Quotation Klinger, Stephan, Gross-Söchstl, Marlis. 2021. Readings from the Book of Humankind: Data and Environment. PiConf 2021, Digital, Malta, 29.10.-30.10.




This contribution is linked to PIConf 2020 "Book of Humankind" presentation; whereas the term "Book of Humankind" stands for the mass of unstructured data that is unconciously produced by modern lifestyle. This data could help us to understand network complexity and derive alternative courses of action. The base line will show possibilities of searching for structure in ‘messy’ (i.e. not organized and cleaned) data. Cukier and Mayer-Schoenberger (2013) described practical cases in business and public administration where big data was used to streamline processes and discover correlations that could not be fully explained using causal connextions. Their reports boil down to a baseline where the search for correlations could put humans in a situation, where they solved their problems in a much better way – compared to the search for causal connections. This years contribution is focusing on publicly available data about the environment and is going to draw instructive pictures about correlations found in this data. In the debate on climate change for example we focus on the growth curves of temperature and carbon dioxide that show exponential growth. When modeling further variables we will see that a lot of other elements that reflect the spreading of modern life show exponential growth curves as well. Furthermore we are going to present correlations representing raw material extraction, production and logistic processes worldwide (ressources, consumption, waste) and try to derive pictures for our "Book of Humankind" from that.


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Paper presented at an academic conference or symposium
Language English
Title Readings from the Book of Humankind: Data and Environment
Event PiConf 2021
Year 2021
Date 29.10.-30.10.
Country Malta
Location Digital
URL https://piconf.net/


Klinger, Stephan (Details)
Gross-Söchstl, Marlis (Risikomanagerin, Austria)
Institute for Slavic Languages IN (Details)
Institute for Human Resource Management IN (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
5208 Company law (Details)
5274 Capital market legislation (Details)
5333 Business management (Details)
5352 Human resource management, personnel management (Details)
5924 Environmental economics (Details)
6101 General philosophy (Details)
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