Fragile Families Challenge

Princeton Professor Matt Salganik discusses the Fragile Families Challenge. Link to slides: https://github.com/compsocialscience/... Links to other materials discussed in this video are below. Link to articles and websites: 1. Bit by Bit book: https://www.bitbybitbook.com/ 2. Measuring the Predictability of Life Outcomes with a Scientific Mass Collaboration: https://www-pnas-org.proxy.lib.duke.e... 3. Initial sequencing and analysis of the human genome: http://dx.doi.org/10.1038/35057062 4. Combined Measurement of the Higgs Boson Mass in pp Collisions: https://doi.org/10.1103/PhysRevLett.1... 5. Machine Learning: An Applied Econometric Approach (Mullainathan and Spiess 2017): https://dx.doi.org/10.1257/jep.31.2.87 6. Can an Algorithm Tell When Kids are in Danger: https://www.nytimes.com/2018/01/02/ma... 7. What failure to predict life outcomes can teach us: https://doi.org/10.1073/pnas.2003390117 8. Socius special issue: https://journals.sagepub.com/topic/co... 9. Privacy, ethics, and data access: A case study of the Fragile Families Challenge: https://doi.org/10.1177/2378023118813023 10. Improving metadata infrastructure for complex surveys: Insights from the Fragile Families Challenge: https://doi.org/10.1177/2378023118817378 11. Successes and struggles with computational reproducibility in the Fragile Families Challenge: https://doi.org/10.1177/2378023119849803