The Program
10:30
Keynote
Shaping liveable cities and regions: The smart city as a municipal task - Live translation available in English.
Renate Mitterhuber Smart Cities and Regions Division at the Federal Ministry of Housing, Urban Development and Building
Vita
Renate Mitterhuber leitet seit Dezember 2021 das Referat Smarte Städte und Regionen im Bundesministerium für Wohnen, Stadtentwicklung und Bauwesen. Davor war sie Leiterin des Referats „Bundesportal; Portalverbund; Geschäfts- und Koordinierungsstelle 115“ im Bundesministerium des Innern. Schwerpunkt war der Aufbau der digitalen Infrastruktur zur Umsetzung des Onlinezugangsgesetzes (OZG). Von Juni 2017 bis Oktober 2019 war Renate Mitterhuber Leiterin der Geschäftsstelle des IT-Planungsrats. Von 1991 bis 2017 war sie in der Freien und Hansestadt Hamburg tätig, zunächst in Stabsstellen im Bildungs- und im Finanzressort und seit 2001 im Bereich Digitalisierung. Sie war verantwortlich für die Hamburger E-Government- und IT-Strategie sowie u.a. am Aufbau des Hamburger Open Data Portals und des Transparenzportals beteiligt.
As part of Dataweek Leipzig, we cordially invite you to the keynote speech by the Federal Ministry of Housing, Urban Development and Building. The opening speech by Renate Mitterhuber will highlight the key role of the digital city in the practical implementation of urban development that is oriented towards the common good, productive and liveable. The focus will be on a current and practical insight into the federal government’s program for smart urban and regional development.
11:00
Keynote
Environmental research in a data-rich age - Live translation available in English.
Prof. Dr. Miguel D. Mahecha Institute for Earth System Science and Remote Sensing
Vita
Miguel Mahecha is Professor of Environmental Data Science and Remote Sensing at the University of Leipzig and the Remote Sensing Centre for Earth System Research. His main scientific interest is understanding ecosystem responses to climate extremes and human-environment relationships during climate extremes. He also works on understanding macro-ecological dynamics and ecosystem functioning. His research is based on data-driven methods and high-dimensional Earth observations. In recent years, he has co-developed the concept of the Earth System Data Cube, which combines empirical methods with theoretical understanding to understand complex interactions in the Earth system. Miguel Mahecha is a member of the German Centre for Integrative Biodiversity Research (iDiv) and PI in the Centre for Scalable Data Analytics and Artificial Intelligence. He is a Fellow of the European Laboratory for Learning and Intelligent Systems.
We live in a time in which many areas of our environment are continuously monitored by new sensors - on land, in the air and in the water. This generates huge amounts of data that make it possible to record environmental changes and the state of ecosystems almost in real time. At the same time, however, there are major data gaps. Contrary to expectations, reliable information on key environmental parameters such as biodiversity, tree health, tree mortality or water quality is often difficult to access. How can we close these gaps? Artificial intelligence (AI) methods offer new approaches to supplement missing knowledge. By training AI models with selectively collected ground measurements and widely available satellite data, they learn to recognize common patterns. This allows us to gain new insights into the state of our environment. In this talk, I will show how we at Leipzig University use AI methods to make previously hidden transformations in our ecosystems visible and our data interactive.
