| 127 | -- | 129 | Vasant Dhar. The Scope and Challenges for Deep Learning |
| 130 | -- | 137 | John J. Horton, Prasanna Tambe. Labor Economists Get Their Microscope: Big Data and Labor Market Analysis |
| 138 | -- | 147 | Arash Barfar, Balaji Padmanabhan. Does Television Viewership Predict Presidential Election Outcomes? |
| 148 | -- | 158 | Andrey Bogomolov, Bruno Lepri, Jacopo Staiano, Emmanuel Letouzé, Nuria Oliver, Fabio Pianesi, Alex Pentland. Moves on the Street: Classifying Crime Hotspots Using Aggregated Anonymized Data on People Dynamics |
| 159 | -- | 172 | Atoshum Cahsai, Christos Anagnostopoulos, Peter Triantafillou. Scalable Data Quality for Big Data: The Pythia Framework for Handling Missing Values |
| 173 | -- | 188 | Okan Azmak, Hannah Bayer, Andrew Caplin, Miyoung Chun, Paul Glimcher, Steven E. Koonin, Aristides Patrinos. Using Big Data to Understand the Human Condition: The Kavli HUMAN Project |
| 189 | -- | 192 | Kenneth M. Langa, David Cutler. Opportunities for New Insights on the Life-Course Risks and Outcomes of Cognitive Decline in the Kavli HUMAN Project |
| 193 | -- | 197 | Adam Drewnowski, Ichiro Kawachi. Diets and Health: How Food Decisions Are Shaped by Biology, Economics, Geography, and Social Interactions |
| 198 | -- | 202 | Laura J. Bierut, David Cesarini. How Genetic and Other Biological Factors Interact with Smoking Decisions |
| 203 | -- | 208 | Dennis Ausiello, Scott Lipnick. Real-Time Assessment of Wellness and Disease in Daily Life |