Phase II - HazPrep Worker Training - Community Risk Profile

第二阶段 - HazPrep 工人培训 - 社区风险概况

基本信息

批准号：
9753672
负责人：
Henry Ryng
金额：
$ 19.99万
依托单位：
INXSOL, LLC
依托单位国家：
美国
项目类别：
财政年份：
2017
资助国家：
美国
起止时间：
2017-06-01 至 2021-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9753672
关键词：
Accidents Achievement Address Algorithms Authorization documentation Awareness Big Data Businesses Case Study Code Coin Communities Community of Practice Containment Credentialing Data Databases Effectiveness Emergency Situation Emergency response Event Excision Exercise Feasibility Studies Feedback Feeds Fees Fire - disasters Formulation Fostering Frequencies Generations Hazardous Substances Hazardous Waste Health Individual Ingestion Injury Internet Knowledge Learning Legal patent Libraries Location Machine Learning Maintenance Metadata Methods Modeling National Institute of Environmental Health Sciences Occupations Pathway interactions Performance Phase Plants Privatization Process Production Recording of previous events Records Reporting Resources Risk S Phase Safety Site Source System Systems Integration Techniques Technology Testing Time Training Transportation Update Work base cloud based commercialization crowdsourcing data archive design e-commerce emergency service responder experience feeding first responder flexibility handheld mobile device hazard innovation learning strategy machine learning algorithm off-patent personalized learning portability programs prototype repaired skills social learning tool wasting web site

项目摘要

PROJECT SUMMARY/ABSTRACT A worker's personal hazard profile (PHP) is a function of hazards present and his/her exposure level to those hazards. Workers with an elevated level of risk are those who can be engaged in activities related to - or working around - hazardous materials, waste generation, removal, containment, transportation, and emergency response. inXsol’s Phase I feasibility study verified appeal and effectiveness of a new form of crowdsourced social learning platform. Our approach using cloud technology creates a dynamically growing library of incidents/scenarios, highly personalized (occupation/task/geo) risk profile and generates learning activities to train on risk awareness and mitigation techniques. The Phase II proposal includes implementation of an innovative use of big data algorithms for community profiles and fusion with PHP allowing for targeted and personalized training completing the HazPrep prototype developed and exercised by our beta test team in Phase I.

项目摘要/摘要工人的个人危害概况（PHP）是存在危险和她的暴露的功能那些危害的危险水平。与 - 或周围工作有关的活动 - 危害材料，废物产生，清除，遏制，运输和紧急响应。众包社会学习平台的新形式的吸引力和有效性使用云技术创建动态增长的事件/场景库，高度个性化（职业/任务/地理）风险概况，并生成学习活动以培训风险大致命和缓解技术。创新使用大数据算法，用于社区概况和与PHP融合的创新使用允许有针对性和个性化的培训与开发和行使的Hazpretype竞争由我们的Beta测试团队在第一阶段。