{"title":"Behavioural Insights and Public Policy in Canada","authors":"Vincent Hopkins, A. Lawlor","doi":"10.1017/S0008423923000100","DOIUrl":null,"url":null,"abstract":"Abstract Much of political science rests on assumptions about how policy makers and citizens behave. However, questions remain about how public policy can improve the government–citizen relationship. In this research note, we present behavioural insights (BI) as one way to address this gap. First, we argue that BI can be strategically used both to alleviate administrative burdens and to enhance citizen experience. Second, we argue that BI interventions can assist in several stages of the policy process, strengthening causal inferences about policy efficacy. Third, we present original data from Canada's ongoing experimentation with BI across multiple jurisdictions and areas of public policy. We conclude by acknowledging the myriad pathways through which BI research can engage with public policy to support the enhancement of citizen-oriented service delivery.","PeriodicalId":9491,"journal":{"name":"Canadian Journal of Political Science","volume":"15 1","pages":"435 - 450"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Canadian Journal of Political Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1017/S0008423923000100","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract Much of political science rests on assumptions about how policy makers and citizens behave. However, questions remain about how public policy can improve the government–citizen relationship. In this research note, we present behavioural insights (BI) as one way to address this gap. First, we argue that BI can be strategically used both to alleviate administrative burdens and to enhance citizen experience. Second, we argue that BI interventions can assist in several stages of the policy process, strengthening causal inferences about policy efficacy. Third, we present original data from Canada's ongoing experimentation with BI across multiple jurisdictions and areas of public policy. We conclude by acknowledging the myriad pathways through which BI research can engage with public policy to support the enhancement of citizen-oriented service delivery.