Month: June 2025
EU Lawmaker Pushes for Deeper Cuts to Corporate Sustainability Rules
P&G Partners to Scale Circular Approach to Chemical Production
International Battery Metals to Showcase Commercial DLE Success at Conferences and Exhibitions in June 2025
VANCOUVER, BC and PLANO, TX, June 12, 2025 /PRNewswire/ – International Battery Metals Ltd. (“IBAT” or the “Company“) (TSXV: IBAT) is proud to announce its participation as a featured industry leader at both the Direct Lithium Extraction USA Conference and Exhibition 2025, taking place June 16–17 in Houston, Texas, as well as the Fastmarkets 17th Lithium Supply & Battery Raw Materials Conference, taking place June 23-26 in Las Vegas, Nevada.
As part of the Houston conference program, IBAT Chief Executive Officer Joe Mills will deliver a keynote presentation on Monday, June 16, at 11:30 a.m. Central Time. His talk will spotlight IBAT’s significant achievement as the first company to produce lithium chloride at commercial scale in North America using a modular, chemical-free Direct Lithium Extraction (DLE) technology. IBAT’s participation underscores the company’s role in advancing next-generation lithium supply solutions to meet the surging global demand driven by electric vehicles, grid storage, and energy transition targets.
At the Las Vegas conference, IBAT’s CEO Joe Mills and CTO Dr. John Burba will take the stage to highlight the company’s commercial-scale success and technology leadership in modular, chemical-free Direct Lithium Extraction (DLE).
- On Tuesday, June 24 at 10:30 a.m. PT, Chief Executive Officer Joe Mills will deliver a keynote presentation titled “Commercial DLE in Action: Thriving Through Market Volatility.” He will share insights into the operational success of IBAT’s first-of-its-kind commercial DLE plant, built for performance, resilience, and environmental sustainability.
- On Wednesday, June 25 at 4:40 p.m. PT, Dr. John Burba, IBAT’s Founder and Chief Technology Officer, will speak on the panel “DLE: Scaling Up for the Future.” The discussion will focus on the critical requirements for rapidly deploying next-generation DLE technologies at global scale, informed by decades of industry-leading innovation and field-tested performance.
“As the lithium sector evolves, the need for scalable, environmentally responsible technologies has never been more urgent,” said Joe Mills, CEO of IBAT. “IBAT is not just part of the conversation, we are demonstrating real-world results at commercial scale. We look forward to sharing our story in Las Vegas.” IBAT’s proprietary modular platform achieves up to 95% lithium recovery, 99.9% purity, and 99% water recycling, all while operating without chemical additives. The company’s field-validated solution is designed for agility, enabling rapid deployment and meaningful impact in both established and emerging lithium markets. Attendees of the Fastmarkets Conference are encouraged to join both sessions and connect with IBAT leadership during the event to explore partnership opportunities and technology applications.
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SOURCE International Battery Metals Ltd.
AMD Surpasses 30×25 Goal, Sets Ambitious New 20x Efficiency Target
At a Glance:
- AMD has exceeded its 30×25 goal, achieving a 38x increase in node-level energy efficiency for AI-training and HPC, which equates to a 97% reduction in energy for the same performance compared to systems from just five years ago.
- AMD has set a new 2030 goal to deliver a 20x increase in rack-scale energy efficiency from a 2024 base year, enabling a typical AI model that today requires more than 275 racks to be trained in under one rack by 2030, using 95% less electricity.
- Combined with software and algorithmic advances, the new goal could enable up to a 100x improvement in overall energy efficiency
At AMD, energy efficiency has long been a guiding core design principle aligned to our roadmap and product strategy. For more than a decade, we’ve set public, time-bound goals to dramatically increase the energy efficiency of our products and have consistently met and exceeded those targets. Today, I’m proud to share that we’ve done it again, and we’re setting the next five-year vision for energy efficient design.
Today at Advancing AI, we announced that AMD has surpassed our 30×25 goal, which we set in 2021 to improve the energy efficiency of AI-training and high-performance computing (HPC) nodes by 30x from 2020 to 2025.1 This was an ambitious goal, and we’re proud to have exceeded it, but we’re not stopping here.
