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The basic income (BI) scheme is a fundamental reform of the welfare state that has recently gained widespread attention. Proposals for different variants of BI schemes have emerged to account for varying political and societal goals. This study investigates what citizens think about the idea of a BI, and to what extent citizens’ perceptions depend on the exact design of such a scheme and the context in which this policy is embedded. Empirically, we rely on conjoint experiments conducted in Finland and Switzerland – the two countries in which the introduction of a BI scheme has recently been discussed most intensely. We find that the level of public support for BI is higher in Finland than it is in Switzerland. Moreover, despite the contrasting designs of the BI proposals in the two countries, both Finnish and Swiss citizens tend to favor more generous schemes restricting non-nationals’ access to the provision.

Whereas ecological economists argue strongly in favor of incentive-based approaches to promote renewable energy sources and reduce energy consumption, those instruments have been shown to be particularly difficult to implement politically. We begin with a recognition that cost perceptions that inherently characterize incentive-based policy instruments are a fundamental reason for their unpopularity. We therefore argue that the crucial question that policymakers need to address is how the benefit–cost ratios of incentive-based instruments can be altered in ways such that their inherent costs become acceptable. By focusing on the various features of these instruments, we propose three strategies for answering this question theoretically: objectively reduce the costs, reduce the visibility of the costs, and identify compensation strategies, i.e., strengthen the benefit side of the equation. Based on a conjoint analysis for Switzerland, our results demonstrate that reducing objective and perceived costs may indeed strengthen support for incentive-based policy instruments, whereas cost compensation does not seem to work as well. We show, moreover, that the latter can be explained by the fact that substantial numbers of voters do not understand or are not convinced by the commonly proposed mechanism of environmental taxes. Given that voters do not believe in the usefulness and efficacy of incentive-based policy measures, no cost compensation is feasible.

The relationship between digital technology and politics is an important phenomenon that remains poorly understood due to several structural problems. A key issue is the lack of adequate research infrastructures or the lack of access. This article discusses the challenges many social scientists face and presents the infrastructure we built in Switzerland to overcome them, using COVID-19 as an example. We conclude by discussing seven lessons we learned: automatization is key; avoid data hoarding; outsource some parts of the infrastructure but not others; focus on substantive questions; share data in the context of collaborations; engage in targeted public outreach; and collaboration is more promising than competition. We hope that our experience is helpful to other researchers pursuing similar goals.