The recently launched Global Flourishing Study is a longitudinal research study being carried out in collaboration between scholars at the Human Flourishing Program at Harvard's Institute for Quantitative Social Science, Baylor’s Institute for Studies of...
Clinical decision support systems increasingly rely on machine learning (ML) models to recommend courses of action. As a result, these systems have the potential to exacerbate inequities in healthcare allocation and disadvantage historically and...
Given the scientific publications in a field, we are interested in using bibtex and citation data to estimate (a) the primary research areas in this field, (b) the research interests of individual authors (which may evolve with time), and (c) the...
Reinforcement Learning provides an attractive suite of online learning methods for personalizing interventions in a Digital Health. However after an reinforcement learning algorithm has been run in a clinical study, how do we assess whether...
Higher education can be a double-edged sword in shaping the black-white earnings gap. It may serve as an equalizer, if black youth benefit more from attending and completing college than white youth. It may also reinforce racial inequality, given that...
Many empirical questions concern target parameters selected through optimization. For example, researchers may be interested in the effectiveness of the best policy found in a randomized trial, or the best-performing investment strategy based on...
Target trials are RCTs one would like to conduct but cannot for ethical, financial, and/or logistical reasons. As a consequence, we must emulate such trials from observational data. A novel aspect of target trial methodology is that, for purposes of data...
Algorithmic recommendations and decisions have become ubiquitous in today's society. Many of these and other data-driven policies are based on known, deterministic rules to ensure their transparency and interpretability. This is especially true when such...
Differential privacy (DP) brings provability and transparency to statistical disclosure limitation. When data users migrate their analysis onto private data products, there is no guarantee that a statistical model, otherwise suitable for non-private data...
The nonparametric potential outcome system provides a foundational framework for giving conditions under which common predictive time series statistical estimands, such as the impulse response function, generalized impulse response function, local...
