel approaches to teaching and assessing big data, cognitive science and analytics concepts;

• Empirical evaluations of big data and/or analytics skills, training, education or needs analysis;

• Inspiring, teaching and developing the “soft skills” of analytics (problem solving, creativity, communication, collaboration, story-telling, curiosity)

• The need for and delivery strategies of ongoing professional development;

• How can the curricula for ongoing professional development training programs be matched to the role/skills needs?

• Experience with teaching Big Data and Analytics in the Junior and High school system;

• The use of specific software for teaching BDA and cognitive science;

• How to address ‘train the trainer’ skill gaps at all levels?

• Ethics, Trust and Governance in Data and Analytics, etc.

CONFERENCE CHAIRS

Peter Tong, Concordia International School Shanghai

William Yeoh, Deakin University

Richard Self, University of Derby

Murthy V. Rallapalli, IBM & Georgia State University

Tristan Chong, Xi’an Jiaotong-Liverpool University

PROGRAM COMMITTEE

AAA Atayero, Covenant University
Aleš Popovič, University of Ljubljana
Ayse Bener, Ryerson University
Bernard Long, IBM Corporation
Bharatendra Rai, University of Massachusetts Dartmouth
Craig Gingerich, Concordia International School Shanghai
Don McCubbrey, University of Denver
Elena Gortcheva, University of Maryland University College
Greg Richards, University of Ottawa
Jie Ren, Fordham University
Jorge Medina, EGADE Business School
Kok-Leong Ong, La Trobe University
Laura Trouvais, IBMCorporation
Michael Ben-Avie, Southern Connecticut State University
Michael Bliemel, Dalhousie University
Michael Gendron, Central Connecticut State University
Michael Lambert, Concordia International School Shanghai
Omar Hussain, Australian Defence Force Academy
Randy Messina, IBM Corporation
Shah Miah, Victoria University
Steven Guan, Xi’an Jiaotong-Liverpool University
Suzanne Lema, IBM Corporation
Tom Reed, Concordia International School Shanghai
Yee Ling Boo, RMIT University