Scoring Rubric:
Projects will be scored on the following categories from 0-10 by each judge. Each category will receive a final score by averaging each judge’s score. Then a final weighted average will be obtained for the final score by averaging each category’s score (weightings listed in table).
| Weighting | Category | Description |
|---|---|---|
| 10% | Question Design and Dataset Utilization | – Is the question related to health equity? – Is the question interesting and/or novel? – Are at least two datasets used? |
| 35% | Methodology and Result Generation | – Are the methods used appropriate to the question asked? – Are the results accurate? Are there logical errors? – Do the figures accurately represent the analyzed data? |
| 25% | Discussion of Results and Conclusions | – Are results evaluated in the context of the question? – Are the figures used to discuss the data and address the question? – Are conclusions appropriately drawn based on the analysis? – What additional datasets would you have used if they had been available? |
| 10% | Evaluation of Error, Bias, and Statistics | – Is there an evaluation of bias and error? – Was some statistical method used to evaluate precision, uncertainty, etc.? |
| 10% | Presentation Organization and Quality | – Was the presentation easy to follow and organized in a manner that made sense? – Was the presentation professional, and scientific, and did it contain all the required sections? – Was the Presentation 10-15 minutes? |
| 10% | Code Organization and Quality | – Was the code available, organized and well annotated/commented? – Does the code reflect what was discussed in the presentation and writeup? |