Sustainable Wastewater Management: Is it Possible to Regulate Micropollution in the Future by Learning from the Past? A Policy Analysis

This paper applies a policy analysis approach to the question of how to effectively regulate micropollution in a sustainable manner. Micropollution is a complex policy problem characterized by a huge number and diversity of chemical substances, as well as various entry paths into the aquatic environment. It challenges traditional water quality management by calling for new technologies in wastewater treatment and behavioral changes in industry, agriculture and civil society. In light of such challenges, the question arises as to how to regulate such a complex phenomenon to ensure water quality is maintained in the future? What can we learn from past experiences in water quality regulation? To answer these questions, policy analysis strongly focuses on the design and choice of policy instruments and the mix of such measures. In this paper, we review instruments commonly used in past water quality regulation. We evaluate their ability to respond to the characteristics of a more recent water quality problem, i.e., micropollution, in a sustainable way. This way, we develop a new framework that integrates both the problem dimension (i.e., causes and effects of a problem) as well as the sustainability dimension (e.g., long-term, cross-sectoral and multi-level) to assess which policy instruments are best suited to regulate micropollution. We thus conclude that sustainability criteria help to identify an appropriate instrument mix of end-of-pipe and source-directed measures to reduce aquatic micropollution.

Making research relevant to policy-makers, development actors, and local communities: NCCR North-South report on effectiveness of research for development

Bridging the gap between research and policy is of growing importance in international development. The National Centre of Competence in Research (NCCR) North-South has rich experience in collaborating beyond academic boundaries to make their research relevant to various societal actors. This publication is the first to provide an overview of the effectiveness of NCCR North-South researchers’ efforts to interact with policy, practice, and local communities with a view to effecting a change in practices. A systematic assessment of researchers’ interactions with non-academic partners is presented, based on principles of monitoring and evaluation. On this basis, tools for collective learning and widespread adaptation are proposed. The report shows with what types of societal actors NCCR North-South researchers collaborate and analyses examples of how researchers conduct dialogue beyond academic boundaries, leading to specific outcomes. It also explains the frame conditions considered decisive for successful and sustainable policy dialogue and concludes with recommendations about how the NCCR North-South can increase the effectiveness of its research for development. The publication is a valuable source of inspiration for those interested in better understanding how to generate the multiple benefits of making science relevant to society.

Exploring the effectiveness of development research with a monitoring and learning approach

There is a growing demand for better understanding of the link between research, policy and practice in development. This article provides findings from a study that aimed to gain insights into how researchers engage with their non-academic partners. It draws on experiences from the National Centre of Competence in Research North-South programme, a development research network of Swiss, African, Asian and Latin American institutions. Conceptually, this study is concerned with research effectiveness as a means to identify knowledge useful for society. Research can be improved and adapted when monitoring the effects of interactions between researchers and non-academic partners. Therefore, a monitoring and learning approach was chosen. This study reveals researchers' strategies in engaging with non-academic partners and points to framing conditions considered decisive for soccessful interactions. It concludes that reserachrs need to systematically analyse the socio-political context in which they intervene. By providing insights from the ground and reflecting on them in the light of the latest theoretical concepts, this article contributes to the emerging literature founded on practice-based experience.

Spike-based decision learning of nash equilibria in two-player games

Humans and animals face decision tasks in an uncertain multi-agent environment where an agent's strategy may change in time due to the co-adaptation of others strategies. The neuronal substrate and the computational algorithms underlying such adaptive decision making, however, is largely unknown. We propose a population coding model of spiking neurons with a policy gradient procedure that successfully acquires optimal strategies for classical game-theoretical tasks. The suggested population reinforcement learning reproduces data from human behavioral experiments for the blackjack and the inspector game. It performs optimally according to a pure (deterministic) and mixed (stochastic) Nash equilibrium, respectively. In contrast, temporal-difference(TD)-learning, covariance-learning, and basic reinforcement learning fail to perform optimally for the stochastic strategy. Spike-based population reinforcement learning, shown to follow the stochastic reward gradient, is therefore a viable candidate to explain automated decision learning of a Nash equilibrium in two-player games.

Coalition Structures and Policy Change in a Consensus Democracy

This paper studies the relation between coalition structures in policy processes and policy change. While different factors such as policy images, learning processes, external events, or venue shopping are important to explain policy change, coalition structures within policy processes are often neglected. However, policy change happens as a result of negotiations and coordination among coalitions within policy processes. The paper analyzes how conflict, collaboration, and power relations among coalitions of actors influence policy change in an institutional context of a consensus democracy. Empirically, I rely on a Qualitative Comparative Analysis to conduct a cross-sector comparison of the 11 most important policy processes in Switzerland between 2001 and 2006. Coalition structures with low conflict and strong collaboration among coalitions as well as structures with dominant coalitions and weak collaboration both facilitate major policy change. Competing coalitions that are separated by strong conflict but still collaborate strongly produce policy outputs that are close to the status quo.

Learning by Not Doing: Subsidy Disciplines in Services Trade

This paper explores the hitherto futile quest for developing disciplines on the trade- and investment-distorting effects of services subsidies. It sheds light on the multiplicity of factors that have weighed on the conduct of negotiations on subsidy disciplines in a services trade context at both the global and preferential levels, and advances a few thoughts on what the future may hold for the adoption of such disciplines. The analysis suggests that it is rather unlikely that WTO Members will any time soon reach a consensus on the matter of subsidy disciplines for services beyond those that currently (and timidly) obtain in the GATS and in many preferential trade agreements. The main reason behind such a conclusion stems from a marked rise in the value of preserving policy space in a trading environment characterized by considerably greater global market contestability than two decades ago.