As AI continues to scale, and as we move toward true end-to-end design of full AI systems, it’s more important than ever for us to continue our leadership in energy– efficient design work. That’s why today, we’re also setting our sights on a bold new target: a 20x improvement in rack-scale energy efficiency for AI training and inference by 2030, from a 2024 base year.2
Building on a Decade of Leadership
This marks the third major milestone in a multi-decade effort to advance efficiency across our computing platforms. In 2020, we exceeded our 25×20 goal by improving the energy efficiency of AMD mobile processors 25-fold in just six years.3 The 30×25 goal built on that momentum, targeting AI and HPC workloads in accelerated nodes. And now, the 20x by 2030 rack-scale goal reflects the next frontier, not just focused on chips, but smarter and more efficient systems, from silicon to full rack integration to address data center level power requirements.
Surpassing 30×25
Our 30×25 goal was rooted in a clear benchmark, to improve the energy efficiency of our accelerated compute nodes by 30x compared to a 2020 base year. This goal represented more than a 2.5x acceleration over industry trends from the previous five years (2015-2020). As of mid-2025, we’ve gone beyond that, achieving a 38x gain over the base system using a current configuration of four AMD Instinct™ MI355X GPUs and one AMD EPYC™ 5th Gen CPU.4 That equates to a 97% reduction in energy for the same performance compared to systems from just five years ago.
We achieved this through deep architectural innovations, aggressive optimization of performance-per-watt, and relentless engineering across our CPU and GPU product lines.
A New Goal for the AI Era
As workloads scale and demand continues to rise, node-level efficiency gains won’t keep pace. The most significant efficiency impact can be realized at the system level, where our 2030 goal is focused.
We believe we can achieve 20x increase in rack-scale energy efficiency for AI training and inference from 2024 by 2030, which AMD estimates exceeds the industry improvement trend from 2018 to 2025 by almost 3x. This reflects performance-per-watt improvements across the entire rack, including CPUs, GPUs, memory, networking, storage and hardware-software co-design, based on our latest designs and roadmap projections. This shift from node to rack is made possible by our rapidly evolving end-to-end AI strategy and is key to scaling datacenter AI in a more sustainable way.
What This Means in Practice
A 20x rack-scale efficiency improvement at nearly 3x the prior industry rate has major implications. Using training for a typical AI model in 2025 as a benchmark, the gains could enable:5
- Rack consolidation from more than 275 racks to <1 fully utilized rack
- More than a 95% reduction in operational electricity use
- Carbon emission reduction from approximately 3,000 to 100 metric tCO2 for model training
These projections are based on AMD silicon and system design roadmap and a measurement methodology validated by energy-efficiency expert Dr. Jonathan Koomey.
“By grounding the 2030 target in system-level metrics and transparent methodology, AMD is raising the bar for the industry,” Dr. Koomey said. “The target gains in rack-scale efficiency will enable others across the ecosystem, from model developers to cloud providers, to scale AI compute more sustainably and cost-effectively.”
Looking Beyond Hardware
Our 20x goal reflects what we control directly: hardware and system-level design. But we know that even greater delivered AI model efficiency gains will be possible, of up to 5x over the goal period, as software developers discover smarter algorithms and continue innovating with lower-precision approaches at current rates. When those factors are included, overall energy efficiency for training a typical AI model could improve by as much as 100x by 2030.6
While AMD is not claiming that full multiplier in our own goal, we’re proud to provide the hardware foundation that enables it — and to support the open ecosystem and developer community working to unlock those gains. Whether through open standards, our open software approach with AMD ROCm™, or our close collaboration with our partners, AMD remains committed to helping innovators everywhere scale AI more efficiently.
What Comes Next
As we close one chapter with 30×25 and open the next with this new rack-scale goal, we remain committed to transparency, accountability, and measurable progress. This approach sets AMD apart and is necessary as we advance how the industry approaches efficiency as demand and deployment of AI continues to expand.
We’re excited to keep pushing the limits, not just of performance, but also what’s possible when efficiency leads the way. As the goal progresses, we will continue to share updates on our progress and the effects these gains are enabling across the ecosystem.
Footnotes
- Includes high-performance CPU and GPU accelerators used for AI training and High-Performance Computing in a 4-Accelerator, CPU hosted configuration. Goal calculations are based on performance scores as measured by standard performance metrics (HPC: Linpack DGEMM kernel FLOPS with 4k matrix size; AI training: lower precision training-focused floating-point math GEMM kernels operating on 4k matrices) divided by the rated power consumption of a representative accelerated compute node including the CPU host + memory, and 4 GPU accelerators.
