Businesses can thrive by maximizing the use of data. Colorado businesses can maximize their effectiveness, enhance reach, and increase accessibility by leveraging free publicly available data.
Build a data analytics tool or data-driven business application that provides Colorado businesses:
- meaningful insights for decision making,
- uses publicly and privately accessible data and
- addresses a current Colorado problem.
Sample problems to address may include but are not limited to:
Workforce
Energy
Water
Agriculture
Telecommunications/Fiber accessibility
Food Access
Daycare
Healthcare
Emergency/Pandemic support
- Judges, in their sole discretion, will select the winners of the Semi-Final Competition based on the judging criteria. A panel of judges (“Judges”), will be selected by Go Code Colorado organizers.
- On Monday, April 26, 2022 the Judges will choose twelve (12) Finalist Teams composed of six (6) teams from each track. Semi-Final submissions are judged against submissions of the same competition track. Competition track is defined at Semi-Final submission.
- The 12 Finalist Teams will move on to the next round of competition (the “Final Event”).
- Judges, in their sole discretion, will select the winners of the Final Competition based on the judging criteria as published on gocode.colorado.gov.
Scale:
1 |
2 |
3 |
4 |
5 |
6 |
7 |
Strongly disagree |
Disagree |
Slightly disagree |
Neither agree nor disagree |
Slightly agree |
Agree |
Strongly agree |
Each scoring category will be given a 1-7 score and the weight will be used to calculate the total final score.
Criteria:
Category Title |
Application Track Description |
Analytics Category Description |
Weight |
Use of Data |
This category scores the use of data in the application by evaluating:
- The logicality in the choice of datasets
- The importance of data to the functionality of the application
- If data is utilized from the Colorado Information Marketplace
- The efficacy of the data in the application in providing new insights
|
This category scores the use of data in the analysis by evaluating:
- The logicality in the choice of datasets
- The importance of the datasets chosen to the findings of the analysis
- If data is utilized from the Colorado Information Marketplace
- The data findings have potential to lead to insights and questions requiring new data
- The mathematics behind data analysis are clearly presented and appropriate
|
25% |
Innovation |
This category scores the innovation of the application by evaluating:
- How unique the application is
- If there has been similar submissions to Go Code Colorado
- If the application is relevant to the issue it seeks to solve
- The modernity of the tech stack utilized to create the application
|
This category scores the innovation of the analysis by evaluating:
- How unique the analysis is
- If there has been similar submission to Go Code Colorado
- If the analysis is relevant to current issues in Colorado and the rest of the world
- Value added if the analysis builds off of existing analyses
- The methodologies and techniques employed to produce the results of the analysis
- The analysis in the form of a dashboard, application, interactive webpage, or white paper format
|
20% |
Presentation |
This category scores the video presentation that is submitted by evaluating:
- The narrative quality of the presentation
- The conciseness of the presentation
- The visual appeal of the presentation
- The persuasiveness of the presentation
|
This category scores the video presentation that is submitted by evaluating:
- The narrative quality of the presentation
- The conciseness of the presentation
- The visual appeal of the presentation
- The persuasiveness of the presentation
|
10% |
Sustainability |
This category scores the sustainability of the application by evaluating:
- The ability of the application to have lasting impact for an identified business opportunity or issue
- The suitability of the application to be used for a long period of time
- The ability of the application to drive change that is lasting
- The social, economic, and environmental implications of the application
|
This category scores the sustainability of the analysis by evaluating:
- The ability of the analysis to have long-lasting impacts
- The ability of the analysis to perpetuate further analysis of similar topics
- The replicability and documentation of methodologies utilized in the analysis
- The social, economic, and environmental implications of the analysis
|
20% |
Quality |
This category scores the overall quality of the application by evaluating:
- User experience
- Functionality
- Visual components of the application
- Code utilized in the product
|
This category scores the overall quality of the analysis by evaluating:
- Readability
- Meaningfulness of output
- The methodologies implemented to achieve the results
- The integrity of the analysis
|
25% |