332,565 research outputs found

    Bayesian Decision Theory and Stochastic Independence

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    Stochastic independence has a complex status in probability theory. It is not part of the definition of a probability measure, but it is nonetheless an essential property for the mathematical development of this theory. Bayesian decision theorists such as Savage can be criticized for being silent about stochastic independence. From their current preference axioms, they can derive no more than the definitional properties of a probability measure. In a new framework of twofold uncertainty, we introduce preference axioms that entail not only these definitional properties, but also the stochastic independence of the two sources of uncertainty. This goes some way towards filling a curious lacuna in Bayesian decision theory

    "Gumboots and grassroots" : exploring leadership for social change at a grassroots level in New Zealand : a thesis presented in partial fulfilment of the requirements for the degree of Masters of Business Studies in Management at Massey University, Albany, New Zealand

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    The primary aim of this study was to explore the motivations underpinning three agri-women’s involvement in grassroots associations. The research investigated leadership processes within the groups and sought to understand the impact of three specific projects in the context of grassroots leadership for social change. Grassroots associations have been described as innovative networks of people sharing common goals and vision, that recognise and respond to local community needs, often motivated by a need to create societal and environmental change. Future climatic and sustainability challenges predicted for New Zealand’s agri-sector provide the impetus to support and increase this collective leadership capacity. Voluntary groups such as these have largely been ignored by leadership scholars, however their informal, decentralised structures and collective decision-making processes offer unique opportunities to view leadership in a different way, a way that may be essential in the complex world of the 21st century. Furthermore, the context of this research in rural and provincial New Zealand provides a fresh perspective relevant to rural and urban alike, for a country largely reliant on its primary sector for economic prosperity. A qualitative multiple case study design was chosen for its ability to achieve a holistic result, rich in content and meaning, through employing multiple data collection techniques in a naturalistic setting. Thematic analysis was used to draw out themes from the data, which combined with existing theory in an abductive approach adding new contributions to the current limited knowledge of grassroots leadership processes. Key findings were the participants’ voluntary altruistic principles and their passion, persistence and commitment to their causes. Leadership processes within the groups confirmed an outdated leader-follower influence paradigm and strong parallels with elements of Complexity Leadership Theory, especially in terms of enabling leadership to create adaptive space. However, the major contribution from this study was an adapted framework demonstrating how philosophical foundations, leadership practices and activities of grassroots associations can build community power in the creation of social capital contributing to community resilience for unknown and unknowable future events

    Bayesian Decision Theory and Stochastic Independence

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    As stochastic independence is essential to the mathematical development of probability theory, it seems that any foundational work on probability should be able to account for this property. Bayesian decision theory appears to be wanting in this respect. Savage’s postulates on preferences under uncertainty entail a subjective expected utility representation, and this asserts only the existence and uniqueness of a subjective probability measure, regardless of its properties. What is missing is a preference condition corresponding to stochastic independence. To fill this significant gap, the article axiomatizes Bayesian decision theory afresh and proves several representation theorems in this novel framework

    Evaluating Program Impact: Our Approach to Performance Assessment

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    Discerning and communicating the impact of grantmaking and other programmatic contributions are essential to fulfilling the Rockefeller Brothers Fund's (RBF) mission as well as our commitment to stewardship, transparency, and accountability. The Fund's board and staff have found that engaging policymakers on the results and insights gained from our grantmaking, informing the public about our grantees' work, and attracting additional donors to promising institutions and approaches are key activities that help build a more just, sustainable, and peaceful world.In order to bring additional rigor to the Fund's approach to program impact assessment, a committee of RBF trustees and staff was established in March 2012. Based on our experience, the state of evaluation in philanthropy, and a review of literature and activity in the field, the Impact Assessment Committee developed a set of principles to guide our impact assessment approach, defined terms for the purposes of RBF discussions, established several points for evaluation activities in the life cycle of a grantmaking program, and identified opportunities to embed impact assessment in the Fund's regular institutional processes. The Fund establishes its programs in fields and places that reflect its mission and the evolution of its longstanding interests, along with an analysis of the changing global context. The key elements of the RBF's approach to assessing program impact are as follows:* The board approves program guidelines that lay the foundation for the Fund's grantmaking within a program. Guidelines include a preamble that presents the vision and rationale for each program, ambitious long-term goals, and strategies that articulate specific actions the Fund will support to achieve progress toward these goals. They provide guidance to staff and grantseekers about what the RBF is prepared to fund.* A program framework summary, derived from the guidelines, is developed for internal use and includes indicators of progress. These indicators identify anticipated changes in understanding, behavior, capacity, public engagement, or public policy that would demonstrate that program strategies are contributing to realizing program goals.* Within each program, evaluation activities occur on an ongoing basis. Monitoring of the field and of individual grants draws on regular staff engagement and grantee reporting; program reviews, conducted every three to five years by program staff, provide an opportunity to engage the board in a strategic review of progress—often resulting in updated program strategies; impact assessments are conducted by external consultants after five or more years as strategies mature.* The annual institutional calendar provides a variety of opportunities for the board and staff to discuss and review programmatic impact at different points each year and across several years.This approach to impact assessment reflects emerging practices in the field and is consistent with the Fund's values and grantmaking approaches. The committee believes that the approach effectively supports program learning, guides program development, and enhances the impact of the Fund's grantmaking

    Evaluating Ecosystem Investments

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    This report focuses on what was learned about best practices for evaluating the effects of ecosystem investments along with examples of how others are using these practicesin their work.MethodologyThree research questions guided this engagement:What are the new / best practices in evaluating the effects of ecosystem invest­ments?Which organizations are evaluating these investments well? What can they teach us?What relevant outcomes and indicators could Omidyar Network use to evaluate its ecosystem investments?To answer these questions, FSG conducted the following activities, in addition to drawing on our experience supporting strategic learning and evaluation in complex environments. Appendix A includes a complete list of grants reviewed and interviewees.Grants analysis: FSG analyzed Omidyar Network's Initiative Results Architecture frameworks and 23 grants within its ecosystem investment portfolio. These docu­ments helped ground our research in an understanding of the different types of ecosystem investments Omidyar Network is making, as well as how the organiza­tion currently evaluates the impact of its ecosystem investments.Literature review: FSG reviewed more than 60 publications to identify best practices in evaluating ecosystem investments—these publications included both peer-reviewed journal articles and "grey literature" (conference presentations, blog posts) by organizations employing advocacy-type strategies.Interviews: FSG conducted interviews with nine external experts (listed in Appen­dix A) to more deeply understand effective practices in evaluating the effects of eco­system investments and to identify leading organizations in this area. Interviewees were identified to glean best practices from both within and outside the traditional social sector
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