- AMD based advanced racks for AI training/inference in each year (2024 to 2030) based on AMD roadmaps, also examining historical trends to inform rack design choices and technology improvements to align projected goals and historical trends. The 2024 rack is based on the MI300X node, which is comparable to the Nvidia H100 and reflects current common practice in AI deployments in 2024/2025 timeframe. The 2030 rack is based on an AMD system and silicon design expectations for that time frame. In each case, AMD specified components like GPUs, CPUs, DRAM, storage, cooling, and communications, tracking component and defined rack characteristics for power and performance. Calculations do not include power used for cooling air or water supply outside the racks but do include power for fans and pumps internal to the racks.Performance improvements are estimated based on progress in compute output (delivered, sustained, not peak FLOPS), memory (HBM) bandwidth, and network (scale-up) bandwidth, expressed as indices and weighted by the following factors for training and inference.
| FLOPS | HBM BW | Scale-up BW | |
| Training | 70.0% | 10.0% | 20.0% |
| Inference | 45.0% | 32.5% | 22.5% |
- Performance and power use per rack together imply trends in performance per watt over time for training and inference, then indices for progress in training and inference are weighted 50:50 to get the final estimate of AMD projected progress by 2030 (20x). The performance number assumes continued AI model progress in exploiting lower precision math formats for both training and inference which results in both an increase in effective FLOPS and a reduction in required bandwidth per FLOP.
- https://www.amd.com/en/newsroom/press-releases/2020-6-25-amd-exceeds-six-year-goal-to-deliver-unprecedented.html
- EPYC-030a: Calculation includes 1) base case kWhr use projections in 2025 conducted with Koomey Analytics based on available research and data that includes segment specific projected 2025 deployment volumes and data center power utilization effectiveness (PUE) including GPU HPC and machine learning (ML) installations and 2) AMD CPU and GPU node power consumptions incorporating segment-specific utilization (active vs. idle) percentages and multiplied by PUE to determine actual total energy use for calculation of the performance per Watt. 38x is calculated using the following formula: (base case HPC node kWhr use projection in 2025 * AMD 2025 perf/Watt improvement using DGEMM and TEC +Base case ML node kWhr use projection in 2025 *AMD 2025 perf/Watt improvement using ML math and TEC) /(Base case projected kWhr usage in 2025). For more information, https://www.amd.com/en/corporate/corporate-responsibility/data-center-sustainability.html.
- AMD estimated the number of racks to train a typical notable AI model based on EPOCH AI data (https://epoch.ai). For this calculation we assume, based on these data, that a typical model takes 1025 floating point operations to train (based on the median of 2025 data), and that this training takes place over 1 month. FLOPs needed = 10^25 FLOPs/(seconds/month)/Model FLOPs utilization (MFU) = 10^25/(2.6298*10^6)/0.6. Racks = FLOPs needed/(FLOPS/rack in 2024 and 2030). The compute performance estimates from the AMD roadmap suggests that approximately 276 racks would be needed in 2025 to train a typical model over one month using the MI300X product (assuming 22.656 PFLOPS/rack with 60% MFU) and <1 fully utilized rack would be needed to train the same model in 2030 using a rack configuration based on an AMD roadmap projection. These calculations imply a >276-fold reduction in the number of racks to train the same model over this six-year period. Electricity use for a MI300X system to completely train a defined 2025 AI model using a 2024 rack is calculated at ~7GWh, whereas the future 2030 AMD system could train the same model using ~350 MWh, a 95% reduction. AMD then applied carbon intensities per kWh from the International Energy Agency World Energy Outlook 2024 [https://www.iea.org/reports/world-energy-outlook-2024]. IEA’s stated policy case gives carbon intensities for 2023 and 2030. We determined the average annual change in intensity from 2023 to 2030 and applied that to the 2023 intensity to get 2024 intensity (434 CO2 g/kWh) versus the 2030 intensity (312 CO2 g/kWh). Emissions for the 2024 baseline scenario of 7 GWh x 434 CO2 g/kWh equates to approximately 3000 metric tC02, versus the future 2030 scenario of 350 MWh x 312 CO2 g/kWh equates to around 100 metric tCO2.
