The format presents Smart City innovations and best practices from business, administration and science. Each Network Talks event is curated by a member of the SCS Advisory Board. This gives a company, organisation or municipality the opportunity to present Smart City solutions and approaches from their day-to-day business.
The 3rd SCS Network Talks are presented in cooperation with TreesAI. TreesAI is an initiative by the non-profit and creates the necessary infrastructure to support cities and municipalities in financing urban trees and green spaces.
We will zoom in on location-based green infrastructure. The speakers will present their research and practical projects on building, protecting and expanding nature-based solutions in cities. The panelists will talk about their civil society and political engagement and share their ideas on how urban societies can improve climate resilience in cities and distribute costs and benefits equitably.
All current and former lecturers, students and alumni, members of the advisory board of the Master's programme Smart City Solutions are welcome to attend the network events. We are also particularly looking forward to the participation of students and lecturers from the Stuttgart University of Applied Sciences and, of course, to everyone who shares our enthusiasm for solutions for smart cities.
Join us, learn and discuss with us how cities are "Implementing location-based green infrastructure" from projects in the cities Linz and Stuttgart.
Lectures
Trees-as-infrastructure: From Location-based Scoring to Urban Nature Financing
Sebastian Klemm, Trees-as-Infrastructure, Dark Matter Labs
Adaptation to climate change on site level, the case of Linz
Prof. Dr. Jürgen Breuste, Uni Salzburg
Panel discussion with statements from
Caroline Paulick-Thiel, Politics for Tomorrow
Hanka Griebenow, Superblock West Stuttgart
Dr. Sebastian Karl, Die Grünen Stadtrat Stuttgart
Location
Hochschule für Technik
Breitscheidstrasse 5
Building 8 | Aula | First floor
Language
English
Registration
not necessary