Rules and Code of Conduct

Goal

We are looking for you to come up with a great idea and a working prototype within the duration of the Data Challenge event. What is crucial to any data enthusiast? –Data sets! Data Challenge provides these data sets to you to work with and come up with an innovative finding. We encourage you to use 3rd party services, APIs, open source projects, libraries, and frameworks. Let’s face it, we need all the help we can get during a hectic event.

Teams

Participants may compete as individuals or as teams up to 4 for this challenge and no changes in team would be accepted after registration. If the participant has registered with multiple teams, the participant would be considered a part of the first team to register with.

Integrity

To ensure a level field for all contestants, all code, design, art, music, SFX, and assets must be created during the duration of the Data Challenge. We want to ensure that all participants start off with the same toolbox and we also want to preserve the true nature of the event. You are, however, free to make plans and brainstorm prior to the event. We take this rule very seriously for the sake of all members attending the event. Failure to comply may result in the team’s disqualification.

Ownership

All teams share ownership of the final product. The organization will receive the analysis and outcomes, and the student teams will have the right to share their work on the project.


Code of Conduct

Be respectful. Harassment and abuse are never tolerated. If you are in a situation that makes you uncomfortable at a Data Challenge event, if the event itself is creating an unsafe or inappropriate environment, or if interacting with a Data Challenge representative or event organizer makes you uncomfortable, please report it using the procedures included in this document.

Harassment includes but is not limited to offensive verbal or written comments related to gender, age, sexual orientation, disability, physical appearance, body size, race, religion, sexual images in public spaces, deliberate intimidation, stalking, following, harassing photography or recording, sustained disruption of talks or other events, inappropriate physical contact, and unwelcome sexual attention. If what you’re doing is making someone feel uncomfortable, that counts as harassment and is enough reason to stop doing it.

Participants asked to stop any harassing behavior are expected to comply immediately. Sponsors, judges, mentors, volunteers, organizers, Data Challenge staff and anyone else at the event are also subject to the anti-harassment policy. In particular, attendees should not use sexualized images, activities, or other material both in their hacks and during the event. Event staff and volunteers should not use sexualized clothing/uniforms/costumes, or otherwise create a sexualized environment.

If a participant engages in harassing behavior, Data Challenge may take any action it deems appropriate, including warning the offender or expulsion from the event with no eligibility for reimbursement or refund of any type. Data Challenge representatives can engage University authorities to take appropriate action as needed. If you are being harassed, notice that someone else is being harassed, or have any other concerns, please contact Data Challenge using the reporting procedures defined below.

Reporting Procedures

Data Challenge representatives will be happy to help participants contact campus security or local law enforcement, and engage the right resources to assist those experiencing harassment to feel safe for the duration of the event. We value your attendance. We expect participants to follow these rules at all Data Challenge venues, Data Challenge related social events, and on Data Challenge supplied transportation.

If you feel uncomfortable or think there may be a potential violation of the code of conduct, please report it immediately. All reporters have the right to remain anonymous.

Data Challenge reserves the right to revise, make exceptions to, or otherwise amend these policies in whole or in part. If you have any questions regarding these policies, please contact Data Challenge by email at datachallenge@umd.edu