Trinity Restoration Inc.: Southside Cultural Center Economic Impact Study

Economic development has shifted from location-oriented business models towards a more all-encompassing model that recognizes the advancement of human capital or intellectual property as continuously increasing in value. This microcosmic characteristic of development extends to aid in the growth of society as a whole. The Arts and Culture attract a demographic of inspired and motivated people to the area. It results in the development of the society surrounding art venues. The general population will always seek out entertainment, by installing a venue of artistic expression in South Providence that will motivate the community and propel development. This phenomena has been proven, as denoted through the historical evaluation of artistic venues across America that have generated economic growth in their respective communities

Measuring student use of ICT: a summary of findings of ICT use in Queensland Catholic schools

[Abstract]: The measurement of student learning outcomes as a result of the use of information and communication technologies (ICT) in the curriculum has become the focus of recent investigations with a view to improving teaching and learning. For example, a 2005 AARE Conference symposium provided insights into a range of current approaches for measuring ICT use in Australian schools (Fitzallen & Brown, 2006; Lloyd, 2006; Trinidad, Newhouse & Clarkson, 2006; Finger, Jamieson-Proctor, & Watson, 2006). These approaches stem from requirements for the measurement of student outcomes as a result of ICT integration, in line with recent priorities that emphasise outcomes (Andrich, 2002) and accountability (Gordon, 2002). However, researching and measuring the impact of ICT integration in schools has been found to be problematic (Cuttance, 2001). In Queensland, an instrument for measuring student use of ICT in the curriculum was developed, trialled and evaluated (Jamieson-Proctor, Watson, Finger, Grimbeek, & Burnett, 2007). This instrument has shown to be useful in measuring ICT use by students in Queensland State schools (Jamieson-Proctor & Finger, 2006; Jamieson-Proctor, Burnett, Finger & Watson, 2006). This paper summarises the findings obtained from the administration of the instrument in 130 Catholic schools in Queensland

A webometric analysis of Australian Universities using staff and size dependent web impact factors (WIF)

This study describes how search engines (SE) can be employed for automated, efficient data gathering for Webometric studies using predictable URLs. It then compares the usage of staffrelated Web Impact Factors (WIFs) to sizerelated impact factors for a ranking of Australian universities, showing that rankings based on staffrelated WIFs correlate much better with an established ranking from the Melbourne Institute than commonly used sizedependent WIFs. In fact sizedependent WIFs do not correlate with the Melbourne ranking at all. It also compares WIF data for Australian Universities provided by Smith (1999) for a longitudinal comparison of the WIF of Australian Universities over the last decade. It shows that sizedependent WIF values declined for most Australian universities over the last ten years, while staffdependent WIFs rose

Using patient-reported measures to drive change in healthcare: the experience of the digital, continuous and systematic PREMs observatory in Italy

BACKGROUND: The use of Patient Reported Experience Measures (PREMs) has great potential in healthcare service improvement, but a limited use. This paper presents an empirical case of PREMs innovation in Italy, to foster patient data use up to the ward level, by keeping strengths and addressing weaknesses of previous PREMs survey experiences. The paper reports key lessons learned in this ongoing experience of action research, directly involving practitioners. METHODS: The aim of this paper is to present the results of an ongoing action research, encompassing the innovation of PREMs collection, reporting and use, currently adopted by 21 hospitals of two Italian regions. The continuous and systematic PREMs collection has been implemented between 2017 and 2019 and includes: a continuous web-based administration, using web-services; an augmented and positive questionnaire matching standard closed-ended questions with narrative sections; the inclusion and benchmarking of patient data within a shared performance evaluation system; public disclosure of aggregated anonymized data; a multi-level and real-time web-platform for reporting PREMs to professionals. The action research was carried out with practitioners in a real-life and complex context. The authors used multiple data sources and methods: observations, feedback of practitioners, collected during several workshops and meetings, and analysis of preliminary data on the survey implementation. RESULTS: A continuous and systematic PREMs observatory was developed and adopted in two Italian regions. PREMs participation and response rates tend to increase over time, reaching stable percentages after the first months. Narrative feedback provide a 'positive narration' of episodes and behaviours that made the difference to patients and can inform quality improvement actions. Real-time reporting of quantitative and qualitative data is enabling a gratifying process of service improvement and people management at all the hospitals' levels. CONCLUSIONS: The PREMs presented in this paper has been recognized by healthcare professionals and managers as a strategic and positive tool for improving an actual use of PREMs at system and ward levels, by measuring and highlighting positive deviances, such as compassionate behaviours

Funding Media, Strengthening Democracy: Grantmaking for the 21st Century

Despite the pervasiveness of media, the amount of philanthropic dollars in support of public interest media remains minuscule and, therefore largely ineffective. The report, based on a survey of the the funding sector, calls on philanthropists to embrace a practice of transparency and information sharing via technology, to determine how existing funds are being used and how they can best be leveraged to increase philanthropic impact within the media field

Inefficiencies in Digital Advertising Markets

Digital advertising markets are growing and attracting increased scrutiny. This article explores four market inefficiencies that remain poorly understood: ad effect measurement, frictions between and within advertising channel members, ad blocking, and ad fraud. Although these topics are not unique to digital advertising, each manifests in unique ways in markets for digital ads. The authors identify relevant findings in the academic literature, recent developments in practice, and promising topics for future research

Interpretable Predictions of Tree-based Ensembles via Actionable Feature Tweaking

Machine-learned models are often described as "black boxes". In many real-world applications however, models may have to sacrifice predictive power in favour of human-interpretability. When this is the case, feature engineering becomes a crucial task, which requires significant and time-consuming human effort. Whilst some features are inherently static, representing properties that cannot be influenced (e.g., the age of an individual), others capture characteristics that could be adjusted (e.g., the daily amount of carbohydrates taken). Nonetheless, once a model is learned from the data, each prediction it makes on new instances is irreversible - assuming every instance to be a static point located in the chosen feature space. There are many circumstances however where it is important to understand (i) why a model outputs a certain prediction on a given instance, (ii) which adjustable features of that instance should be modified, and finally (iii) how to alter such a prediction when the mutated instance is input back to the model. In this paper, we present a technique that exploits the internals of a tree-based ensemble classifier to offer recommendations for transforming true negative instances into positively predicted ones. We demonstrate the validity of our approach using an online advertising application. First, we design a Random Forest classifier that effectively separates between two types of ads: low (negative) and high (positive) quality ads (instances). Then, we introduce an algorithm that provides recommendations that aim to transform a low quality ad (negative instance) into a high quality one (positive instance). Finally, we evaluate our approach on a subset of the active inventory of a large ad network, Yahoo Gemini.Comment: 10 pages, KDD 201