Systems Thinking and Regulatory Governance: A Review of the International Academic Literature


Paper by Jeroen van der Heijden: “This research paper presents findings from a broad scoping of the international academic literature on the use of systems thinking and systems science in regulatory governance and practice. It builds on a systematic review of peer-reviewed articles published in the top 15 journals for regulatory scholarship. The aim of the research paper is to introduce those working in a regulatory environment to the key concepts of systems thinking and systems science, and to discuss the state of the art of regulatory knowledge on these topics.

It addresses five themes:

(1) the evolution of systems thinking,

(2) examples of systems thinking from the academic literature,

(3) evidence of how systems thinking helps improving regulatory governance, and

(4) the epistemic challenges and

(5) ethical challenges that come with applying systems thinking to regulatory governance and practice….(More)”.

Nudge Regulation and Innovation Policy


Paper by Nissim Cohen and Hadar Yoana Jabotinsky: “Whilst there is widespread agreement among decision makers that fostering innovation should be a priority, there is far less consensus on how to achieve this objective. Given the fact that the effects of new technologies are often unknown, in the early stages of technological development, there might be insufficient information for conducting a cost-benefit analysis. Under uncertainty, using strict regulatory measures might kill the innovation before the market matures, resulting in inefficiency. Moreover, strict regulation can infringe on entrepreneurs’ right to conduct a business. In addition, using strict regulation without fully understanding the technology and the harm it might cause consumers might not provide them with the needed protection. We argue that when regulating new technologies, the use of nudges is a desirable policy tool, superior to most other policy tools available to regulators. Nudging leaves room for technological developments while allowing the regulators to rely on the Wisdom of the Crowd to move regulation in the most efficient direction….(More)”.

Crowdsourcing Geographic Information


Paper by Dieter Pfoser: “The crowdsourcing of geographic information addresses the collection of geospatial data contributed by non-expert users and the aggregation of these data into meaningful geospatial datasets. While crowdsourcing generally implies a coordinated bottom-up
grass-roots effort to contribute information, in the context of geospatial data the term volunteered geographic information (VGI) specifically refers to a dedicated collection effort inviting non-expert users to contribute. A prominent example here is the OpenStreetMap effort focusing on map datasets. Crowdsourcing geospatial data is an evolving research area that covers efforts ranging from mining GPS tracking data to using social media content to profile population dynamics…(More)”.

Partisan responses to democracy promotion – Estimating the causal effect of a civic information portal


Paper by Peter John and Fredrik M. Sjoberg: “Citizens respond to information about democracy according to whether they are electoral winners or losers. This difference occurs both at the national and constituency level. Democratic interventions that seek to promote accountability and transparency might therefore impact citizens differentially depending on the political party that people support. In a placebo-controlled experimental design, carried out in Kenya, we find that democracy promotion boosts the external efficacy and political participation of ruling party partisans, but leaves those from the opposition unaffected. These responses—based on national incumbency—are further conditioned by the partisanship of the MP of the constituency where the voter resides. These findings throw new light on the impact of civic interventions, such as Get Out the Vote (GOTV) and civic education, common in Africa as well as elsewhere, as we show their benefits accrue to the electoral winners rather than to the losers…(More)”.

Conceptualizing the Impact of Digital Interference in Elections: A Framework and Agenda for Future Research


Paper by Nahema Marchal: “Concerns over digital interference in elections are widespread. Yet evidence of its impact is still thin and fragmented. How do malicious uses of social media shape, transform, and distort democratic processes? And how should we characterize this impact? Existing research into the effects of social media manipulation has largely focused on measuring its purported impact on opinion swings and voting behavior. Though laudable, this focus might be too reductive. Drawing on normative theories of liberal democracy, in this paper I argue that the threat of digital interference does not lie in its capacity to change people’s views but rather in its power to undermine popular perceptions of electoral integrity, with potentially far-reaching consequences for public trust. Following this assessment, I formulate a preliminary research agenda and highlight previously overlooked relationships that could be explored to better understand how malicious uses of social media might shape such attitudes and to what effect….(More)”.

Data-driven models of governance across borders: Datafication from the local to the global


Payal Arora and Hallam Stevens at First Monday: “This special issue looks closely at contemporary data systems in diverse global contexts and through this set of papers, highlights the struggles we face as we negotiate efficiency and innovation with universal human rights and social inclusion. The studies presented in these essays are situated in diverse models of policy-making, governance, and/or activism across borders. Attention to big data governance in western contexts has tended to highlight how data increases state and corporate surveillance of citizens, affecting rights to privacy. By moving beyond Euro-American borders — to places such as Africa, India, China, and Singapore — we show here how data regimes are motivated and understood on very different terms….(More)”.

