1,419 research outputs found
John Conlon Oral History Interview
No full textOral history interview with recreational fisherman John Conlon. Conlon has been fishing the waters off of Fort Pierce since 1974, both for his own pleasure and part-time as a charter boat captain. He is very familiar with the Oculina Bank, having fished there for twenty years. He had to stop going there in 1994 when the area was closed to grouper and snapper fishing. Despite the closure, the grouper fishery has continued to decline, which Conlon attributes to commercial longlining. In Conlon\u27s opinion, closing the Oculina Bank has proved that closed areas are not an effective fishery management area: the kingfishery has recuperated not by closing an area but by managing the breeding stock. He believes that size limits and closed seasons are the best options. One of his primary concerns is freshwater runoff in the Indian River Lagoon, which is a large spawning area. In this interview, Conlon also describes some of his fishing techniques and practices
Replicating Conlon & Patel 2023
No full textIn Conlon & Patel (2023), we find that providing information to US college students about career outcomes by major affects their major intentions and later choices. Here we replicate that experimental design in another (smaller) cohort of experimental participants
John J. Conlon Elected Vice President of Freshman Class
No full textNews release announces John J. Conlon has been elected vice president of the University of Dayton freshman class
Replication Data for: Major Malfunction: A Field Experiment Correcting Undergraduates’ Beliefs about Salary
No full textIncludes data and do-file to replicate the tables and figures in Major Malfunction
Replication Data for: Major Malfunction: A Field Experiment Correcting Undergraduates’ Beliefs about Salary
No full textIncludes data and do-file to replicate the tables and figures in Major Malfunction
Hoboken policemen, group photo at side of building.
No full text1) D. Kiely, 2) Capt. Garrick, 3) John McKenna, 4) P. Gerhardt, 5) J. Hildeman, 6) J. Conlon, 7) O'Driscoll, 8) Delaney, 9) ???, 10) Capt. Flattony. ca. 188
Letter from Michael Conlon to John Savage, July 9, 1869
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Previous issue date: 2002-07-25Made available in DSpace on 2013-10-09T10:20:45Z (GMT). No. of bitstreams: 11
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Previous issue date: 2002-07-2
AA Conlon, Julius Stone, and Bernie Sugarman
No full textThe Making of the ANU' - Installation Ceremony for First Chancellor of ANU, etc. - Helen Hughes, C. S. Daley, John Passmore, Susan Sergeantson, J. W. Davidson, C. Gibb, H. McQueen, Iain McCalman, J. J. Dedman, Adrien Albert, Prof. I. O. 'Junji' Orubuloye, Jack Caldwell, A. A. Conlon, Julius Stone, Bernie Sugarman J., Ernest Llewellyn, Sir Malcolm Seargent, Lauri Kennedy, William Herbert, Jacqueline Ta Quang, Sir Geoffrey Yeend, Kath Luff, Noel Butlin, Jim Perkins, Ted Hannan, J. Catt, W. Hogan, D. Rawson, Dr. Mousumee Dutta, Phil Peters, Bill Morrison, Dick Woollcott, Tony Powell & other
How people use statistics
No full textWe document two new facts about the distributions of answers in famous statistical problems: they are i) multi-modal and ii) unstable with respect to irrelevant changes in the problem. We offer a model in which, when solving a problem, people represent each hypothesis by attending “bottom up” to its salient features while neglecting other, potentially more relevant, ones. Only the statistics associated with salient features are used, others are neglected. The model unifies biases in judgments about i.i.d. draws, such as the Gambler’s Fallacy and insensitivity to sample size, with biases in inference such as under- and overreaction and insensitivity to the weight of evidence. The model makes predictions about how changes in the salience of specific features should jointly shape the prevalence of these biases and measured attention to features, but also create entirely new biases. We test and confirm these predictions experimentally. Bottom-up attention to features emerges as a unifying framework
for biases conventionally explained using a variety of stable heuristics or distortions of the Bayes rule
Peru's ancient water systems can help protect communities from shortages caused by climate change
No full textWater is essential for human life, but in many parts of the world water supplies are under threat from more extreme, less predictable weather conditions due to climate change. Nowhere is this clearer than in the Peruvian Andes, where rising temperatures and receding glaciers forewarn of imminent water scarcity for the communities that live there.Throwing money and resources into engineering projects does not always guarantee success when trying to combat the effects of climate change and protect vulnerable communities. But the marriage of ancient and modern technologies offers promising solutions to the threat of water scarcity in Peru, and places like it all across the world.Fil: Conlon, Susan. University of Bristol; Reino UnidoFil: Lane, Kevin John. Universidad de Buenos Aires. Facultad de Filosofía y Letras. Instituto de Arqueología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin
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