[AISWorld] Call for Registration - The 2017 Watson Analytics Global Competition

William Yeoh william.yeoh at deakin.edu.au
Mon Oct 10 05:10:42 EDT 2016


[The 2017 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 (including data refinement, exploration, predictive model, social media analytics & dashboard functions) 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 student account):

https://goo.gl/VkU8Nk



Watson Analytics Tutorials:

https://bigdatauniversity.com/courses/introduction-watson-analytics/


Want to learn more? You can:

*         Download step-by-step workbook and dataset from https://ibm.ent.box.com/s/ok0tgb3lnsl8beg688s28xr04i6pxx45



Watson Analytics - More useful links:

http://waglobalacademicsnetwork.org/useful-links/



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

[Prizes]

Grand prize for top two finalist teams: To be announced

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


[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. (PhD or Master by research students are not eligible).





Submission: The submissions should include a report (with dashboard screenshots and commentary, predictive models, social media analytics, 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=wagc201<https://easychair.org/conferences/?conf=wagc2016>7



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 WACG2017:
  http://waglobalacademicsnetwork.org/marking-rubric-of-wacg2017/


[Registration]

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


[Important dates]
Registration deadline: 31 October 2016 (*registered teams will get support/enablement sessions from IBM)
Submission deadline: 31 March 2017
Top 10 finalists shortlisted: 1 June 2017


[Organizing Committee]

  Organizing Committee Co-Chairs:
  William Yeoh, Deakin University
  Greg Richards, University of Ottawa
  Michael Gendron, Central Connecticut State University
  Gandolfo Messina, IBM Corporation

  Competition Sponsor:
  IBM Corporation

  Enquiry: william.yeoh at deakin.edu.au<mailto:william.yeoh at deakin.edu.au>

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



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