Facebook Ads as a Demographic Tool to Measure the Urban-Rural Divide


Paper by Daniele Rama, Yelena Mejova, Michele Tizzoni, Kyriaki Kalimeri, and Ingmar Weber: “In the global move toward urbanization, making sure the people remaining in rural areas are not left behind in terms of development and policy considerations is a priority for governments worldwide. However, it is increasingly challenging to track important statistics concerning this sparse, geographically dispersed population, resulting in a lack of reliable, up-to-date data. In this study, we examine the usefulness of the Facebook Advertising platform, which offers a digital “census” of over two billions of its users, in measuring potential rural-urban inequalities.

We focus on Italy, a country where about 30% of the population lives in rural areas. First, we show that the population statistics that Facebook produces suffer from instability across time and incomplete coverage of sparsely populated municipalities. To overcome such limitation, we propose an alternative methodology for estimating Facebook Ads audiences that nearly triples the coverage of the rural municipalities from 19% to 55% and makes feasible fine-grained sub-population analysis. Using official national census data, we evaluate our approach and confirm known significant urban-rural divides in terms of educational attainment and income. Extending the analysis to Facebook-specific user “interests” and behaviors, we provide further insights on the divide, for instance, finding that rural areas show a higher interest in gambling. Notably, we find that the most predictive features of income in rural areas differ from those for urban centres, suggesting researchers need to consider a broader range of attributes when examining rural wellbeing. The findings of this study illustrate the necessity of improving existing tools and methodologies to include under-represented populations in digital demographic studies — the failure to do so could result in misleading observations, conclusions, and most importantly, policies….(More)”.

Decide Madrid: A Critical Analysis of an Award-Winning e-Participation Initiative


Paper by Sonia Royo, Vicente Pina and Jaime Garcia-Rayado: “This paper analyzes the award-winning e-participation initiative of the city council of Madrid, Decide Madrid, to identify the critical success factors and the main barriers that are conditioning its performance. An exploratory case study is used as a research technique, including desk research and semi-structured interviews. The analysis distinguishes contextual, organizational and individual level factors; it considers whether the factors or barriers are more related to the information and communication technology (ICT) component, public sector context or democratic participation; it also differentiates among the different stages of the development of the initiative. Results show that individual and organizational factors related to the public sector context and democratic participation are the most relevant success factors.

The high expectations of citizens explain the high levels of participation in the initial stages of Decide Madrid. However, the lack of transparency and poor functioning of some of its participatory activities (organizational factors related to the ICT and democratic dimensions) are negatively affecting its performance. The software created for this platform, Consul, has been adopted or it is in the process of being implemented in more than 100 institutions in 33 countries. Therefore, the findings of this research can potentially be useful to improve the performance and sustainability of e-participation platforms worldwide…(More)”.

Algorithms and Contract Law


Paper by Lauren Henry Scholz: “Generalist confusion about the technology behind complex algorithms has led to inconsistent case law for algorithmic contracts. Case law explicitly grounded in the principle that algorithms are constructive agents for the companies they serve would provide a clear basis for enforceability of algorithmic contracts that is both principled from a technological perspective and is readily intelligible and able to be applied by generalists….(More)”.

Frameworks for Collective Intelligence: A Systematic Literature Review


Paper by Shweta Suran, Vishwajeet Pattanaik, and Dirk Draheim: “Over the last few years, Collective Intelligence (CI) platforms have become a vital resource for learning, problem solving, decision-making, and predictions. This rising interest in the topic has to led to the development of several models and frameworks available in published literature.

Unfortunately, most of these models are built around domain-specific requirements, i.e., they are often based on the intuitions of their domain experts and developers. This has created a gap in our knowledge in the theoretical foundations of CI systems and models, in general. In this article, we attempt to fill this gap by conducting a systematic review of CI models and frameworks, identified from a collection of 9,418 scholarly articles published since 2000. Eventually, we contribute by aggregating the available knowledge from 12 CI models into one novel framework and present a generic model that describes CI systems irrespective of their domains. We add to the previously available CI models by providing a more granular view of how different components of CI systems interact. We evaluate the proposed model by examining it with respect to six popular, ongoing CI initiatives available on the Web….(More)”.