2,269 research outputs found
Letter from J. E. Gavin to Louis C. Cramton regarding Sale of Bright Angel Trail
No full textLetter from J. E. Gavin to Louis C. Cramton regarding the Bright Angel Trail controversy, including newspaper clipping
Letter from B. F. Gavin (for Carl Hayden) to Stephen Mather, National Park Service
No full textLetter from Mrs. B. F. Gavin to Stephen Mather regarding the sale of Bass properties to the Santa Fe Railroad Company
D4.2 - Model development and data protocol
Get PDFThe generation of food waste stems from a complex set of interacting behaviours of both food consumers and suppliers. Therefore, a complete approach to the problem requires an analysis of both sources of waste. Both Agent Based Models and Bayesian Networks provide a modelling approach that fits this purpose, since they allow the study of complex systems.
WP4 of the REFRESH project implements a behavioural economics approach in order to identify and measure the most important socio-economic conditions and potential policy interventions driving businesses’ and consumers’ choices in the generation of food waste. More specifically WP4 aims to provide new information on consumer and business behaviour by measuring the effects of major tangible factors of food waste, by identifying hidden and emerging profiles of consumer’ and business’ behaviours affecting food waste, and by allowing the detection of intangible food waste drivers. Such an objective is achieved through the development and the testing of Agent-Based Models (ABMs) and Bayesian networks (BNs).
The report is structured as follows:
Chapter 3 defines what a model is and the modelling approaches that will be utilized within REFRESH WP4.
Chapters 4 and 5 illustrate the characteristics of ABMs and BNs.
Chapter 6 outlines an ABM aimed at assessing the adoption of innovations for preventing or reducing the food waste generated by companies of the retail sector.
Chapter 7 outlines a BN for characterizing consumers’ behaviour with respect to food waste.
Chapter 8 anticipates potential modes of interaction between ABMs and BNs.
Chapter 9 identifies a number of good practices to ensure effective data management and facilitate data exchange
Letter from J. E. Gavin (for Senator Hayden) to Roy W. James, Michael Hanley and H. A. Montgomery
No full textLetter from J. E. Gavin on behalf of Carl Hayden writing in regards to the insurance claims filed with the National Park
Allozyme electrophoresis demonstrates the presence of a species boundary in freshwater crabs (Decapoda: Potamonautidae)
No full textGouws, Gavin, Daniels, Savel R., Stewart, Barbara A. (2002): Allozyme electrophoresis demonstrates the presence of a species boundary in freshwater crabs (Decapoda: Potamonautidae). Journal of Natural History 36 (10): 1199-1222, DOI: 10.1080/00222930110045425, URL: http://www.tandfonline.com/doi/abs/10.1080/0022293011004542
The first statewide, open access dataset tracking public records requests in New Jersey
No full textState freedom of information laws are vital mechanisms for providing public access to government records and supporting civic engagement through the effectuation of a public policy of transparency at the state level within the United States, not unlike their federal counterpart, the Freedom of Information Act (FOIA). New Jersey state law facilitates public access to government records under the Open Public Records Act (OPRA). Codified at N.J.S.A. 47:1A-1 et seq., OPRA applies to state, county and local public authorities but exempts the judicial and legislative branches from its disclosure requirements. Since OPRA took effect in 2002, it has been difficult to track the full extent of law's impact across New Jersey's 21 counties, 565 municipalities, and numerous state agencies, school districts and independent authorities, all of which must individually respond to requests under the law. To the best of the author's knowledge, no official source has compiled detailed metadata tracking the content and disposition of OPRA requests at the state, regional and municipal levels within New Jersey using individual requests, and authorities rarely proactively disclose their responses to requests they receive, necessitating further data collection to support research into the impacts of this law. This article presents the OPRAmachine dataset: data containing detailed metadata on public records requests submitted to state & local public authorities in New Jersey since October 2017 collected through the implementation of information and communication technologies (ICT) to facilitate the freedom of information request process. The data was collected using an open-source web interface that allowed users to submit an OPRA request to public authorities, with responses stored in a database and made available via the internet. After their request received a response, users were asked to answer a single survey question describing the status of their request, with their answer used to classify the request. Descriptive statistics, tables and frequencies were produced for the dataset and are included in this article. These data will assist state policymakers and other interested parties with assessing trends in OPRA requests across multiple types of public authorities & geographic regions. These data can inform more efficient government records management procedures, foster civic engagement by increasing government transparency and can inform the development of possible reforms to the OPRA law by showing trends in requests & responses that can be used to evaluate the law's implementation throughout the state.Peer reviewe
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