Show notes
Data collected with and on digital devices make new phenomena, objects, and behaviors visible to those with access to that data. Digital technology has extended the amount and depth of data on human behavior and social systems. This has been seen by some as a measurement revolution for the social sciences and as providing many new avenues to knowledge as well as new business opportunities. Still, these data riches have to be translated into meaningful measures of phenomena of interest and society. Without meaningful interpretation these new data remain noise machines, potentially even hiding the signal one is looking for in order to gain understanding or improvement.Chapters:00:00 - Introduction00:21 - Data and algorithms in society04:17 - Data and measurement08:37 - Big data14:10 - Data and control19:46 - Metrics24:53 - ConclusionScript to episode with references and further readings:http://digitalmedia.andreasjungherr.de/docs/data-algos/data-algos_intro.html