A workshop to encourage creative ideas how we can fight climate change, on various of different factors and aspects, using machine learning, technology and artificial intelligence.
2. Our Goal Today
Discover new ideas to harness
Technology and/or AI to fight
climate-change
● Understanding better the
different causes and factors of
Climate Change
● Understanding what AI can do
4. ● Climate Change Context 40min
- Past, Present, Future
- How can AI help?
● The power of crowd 20min
Let’s get to know each other
● Brainstorm 1.5h
There’s no smarter than all of us
● Solutions Presentations 1h
Agenda
5. ● Climate Change Context 40min
- Past, Present, Future
- How can AI help?
● The power of crowd 20min
Let’s get to know each other
● Brainstorm 1.5h
There’s no smarter than all of us
● Solutions Presentations 1h
Agenda
Past, Present, Future
6. Our Atmosphere
1824 - Joseph Fourier:
The greenhouse effect keeps earth cooler
1860 - John Tyndall:
Atmosphere gases absorb radiation
1896 - Svante Arrhenius:
- Low CO2 caused ice-age
- Coal burning warms the earth
7. The unforeseen future
1900 - 2 gigatonnes CO2 emissions
(1,000,000,000,000 kg)
1950 - a turning point
1975 - x3
2010 - x2
16. The world is changing
As the world population growth and modernized, we
→ Consume more energy + demanding more food supply
→ Increasing Agriculture (& deforestation)
→ More CO2, CH4, N2O in the atmosphere
Man-made greenhouse gas emissions in 2010 (% of total)
18. ● Travel less:
Reduce long-distance travels
● Reduce carbon impact
(Airplanes - contrail cirrus)
● Local production = less shipping
(Or use rail…)
Changing Transportation
Source: https://www.tmrow.com/climatechange
19. Change everything
Politics: Long term threat - short term policies
Money: Oil & Gas lobby
Doubt: Media, contribution of individuals
Source: Net-zero emissions energy systems - Davis et al.
20. Show me the money: the dark side
Coal supporters: 1.9 Trillion dollars since Paris Agreement
Fossil Banks - JPMorgan Chase, Wells Fargo, Citigroup, Bank of America, RBC…
Asset management - BlackRock
Insurance Companies
21. Stopping fossil-fuel importation
Biggest coal importers:
1. Japan: US$25.4 billion (16.7% of total coal imports)
2. India: $24.6 billion (16.2%)
3. China: $19.6 billion (12.9%)
4. South Korea: $16.5 billion (10.9%)
5. Taiwan: $8.1 billion (5.3%)
6. Netherlands: $5.9 billion (3.9%)
7. Germany: $5.7 billion (3.7%)
8. Turkey: $4.4 billion (2.9%)
9. Brazil: $3.4 billion (2.2%)
10. Malaysia: $3.2 billion (2.1%)
Source: http://www.worldstopexports.com/coal-imports-by-
country/
Top 5 countries - 62% of all total coal imports
Top 10 countries - 76.8%
Solution - use local green energy?
22. Show me the money - the green side!
Google - https://sustainability.google
Microsoft + Bill Gates Foundation
Public Benefit Corporations (PBC): Finsophy (banking solutions)
And many more...
Amazon? By 2040… Maybe.
23. Individual power - brain-wise
Stress & Fear → The limbic system:
“Towards” or “away”?
Over-arousal reduces available
resources for the prefrontal Cortex:
- Reduces Memory
- Poor judgement
24. Is it too late?
Reducing emissions vs
negative emissions
(mitigation)
25. 1. Reducing Emissions
a. Optimizing electricity systems
b. Replanning transportation
c. Improving buildings / industry energy consumptions
d. Farms & Forests
2. Preparing for consequences
a. Climate modeling
b. Disaster prediction & management
c. Societal & ecological impact
3. Alteration
a. Carbon sequestration
b. Climate engineering
Possibilities
28. Detecting trees and forest health using Computer Vision
IBM Green Horizons: Cognitive IoT (energy forecasting, air quality…)
Drone-based Greenhouse management - may be used on forests too?
Transforming CO2 into Fuel
Capturing Co2 from air
AI for green environment
29. AI for Cities, Buildings & Individuals
- Chabot - calculating my personal CO2 footprint + reduction advices
https://www.tmrow.com
- Recommendation system for reducing household energy consumption ( > €)
https://www.watttime.org
https://sense.com
- Smart Cities
- Mobility as a service
30. AI for Handling Disasters Consequences
● Climate modeling with modern tools (than Arrhenius’)
- Improving Climate Science
● Visualizing the Climate Change Consequences using GANs (Schmidt et al.) -
DeepFake can get GREEN!
31. ● Climate Change Context 40min
- Past, Present, Future
- How can AI help?
● The power of crowd 20min
Let’s get to know each other
● Brainstorm 1.5h
There’s no smarter than all of us
● Solutions Presentations 1h
Agenda
Glad to meet you!
33. ● Climate Change Context 40min
- Past, Present, Future
- How can AI help?
● The power of crowd 20min
Let’s get to know each other
● Brainstorm 1.5h
There’s no smarter than all of us
● Solutions Presentations 1h
34. ● Climate Change Context 40min
- Past, Present, Future
- How can AI help?
● The power of crowd 20min
Let’s get to know each other
● Brainstorm 1.5h
There’s no smarter than all of us
● Solutions Presentations 1h
Agenda
Now it’s your turn!
35. Sources
● Money Is the Oxygen on Which the Fire of Global Warming Burns
● The past, present and future of climate change
● Tackling Climate Change with Machine Learning
● NREL Analysis Explores Demand-Side Impacts of a Highly Electrified Future
● Climate Change What Everyone Needs
● How artificial intelligence will affect the future of energy and climate
● Climate Change - a pragmatic guide
● www.climatechange.ai
● A more potent greenhouse gas than carbon dioxide, methane emissions will leap as Earth warms
● Ecology of Greenhouse Gas Emissions from Coastal Wetlands
● Contrail cirrus radiative forcing for future air traffic