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WAGC2018 Call for Participation now

The 2018 Watson Analytics Global Competition (WAGC2018) –  Call for Participation now

Please see detail:  WAGC2018 Call for Registration now (hover mouse over here and click the link for the PDF file)

 

The 2018 Watson Analytics Global Competition

Call for Registration

Objectives

 

The Watson Analytics Global Competition (WAGC) is a worldwide inter-varsities competition aimed at generating innovative analytics solutions from students using IBM Watson Analytics.

 

Teams
  • Teams of 3 students at undergraduate or graduate level and an academic supervisor.
  • Note: Each team must have an academic supervisor.

 

Topic

 

The topic will be on environmental issues. Your main task is to apply Watson Analytics and develop innovative analytics solutions with regards to environment, e.g. climate change, energy consumption, carbon footprint-GDP correlation, greenhouse gas emission, air quality-health impact dashboard, etc. Besides the suggested datasets/sources, you may apply any other real-world dataset to illustrate your approach (the different datasets/sources can be combined).

 

Some possible datasets/sources:

http://data.un.org/Explorer.aspx

http://data.worldbank.org/topic/environment

https://data.oecd.org/

http://geodata.grid.unep.ch/

http://open-data.europa.eu/en/data/publisher/eea

https://www.data.gov/

 

For more details on Watson Analytics (and sign up a free trial account):

https://www.ibm.com/watson-analytics

 

Watson Analytics Tutorials:

https://cognitiveclass.ai/courses/introduction-watson-analytics/

 

Want to learn more? You can:

 

Watson Analytics – More useful links:

http://waglobalacademicsnetwork.org/

 

Note: Watson Analytics is a user-friendly tool and normally students can master the tool within days by working through the tutorials.

 

Sample videos from past year participants:

https://www.youtube.com/watch?v=goHCWiiYKug

https://www.youtube.com/watch?v=lNyjaDJC_7g&feature=youtu.be

https://www.youtube.com/watch?v=V8gXhS0FEaY&feature=youtu.be

 

 

Prizes

 

Top 10 finalist teams: A finalist certificate for each team member and supervisor.

 

Grand final venue for the top three finalist teams (so as to decide the Top 1, 2, 3 spot. Travel expenses will be self-funded by the respective finalists’ university; alternatively presentation can be made via Skype): Concordia International School Shanghai, China.

 

 

Conditions of participation

This is a worldwide competition which allows students to apply Watson Analytics to develop innovative analytics solutions.

 

Participation: Submissions are welcome from teams of 3 students at undergraduate or graduate (e.g. US masters programs) / postgraduate (e.g. master programs in UK or Australia) level. The participation of students from analytics, data science, MBA, information systems disciplines is highly desired.

 

Submission: The submissions should include a report (with dashboard screenshots and commentary, predictive models, recommendations etc, and Watson Analytics login detail) and a 5 to 10 minutes video presentation link of the team’s solution (to be uploaded to YouTube).  Your presentation document should explain the purpose and benefits of your solution. Feel free to make reasonable assumptions as needed.

Submission page: https://easychair.org/conferences/?conf=wagc2018

 

Evaluation criteria: Submissions will be judged based on Innovation/ creativity of the solution, quality of commentary and recommendations, expected benefits for users and relevant stakeholders, Organization and presentation of the submission.

 

Please refer to the marking rubric of WACG2018:

http://waglobalacademicsnetwork.org/marking-rubric-of-wacg2018/

 

Important dates

Registration deadline: 1st January 2018

Report submission deadline: 1st March 2018

Top 10 and Top 3 finalists teams announced: 1st April 2018

 

Registration

 

Register your team here:  https://goo.gl/mzMbt8

 

Organizing Committee

 

  WAGC2018 Organizing Committee Co-Chairs:

William Yeoh, Deakin University

Michael Gendron, Central Connecticut State University

Peter Tong, Concordia International School Shanghai

Laura Trouvais, IBM Corporation

 

    Enquiry: william.yeoh@deakin.edu.au

 

More info, visit Watson Analytics Global Academics Network (WAGAN):  http://waglobalacademicsnetwork.org/ (see News section)

 

Join WAGAN Linkedin group: https://www.linkedin.com/groups/7040568

 

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