Exploring the rural passenger experience, information needs and decision making during public transport disruption

Acknowledgements The research described here is supported by the award made by the RCUK Digital Economy programme to the dot.rural Digital Economy Research Hub; award reference: EP/G066051/1. Further, we would like to acknowledge the RCUK research grant EP/J000604/2.

Mobile Phones, Sensors & The Crowd: Lessons Learnt From Development of a Real-Time Travel Information System

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Citizen Sensing within a Real Time Passenger Information System

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GetThere: A Rural Passenger Information System Utilising Linked Data & Citizen Sensing

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The Political Economy of Ethnic Empowerment in India

This dissertation consists of three papers, which together examine whether policies meant to address inequality, succeed in mitigating the impact of traditional institutions such as caste and enable ethnic minorities to claim their rights. Using experimental and quasi-experimental methods with data from a variety of primary and secondary sources, this dissertation analyzes whether policies meant to empower vulnerable groups in India have succeeded in doing so. The findings suggest that while legislations in the form of mandated political representation or freedom of information laws are necessary in terms of increasing the accountability of government towards citizens, they may not be sufficient in ensuring adequate and uniform delivery of public services, especially to citizens belonging to marginalized groups. Further, empowering citizens – especially those belonging to groups that have faced historic discrimination – to actively participate in civic and political life may require more active and intensive policy and programmatic interventions.

A State of Minds : Canada in the Information Era (Working Paper 10)

Globalization and the knowledge/ information revolution are signalling the advent of a new societal order, one with profound and pervasive implications for citizens, for markets, for governments and, therefore, for public policy. This new global order is a truly remarkable watershed in the annals of human history and, as is the case with all such great transformations, it carries with it both enormous opportunities and daunting challenges. Building on my 1999 Mabel Timlin Lecture at the University of Saskatchewan, I want to share with you my perspectives on the nature of some of these opportunities and challenges, with an eye toward drawing out the implications for the evolution of the Canadian society and economy.

Governing Big Data: The Political Economy of Power, Knowledge and Consumer Finance in the Digital Age

This dissertation offers a critical international political economy (IPE) analysis of the ways in which consumer information has been governed throughout the formal history of consumer finance (1840 – present). Drawing primarily on the United States, this project problematizes the notion of consumer financial big data as a ‘new era’ by tracing its roots historically from late nineteenth century through to the present. Using a qualitative case study approach, this project applies a unique theoretical framework to three instances of governance in consumer credit big data. Throughout, the historically specific means used to govern consumer credit data are rooted in dominant ideas, institutions and material factors.

Information ethics in the age of digital labour and the surveillance-industrial complex

Thee rise of computing and the internet have brought about an ethical eld of studies that some term information ethics, computer ethics, digital media ethics, or internet ethics e aim of this contribution is to discuss information ethics’ foundations in the context of the internet’s political economy e chapter rst looks to ground the analysis in a comparison of two information ethics approaches, namely those outlined by Rafael Capurro and Luciano Floridi It then develops, based on these foundations, analyses of the information ethical dimensions of two important areas of social media: one concerns the framing of social media by a surveillance-industrial complex in the context of Edward Snowden’s revelations and the other deals with issues of digital labour processes and issues of class that arises in this context e contribution asks ethical questions about these two phenomena that bring up issues of power, exploitation, and control in the information age It asks if, and if so, how, the approaches of Capurro and Floridi can help us to understand ethico-political aspects of the surveillance-industrial complex and digital labour

Net-surplus as a useful tool to analyse financial information in co-op societies

This paper aims to analyse a sample of Galician co-ops to verify whether or not it is possible to deduce different financial behaviours among co-op partners from the amount of net-surplus. To this end, our study adds net-surplus to the variation registered in some account entries so that other residual incomes yielded by the co-op may be considered. The distribution of these revenues shows that partners do not usually choose to fully anticipate residual incomes. This reveals that some firms follow a positive net-surplus strategy, which is actually different from the null net-surplus strategy asserted by the classical financial theory. Furthermore, results show that differences between both strategies are statistically significant. This opens a path to future research on determinants explaining why co-op partners voluntarily renounce to anticipating these residual incomes. Such behaviour only arises when yearly accounts render a positive result, thereby making the accounting net-surplus a useful tool to analyse financial information in co-op societies.

