Worldwide, scholars and public institutions are embracing behavioural insights to improve public policy. Multiple frameworks exist to describe the integration of behavioural insights into policy, and behavioural insights teams (BITs) have specialised in this. Yet, it often remains unclear how these frameworks can be applied and by whom. Here, we describe and discuss a comprehensive framework that describes who does what and when to integrate behavioural insights into policy. The framework is informed by relevant literature, theorising, and experience with one BIT, the Behavioural Insights Group Rotterdam. We discuss how the framework helps to overcome some challenges associated with integrating behavioural insights into policy (an overreliance on randomised control trials, a limited understanding of context, threats to good scientific practice, and bounded rationality of individuals applying behavioural insights).

Illegal garbage disposals are a persistent urban problem, resulting in high clean-up costs, and nuisance and decreased satisfaction with the neighborhood among residents. We compared three adjacent city-areas in Rotterdam in the Netherlands which, for 2 weeks, either: (1) no action to decrease illegal garbage disposals was taken; (2) standard door-to-door canvassing was carried out; or (3) door-to-door canvassing was enriched with several nudges, most importantly a commitment-nudge. The nudge treatment proved highly effective, reducing illegal disposals at post-test and follow-up (2 months later) with two-thirds, resulting in a very large effect size (d = 2.60). At post-test, standard door-to-door canvassing did not differ from the control treatment, but at follow-up results were comparable to the nudging-treatment. This could, however, be due to spill-over effects. Using a commitment nudge thus proved highly effective in decreasing illegal garbage disposals, however, effects might be specific to neighborhoods with strong social cohesion.

Debtors were stimulated to contact their creditors to negotiate a repayment plan. Contacting creditors was important because debtors were unlikely to repay the debt immediately and upon contacting, debtors could agree on a repayment plan to repay the debt in the long run. Using insights from scarcity theory and nudging techniques, a standard debt repayment letter was adapted and both letters were compared. Experimental results (N = 3,330) provide support for the use of nudging techniques as more debtors agreed on a repayment plan and response rates increased. The results underline the importance of stimulating debtors to contact their creditors.

Background Examining the correlates of adolescent’s physical activity (PA) and how they may differ according to the intersection of gender and family socioeconomic status (SES) can support the development of tailored interventions to more effectively promote adolescents’ PA. This study explored how the associations between psychosocial, behavioural and environmental factors and adolescent’s PA differed according to gender and family SES. Methods This study used data from the Dutch Youth Health Survey 2015. Adolescents (n = 9068) aged 12–19 were included in the study. The associations between psychosocial, behavioural, and environmental factors and PA (days per week engaging in at least one hour of PA) were examined with multilevel linear regression analysis. Potential interactions between these correlates, gender and family SES were explored. Results On average, adolescents engaged in at least one hour of PA for 4,2 days per week. Poor self-perceived health, low peer social support, and a weak connection with the environment were all associated with lower PA in adolescents. Daily smoking, cannabis use, risk of problematic gaming and social media use, as well as lack of daily consumption of fruit, vegetables, water and breakfast were associated with lower PA, whereas binge drinking was not. Interactions revealed that poor self-perceived health was associated with lower PA in adolescents from moderate- and high-SES families, but not in low-SES adolescents, whereas cannabis use was only associated with lower PA amongst low-SES adolescents. Low peer social support was associated with lower PA across all groups, but it was most strongly associated with lower PA amongst male adolescents from low-SES families than in other subgroups. Amongst low-SES males, low peer social support was associated with a 1.47 reduction in days engaging in sufficient PA, compared with a 0.69 reduction for high-SES males. Conclusions This study identified several psychosocial, behavioural and environmental factors that can be targeted to potentially increase adolescent’s PA. We also found that correlates of PA differed according to the intersection of gender and family SES. Our findings suggest that PA interventions should be tailored according to gender and SES to address the specific needs, barriers and facilitators of different subgroups.

Behavioral insights teams (BITs) employ behavioral experts and policy professionals to collaboratively improve public policy. Most evaluations of BITs focus on the interventions that BITs develop, but not the functioning of BITs. Here, we report the first comprehensive evaluation of a BIT, the Behavioral Insights Group Rotterdam. We investigate how its resources were used, for what activities, with what outputs, and to which effects. Using quantitative and qualitative methods, we derive nine propositions to describe and improve the integration of behavioral insights into public policy and administration.