Algorithmic Life: Calculative Devices in the Age of Big Data

By Louise Amoore, V. Piotukh. 2015

98 citations recorded by the source corpus.

Subfields: Computer Science Applications, Safety Research, Sociology and Political Science

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Science Applications

1. Simon Schafheitle
2. Ulrich Leicht‐Deobald
3. Antoinette Weibel
4. Isabelle Wildhaber
5. Thorsten Busch
6. G. Kasper
7. C. Schank

In Safety Research

1. Simon Schafheitle
2. Ulrich Leicht‐Deobald
3. Antoinette Weibel
4. Isabelle Wildhaber
5. Thorsten Busch
6. G. Kasper
7. C. Schank

In Sociology and Political Science

1. Simon Schafheitle
2. Ulrich Leicht‐Deobald
3. Antoinette Weibel
4. Isabelle Wildhaber
5. Thorsten Busch
6. G. Kasper
7. C. Schank
8. G. Dietz

Citations in the corpus

• The Challenges of Algorithm-Based HR Decision-Making for Personal Integrity (2019, methodology): “Finally, the technical capability of algorithms to mean-ingfully analyze data has largely expanded (Amoore and Piotukh 2015; Ananny and Crawford 2018; Dourish 2016).”
• What are algorithmic cultures (2016, unknown): “First, there are those authors developing almost stand alone concepts: "the algorithmic turn" (Uricchio 20 II), "algorithmic ideology" (Mager 20 12), "algorithmic identity" (Cheney-Lippold 20 II), "algorithmic life" (Amoore and Piotukh 2016), and the like.”