Submission Topics

The 6th Big Data and Analytics EdCon (6th BDA EdCon) solicits papers and abstract presentations on the development and experience with educational programs in all areas of Analytics, Data Visualisation, Big Data, and Data Science. Educational programs can be undergraduate, postgraduate, in-employment or high school, and can focus on education and/or training. 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.
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