Tune in to the Data Games on April 16th!
Welcome to the 2022 Spring Data Games! Tune in on Saturday, April 16th at 12:00 PM Pacific Time and check out all of the AMAZING story projects from your fellow Young Data Scientists.
*Tentative* Schedule:
12:00 – 12:10 Introduction to the Data Games
12:10 – 12:20 Marston Team 1: Fashion Inclusivity
12:20 – 12:30 Marston Team 2: Most Athletic NBA Players
12:30 – 12:40 Cloverdale: Cloverdale Mental Health
12:40 – 12:50 Launch Team 1: Mental Health and Wellness
12:50 – 1:00 Launch Team 2: Music and Mental Health
1:00 – 1:10 Intermission
1:10 – 1:20 Bioscience: Data Overload
1:20 – 1:30 Sammamish Team 1: Data Penguins
1:30 – 1:40 Sammamish Team 2: Heisenberg Uncertainty Principle
1:40 – 1:50 Sammamish Team 3: Asteroids
1:50 – 2:00 Wrap Up
Overview:
Each team will prepare a 5 minute presentation; to be followed by 2-3 minutes Questions & Answers
A panel of 3-5 Data Scientists will evaluate the presentations and determine award winners
This panel will provide feedback for all presentations
Live presentations are welcome, however video presentations are preferred (mp4 preferred format)
NOTE: You do not need to squeeze every bit of your work into your 5 minute presentation. We recommend you present an overview that is compelling. Your portfolio provides the 'behind the scenes' work that your team has put into creating your story project.
Please have submitted your mp4 recording or the presentation plan if presenting live sometime during April 2nd-9th!
Most Compelling Impact: Students will select which team they determine has created a build project with the most significant, compelling potential for impact. Students should select teams based on who they think best represent the league in this regard. Panel members will also cast votes for this award.
Most Creative Storyteller Award: Students on YDSL teams will select which team they determine took the insights from their build project and up-leveled it into an original story with a highly unique and creative approach. Students should select teams based on who they think best represent the league in this regard. Panel members will also cast votes for this award.
Best Data Science Application AI: A panel of outside experts grants this award to the team that demonstrates the most significant application or automation of artificial intelligence or automation in their build project. The best project does not need to have the most complex AI in order to achieve this outcome. For example, this may be seen through a large AI model, or a small amount of code, or even a clever use of Google Sheets.
Best Data Science Application Insights: A panel of outside experts grants this award to the team that demonstrates the most significant application of generating knowledge (i.e. insights) pertaining to data science in their project. Insights are grounded in rigorous analysis and may be communicated in a variety of ways - for example, through a visualization or presentation.
YDSL Quest Successful Completion Award: Every team member earns this award upon completion of bootcamp and build. To receive this well-deserved award, you need to have an outcome - a presentation and project to share for the Data Games. The YDSL Team itself will be honored to grant this award to you.
See the bios from our Panel of Adjudicators below! They will be watching the presentations, asking live questions to our students, submitting feedback, and voting on awards.
Peer Adjudicators: Chelsea, Elijah, and Lucy
Klarke Clayton attended the University of Kentucky where she studied Community and Leadership Development. After college, she moved to Seattle where she was in the Leadership Development Program at Aramark.
Her data journey began while working at a marketing company in Seattle and attending Northeastern University for the Data Analytics Certificate. She has experience as a Data Consultant and is currently working at Microsoft as a Business Program Manager in the Azure Direct Analytics space.
Sarah Pierre-Louis has been in the tech industry for 25 years. She has created an intuitive coaching business Sarahpierrelouis.com. One of the most important things for her is to help others bring the magic out in their lives and their careers. She helps people manifest the life they want to live.
William Powell attended Seattle University and studied business management and entrepreneurship. He has 5 years of experience working in the data realm and currently works at Ernst and Young as a Senior Technology Consultant.
Yelena Tsymbalenko, from Milwaukee, WI (originally from Kyiv, Ukraine), is a Senior Software Architect at GE Healthcare. Her position at GE Healthcare has led her to use data to develop smart and easy-to-use Ultrasound Medical devices that are able to see inside the human body by simply using sound. These devices provide objective information to doctors to aid them in making more accurate diagnosis, selecting the correct treatment, and helping the patient get on the right track to a speedy recovery.
Badges may be awarded by your teacher directly according to the rubrics below!
Awarded for projects which are built around a unifying question that is (1) clear, (2) speaks to student teams’ interests, and (3) can be answered using data and specific data features, according to the score criteria to the right.
Awarded to teams who are able to collect or create data that is (1) well organized and clearly presented, (2) highly relevant to the topic, (3) reliable, trustworthy, and unbiased.
Awarded to teams whose project identifies knowledge and insights that are (1) precisely communicated, (2) make quantified conclusions clearly backed by evidence, and (3) thoughtfully consider nuances such as sample size, bias, and causation vs. correlation.
Keep in mind that a “no effect” result is sometimes just as important!
Awarded to teams whose project leverages technology and/or AI in ways that: (1) use data to automate manual tasks, (2) address a clear need that is relevant to the core question, and (3) consider potential biases
Awarded to teams whose project leverages data modeling that (1) has a certain degree of scientific rigorousness, (2) uses appropriate (problem-dependent) data features & sample sizes & (3) provides concrete underpinnings for storytelling. The project is equipped w/ good storytelling that is novel and original. Stories are well backed by data modeling results.
Awarded to teams whose project has potential to positively impact some aspect of the community. Community = individuals, families, neighborhoods, cities, countries, the world.
Awarded to teams whose projects' story is original and compelling. It should incorporate your data seamlessly and powerfully, in a way that has not been done before.
Awarded to teams who, by self-assessment work together successfully - every member is involved and contributes to the best of everyone’s ability.