Name: Illinois Tech AI in Data Privacy Hackathon
Start: 2018-10-26T09:00:00-05:00
End: 2018-11-08T12:00:00-06:00
Location: Chicago-Kent College of Law at Illinois Institute of Technology

Illinois Tech AI in Data Privacy Hackathon

Illinois Tech

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Welcome to the 2018 Illinois Tech Data Privacy AI Hackathon! 
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 As part of <A HREF="http://www.gcsichicago.com" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">GCSI 2018</A>, Illinois Tech will be hosting a ‘Kaggle style’ data science Hackathon for multi-disciplinary teams of IIIinois Tech students in CS/Math, the Stuart School of Business, the Kent School of Law and other numerate and technical disciplines. The regulatory environment for data privacy and compliance has recently culminated in the rollout of the EU’s General Data Protection Regulation (GDPR). This, together with other recent serious personal data breaches involving Facebook and other technology firms, has not only heightened consumer issues around privacy of their data but is also changing how firms use customer and client data and the skill-sets that employers seek. Ahead of GCSI 2018, each registered team will be given access to two datasets of public data protection policies. One set will consist of  processed protection policies, labeled with GDPR scores.  Over a two-week Hackathon period each team shall use this dataset to build a supervised machine learner to automatically assign GDPR compliance scores to policies. The other dataset consists of different, unlabeled, data policies.  Student teams must submit their model results from the unlabeled dataset by the Hackathon submission deadline. The team with the best model, ranked by F1 score on the unlabeled dataset,  will be the winner and the top three teams will present their work at the forum, receiving a prize in front of GCSI conference attendees.  Winning teams will have their photos taken with GCSI sponsoring technology companies.
Note that all teams are encouraged to attend GCSI 2018. Codes for separately registering for GCSI 2018, free of charge, will be emailed to all registered Hackathon attendees. Valid Student ID must be presented in order to attend GCSI 2018. For avoidance of doubt, registration for the Hackathon and GCSI 2018 are separate. 
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 Deadlines Hackathon team registration: 5pm CST, October 23rd Hackathon starts: 9am CST, October 26th Hackathon results submission: noon CST, November 8th Announcement of winning teams: November the 9th (am), GCSI 2018 
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 Rules The Illinois Tech Data Privacy AI hackathon is open to all currently enrolled undergraduate and graduate student teams only.  Team sizes must be between 2 and 5.  All team members must register for the hackathon by the October 23rd registration deadline to qualify for the competition. 
We recommend that you appoint a team leader who is responsible for ensuring that all team members have registered for the Hackathon with their Hawks email address.  Please note that signing up with a different email account, other than your hawks account, will result in your registration being revoked. Only one submission is allowed per team. Submissions after the submission deadline will not be accepted under any circumstances. 
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 What makes a great Hackathon team? It is recommended that at least one member of the team has a strong programming background and is able to perform analysis of textual documents (text mining).  In particular, the ability to write regular expressions and programmatically query textual data is advantageous. 
Other team members should have analytics and statistical programming experience, be familiar with machine learning programming tools such as, for example, TensorFlow or scikit-learn, and likely have the ability to use source code version control such as GitHub or Bitbucket. We emphasize that each team is free to use any model building software they choose, however.  Teams with no programming skills may also compete if they are able to use off-the-shelf tools for automatic model building. We also recommend that at least one member of the team have the ability to source data mining ideas (feature selection and engineering), through reading about GDPR and related research papers for example.   
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 How do I form or join a hackathon team? We recommend that you find one or more colleagues who are interested in joining you on a team.  If you would like to find other team members, please <A HREF="https://join.slack.com/t/iit-ai-gdpr-2018/shared_invite/enQtNDU0NzM0MjgwNzQzLTQzM2NlYjdmMThkZjBjZjQyOTRhNGYwZTE2OTNkMTMwYTRmMzM1NWFhNjliODU5NjJiNDM0NTU2OWM2MDUxZDQ" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">subscribe</A> to the <A HREF="https://slack.com/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">slack</A> group and use the #findateam channel to find team mates.  We recommend that you install the slack app on your phone. We also advise that you keep your posting concise and do not share any personally sensitive information such as your mailing address, student ID or phone number.
Post your name, program of study, year of graduation, link to a public profile showing any relevant work (e.g. a GitHub account), size of your team (can be 1 if you are looking to join or form a team), preferred availability to collaborate (e.g. weekends only, evenings). You should browse through the postings and contact each member whose availability and background is complementary.  Membership of the slack working group is optional and will be revoked if abused. Once you have found an initial team, we recommend that you meet in person and agree on two or three times a week where you can work together for at least an hour each session.   If you don’t find another compatible team member by October 23rd, don’t panic. Register for the Hackathon anyway, and we shall run a matchmaker session on the afternoon of Wednesday 24th at the Mies campus for anyone who wants to find another team member or grow their team. Once registered, detailed instructions regarding how to download the datasets and submit the results from your model will be emailed to you before the start of the hackathon. 
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 Further Questions? From time to time, we shall post Q&A on the #general slack channel.  You can also email Prof. Matthew Dixon matthew_dot_dixon_at_iit_dot_edu regarding any questions.

Chicago-Kent College of Law at Illinois Institute of Technology

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Illinois Tech AI in Data Privacy Hackathon

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Illinois Tech AI in Data Privacy Hackathon

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