‘The project cannot be approved in its current form’: feminist visual research meets the human research ethics committee

This article reflects on a university human research ethics committee’s unease regarding a feminist visual pilot study within the field of education. The small exploratory study proposed to explore a migrant mother’s production of her son’s identity through her family photograph collection. The committee requested substantial changes to the research design which centred primarily on their concerns regarding risk of harm to pre-existing relationships, and also issues of anonymity and consent. I consider the combined liberal individualist, utilitarian and positivist biomedical basis for the ethics committee’s discomfort with the proposed research which was to involve members of my family. I draw on my experience of the review process to critique the human research ethics committee paradigm which constructs the ideal researcher as an objective and disinterested observer, hinges on a weighing of risks and benefits, and considers humans to be independent and equal. I demonstrate how the blanket application of these values acts to problematise some kinds of research, and how these values can be inappropriate, incompatible and even destructive when applied to research proposals that are exploratory, visual, and/or involve the researcher’s family members as participants.

Board committee meetings and firm financial performance : an investigation of Australian companies

This article examines how the frequency of board committee meetings impacts on Australian firms’ financial performance. Data were collected from 118 Australian listed companies – including 26 financial firms and 92 nonfinancial firms – for the period 1999–2007. Analysis of that data shows that the frequencies of audit committee meetings and remuneration committee meetings are positively and significantly associated with return on equity and return on assets. The frequencies of risk committee meetings do not show any significant effects on the financial performance of Australian firms. Estimated results are found to be robust after controlling for internal as well as external governance mechanisms that might affect Australian firm performance.

Institutional Ownership, Audit Committee and Risk Disclosure – Evidence from Australian Stock Market

This study investigates the influence of institutional ownership and audit committees corporate risk disclosures. Focusing on analysing firms’ risk disclosures make in their 2009 annual reports, our sample constitutes a sample of 66 Australian listed firms. We divide institutional shareholders into dedicated-type institutional block shareholders and transient-type institutional block shareholders. We find that while there is no significant relationship between dedicated-type institutional block shareholders and risk disclosure, there is a positive relationship between transient-type institutional block shareholders and risk disclosures. Our result is consistent with a principal that wields limited monitoring resources while achieving high resource dependency over management. We also find a significant and positive relationship between audit committee independence and risk disclosures, showing the positive role played by audit committee in improving the information transparency and reducing information asymmetry in capital market.

The association between audit committee effectiveness and audit risk

Audit committees (ACs) are expected to play a key role in improving financial statement integrity and as a consequence reduce audit risk. Companies reporting conformity with regulations can have an AC that appears effective but is not actually effective in substance. We surveyed audit partners and managers to identify their indicators of actual AC effectiveness (auditor-chosen list). We hypothesize a negative association between AC effectiveness and audit risk, only when an auditor-chosen list, rather than extent of conformity with regulations, is used to measure effectiveness. Results support our expectations.

Remuneration committee effectiveness and narrative remuneration disclosure

This paper investigates the impact of the effectiveness of remuneration committees on narrative voluntary disclosure of information on remuneration. We develop a composite measure as a proxy for remuneration committee effectiveness by incorporating remuneration committee size, remuneration committee independence, remuneration committee chairman’s independence, expertise and diligence. We find that both the existence and quality of a remuneration committee play a significant role in the decision to provide voluntary disclosure of remuneration actions and in the extent of this disclosure. Further analysis suggests that remuneration committee independence and diligence enhance the quality of remuneration committees. The results have policy implications for remuneration committees as an effective corporate governance mechanism.

Prediction Of Hydrological Models’ Uncertainty By A Committee Of Machine Learning-Models

This study presents an approach to combine uncertainties of the hydrological model outputs predicted from a number of machine learning models. The machine learning based uncertainty prediction approach is very useful for estimation of hydrological models' uncertainty in particular hydro-metrological situation in real-time application [1]. In this approach the hydrological model realizations from Monte Carlo simulations are used to build different machine learning uncertainty models to predict uncertainty (quantiles of pdf) of the a deterministic output from hydrological model . Uncertainty models are trained using antecedent precipitation and streamflows as inputs. The trained models are then employed to predict the model output uncertainty which is specific for the new input data. We used three machine learning models namely artificial neural networks, model tree, locally weighted regression to predict output uncertainties. These three models produce similar verification results, which can be improved by merging their outputs dynamically. We propose an approach to form a committee of the three models to combine their outputs. The approach is applied to estimate uncertainty of streamflows simulation from a conceptual hydrological model in the Brue catchment in UK and the Bagmati catchment in Nepal. The verification results show that merged output is better than an individual model output. [1] D. L. Shrestha, N. Kayastha, and D. P. Solomatine, and R. Price. Encapsulation of parameteric uncertainty statistics by various predictive machine learning models: MLUE method, Journal of Hydroinformatic, in press, 2013.

Towards a new international financial architecture: report of the Task Force of the Executive Committee on Economic and Social Affairs of the United Nations, 21 January 1999 = Hacia una nueva arquitectura financiera internacional: informe del Grupo de Trabajo del Comité Ejecutivo de Asuntos Económicos y Sociales de las Naciones Unidas, 21 de enero de 1999

Publicación bilingüe

Finding solutions to the debt problems of developing countries: report of the Executive Committee on Economic and Social Affairs of the United Nations (New York, 20 May 1999)

Includes bibliography