Big Data (03:13)
We produce nearly 2.5 million terabytes of data per day. Directors Pina and Jakob want to find out if our entire lives have become computable. They will allow computer experts from the Fraunhofer Institute full access to their smartphone data to see if they can predict their future behavior.
Predictive Analytics (03:59)
Pina and Jakob will use a Google Glass; algorithms will analyze their data. Jakob travels to San Francisco, CA. Police use predictive analytics to prevent crime. Computer specialist George Mohler explains the program of predictive policing.
Using PredPol (03:08)
Santa Cruz police officers focus on three or four critical areas; criminal gangs commit most of the city's crimes. Mohler states that research indicates certain crimes are contagions. Officer Steve Clark discusses crime statistics with the use of PredPol.
Pattern Finder (03:25)
Mathematician Cynthia Rudin works on a program to predict crimes; she compares it to "Minority Report." The Cambridge police department hopes to incorporate the program into daily activities. Evgeny Morozov criticizes the underlying assumption of systems that rely on predictive analytics.
Predictability of Humankind (02:36)
Computer experts receive Jakob and Pina's first sets of data. Retailers use predictive analytics to forecast consumer behavior. The digitization of society makes Big Data possible.
Google and the Swiss Federal Institute of Technology (03:51)
Google has saved all search queries since 1998. Google Flu Trends counts the frequency of specific search terms to predict a flu epidemic; scientists criticize the data. Researchers in Zurich use a different approach to predicting epidemics.
Latest Health Trends (02:43)
Rachel Kalmar believes better understanding of activity patterns can help create predictive models for early disease detection and tries to find ways to prevent depression. Experts reflect on self-tracking and health care.
Self-Tracking Psyche (03:00)
A smartphone may be able to predict depression. Psychiatrist Thomas Schlapfer discusses the changing parameters in depression; Pina will test the app for two months. Experts reflect on the impact of data collected and question data parameters.
Predictive Analytics: Big Business (03:15)
Computer scientists analyze the data quality collected from Pina and Jakob. Kaggle founder Anthongy Goldbloom explains what he loves about data. Learn some of the concepts behind Kaggle.
Kaggle Champion (02:18)
Josef Feigl is one of Kaggle's top 10 programmers. He discusses working with real data in algorithms.
95% Predictability Success (02:39)
Algorithms cannot predict singular events. Experts consider the probability, reality, and randomness of algorithms, and the ethics involved with crime prediction and prevention.
Searching for Recurring Events (04:02)
Computer experts begin their analysis of Jakob and Pina's data. Jakob speaks to a programmer who creates an algorithm to predict the outcome of hockey games.
"Nostradamus of the Digital Age" (03:46)
Recorded Future claims it can predict the fate of individuals, groups, and nations. Experts consider data analysts' motivation.
Depression App Results (02:00)
Dr. Schlapfer analyzes the data from Pina's smartphone app.
Pina and Jakob's Data Analysis (03:09)
Computer experts reveal that the algorithm failed in Jakob's case. Pina's data revealed fixed patterns and rhythms in her weekly routine.
Reach of Silicon Valley (02:37)
Computer analysts can learn as much about us as our friends by looking at our data. Algorithms will never predict with 100% certainty. Experts reflect on our willingness to trust algorithms and their possible threats, and shaping society.
Credits: Mapping the Future: The Power Of Algorithms (00:30)
Credits: Mapping the Future: The Power Of Algorithms
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