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The purpose of this paper is three-fold. Firstly, through selected case studies, to provide an overview of how non-traditional data from digital public services were used as a source of knowledge for policymaking. Secondly, to argue for a design for policy approach to support the successful integration of non-traditional data into policymaking practice, thus supporting data-driven innovation for policymaking. Thirdly, to encourage a vision of the relation between data-driven innovation and public policy that considers policymaking outside the authoritative instrumental logic perspective.

A qualitative small-N case study analysis based on desk research data was developed to provide an overview of how data-centric public services could become a source of knowledge for policymaking. The analysis was based on an original theoretical-conceptual framework that merges the policy cycle model and the policy capacity framework.

This paper identifies three potential areas of contribution of a design for policy approach in a scenario of data-driven innovation for policymaking practice: the development of sensemaking and prefiguring activities to shape a shared rationale behind intra-/inter-organisational data sharing and data collaboratives; the realisation of collaborative experimentations for enhancing the systemic policy analytical capacity of a governing body, e.g. by integrating non-traditional data into new and trusted indicators for policy evaluation; and service design as approach for data-centric public services that connects policy decisions to the socio-technical context in which data are collected.

The small-N sample (four cases) selected is not representative of a broader population but isolates exemplary initiatives. Moreover, the analysis was based on secondary sources, limiting the assessment quality of the real use of non-traditional data for policymaking. This level of empirical understanding is considered sufficient for an explorative analysis that supports the original perspective proposed here. Future research will need to collect primary data about the potential and dynamics of how data from data-centric public services can inform policymaking and substantiate the proposed areas of a design for policy contribution with practical experimentations and cases.

This paper proposes a convergence, yet largely underexplored, between the two emerging perspectives on innovation in policymaking: data for policy and design for policy. This convergence helps to address the designing of data-driven innovations for policymaking, while considering pragmatic indications of socially acceptable practices in this space for practitioners.

Despite the title of this bibliography, there was not a truly underground press in the United States during the 1960s and 1970s. The phrase is amisnomer, reputedly coined on the spur of the moment in 1966 by Thomas Forcade when asked to describe the newly established news service, Underground Press Syndicate, of which he was an active member. The papers mentioned in this bibliography, except for the publications of the Weather Underground, were not published by secretive, covert organizations. Freedom of the press and of expression is protected by the First Amendment to the Constitution, although often only symbolically as the experience of the undergrounds will show, and most of the publications that fall into the “underground” described herein maintained public offices, contracted with commercial printers, and often used the U.S. Postal Service to distribute their publications.

While evidence-based parenting interventions (EBPIs) are proven effective at addressing numerous emotional and behavioral health challenges for children and youth, and reduce rates of child maltreatment, they are often not well implemented in the real-world settings. Even with the state-of-the art training, many practitioners do not deliver the intervention, or do so at a reduced capacity. The purpose of this paper is to examine system-contextual implementation factors that predict timely initiation of use of an EBPI (i.e. within the first six months following training). A secondary purpose is to document additional impacts of training.

Repeated measures were used to collect predictors and the dependent variable. The relationship between participant characteristics and use of the Triple P program was estimated using exact logistic regression.

The results from 37 practitioners across three communities indicated approximately 54 percent delivered the intervention with at least one family within the first six months following training. Practitioner self-efficacy immediately following training and general attitudes toward evidence-based practices were the most significant predictors of timely use of the model. The vast majority of practitioners, regardless of implementation status, generalized learning from the training to other aspects of their work.

Prospective examination of the predictive value of implementation factors helps to refine targeted approaches to support implementation.

Participatory design involves users and other key stakeholders in processes that aim to ensure solutions generated meet their needs. This paper compares the processes and outcomes of two participatory design approaches (design thinking and co-design) to examine their utility in co-creating innovative service solutions for reducing household energy demand.

Design thinking and co-design were implemented in two independent convenience samples of household energy users in Queensland, Australia. Workshops were conducted online using Zoom and Padlet technology. Informed by the capability-practice-ability (CPA) portfolio, a critical analysis based on the research team's experiences with implementing the two participatory design approaches is presented.

The key distinguishing features that set design thinking apart from co-design is extent of user involvement, solution diversity and resource requirements. With a shorter duration and less intensive user involvement, co-design offers a more resource efficient means of solution generation. In contrast, design thinking expands the solution space by allowing for human-centred problem framing and in so doing gives rise to greater diversity in solutions generated.

Mapping the six constellations of service design outlined in the CPA portfolio to the research team's experiences implementing two different participatory design approaches within the same context reconciles theoretical understanding of how capabilities, practices and abilities may differ or converge in an applied setting.

Understanding the benefits and expected outcomes across the two participatory design approaches will guide practitioners and funding agencies in the selection of an appropriate method to achieve desired outcomes.

This paper compares two forms of participatory design (design thinking and co-design) for service innovation in the context of household energy demand offering theoretical and practical insights into the utility of each as categorised within the CPA portfolio.

This study aims to evaluate and investigate the existing process of establishing a banking relationship with politically exposed persons.

This study used qualitative techniques of semi-structured interviews with senior compliance officers of financial institutes in Pakistan.

This study found that the existing mechanism of identification and verification of politically exposed persons (PEPs) is ineffective. Financial institutes face challenges like the quality of name screening data sets, cost of identification and verification, role and control of the regulator, the influence of politically exposed persons, the opaqueness of laws and international connections of the politically exposed persons. Further, financial Institutes are burdened by regulators to perform robust PEP customer due diligence but do not guide and provide the right tools.

This paper aims to find challenges faced by financial institutes before onboarding the PEPs. Further, very limited studies on this topic have been conducted in Pakistani context.