📢 Fresh off the press! Excited to share my new Policy Brief: “Seeing Sustainability Differently: New Metrics and Ethical Data Governance for a Just Transition”, authored by yours truly for the SPES Sustainability Performances, Evidence & Scenarios, funded by #HorizonEurope. We argue that just transitions require more than technical fixes – they demand rethinking how we see, measure, and govern sustainability. This brief outlines actionable steps for ethical, inclusive, and effective data generation and use in transition policymaking. 🚩 Key Policy Recommendations: 1 Establish EU-wide ethical guidelines for the use of novel data in transition monitoring, ensuring privacy, fairness, and cross-border comparability. 2 Fund and promote open, transparent datasets and mandate methodological transparency in all EU-funded sustainability programs. 3 Enable GDPR-compliant access to platform data for public interest research, while safeguarding vulnerable communities. 4 Recognize citizen-generated data as legitimate and embed public participation in environmental governance processes. 5 Boost public sector data literacy and create inclusive, participatory processes for data governance at all levels. 📘 Download the full brief here: https://lnkd.in/eNgNh3aR Let’s work toward transitions that are not just smart – but just. #JustTransition #EthicalData #SustainabilityMetrics #OpenData #DataJustice #SPES #HorizonEurope #PolicyBrief #EnvironmentalGovernance #CitizenScience
Improving data systems for climate justice
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Summary
Improving data systems for climate justice means building digital tools and processes that make climate information more inclusive, transparent, and responsive to the needs of diverse communities, especially those most impacted by environmental change. This approach ensures that climate policies consider social equity and support fair outcomes for everyone, not just a select few.
- Expand data access: Support open and transparent climate data initiatives so that community groups and researchers can participate in decision-making.
- Prioritize inclusive measures: Incorporate gender, local, and Indigenous perspectives when gathering and using climate data so that policies address the unique needs of marginalized groups.
- Build digital equity: Invest in public digital infrastructure and education so that frontline communities have the tools and skills to adapt and contribute to climate solutions.
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🌍 #𝗗𝗮𝘁𝗮, #𝗚𝗲𝗻𝗱𝗲𝗿, 𝗮𝗻𝗱 #𝗖𝗹𝗶𝗺𝗮𝘁𝗲: 𝗪𝗵𝘆 𝗜𝗻𝘁𝗲𝗿𝘀𝗲𝗰𝘁𝗶𝗼𝗻𝗮𝗹𝗶𝘁𝘆 𝗠𝗮𝘁𝘁𝗲𝗿𝘀? 🌱 Imagine a world where every decision about climate action is informed by inclusive, intersectional data. A world where the unique #challenges faced by young women from developing countries, #Indigenous communities, and those with #disabilities are not just acknowledged but actively addressed. As someone passionate about gender equality and #climatejustice, I believe data is the bridge between understanding and action. Gender-#disaggregateddata helps us uncover how climate change impacts women and #marginalized groups differently—whether it’s access to resources, #mobility during crises, or representation in decision-making. Yet, these stories often remain invisible in mainstream climate narratives. Recognizing the #intersectionality and the need for diverse voices in shaping our digital future is important, including #youth from developing countries, least-developed countries, landlocked developing countries and small island development states, as well as young Indigenous women, and young women with disabilities. 📊 Why does this matter? Without robust #data, policies risk being one-size-fits-all, and ignore local solutions tailored to each country's circumstances, leaving behind those who are most #vulnerable. By integrating gender-sensitive metrics into climate strategies, we can ensure that women’s voices are amplified and their contributions to adaptation and mitigation are recognized. 💡 The way forward: - Leverage digital tools like satellite imagery and mobile apps to collect real-time gender data. - Partner with local women’s organizations to design community-driven solutions. - Advocate for inclusive climate #policies that prioritize equity at every level. Let’s work together to ensure that no one is left behind in the fight for a sustainable future. 🌟 #GenderEquality #ClimateAction #Intersectionality #DataForGood #Sustainability #WomenInClimate #SDGs #SDG5 #SDG10 #SDG13
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🌐 New from The Open Working Group-O)W(G: Digital Equity & Climate Resilience – A Blueprint for the Future 🌱 We’re excited to share our latest article exploring how digital public infrastructure (DPI), when designed with equity and resilience at its core, can serve as a powerful lever to address the intersecting challenges of digital exclusion and climate vulnerability. 🔍 What’s inside the article? We unpack a forward-looking framework that: ✅ Connects digital equity with climate justice, emphasising how digital tools can help frontline communities adapt and thrive. ✅ Explores the role of inclusive DPI in delivering accessible, affordable, and reliable services — from early warning systems to digital finance. ✅ Highlights pathways for global cooperation, with a focus on empowering local communities and scaling public-private solutions that work. ✅ Advocates for a rights-based, inclusive approach to digitalisation, embedding climate and gender responsiveness into design. Whether you work in tech, climate policy, finance, or development, this piece provides helpful tips for building systems that leave no one behind. 👉 Read the full article here: https://lnkd.in/d2UVhPcV Venu Borra Bob Gravestijn Fleur Boos Dr Maria Mogilnaya Mahika Ravi Shankar Deepesh Patel Lorena Mª Sánchez Macanás María del Sagrario Navarro Lérida #DigitalEquity #ClimateResilience #DigitalPublicInfrastructure #SustainableDevelopment #TechForGood #OWG #Inclusion #ResilienceByDesign #ClimateJustice
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Not all data is neutral. Not all AI is just. I just finished a small paper exploring how conservation AI tools are reshaping our ecological futures and who gets left out as part of the SIETAR Global AI Symposium. This small paper is a companion piece to my presentation from the SIETAR AI Symposium. From remote sensing to conservation science, AI is transforming the way environmental decisions are made. But behind the algorithms lie serious questions: - Whose knowledge is prioritized? - Who gets erased? - What groups are left out of the training data? My research highlights how Indigenous and local ecological perspectives are often marginalized in Global North-trained AI models. Even tools built “for good” can perpetuate injustice when they exclude frontline communities. TLDR: To build ethical environmental AI tools in the conservation science field, we need to include data justice principles in frameworks. Happy reading! ☺️ #EnvironmentalAI #DataJustice #IndigenousTech #AIethics #ClimateJustice #ConservationTech #AIforGood --- AI & Environment Resource Hub: https://lnkd.in/dCuj6hnM