Council Insights Heidelberg - Data Analytics on Council Work using LLM
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Team Name |
Council Insights Heidelberg |
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Track |
Public Sector |
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Use Case |
Implementing Lage Language Models LLM for a strong Democracy |
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Technology |
SAS Viya Model Manager, Intelligent Decisioning, Visual Text Analytics, Visual Analytics, Python, LLM, NLP, SAS Viya |
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Region |
Heidelberg, Germany |
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Team lead |
Benjamin Gärtner @benj_gaertner |
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Team members |
Stephan Frenzel, Ahsan Ali, Maria Shcheglova, Christoph Blattgerste (Student), Harsh Patel (Student) , Silvio Martin (Scientific Staff, KIT), Lutz Berger, Ian Doig, Slava Kuliger, Stephan Verclas, Patrik Bannholzer, Andreas Koch, Sebastian Warkentin, Maik Röder |
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Social media handles |
See the team's LinkedIn Page specific for the #SASHackathon: https://www.linkedin.com/company/hack-team-heidelberg/posts/?feedView=all |
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Is your team interested in participating in an interview? |
yes |
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Optional: Expand on your technology expertise |
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============== |
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Plan |
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Motivation |
Our aim is to improve the transparency and accessibility of the work of Heidelberg Municipal Council. We want to enable citizens, the press and other interested parties to find out quickly and easily about the resolutions and activities of the local council. By visualizing and better presenting the work of the committees, we can strengthen citizens' commitment and trust in local government.
Analysis of strategies
We would like to compare the strategic objectives of the city of Heidelberg with the activities and resolutions of the municipal council in order to identify specific resolutions that contribute to the implementation of strategic objectives.
Relevant strategies can be strategies developed by the city of Heidelberg, such as the Heidelberg Biodiversity Strategy, as well as strategies that are valid nationwide, such as the practical guide ‘Climate Protection in Municipalities’ from the German Institute of Urban Studies.
Possible outputs
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