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Saturday 23rd of February 2019 12:00:00 AM


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 What is Data Challenge?

Data Challenge is an annual week-long data exploration event at the University of Maryland hosted by The College of Information Studies and The School of Architecture, Planning and Preservation, Maryland’s School of the Built Environment (MAPP)

During the week, UMD students will gain analytical experience by solving challenging problems exploring novel datasets, build technical aptitude integrating datasets to create multidisciplinary knowledge, and obtain real-world team-building experience.

All UMD students are invited to participate.

Students will choose from the sponsor provided datasets to work with for the week, and will be encouraged to use additional 3rd party services, APIs, open source projects libraries, and frameworks to create and answer a unique question about their chosen dataset. This week long distributed format allows students sufficient time for evaluation, question formation, dataset integration, analysis, and results preparation.

In addition, the students will have an opportunity to participate in sponsor’s tech talks, network with a variety of organizations, and learn about future connections with the organizations.

No matter what major the students are from, they can partner up for a social cause, show off their skills and make their contribution to creating something innovative!


Schedule

Data Challenge Event February 23 – March 2, 2019

Challenge Kickoff | February 23, 2019 9:00am – 5:00pm

Teams meet with mentors on campus to discuss ideas, frame the research question, start the analysis work and set expectations for the week.

Research Showcase and Judging Day | March 2, 2019 9:00am – 5:00pm

Teams present the outcomes of their analysis to the Data Challenge Judges, data enthusiasts, friends, family, and anyone who is interested to see the amazing work the students have created during the week.

Registration Schedule

Individual Registration | December 1, 2018 – January 31, 2019

Every team member first registers individually for the event through the registration link.
Registration link will be posted on December 1, 2018 at 8:00am.

Team Registration | February 1, 2019 – February 15, 2019

If you plan to form a team, you will have the opportunity to officially register your team during this timeframe.

Data Challenge Pre-Events

Mentor/Researcher Team Building Event | February 1, 2019 4:00pm – 6:00pm

This event is open all Data Challenge 2019 mentors, plus anyone who is interested in learning how to work with students as they work through a data analysis problem. Signup details coming soon!

Team Building Event | February 8, 2019 6:00pm – 9:00pm

This event is highly recommended for those who do not have a team yet. Meet and network with other student participants with similar ideas who are looking to join a team. RSVP is required.
All students registered for the Data Challenge will receive an invitation to this event.

 


Register

Registration Begins December 1, 2018 at 8:00am

  • Participants may compete as individuals or as teams up to 4 for this challenge.
  • Each participant should register individually with their UMD email ID by January 31, 2019 11:59pm.
  • If unable to attend after registration, please send an email at datachallenge@umd.edu to inform us.
  • Team registration begins on February 1, 2019 12:00am.
  • All registered students would be sent an email with the team registration form link.
  • No changes in the team would be accepted once the team has registered.
  • If a participant has been registered for multiple teams, the participant will only be included with the first team to register.
  • The team registration will end on February 15, 2019 at 11:59pm.
  • Ph.D. Students that are Candidates may choose to be either a mentor or a participant.
  • Teams can be made up of a combination of Undergraduate, Masters and PhD students. However, a team may not have more than 50% Ph.D. students.

Datasets

Dataset information will be posted on February 5, 2019.

Access to datasets will be provided on February 20, 2019.


Sponsorship Opportunities

Yottabyte Sponsor | Support Data Challenge 2019 with a gift of $3,000

  • Provide Open and Closing remarks during Kick-off Day and Research Showcase Judging Day
  • Assist with announcing winners and prize distribution
  • Interview winners on campus during the week following the Research Showcase Judging Day
  • Host an Event Table at the Kick-off and the Research Showcase Judging Days
  • Judge the final products during Research Showcase Judging Day
  • Give a 30-minute Tech Talk or Workshop during Kick-off Day
  • Receive a copy of all the student participant resumes
  • Supply Datasets or API’s for the student participants
  • Provide mentorship for a student team during Kick-off Day and continue virtually during the week
  • Organization’s logo will be prominently placed on event materials, including the main DC19 banner
  • Include organization literature and/or swag in all student participant bags

Exabyte Sponsor | Support Data Challenge 2019 with a gift of $1,000

  • Host an Event Table at the Kick-off
  • Judge the final products during Research Showcase Judging Day
  • Give a 30-minute Tech Talk or Workshop during Kick-off Day
  • Receive a copy of all the student participant resumes
  • Supply Datasets or API’s for the student participants
  • Provide mentorship for a student team during Kick-off Day and continue virtually during the week
  • Organization’s logo will be prominently placed on event materials, including the main DC19 banner
  • Include organization literature and/or swag in all student participant bags

Gigabyte | Support Data Challenge 2019 by Volunteering

  • Supply Datasets or API’s for the student participants
  • Provide mentorship for a student team during Kick-off Day and continue virtually during the week
  • Organization’s logo will be prominently placed on event materials, including the main DC19 banner
  • Include organization literature and/or swag in all student participant bags

Sponsoring Details

Interviewing Winners

Yottabyte sponsors will be provided an interview room on UMD campus for 1 days in the 2 weeks following the Research Showcase Judging Day to interview the Data Challenge Prize Winners

The Data Challenge Organizing team will manage the logistics, Yottabyte sponsors will only need to choose their preferred day and show up to meet with the winners

Interview days will need to be reserved by January 30, 2019

Providing a Tech-Talk or Workshop

Yottabyte and Exabyte sponsors may provide a Tech-Talk during Kick-off Day that will motivate participants and share insights on exciting and innovative products their organization is currently working onTech-talks will be 30 minutes in length

