Open Source in Real Life

Transcript

1. OPEN SOURCE IN REAL LIFE

2. WHAT IS SERENATA?

3. WHAT IS SERENATA? • The main goal: use artificial intelligence

   to social control of public administration • We learnt how to work with data science using open data (CSVs that show reimbursements). • Multidisciplinary team: Scientists, programers, marketing and journalists • Open Source: More than 700 members in the Telegram group.

4. WHY? • Advantages: Bringing citizens and government closer, suggesting technology

   solutions • For the developer: tool choice flexibility

5. • We did a crowdfunding campaign that would pay 3

   months of development • Data science projects usually take 6 months to a year, what can we do in 3 months? • Techniques: hypothesis driven development and timeboxing HOW DO WE GET HERE?

6. TECHNIQUES

7. • Hypothesis-Driven Development • Survey of hypotheses that seek the

   solution of a problem • Multidisciplinary team as a way to expand knowledge HDD: HYPOTHESES

8. • List of hypotheses to explore • Associate a time

   window with development, and if it doesn't work, switch to another hypothesis • Back to previous assumptions as time goes by TIMEBOXING

9. • We studied the available dataset, and by that we

   defined some hypothesis we could have: ◦ Non-Standard Prices on Food ◦ Traveled distance and spending ◦ Invalid tax identification number ◦ Monthly maximums (taxi, fuel, ...) DEVELOPED HYPOTHESES

10. • Jupyter notebook with initial analysis • Script for parsing

    the entire database • Training an initial model • Retraining after time period DEVELOPMENT CYCLE

11. DEVELOPMENT CYCLE

12. DEVELOPMENT CYCLE

13. RESULTS

14. MAIN REPO

15. REIMBURSEMENTS DASHBOARD

16. TWEETING ROBOT

17. INSPIRATION FOR OTHER PROJECTS

18. SERENATA.AI/EN @anaschwendler