Data Science at SaferWorldbyDesign
SaferWorldbyDesign offers solution packages to support the early-stage risk assessment of chemicals, covering a range of concerns such as toxicity and environmental impact. Our computational approach integrates physical and chemical properties, toxicological data, read-across, and machine-learning algorithms to evaluate different compounds. The data processing workflow involves data collection, storage, analysis, and reporting, with a focus on structured data inputs and efficient processing methods.
SaferWorldbyDesign's expertise in data science combines technical expertise with strategic thinking, identifying key data sources to analyze and interpret the data and developing predictive models to mitigate potential chemical risks. This can be a very cost-effective approach, especially during early product development. Our data management is driven by EdelweissData™, which organizes data into a single location for easy access and use in various applications. By integrating data insights into the design of safer products and services, SaferWorldbyDesign helps clients mitigate risks and make more economical decisions.