Advanced Mathematical Modeling of Decision Making in Alcohol Research
Advanced Mathematical Modeling of Decision Making in Alcohol Research
批准号:
9241939
负责人:
Clintin Philip Davis-Stober
金额:
$14.53万
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-03-10 至 2020-02-28
关键词:
AccidentsAlcohol consumptionAlcoholic IntoxicationAlcoholsAttitudeAutomobile DrivingBehaviorBehavioral ParadigmCollaborationsDataDecision MakingDecision ModelingDevelopmentDrunk drivingEducational workshopExperimental DesignsFundingGamblingGoalsIndividualIntoxicationLiteratureMathematicsMentorsModelingOutcomePropertyPsychologistPsychologyResearchResearch PersonnelResearch ProposalsRiskRisk BehaviorsSeriesStatistical ModelsStimulusStructureTestingTrainingTraining Programsaddictionalcohol consequencesalcohol effectalcohol involvementalcohol researchbasebehavioral economicscareer developmentcombatdesigndiscountdiscountingdrinkingexperienceexperimental studyinsightmathematical modelnovelpreferenceprogramspublic health relevanceresearch studyresponseresponsible alcohol usesuccesssymposium
中文摘要
描述(由申请人提供):候选人克林汀·戴维斯-斯托伯博士是一名数学心理学家,从事行为经济学领域的研究。这个K25应用程序的目标是为戴维斯-斯托伯博士提供机会,在他的导师和顾问的指导下,将他的研究项目扩展到酒精和成瘾研究。行为经济学观点(例如,延迟折扣、需求)的应用使酒精研究领域受益匪浅。该计划的更大目标是加速将行为经济学中的尖端数学决策模型和实验范式纳入酒精研究领域。为此,两位领先的酒精研究人员丹尼斯·麦卡锡博士和肯尼斯·谢尔博士将担任戴维斯-斯托伯博士的导师。正如职业发展和培训计划中详细描述的那样,Davis-Stober博士将通过广泛的课程作业、研讨会、会议以及与导师和顾问的密切合作,获得酒精研究研究方面的专业知识。这个为期四年的培训计划的一个主要目标是让Davis-Stober博士成为酒精研究的独立研究员,其研究计划对R-01级别的资金具有竞争力。与此同时
培训计划是一个合作研究计划,位于酒精研究、行为经济学和高级数学建模的界面上。戴维斯-斯托伯博士将与他的导师们合作,进行一系列酒精管理研究,纳入行为经济学的最新实验设计。这些研究旨在评估一系列重要的决策特性,到目前为止,在酒精领域还没有得到充分的研究。这些研究的数据将通过从数学心理学和行为经济学中提取的最先进的数学和统计模型进行分析。这些模型为理解酒精中毒下的决策提供了新的理论进展。这项研究计划的更广泛影响包括对酒精如何影响个人在做出决定时评估风险后果的能力的新见解。这种洞察力在设计社会方案以打击酒后驾车和相关危险行为的发生方面至关重要。
英文摘要
DESCRIPTION (provided by applicant): The candidate, Dr. Clintin Davis-Stober, is a mathematical psychologist who conducts research in the field of behavioral economics. The goal of this K25 application is to provide Dr. Davis-Stober the opportunity to expand his research program to alcohol and addiction studies, under the guidance of his mentors and consultants. The field of alcohol research has greatly benefitted from the application of behavioral economics perspectives (e.g., delay discounting, demand). The larger goal of this program is to accelerate the incorporation of cutting-edge mathematical decision models and experimental paradigms from behavioral economics into the field of alcohol studies. To this end, two leading alcohol researchers, Dr. Denis McCarthy and Dr. Kenneth Sher, will act as mentors for Dr. Davis-Stober. As detailed in the career development and training plan, Dr. Davis-Stober will gain expertise in alcohol studies research via extensive coursework, workshops, conferences, and intensive collaboration with mentors and consultants. A major goal of this four-year training program is for Dr. Davis-Stober to become an independent investigator in alcohol studies with a research program that is competitive for R-01 level funding. Concurrent with this
training plan is a collaborative research program that lies at the interface of alcohol research, behavioral economics, and advanced mathematical modeling. In collaboration with his mentors, Dr. Davis-Stober will conduct a series of alcohol administration studies that incorporate the latest in experimental design from behavioral economics. These studies are designed to evaluate a host of important decision making properties, heretofore, under-studied in the field of alcohol. Data from these studies will be analyzed via state-of-the-art mathematical and statistical models drawn from mathematical psychology and behavioral economics. These models offer the opportunity for new theoretic advances in the understanding of decision making under alcohol intoxication. The broader impacts of this research program include new insights into how alcohol impacts an individual's ability to evaluate risky consequences when making a decision. This type of insight is crucial in designing societal programs to combat the occurrence of drunk driving and related risk behaviors.
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