The Columbia Data Science Society is proud to host its eighth annual Columbia Data Science Hackathon. Come work with novel datasets, engage with sponsors, and present your findings to a panel of judges from academia and the industry! This hackathon is open to all Columbia students, though prior experience with data science or computer programming is recommended.

Schedule:

Attend the opening ceremony for general orientation and to know where to start.

Table numbers 

Gaming Challenge

1. Team IKUN - Gaming Track (32)

2. Deep Learning Models Stochastic Processes (33)

3. Pity Me, I Play Genshin Impact (25)

4. Data Science Hackathon - Gaming Track (26)

5. Mystery Boxes and Mixture Models (27)

6. JJ8 (19)

7. Genshin's Wish Pity System - Data Science Hackathon Game (20)

Data Privacy

1. Incremental Generation of Differentially-Private Datasets (18)

2. Differential Privacy Project based on yellow cab data (6)

3. Privacy in Transit: A Data Synthetic Approach (15)

4. Data Privacy (5)

5. Differential Privacy on Cab data (10)

6. MLforDifferentialPrivacy (11)

7. Data & Privacy (17)

8. Big Data Generation (3)

9. Data_Privacy_Taxi (9)

10. NIST-MST Data Privacy (4)

11. Tip-to-Fare Ratio as Quality Evaluation for Yellow Cabs (15)

12. Columbia Engineers (14)

Patient Safety

1. Influential Factors of Patients’ Serious Adverse Effects (35)

2. Boosting Patient Safety (36)

3. Potatoes (37)

4. Medicinal adverse effect (29)

5. Personalized Risk Visualizer (30)

6. Patient Safety: Adverse effects of antihypertensive drugs (31)

7. DrugX (22)

8. Acetaminophen Mortality Prediction (23)

9. Finding Hay in a Haystack (24)

10. Demographic vs Seriousness: Depression, Pain, & Hypertension (28)

• Technical Knowledge (40%)
  The technical knowledge and proficiency a team demonstrates.
• Creativity (40%)
  The overall novelty and impact of a team's findings.
• Presentation (20%)
  The overall quality of a team's presentation.