- Regression analysis of achieved accuracy/parameter across a selection of model benchmarks, such as MMLU, HellaSwag, and ARC Challenge, show that improving efficiency of ML model architectures through novel algorithmic techniques, such as Mixture of Experts and State Space Models for example, can improve their efficiency by roughly 5x during the goal period. Similar numbers are quoted in Patterson, D., J. Gonzalez, U. Hölzle, Q. Le, C. Liang, L. M. Munguia, D. Rothchild, D. R. So, M. Texier, and J. Dean. 2022. “The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink.” Computer. vol. 55, no. 7. pp. 18-28.” Therefore, assuming innovation continues at the current pace, a 20x hardware and system design goal amplified by a 5x software and algorithm advancements can lead to a 100x total gain by 2030.
Youth Serving Nonprofits Showcase Community Impact through Baltimore Children & Youth Fund’s 2025 Community Exhibition
BALTIMORE, June 12, 2025 /PRNewswire/ — On June 3, over 250 community members, leaders, and mentors gathered at Baltimore Unity Hall for the Baltimore Children & Youth Fund’s (BCYF) second annual Community Exhibition. The evening was a celebration of the impact made by the city’s youth serving nonprofits and an inside look into their plans for the future, including the launch of #bcreds. The new online program designed by BCYF specifically for grassroots and community-based organizations offers accessible, high-quality financial learning experiences across all devices.
This high-energy event was the culmination of BCYF’s 6-month city-wide learning series titled the learning lab, diligently designed to strengthen Baltimore’s youth development ecosystem. Each event over the past six months was curated with one intention in mind: to explore innovative models and strategies that align with BCYF’s city-wide initiative to build Baltimore’s very own Youth Master Plan (YMP).
With opening remarks from community leader and partner, Mayor Brandon Scott, attendees were welcomed into an immersive experience highlighting the grantees’ accomplishments that would not have been possible without BCYF’s financial support and capacity building programs.
“This Community Exhibition is what happens when you invest in grassroots leaders and give the space, support, and respect that they need to be successful. Through the learning lab, BCYF has created a dynamic citywide experience with one thousand participants and 60 hours of programming with a focus on equipping youth and adult leaders with the skills, networks and tools to help them grow into better versions of themselves,” Mayor Scott explained. “The results speak for themselves. They are building a capacity for these grassroots organizations making them more sustainable, more connected, and even more impactful.”
While grassroots leaders showcased their masterful storytelling skills upstairs developed through the learning lab, participants also indulged in an immersive gallery walk and live demonstrations for #bcreds downstairs.
“Walking through the gallery and seeing just how much output and outcomes these youth serving organizations have been able to make within our community was extremely moving,” one attendee recalled. “These organizations are not only protecting our future leaders through their programming, but they are introducing them to things like the arts, STEM, marketing, and yoga that they otherwise would have never experienced. As the community leaders shared their organizations success stories, many of their previous youth participants were in the audience. They shared how they have received scholarships, graduated college debt-free and returned to serve the same community that poured into them during their adolescence.”
Nonprofit and grassroots organizations were also invited to sign up for #bcreds to strengthen their capacity through short, skills-based learning opportunities focused on real-world topics like financial management, strategic planning, fundraising, and program design. The web-based learning program was thoughtfully designed with retention in mind, ensuring users actively absorb the material rather than simply read through it.
The first #bcreds course is now available online, titled Making $ense: Reading Financial Statements for Nonprofits. The course teaches users how to read and analyze financial documents to increase their confidence as their organizations prepare for financial planning and growth opportunities. These self-paced training sessions are free and accessible to anyone serving Baltimore’s youth, underscoring BCYF’s commitment to not just building programs, but strengthening the organizations behind them.
Events like the learning lab and platforms like #bcreds offer a national invitation for communities to rethink how learning, leadership, and community investment go hand in hand—positioning Baltimore as a model for innovation in nonprofit management and youth development.
For more information about BCYF and the learning lab, visit bcyfund.org/connect/learninglab. For more information about #bcreds, visit bcyfund.org/connect/bcreds.
About the Baltimore Children & Youth Fund:
The effort to create a dedicated fund to support programs for Baltimore’s young people was launched in 2015 by then-City Council President Bernard “Jack” C. Young — a response to the unrest in Baltimore following the death of Freddie Gray while in police custody, an event that sharply illuminated longstanding inequities in public funding in Black communities. Supported by Baltimore City residents’ tax dollars, since 2020 BCYF has awarded over $31M to Baltimore programs serving children and youth.
