The Role Of EHS In Executing And Supporting ESG Strategies (Webinar)

Published 8 June 2022 by Nathan Goldstein & Christopher Sayers &
Active Risk Assessment Carbon Emissions Reporting Carbon Management Software Carbon Reduction Strategies CDP Reporting Climate Change Risk Climate Change Strategy Climate Risk Digital Tech Corporate Governance Disclosure Regulation EFRAG Reporting EHS Analytics EHS Compliance EHS Learning & Training EHS Regulatory Content EHS Services EHS Software Environment, Health & Safety Environmental Impact Environmental Regulations Environmental Requirements ESG & Sustainability ESG Corporate Software ESG Initiatives ESG Performance Improvement ESG Ratings GHG Emissions GHG Emissions Monitoring GHG Information Systems Internal Training Net Zero & Climate Risk Net Zero Emissions Physical Climate Risk Pollution Management SASB Repoting Sustainability Goals Sustainability Reporting Sustainability Risk Management Sustainability Strategy Sustainable Supply Chain TCFD Reporting Webinar

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Executive Summary

As firms elect and are required to disclose to more ESG frameworks, EHS teams will find themselves increasingly in demand as the data they collect is essential. 

Understanding the challenges and best practices that come with this process will be key to a successful disclosure.

Organisations mentioned

About the authors

Nathan Goldstein

Senior Analyst, EHS

Nathan is a Senior Analyst in the Verdantix EHS practice out of the Boston office. His current research agenda focusses on the intersection of Sustainability and ESG trends with the EHS operational sphere. Prior to joining Verdantix, Nathan worked at Bluefield Research where he gained experience in consulting and market research within the global water industry. Nathan holds a MSc in Water: Science and Governance from King’s College London.

Christopher Sayers

Industry Analyst

Chris is an Industry Analyst in the Verdantix EHS practice. His current research agenda focuses on digital mental health and wellbeing solutions. Chris joined Verdantix in 2020 and has previous experience at EY, where he specialised in robotic process automation (RPA). He holds an M.Eng. in Engineering Science from Oxford University with a concentration in machine learning and machine vision.

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