What's next for sustainable food systems

As we prepare to ring in the New Year, holiday meals are on our minds and on many of our listeners' tables. In this episode of the All Things Sustainable podcast, we're exploring how some companies are working to make food systems more sustainable.  We talk with Ethan Soloviev, Chief Innovation Officer at HowGood, a research and data company focused on food sustainability. He explains the benefits of sustainable farming practices, also known as regenerative agriculture.  Kristina Friedman, Head of Sustainability for North America at Unilever, tells us how the consumer goods giant uses regenerative agriculture practices to support farmers and improve supply chain stability.   And we talk with Paloma Lopez, Chief Sustainability and Communications Officer and Head of Impact, Trust and Ethics at Bel U.S., which is part of food producer Bel Group. Paloma outlines how transitioning to regenerative agriculture is key to the company's decarbonization plan, its efforts to preserve biodiversity and the resiliency of its supply chain.  Listen to our prior episode featuring Kristina Friedman of Unilever here.  Learn about S&P Global's Agriculture Sustainability Service  We conducted these interviews during Climate Week NYC at The Nest Climate Campus, where the All Things Sustainable podcast was an official media partner.  Copyright ©2025 by S&P Global        DISCLAIMER       By accessing this Podcast, I acknowledge that S&P GLOBAL makes no warranty, guarantee, or representation as to the accuracy or sufficiency of the information featured in this Podcast. The information, opinions, and recommendations presented in this Podcast are for general information only and any reliance on the information provided in this Podcast is done at your own risk.    Any unauthorized use, facilitation or encouragement of a third party's unauthorized use (including without limitation copy, distribution, transmission or modification, use as part of generative artificial intelligence or for training any artificial intelligence models) of this Podcast or any related information is not permitted without S&P Global's prior consent subject to appropriate licensing and shall be deemed an infringement, violation, breach or contravention of the rights of S&P Global or any applicable third-party (including any copyright, trademark, patent, rights of privacy or publicity or any other proprietary rights).     This Podcast should not be considered professional advice. Unless specifically stated otherwise, S&P GLOBAL does not endorse, approve, recommend, or certify any information, product, process, service, or organization presented or mentioned in this Podcast, and information from this Podcast should not be referenced in any way to imply such approval or endorsement.  The third party materials or content of any third party site referenced in this Podcast do not necessarily reflect the opinions, standards or policies of S&P GLOBAL. S&P GLOBAL assumes no responsibility or liability for the accuracy or completeness of the content contained in third party materials or on third party sites referenced in this Podcast or the compliance with applicable laws of such materials and/or links referenced herein. Moreover, S&P GLOBAL makes no warranty that this Podcast, or the server that makes it available, is free of viruses, worms, or other elements or codes that manifest contaminating or destructive properties.   S&P GLOBAL EXPRESSLY DISCLAIMS ANY AND ALL LIABILITY OR RESPONSIBILITY FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, CONSEQUENTIAL OR OTHER DAMAGES ARISING OUT OF ANY INDIVIDUAL'S USE OF, REFERENCE TO, RELIANCE ON, OR INABILITY TO USE, THIS PODCAST OR THE INFORMATION PRESENTED IN THIS PODCAST.