88 research outputs found
Community gardening toolkit : a resource for planning, enhancing and sustaining your community gardening project (2015)
New 4/09 ; Reviewed 4/15/Web
Beyond Gaussian averages : redirecting management research toward extreme events and power laws
Practicing managers live in a world of ‘extremes’ but management research is based on Gaussian statistics that rule out those extremes. On occasion, deviation amplifying mutual causal processes among interdependent data points cause extreme events characterized by power laws. They seem ubiquitous; we lis t80 kinds of them – half each among natural and social phenomena. We draw a ‘line in the sand’ between Gaussian (based on independent data points, finite variance and emphasizing averages) and Paretian statistics(based on interdependence, positive feedback, infinite variance, and emphasizing extremes). Quantitative journal publication depends almost entirely on Gaussian statistics. We draw on complexity and earthquake sciences to propose redirecting Management Studies. No statistical findings should be accepted into Management Studies if they gain significance via some assumption-device by which extreme events and infinite variance are ignored. The cost is inaccurate science and irrelevance to practitioners
Using service learning to teach sustainable agriculture in downtown Columbia
Project Leaders: Pat Margherio, Dr. Jan Weaver, Nancy Monteer, Dr. Chris Starbuck, Bill McKelveyProposal for the project "Service Learning to Teach Sustainable Agriculture in Downtown Columbia." From the original description: "This direct action interdisciplinary project will investigate sustainability on many levels. Students will improve urban agriculture infrastructure, examine the use of bike trailers, and compost food scrap “waste” from Rollins Dining. Students will design and implement a three-year garden experiment that tests different soil treatments and crop rotations. Data will be collected with hand held computer devices."MU Interdisciplinary Innovations Fun
Realism, empiricism, and fetishism in the study of entrepreneurship
We challenge a stream of thought that focuses on drawing what we see as a frivolous contrast between creation and discovery view of entrepreneurship. Its detachment from the empirical world is tantamount to theoretical “fetishism”. We see opportunities as emergent structures, with ontologically real components, epistemologically real functional relationships, and requiring real human actions and interactions to come to fruition. This calls for building theory based on the strengths of both discovery and creation assumptions. </jats:p
Beyond Gaussian Averages: Redirecting Management Research Toward Extreme Events and Power Laws
Sustainable agriculture
Contributing institution: University of MissouriPreviously hosted as part of Mann Library's Locale collection
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