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SOURCE Baltimore Children & Youth Fund
CNH’s Latest AI Sprayer Precision Tech Goes Beyond the Boom
An innovation from CNH uniting real time crop analysis and automated spraying now comes built-in for its Case IH, New Holland and Miller brands’ sprayer portfolio.
Machine learning and camera sensing technology are proving how powerfully AI supports agriculture by boosting efficiency, reducing input costs, and helping farmers grow more sustainably.
This smart sprayer precision tech detects green on brown (weeds on soil) and then delivers the precise application of inputs such as water, herbicides and fertilizers – saving on resources and cutting down chemical use, resulting in more productive acres.
The latest installment in CNH’s ‘A Sustainable Year’ series delves into the technology behind this breakthrough and talks to an American farming family tending to 40,000 acres about the benefits they’re already seeing on the ground.
Read the full story at: publications.cnhindustrial.com/a-sustainable-year-2024-2025/senseapply-technology
Güntner Drives Group-Wide Innovation in 2024 Sustainability Report
FÜRSTENFELDBRUCK, Germany–(BUSINESS WIRE)–Güntner, a global leader in refrigeration and heat exchange technology, today announced its featured role in the newly released 2024 A-HEAT Sustainability Report. The report outlines significant progress toward ambitious environmental goals—fueled by Güntner’s commitment to measurable, innovation-led sustainability. Working toward its 2030 sustainability targets, Güntner delivered significant achievements across key areas including natural refrigerati
LS Power Acquires ENGIE Services U.S; 50+ Year Legacy Company Returns to Its Roots as OPTERRA Energy Services to Expand Efficiency and Renewables Offerings
OPTERRA’s National Reach Includes 9,000+ Energy Projects, 375 MW of Solar, 24 Microgrids
and $3B Guaranteed Energy Cost Savings to Date
NEW YORK and OAKLAND, Calif., June 12, 2025 /PRNewswire/ — LS Power, a leading development, investment and operating company focused on the North American power and energy infrastructure sector, today announced the completion of its acquisition of ENGIE Services U.S. As part of the purchase, ENGIE Services has rebranded to its previous name, OPTERRA Energy Services (“OPTERRA”). OPTERRA has more than 50 years of operational experience and a deep track record, building upon LS Power’s long history of delivering reliable, cost-effective and innovative energy solutions.
OPTERRA provides comprehensive energy solutions including energy efficiency upgrades, renewable energy systems, energy storage, microgrids, operations and maintenance, HVAC and lighting as well as measurement and verification services.
Since 1974, OPTERRA has completed more than 9,000 public sector projects across North America. Notable examples include:
- The modernization of 72,000 streetlights for the District of Columbia
- Chula Vista Elementary School District’s 8.1 megawatts of solar installed across 48 sites and microgrid for emergency backup.
- The City of Milpitas’ integrated energy and water savings program, which is projected to save the city more than $30 million.
Additional customers include the Department of Veterans Affairs, Broward County, Florida, the City of Arlington, Texas, and the Oregon Community Unit School District in Illinois. In all, OPTERRA has installed/delivered 375 MW of solar power and 24 active microgrid projects, supporting cities, counties, federal markets and educational institutions.
“Meeting America’s growing energy demand will require a ‘more-of-everything’ approach—and the energy services market is an integral piece of that puzzle,” said LS Power CEO Paul Segal. “The addition of OPTERRA brings a rare combination of leadership talent, technical expertise and trusted customer relationships that enhance LS Power’s energy solutions platform. Their cutting-edge capabilities in energy efficiency services and low-carbon offerings are a strategic fit as we continue to expand our portfolio of power and infrastructure solutions.”
OPTERRA joins LS Power’s existing portfolio of energy infrastructure companies that provide energy efficiency and grid reliability services. Across these efforts, along with renewables and flexible gas generation, LS Power is both enhancing the nation’s power supply capacity and providing smart, customer-focused demand-side services.
“Reintroducing OPTERRA under LS Power marks an exciting new chapter for our legacy team dedicated to serving the public sector,” said Courtney Jenkins, CEO of OPTERRA Energy Services. “We’re building on a proven foundation to deliver innovative, leading-edge technology solutions that make energy efficiency and low carbon projects accessible and impactful. Through our unique range of in-house experts, we empower our customers to meet aggressive goals around financial savings and energy resiliency that have a positive ripple effect across the communities we serve, fueling accelerated growth for both our customers and our mission.”
