(GreenDIA) Green Data, Indicators, Algorithms. Connecting Sustainable Finance and Smart Cities

GreenDIA investigates the technical infrastructures by which sustainability goals are operationalized, monitored and evaluated by indicators, focusing on land use in spatial planning, real estate and housing. The research project seeks to understand (1) how different actors envision sustainability and negotiate standards, (2) how they inscribe values and concepts into indicators and (3) which different effects on physical and spatial infrastructures and bio-physical dynamics these have. We highlight the problem of knowledge silos between different sectors involved in land, heat and energy use for buildings and (4) hope to develop tools and recommendations for creating transparent, precise and cross-sectoral indicators. GreenDIA connects the disciplines of land management and planning, sustainable finance policy, data science and earth observation. It collaborates with partners from public administration, finance and real estate and develops use cases that create new insights and tools for both researchers and partners by analysing, reconfiguring, and refining data sets, indicator design or data management practices as well as data governance.
GreenDIA is an interdisciplinary consortium research project with three partners. The Chair for Land Management (Prof. Walter de Vries, TUM), Chair for Remote Sensing (Prof. Michael Schmitt, Uni BW) and Chair for Data Science & Statistics in the Humanities (Prof. Frauke Kreuter, LMU). It is funded by the Bavarian Research Institute for Digital Transformation (bidt) of the Bavarian Academy of Sciences. More info: www.bidt.digital/forschungsprojekt/daten-indikatoren-und-algorithmen-der-nachhaltigkeit-zur-verbindung-von-smart-cities-und-green-finance/