Responsible Data Science

Chalmers AF (2013) What is this thing called science? An assessment of the nature and status of science and its methods. McGraw Hill, New York

Dwork C (2011) A firm foundation for private data analysis. Commun ACM 54(1):86–95

Gordon B, Zettelmeyer F, Bhargava N, Chapsky D (2016) A comparison of approaches to advertising measurement: evidence from big field experiments at facebook. White paper, Kellog School of Management, Northwestern University, Evanston

Hilbert M, Lopez P (2011) The world’s technological capacity to store, communicate, and compute information. Science 332(6025):60–65

James J (2016) Domo blog: data never sleeps 4.0. https://www.domo.com/blog/data-never-sleeps-4-0/ . Accessed 11 June 2017

Manyika J, Chui M, Brown B, Bughin J, Dobbs R, Roxburgh C, Byers A (2011) Big data: the next frontier for innovation, competition, and productivity. McKinsey Global Institute, New York

Mayo DG (1996) Error and growth of experimental knowledge. University of Chicago Press, Chicago

Responsible Data Science Initiative (2016) Responsible data science. http://www.responsibledatascience.org/ . Accessed 11 June 2017

van der Aalst W (2016a) Green data science: using big data in an “environmentally friendly” manner. In: Camp O, Cordeiro J (eds) Proceedings of the 18th international conference on enterprise information systems (ICEIS 2016), Science and Technology Publications, pp 9–21

van der Aalst W (2016b) Process mining: data science in action. Springer, Heidelberg

White House (2016) Artificial intelligence, automation, and the economy. (Report released by the Executive Office of the President in December 2016). https://obamawhitehouse.archives.gov/sites/whitehouse.gov/files/documents/Artificial-Intelligence-Automation-Economy.pdf . Accessed 11 June 2017