1.
Improving disaster response
with machine learning
Antje Barth
Principal Developer Advocate, AI/ML
AWS
Chris Fregly
Principal Specialist SA, AI/ML
AWS

2.
Natural disasters increase in frequency and severity
Pressure on organizations involved
Technology and/or financial barriers

3.
AWS Disaster
Preparedness and
Response program
Contributing technology
solutions
Providing subject matter and
technology expertise
Contributing resources, such as
AWS credits and volunteers

4.
Use case: Edge storage for data
transfer/critical information backup

5.
Supporting Help.ngo with AWS edge compute
Hurricane Dorian response in the Bahamas

6.
AI/ML in the context of
disaster response and relief efforts

7.
The AWS
Disaster Response
Hackathon
awsdisasterresponse.devpost.com
Challenge: Improve disaster
response with machine learning
December 1, 2021 through
February 7, 2022
Total of $54,000 USD in prizes

8.
Hackathon results
1,488 participants
80+ countries
42 project submissions

9.
Starting place for ML coders
studiolab.sagemaker.aws
Am azon
SageMaker
Studio Lab
Learn and experiment with ML
using free, no-configuration
notebooks in the cloud

10.
Winning projects
Popular datasets, ML tools and
frameworks

11.
Prevention and
mitigation
Preparedness
Response
Rehabilitation
and recovery The
disaster
lifecycle
Disaster/
crisis

12.
Prevention and
mitigation
Preparedness
Response
Rehabilitation
and recovery The
disaster
lifecycle
Disaster/
crisis

13.
Prevention and
mitigation
Preparedness
Response
Rehabilitation
and recovery The
disaster
lifecycle
Disaster/
crisis

14.
Wildfire mitigation:
Computer vision ID of hazard fuels
Quickly identify and respond to tree disease and mortality
using computer vision model to ID diseased and dead trees
from open -source available Landsat data.
devpost.com/software/wildfire -mitigation -computer -vision-id-of-
hazard-fuels
github.com/MarjorieRWillner/DisasterHack

15.
Prevention and
mitigation
Preparedness
Response
Rehabilitation
and recovery The
disaster
lifecycle
Disaster/
crisis

16.
Thunderstorm prediction
using ML
Find correlations between the atmospheric conditions
at the time of the lightning strike to predict the occurrence
of lightning and thunderstorms.
devpost.com/software/lighting -prediction -in-india-using-ml
github.com/suryaremanan/Thunderstorm -Prediction -Using-ML

17.
Prevention and
mitigation
Preparedness
Response
Rehabilitation
and recovery The
disaster
lifecycle
Disaster/
crisis

18.
Global fire spread
prediction system
The tech team at Satellite Vu applied their knowledge
of wildfires, satellite imagery, and machine learning to
demonstrate a fire spread prediction system.
devpost.com/software/global -fire-spread-prediction -system
github.com/SatelliteVu/SatelliteVu -AWS-Disaster-Response
-Hackathon

19.
Prevention and
mitigation
Preparedness
Response
Rehabilitation
and recovery The
disaster
lifecycle
Disaster/
crisis

20.
DisaVu
Direct relief resources to where they are needed most
using a sophisticated machine learning approach.
devpost.com/software/disavu
github.com/SrzStephen/DisaVu

21.
Prevention and
mitigation
Preparedness
Response
Rehabilitation
and recovery The
disaster
lifecycle
Disaster/
crisis

22.
Soteria
Use machine learning with satellite imagery to map
natural disaster impacts for faster emergency response.
devpost.com/software/soteria -yolciw
github.com/Soteria -ai/Soteria

23.
Explore more hackathon
projects…

24.
Explore more hackathon projects
awsdisasterresponse.devpost.com/project -gallery

25.
Run the sample code
studiolab.sagemaker.aws
Am azon
SageMaker
Studio Lab
Learn and experiment with ML
using free, no-configuration
notebooks in the cloud

26.
Learn how to get started with
data science and ML on AWS

27.
Practical data science specialization
coursera.org/specializations/practical -data-science
Practical Data Science
on the AWS Cloud Specialization
3 courses
10 weeks of content
Video lectures, quizzes, hands-on labs

28.
Book recommendation:
O’Reilly, Data Science on AWS
datascienceonaws.com
Data Science on AWS: Implementing
End-to -End, Continuous AI and ML Pipelines
12 chapters
500 pages
Hundreds of code samples

29.
Additional resources
AWS Disaster Response
Learn more about AWS Disaster Response efforts
AWS Disaster Response Hackathon - Project Gallery
Browse the hackathon projects and code repos
Data Science on AWS
Learn how to get started with data science and AI/ML on AWS
Amazon SageMaker Studio Lab
Learn and experiment with ML using a no -setup, free development environment
github.com/data -science-on-aws/data -science-on-aws
youtube.datascienceonaws.com

30.
Thank you!
Antje Barth
@anbarth
antje-barth
Chris Fregly
@cfregly
cfregly