# data[].attributes.body
global, focus Austria

# data[].attributes.headline
What are main climate change-related hazards?

# data[].attributes.subject
What are main climate change-related hazards?

# data[].attributes.body
global, focus Austria

# data[].attributes.body
global, focus Austria

# data[].attributes.body
focus cc adaptation, Disaster risk reduction (climate change-related hazards)

# data[].attributes.headline
How are adaptation measures implemented? Who are stakeholders / institutions? 

# data[].attributes.subject
How are adaptation measures implemented? Who are stakeholders / institutions? 

# data[].attributes.body
How does urban planning and natural hazard management work (focus Austria)?

# data[].attributes.body
Describe:

Key concepts / definitions

Past trends and future scenarios / pathways

Knowledge status - what is the state of the art (globally, focus Austria)

What are the knowledge gaps? What do we not know (yet)?

# data[].attributes.body
For the next session on 7th of May (please bring your laptop)

Prepare a 10 Minute (max. 15 minute) presentation

in powerpoint

[! each and every member of the group needs to be able to present everything!]

And write a short summary of your findings [please use references and complete list of references!]

max. 5 pages (graphs and figures, if useful, highly welcome)

# data[].attributes.headline
Experts, please collect your keywords and ideas

# data[].attributes.subject
Experts, please collect your keywords and ideas

# data[].attributes.headline
Experts, please collect your keywords and ideas

# data[].attributes.subject
Experts, please collect your keywords and ideas

# data[].attributes.headline
Experts, please collect your keywords and ideas

# data[].attributes.subject
Experts, please collect your keywords and ideas

# data[].attributes.headline
Experts, please collect your keywords and ideas

# data[].attributes.subject
Experts, please collect your keywords and ideas

# data[].attributes.headline
Experts, please collect your keywords and ideas

# data[].attributes.subject
Experts, please collect your keywords and ideas