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.

Public Health Relevance

HazPrep is a new form of a social learning platform which includes crowdsourcing and machine learning AI to formulate personalized learning activities at risk workers with an elevated level of risk such as those who can be engaged in activities related to - or working around - hazardous materials, waste generation, removal, containment, transportation, and emergency response. Actual incidents are ingested from OSHA, NFIRS and other sources as scenarios/case studies.

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Small Business Innovation Research Grants (SBIR) - Phase II (R44)
Project #
2R44ES028145-02A1
Application #
9753672
Study Section
Special Emphasis Panel (ZES1)
Program Officer
Remington, James W
Project Start
2017-06-01
Project End
2021-05-31
Budget Start
2019-06-01
Budget End
2020-05-31
Support Year
2
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Inxsol, LLC
Department
Type
DUNS #
839811239
City
Phoenix
State
AZ
Country
United States
Zip Code
85012