All participating students and mentors will be invited to attend the talks

Organizations may connect with students outside of the Tech-Talk time during the day

Tech-Talk and Workshop reservations must be made by January 30, 2019

Hosting an Event Table

Yottabyte sponsors may set up an Event Table during both Kick-off and Research Showcase Judging Days to engage with all the student participants and mentors throughout the day during the Kick-off Day and the general public viewers on the Research Showcase Judging Day.
Event Tables may be stationed for ½ or a full day

Exabyte sponsors may set up an Event Table during Kick-off Day to engage with all the student participants and mentors throughout the day
Event Tables may be stationed for ½ or a full day

Table reservations must be made by January 30, 2019

Judging

Yottabyte and Exabyte sponsors may supply one Judge

Judges will evaluate the student team’s final products during the Research Showcase Judging Day on March 2, 2019.

Judges will be provided with the scoring rubric and a score card for notes for each team, which includes the categories that the projects and presentations will be evaluated on.

Judging criteria, procedures and schedules will be emailed to judges a week before the Challenge Kick-off.

A copy of each team’s abstract will be provided to the judges by 6pm the night prior to the Research Showcase Judging Day

Judges must commit by January 20, 2019

Mentors

All sponsors connected with Data Challenge 19, or UMD researchers, regardless of discipline, may be mentors for student teams; no teaching or mentor experience necessary.

There is no limit to the number of mentors from an organization.

Mentors spend Kick-off Day at UMD working with their assigned student teams, and supporting the teams virtually for the remainder of the week.

Mentors guide student teams as they work through exploring the dataset, selecting a research question and understanding the organizations problem statement

If desired, mentors can achieve in-depth analytical explorations of unfamiliar datasets that may inform future research directions.

Mentors will be invited to attend the Mentor/Researcher Team Building Event on February 1, 20193-hour workshop hosted by the UMD Data Challenge Team and industry data scientists.

Mentorship expectations will be reviewed as will the purpose of the dataset integration theme.

The DC Dockless Bikeshare open API, curated by the National Center for Smart Growth research team, will be previewed as an example of data that fosters multidisciplinary connections.

Mentors must commit by January 20, 2019.

Swag and Literature

All sponsors connected with Data Challenge 19 may provide organization swag or literature that will be included in the student participant event bags.

There is no limit on the number of items that can be supplied.

Swag and literature must be provided to the Data Challenge Organizing team by January 20, 2019.

Supply Dataset | API

Dataset should be accompanied by:

A short statement about why this dataset has been included in the event
OR
A problem statement to guide the participants exploration

Datasets must be complete and cleaned so the student participants do not need to take the time to complete these actions.

There is no limit on the number of datasets that sponsors can provide.

Sponsors can also provide software codes or API’s to extract data.

Datasets must be submitted to the Data Challenge Organizing team by January 20, 2019


Mentor

  • All sponsors connected with Data Challenge 19, or UMD researchers, regardless of discipline, may be mentors for student teams; no teaching or mentor experience necessary.
    • There is no limit to the number of mentors from an organization.
  • Mentors spend Kick-off Day at UMD working with their assigned student teams, and supporting the teams virtually for the remainder of the week.
    • Mentors guide student teams as they work through exploring the dataset, selecting a research question and understanding the organizations problem statement
    • If desired, mentors can achieve in-depth analytical explorations of unfamiliar datasets that may inform future research directions
  • Mentors will be invited to attend the Mentor/Researcher Team Building Event on February 1, 2019
    • 3-hour workshop hosted by the UMD Data Challenge Team and industry data scientists
    • Mentorship expectations will be reviewed as will the purpose of the dataset integration theme
    • The DC Dockless Bikeshare open API, curated by the National Center for Smart Growth research team, will be previewed as an example of data that fosters multidisciplinary connections

Mentors must commit by January 20, 2019


Frequently Asked Questions

Can I attend this challenge?Yes, if you are an undergraduate, graduate, or Ph.D. student enrolled in the University of Maryland, College Park, we’d love to have you join us!Do I have to pay?This event is absolutely free! It includes admission, interaction with awesome mentors, swag, food and beverages.How do I register?

Click the Register button and tell us about yourself. Registrations open at 12:00 AM (EST) on November 1, 2017 and close at 11:59 PM on November 30, 2017.

Do you provide food?

More that you can imagine. No, seriously, we will keep you well fed and watered.

Can I bring my own team?

Yes, you can! Your team can include 2-4 members.

I don’t have a team. What do I do?

We will have a team building session before the event so you can interact with fellow participants and make your team!

What do I bring to Data Challenge?

Bring a valid student ID, your laptop and charger and bundles of enthusiasm.

I don’t know how to code, Can I still register?

Yes! Students with varied skills and an interest to work with lots of data are encouraged to participate.

Where and when is the event?

The event is taking place at Adele H. Stamp Student Union in the Grand Ballroom.
The entire event will be from February 23, 2019 to March 2, 2019. However, you are expected to be present only on February 23, 2019 and March 2, 2019.

Data Challenge Kickoff: February 23, 2019 | 9:00am – 5:00pm

Research Showcase Judging Day: March 2, 2019 | 9:00am – 5:00pm

I have more questions. Who can I talk to?

Drop us an email at datachallenge@umd.edu, and we’ll get back to you as soon as we can.


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. There’s no need to break DRY rules when there are so many great resources available to all data enthusiasts.

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 retain full ownership of what they have created during the Data Challenge. The organizers are here to help innovators, data enthusiasts and entrepreneurs realize their dreams, not destroy them.

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


 Data Challenge 2018