On the application of contextual IoT service discovery in Information Centric Networks

The continuous flow of technological developments in communications and electronic industries has led to the growing expansion of the Internet of Things (IoT). By leveraging the capabilities of smart networked devices and integrating them into existing industrial, leisure and communication applications, the IoT is expected to positively impact both economy and society, reducing the gap between the physical and digital worlds. Therefore, several efforts have been dedicated to the development of networking solutions addressing the diversity of challenges associated with such a vision. In this context, the integration of Information Centric Networking (ICN) concepts into the core of IoT is a research area gaining momentum and involving both research and industry actors. The massive amount of heterogeneous devices, as well as the data they produce, is a significant challenge for a wide-scale adoption of the IoT. In this paper we propose a service discovery mechanism, based on Named Data Networking (NDN), that leverages the use of a semantic matching mechanism for achieving a flexible discovery process. The development of appropriate service discovery mechanisms enriched with semantic capabilities for understanding and processing context information is a key feature for turning raw data into useful knowledge and ensuring the interoperability among different devices and applications. We assessed the performance of our solution through the implementation and deployment of a proof-of-concept prototype. Obtained results illustrate the potential of integrating semantic and ICN mechanisms to enable a flexible service discovery in IoT scenarios.

Essays on Information Frictions, Prices and Unemployment

I investigate the effects of information frictions in price setting decisions. I show that firms' output prices and wages are less sensitive to aggregate economic conditions when firms and workers cannot perfectly understand (or know) the aggregate state of the economy. Prices and wages respond with a lag to aggregate innovations because agents learn slowly about those changes, and this delayed adjustment in prices makes output and unemployment more sensitive to aggregate shocks. In the first chapter of this dissertation, I show that workers' noisy information about the state of the economy help us to explain why real wages are sluggish. In the context of a search and matching model, wages do not immediately respond to a positive aggregate shock because workers do not (yet) have enough information to demand higher wages. This increases firms' incentives to post more vacancies, and it makes unemployment volatile and sensitive to aggregate shocks. This mechanism is robust to two major criticisms of existing theories of sluggish wages and volatile unemployment: the flexibility of wages for new hires and the cyclicality of the opportunity cost of employment. Calibrated to U.S. data, the model explains 60% of the overall unemployment volatility. Consistent with empirical evidence, the response of unemployment to TFP shocks predicted by my model is large, hump-shaped, and peaks one year after the TFP shock, while the response of the aggregate wage is weak and delayed, peaking after two years. In the second chapter of this dissertation, I study the role of information frictions and inventories in firms' price setting decisions in the context of a monetary model. In this model, intermediate goods firms accumulate output inventories, observe aggregate variables with one period lag, and observe their nominal input prices and demand at all times. Firms face idiosyncratic shocks and cannot perfectly infer the state of nature. After a contractionary nominal shock, nominal input prices go down, and firms accumulate inventories because they perceive some positive probability that the nominal price decline is due to a good productivity shock. This prevents firms' prices from decreasing and makes current profits, households' income, and aggregate demand go down. According to my model simulations, a 1% decrease in the money growth rate causes output to decline 0.17% in the first quarter and 0.38% in the second followed by a slow recovery to the steady state. Contractionary nominal shocks also have significant effects on total investment, which remains 1% below the steady state for the first 6 quarters.

Capital structure, risk and asymmetric information : theory and evidence

This paper proposes a principal-agent model between banks and firms with risk and asymmetric information. A mixed form of finance to firms is assumed. The capital structure of firms is a relevant cause for the final aggregate level of investment in the economy. In the model analyzed, there may be a separating equilibrium, which is not economically efficient, because aggregate investments fall short of the first-best level. Based on European firm-level data, an empirical model is presented which validates the result of the relevance of the capital structure of firms. The relative magnitude of equity in the capital structure makes a real difference to the profits obtained by firms in the economy.