Indy Big Data Visualization Challenge
Now in its third year, the Indy Big Data Visualization Challenge is your opportunity to connect and learn from some of the Midwest’s foremost thought leaders in public open data and data visualization. Conducted in concert with the Indy Big Data Conference, the Data Visualization Challenge invites participants to explore newly released open data sources, bring diverse perspectives and skillsets together to pursue creative insights, and deliver solutions with the potential to significantly benefit the public good.
This year, Indy Big Data is excited to partner with Indiana University Bloomington School of Informatics, Computing, and Engineering, School of Public and Environmental Affairs and the Indiana Management Performance Hub, the state’s new data sharing and insights agency, to host the Challenge.
The subject area for this year’s Visualization Challenge and the subsequent datasets to be provided will focus on improving Indiana’s talent pipeline and workforce.
Indiana must build the 21st Century talent required to sustain our prosperity and competitive edge as the world economy changes. The State faces the challenge of filling more than 1 million jobs over the next 10 years. To meet this goal, we need more specially trained and skilled workers meeting the needs of Indiana employers. The data compiled for this data visualization challenge contains information about employment patterns and higher education activities in Indiana. The challenge is to use the data to answer questions about how the higher education sector responds to changes in the demand for skills in the economy. Potential questions could include: What trends did you find in talent and workforce alignment? Did you find any barriers to employment or education in areas of misalignment? What ideas do you have to better identify and improve the alignment of Indiana’s talent pipeline with the present and future needs of employers in the state?
Teams that participate in the Indy Big Data Visualization Challenge will be given the opportunity to present their work to a panel of open data, visualization, and subject matter experts on the morning of the Indy Big Data Conference on September 26th. Teams chosen as finalists by these judges will then have the opportunity to present during the Conference’s general session to all attendees.
Presentations must be limited to no more than 5 minutes. Participants are not limited to any single visualization tool but developing a working demo is strongly encouraged.
Teams must register for the Visualization Challenge no later than 12pm EST on September 21st.
Datasets for the Challenge will be made available through the Indiana Data Hub on September 12th, 2018. At least one of these provided datasets must be used; additional data can be added.
There will be a Webinar scheduled for September 14th to give participants the opportunity to become more familiar with the newly available datasets and ask questions to subject matter experts.
Visualizations will be evaluated based on the following criteria:
- ability to provide new, actionable insights
- value as a tool for data exploration
- relevance for a general audience
- scientific rigor
- September 12th – Challenge data goes live on the Indiana Data Hub
- September 14th – Webinar for participants @ 11AM EST (not mandatory)
- September 21st – Team registration deadline
- September 26th – All registered teams will present to a panel of judges, selected teams will present during the general session of the Indy Big Data Conference
All submitting teams grant Indy Big Data and the Indiana Management Performance Hub the right to publish and to publicly display visualizations, recorded presentations, and images
- Teams will be limited to no more than ten (10) individuals.
- Teams that are not able to present in-person during the Conference on September 26th are not eligible to participate.
- Challenge participants must also register for the Indy Big Data Conference. Students competing in the Challenge will be given a significant discount.
- Each Solution must support English language use, and all written parts of entries must be in English.
- Solutions are expected to have been tested for basic functionality, accuracy of messaging, and integrity (i.e. security), and must be accessible to the judges for confirmation that solutions function and operate as described.