Bi Project Policy Area: Administration

Organisation: Ontario Public Service (OPS)

The Ontario Public Service (OPS) is committed to promoting employment equity. Collecting sociodemographic data from employees will help the OPS better understand how different demographic groups are represented in the workforce and progress through their careers. However, recent initiatives to promote the voluntary submission of sociodemographic data through the OPS Human Resources portal (known as WIN) has had lower uptake than desired, reducing the quality of this data for decision-making…

Institution: Ontario Public Service (OPS)

Team: Ontario Behavioural Insights Unit

Organisation: Gemeente Amsterdam

Organisation: Other

SIMPLESMENTE is an acronym formed by the initials of 12 mechanisms studied by the behavioral sciences. SIMPLESMENTE is an application to simplify and support the use of behavioral sciences in public policy designs. Based on a guided script, users define a problem of interest in public policies and are encouraged to assume the user's perspective. They are invited to apply a series of references, based on evidence and international practice, to improve their understanding of the situation and…

Institution: National School of Public Administration - ENAP

Team: The Innovation Lab

Organisation: National School of Public Administration - ENAP

Organisation: BEworks

The overall purpose of the study is to facilitate and execute graphic design work and consumer testing regarding the pan-European Personal Pension Product (PEPP) Key Information Document (KID) and Benefit Statement (BS) in three Member States. We will use mix behavioural methods to understand relevant behavioural biases, and why consumers find certain aspects of information related to pension products difficult to understand, and how to overcome those difficulties.

Institution: Open Evidence

Team: Open Evidence

Organisation: Local Government Association

Behavioural Additionality & Spillovers in the R&DTI Background This project aimed to understand the behavioural additionality effects of the R&DTI via a series of user interviews with companies currently engaged in R&D (including those participating and not participating in the R&DTI). Behavioural additionality goes beyond the traditional view of R&D additionality, which typically focuses on quantitative increases in inputs and outputs. Instead, behavioural additionality considers wider,…

Institution: Department of Industry, Science, Energy & Resources (Australia)

Team: Policy Lab