| 71 | -- | 72 | Solon Barocas, Danah Boyd, Sorelle A. Friedler, Hanna M. Wallach. Social and Technical Trade-Offs in Data Science |
| 73 | -- | 84 | Marina Drosou, H. V. Jagadish, Evaggelia Pitoura, Julia Stoyanovich. Diversity in Big Data: A Review |
| 85 | -- | 97 | Gina Neff, Anissa Tanweer, Brittany Fiore-Gartland, Laura Osburn. Critique and Contribute: A Practice-Based Framework for Improving Critical Data Studies and Data Science |
| 98 | -- | 119 | Galit Shmueli. Research Dilemmas with Behavioral Big Data |
| 120 | -- | 134 | Brian D'Alessandro, Cathy O'Neil, Tom LaGatta. Conscientious Classification: A Data Scientist's Guide to Discrimination-Aware Classification |
| 135 | -- | 152 | Bettina Berendt, Sören Preibusch. Toward Accountable Discrimination-Aware Data Mining: The Importance of Keeping the Human in the Loop - and Under the Looking Glass |
| 153 | -- | 163 | Alexandra Chouldechova. Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments |
| 164 | -- | 172 | Elana Zeide. The Structural Consequences of Big Data-Driven Education |