OPTERRA is headquartered in Oakland, California, and employs nearly 300 professionals. OPTERRA’s services and solutions have helped customers ranging from municipalities, K-16 education, special districts and state and federal agency partners achieve over $3 billion in guaranteed energy cost savings to date.
The transaction closed on June 12, 2025, following the satisfaction of customary closing conditions, including regulatory approvals in the United States.
About OPTERRA Energy Services:
OPTERRA partners with public sector stakeholders to meet the unique goals of communities nationwide. Our team customizes projects with top-tier technology to deliver lasting impact, enhancing fiscal savings and community engagement. With over 50 years of experience, we ensure our customers’ long-term success through tailored solutions that support their vision. By deeply engaging and understanding specific goals, we deliver on the mission our customers envision. For more information please visit: www.opterraenergy.com
About LS Power:
Founded in 1990, LS Power is a premier development, investment, and operating company focused on the North American power and energy infrastructure sector, with leading platforms across generation, transmission and energy expansion solutions. Since inception, LS Power has developed or acquired 50,000 MW of power generation, including utility-scale solar, wind, hydro, battery energy storage, and natural gas-fired facilities. Through its transmission business, LS Power Grid has built 780+ miles of high-voltage transmission with an additional 350+ miles currently under construction or development. LS Power actively invests in and scales businesses that are meeting the growing needs of the energy expansion, including electric vehicle charging, demand response, microgrids, renewable fuels and waste-to-energy platforms. Over the years, LS Power has raised more than $65 billion in debt and equity capital to support North American infrastructure. For information, please visit www.LSPower.com.
Media Contacts:
Prosek Partners for LS Power
Pro-LScomms@prosek.com
OPTERRA Energy Services
Anne Smith
asmith@opterraenergy.com
408-313-8089
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SOURCE LS Power
Climate Policy Wins Led by Frontline Communities Deliver Great Impact
The Solutions Project releases 2024 analysis of major environmental and climate justice wins across the U.S.
OAKLAND, Calif., June 12, 2025 /PRNewswire/ — Just Solutions, in partnership with The Solutions Project, released a new report, “Analysis of Innovative Environmental & Climate Policy Achievements,” that showcases nine community-driven policy wins that are advancing solutions to the climate crisis at the local, state, and federal levels. These policies have the potential to benefit more than 41 million people and unlock over $4.3 billion in public investments annually.
These policies were the result of multi-year community organizing campaigns led by frontline groups, most of which are Black, Indigenous, and Communities of Color, reflecting the fact that these communities are disproportionately impacted by climate change. These wins help combat and mitigate environmental harm, while also creating job opportunities, driving clean energy, and public health investments.
“At a moment when the federal government is attempting to gut climate investments, and rollback legislation and hard won progress, this report provides evidence of on the ground expertise and what’s possible when frontline communities are resourced to lead,” said Gloria Walton, President & CEO of The Solutions Project. “Our grantee partners aren’t just shaping policy, they are creating bold, lasting impact to show what a Just Transition looks like in action. Together, these wins offer a roadmap for climate policies that centers equity and accountability. Now more than ever, we have to trust community leaders and resource them like never before.”
Major policies highlighted in the report include:
- New York’s Climate Superfund Act that requires fossil fuel companies to pay an estimated $3 billion annually to fund climate resilience
- Chevron Settlement in Richmond, CA which resulted in a historic $550 million over 10 years investment to the communities from one of the country’s largest polluters
- Federal EPA rule on chemical emissions, a major win for Gulf South communities that have been organizing for years to reduce toxic pollution
“The findings show that solutions to the climate crisis are all around us, being developed and advanced by the local communities directly and disproportionately impacted,” said Aiko Schaefer, Director of Just Solutions. “Positive change is not only possible, it is actually happening in so many places already. What is needed is more funding to scale and to replicate successful programs, support new ideas, and enforce and protect climate solutions that already exist.”
While the wins highlighted in the report are significant, many are now under political threat from the current administration. Sustained philanthropic support is critical to defend and support these wins, to scale proven models that work, and advance new community-driven policies.
Contact: Ming Liu
Ming@thesolutionsproject.org
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SOURCE The Solutions Project
