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In response to a burgeoning pediatric mental health epidemic, recent guidelines have instructed pediatricians to regularly screen their patients for mental health disorders with consistency and standardization. Yet, gold-standard screening surveys to evaluate mental health problems in children typically rely solely on reports given by caregivers, who tend to unintentionally under-report, and in some cases over-report, child symptomology. Digital phenotype screening tools (DPSTs), currently being developed in research settings, may help overcome reporting bias by providing objective measures of physiology and behavior to supplement child mental health screening. Prior to their implementation in pediatric practice, however, the ethical dimensions of DPSTs should be explored. Herein, we consider some promises and challenges of DPSTs under three broad categories: accuracy and bias, privacy, and accessibility and implementation. We find that DPSTs have demonstrated accuracy, may eliminate concerns regarding under- and over-reporting, and may be more accessible than gold-standard surveys. However, we also find that if DPSTs are not responsibly developed and deployed, they may be biased, raise privacy concerns, and be cost-prohibitive. To counteract these potential shortcomings, we identify ways to support the responsible and ethical development of DPSTs for clinical practice to improve mental health screening in children. 

Despite clear evidence of a sharp income gradient in voting participation, it remains unclear whether income truly causes voting. In this article, we investigate how exogenous increases in unearned income affect voting in U.S. elections for two generations (parents and children) from the same household. In contrast to predictions made by current models of voting, we find the income shock had no effect on parents’ voting behaviors. However, we also find that increasing household income has heterogeneous effects on the civic participation of children from different socioeconomic backgrounds. It increases children’s voting propensity among those raised in initially poorer families—resulting in substantially narrowed participatory gaps. Our results are consistent with a more nuanced view of how individual resources affect patterns of voting than the dominant theoretical framework of voting—the resource model—allows. Voting is fundamentally shaped by the human capital accrued long before citizens are eligible to vote.