4 papers
Births are difficult to predict even with rich survey and full-population register data
Elizaveta Sivak, Emily M. Cantrell, Thomas Emery +109
Major life events have proven difficult to predict. Does this reflect limits of theory, data, and algorithms, or the large role of chance? We examine one outcome - having a child w…
Embeddings of Nation-Level Social Networks
Tanzir Pial, Flavio Hafner, Dakota Handzlik +6
Full nation-scale social networks are now emerging from countries such as the Netherlands and Denmark, but these networks present challenging technical issues in working with large…
Population-Scale Network Embeddings Expose Educational Divides in Network Structure Related to Right-Wing Populist Voting
Malte Lüken, Javier Garcia-Bernardo, Sreeparna Deb +2
Administrative registry data can be used to construct population-scale networks whose ties reflect shared social contexts between persons. With machine learning, such networks can…
Empirical Privacy Evaluations of Generative and Predictive Machine Learning Models -- A review and challenges for practice
Flavio Hafner, Chang Sun
Synthetic data generators, when trained using privacy-preserving techniques like differential privacy, promise to produce synthetic data with formal privacy guarantees, facilitatin…