[NOTE: THIS SITE IS BEING UPDATED WITH INFORMATION FOR THE 2025 EVENT]
PURPOSE: Details for the presentation event including:
Capstone Event Date | Wednesday, April 30 |
Location | [TBD], Charlottesville, VA 22903 |
Parking Details | [TBD] |
Time | 9am - 4pm Sponsors and faculty can drop in or stay for the full event |
Food! | Coffee, pastries, lunch, and snacks provided |
Zoom | [TBD] |
Dress code | Business casual. No jeans. |
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Poster: Each group will elect one student to upload their poster powerpoint here by Wed, April 17.
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Presentation: Submit PPT deck on Teams here by Sunday, April 28 at 11:59pm ET.
Filenames: Save all files with time AND first few words of the title.
Examples:1036am_deep_learning_based
1049am_develop_an_enterprise
Files cannot be edited after the submission deadline.
Awards will be offered to capstone teams in four broad areas.
Awards will be offered on the basis of student and audience voting at the end of the session. (Members of the audience may vote if they have participated in the entire event).
During the day, you are asked to take notes on each presentation relative to the categories and criteria described below.
The categories and criteria correspond to the values and goals of data science in the broad sense to which you have been introduced in your classes and cohort experience.
The four awards are:
☆ Most Innovative Analytical Solution
For the project that exhibits high innovation and ingenuity in the development of a model to address their client’s requirements.
Criteria include appropriateness of model selection for the problem, the novelty of the model as adapted to the problem, and the performance of the model. By model, we mean the overall computational and mathematical model chosen and developed to extract meaning and value from the data.
☆ Most Compelling Data Visualizations
For the presentation that employs the most compelling and impactful visualizations.
Criteria include the clarity and legibility of charts and graphs, the overall ability of the visualizations to translate complex information into user-interpretable form, and considerations for accessibility (e.g.color-blind friendly, vision-impaired friendly, etc.).
☆ Most Engaging Data Story
For the team presenting the most engaging data story — the narrative that best connects the problem, the data, the solution, the results, and the impact of the work done.
Criteria include the clarity of language, the overall intelligibility to non-technical stakeholders, the quality of the presentation and responses to questions.
☆ Most Impactful Ethical Engagement
For the team whose work exhibits high ethical awareness and impact.
Criteria include the degree to which ethical considerations play a part in the solution, sensitivity to limitations posed by ethical considerations, the potential impact of the work for the social good, and concern for parties affected by the problem or solution.
Note that the criteria specified are not hard and fast — they are prompts to get you to view each project through a certain lens.
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Each team will have 10 mins for presentation and 3 mins for Q&A
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During Q&A, the next team will transition on deck
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Class photo 📷. Meet 9am at the Rotunda. Details to follow.
Start Time | Title |
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9:30am | Open for Seating and Coffee / Pastries |
10:00am | Opening Remarks |
10:10am | Plan-EO: Mapping the bugs that make kids sick in tropical regions of the globe |
10:23am | Imputation of Missing Continuous Glucose Monitoring Sensor Data: Best Methods and Identification of Limits |
10:36am | Deep Learning-based EEG Analysis for Sleep Apnea Detection |
10:49am | Develop an Enterprise Architecture Assistant to Improve the Business Decision-making Process |
11:02am | BREAK |
11:10am | An ML approach to optimizing project planning for the ALMA Observatory |
11:23am | Prediction on Federal Purchasing Behaviors on Small Business |
11:36am | Metadata-to-Concept: Semi-automatic extraction of entities from image metadata on Wikimedia Commons |
11:49am | ML Audio Classification of Parent-Infant Interactions |
12:02pm | LUNCH 🥪 |
1:00pm | Leveraging Natural Language Processing for Focused Ultrasound Research Taxonomy Development |
1:13pm | Identifying Illegal AIS Tagged Fishing Nets |
1:26pm | Exploring Predictability of Winter California Hydroclimate with Deep Learning |
1:39pm | Predicting Virginia County Suitability for Carbon Dioxide Removal Techniques |
1:52pm | Recognition of Human Trafficking with Data Science |
2:05pm | ForHumanity Auditing AI System |
2:18pm | Generative AI to Facilitate Legislative Knowledge Management |
2:31pm | Break and submit awards 🏆 nominations by 2:45pm |
2:50pm | Awards and Closing |
- Reception to follow closing. Location: adjacent room at The Graduate.