Contemporary governance is increasingly characterized by the consultation of different types of stakeholders, such as interest groups representing economic and citizen interests, as well as public... Show moreContemporary governance is increasingly characterized by the consultation of different types of stakeholders, such as interest groups representing economic and citizen interests, as well as public and private institutions, such as public authorities and firms. Previous research has demonstrated that public officials use a variety of tools to involve these actors in policymaking. Yet, we have limited knowledge on how particular consultation approaches relate to stakeholder participation. To what extent do open, closed and hybrid consultation approaches, with the first two, respectively, referring to the use of public and targeted tools, and the third one implying a combination of both of them, relate to the policy engagement of a different set of stakeholders? In this paper, we identify the different tools used by the European Commission to engage stakeholders in policymaking and assess how variation in consultation approaches relates to stakeholder participation via a descriptive and multivariate analysis. We rely on two datasets: a regulatory database that contains detailed information on 41 EU regulations and a stakeholder database that comprises 2617 stakeholders that were involved in these regulations through different consultation tools. Our main finding is that implementing different consultation approaches affects stakeholder diversity. Specifically, closed consultation approaches lead to a lower level of business dominance than hybrid approaches that combine open and targeted consultation tools. Show less
Policy and data scientists have paid ample attention to the amount of data being collected and the challenge for policymakers to use and utilize it. However, far less attention has been paid... Show morePolicy and data scientists have paid ample attention to the amount of data being collected and the challenge for policymakers to use and utilize it. However, far less attention has been paid towards the quality and coverage of this data specifically pertaining to minority groups. The paper makes the argument that while there is seemingly more data to draw on for policymakers, the quality of the data in combination with potential known or unknown data gaps limits government’s ability to create inclusive policies. In this context, the paper defines primary, secondary, and unknown data gaps that cover scenarios of knowingly or unknowingly missing data and how that is potentially compensated through alternative measures. Based on the review of the literature from various fields and a variety of examples highlighted throughout the paper, we conclude that the big data movement combined with more sophisticated methods in recent years has opened up new opportunities for government to use existing data in different ways as well as fill data gaps through innovative techniques. Focusing specifically on the representativeness of such data, however, shows that data gaps affect the economic opportunities, social mobility, and democratic participation of marginalized groups. The big data movement in policy may thus create new forms of inequality that are harder to detect and whose impact is more difficult to predict. Show less
The buzz surrounding big data has taken shape in various theoretical and practical forms when it comes to policymaking. The paper combines current research streams with long-standing discussions on... Show moreThe buzz surrounding big data has taken shape in various theoretical and practical forms when it comes to policymaking. The paper combines current research streams with long-standing discussions on government and technology in public policy and public administration, such as e-government and evidence-based policymaking. The goal is to answer the question whether big data is a fleeting trend or has long-lasting effects on policymaking. Three larger themes in the literature are identified: First, the role that institutional capacity has within government to utilize big data analytics; second, government use of big data analytics in the context of digital public services; and finally, the way that big data information enters the policy cycle, focusing on substantive and procedural policy instruments. Examples from the education, crisis management, environmental and healthcare domain highlight the opportunities and challenges for each of these themes. Exploring the various aspects of big data and policymaking shows that big data is here to stay, but that its utilization by government will take time due to institutional barriers and capacity bottlenecks. Show less
Think tanks have proliferated in most Western democracies over the past three decades and are often considered to be increasingly important actors in public policy. Still, their precise... Show moreThink tanks have proliferated in most Western democracies over the past three decades and are often considered to be increasingly important actors in public policy. Still, their precise contribution to public policy remains contested. This paper takes the existing literature in a new direction by focusing on the capacity of think tanks to contribute to strategic policy-making and assessing their particular role within policy advisory systems. We propose that strategic policy-making capacity requires three critical features: high levels of research capacity, substantial organizational autonomy and a long-term policy horizon. Subsequently, we assess the potential of think tanks to play this particular role in policy-making, using empirical evidence from structured interviews with a set of prominent Australian think tanks. Show less
