RepublicOfData.io is a vibrant community of data product builders and advocates for social change. We specialize in leveraging openly available data to understand and address critical issues such as climate change, the health of democratic institutions, and socioeconomic inequalities. Our mission is to empower organizations committed to social good with the tools and insights they need to drive impactful change. By harnessing the power of data, we aim to provide a deeper understanding of societal dynamics and support informed decision-making. Research groups and data product owners often struggle to enrich their core datasets with additional layers of social context. While openly available social data is valuable, it is notoriously difficult to capture and integrate effectively into existing research frameworks. To address this challenge, we offer curated social datasets designed to complement and enhance research data. Examples include: - Map social media activity related to environmental activism onto pollution and climate data to track the impact of social movements on environmental policies. - Combine crime reports with social sentiment analysis to understand public perception and community concerns about safety in different neighbourhoods. - Monitor real-time social media discussions about disease outbreaks and correlate them with public health statistics to identify and respond to emerging health threats. - Merge academic performance metrics with social media discussions on education to identify factors influencing student outcomes and community attitudes toward educational policies. - Integrate traffic reports with social media conversations about transportation issues to optimize urban planning and address public concerns. - Analyze the effectiveness of social media campaigns by correlating them with political engagement and voter turnout data.
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I’ve been working on orchestrating AI agents for data products, using Hex, Dagster Labs, and LangChain. In my latest blog post, I explore how you can experiment with AI agent prototypes using this stack. Check out how I’m building an AI agent for my Climate Resilience Data Platform to automate research and data transformations.
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I just published a post on running a data mining operation using AI agents with Dagster Labs and LangChain. My goal is to scrape online conversations about climate events, assign them to predefined discourse types and analyze the geographical distribution of climate narratives. Dagster and LangChain are two excellent frameworks that can be combined to produce rich data assets. Dagster constructs a DAG of the assets to produce, and LangChain defines the AI agents that can be used when producing assets. Both frameworks have tools to capture and review the metadata of your operation. Dagster gives you rich metadata about the assets you’re producing, and LangSmith provides info about the agent’s usage and performance. There’s more to be done. For example, I need to improve my geolocation operation to comprehensively understand how public perception of climate change differs by region.
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Explore how climate change conversations differ across the U.S. with a map highlighting dominant discourse types in each state. See how regional attitudes shape the discussion on this issue.
Explore how climate change conversations differ across the U.S. with a map highlighting dominant discourse types in each state. See how regional attitudes shape the discussion on this issue.
We’ve reached the final chapter in our “Conversations Analyzer” series! 🎉 In our latest blog post, “Enforcing Structure and Assembling Our AI Agent,” we discuss the crucial steps to refining our AI agent to analyze online discussions about climate-related topics effectively. From enforcing output structures to finalizing components, this post details our journey in creating a sophisticated tool to highlight key narratives and support arguments within these conversations. Read the full article to learn about: • How we enforce structure in Generative AI tasks • Evaluating task output structures • The final steps in assembling our AI agent • Future enhancements and improvements This series demonstrates the power of structured generative AI in providing meaningful insights from complex online discussions. #GenerativeAI #DataScience #ClimateChange #AI
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Check out the second part of our Conversations Analyzer series: “Optimizing and Engineering LLM Prompts with LangChain and LangSmith.” In this post, we explore: • The importance of prompt engineering for high-quality LLM results • Frameworks and techniques for crafting effective prompts • Tools for monitoring and evaluating prompt performance #ArtificialIntelligence #PromptEngineering
Check out the second part of our Conversations Analyzer series: “Optimizing and Engineering LLM Prompts with LangChain and LangSmith.” In this post, we explore: • The importance of prompt engineering for high-quality LLM results • Frameworks and techniques for crafting effective prompts • Tools for monitoring and evaluating prompt performance #ArtificialIntelligence #PromptEngineering
Discover the journey of RepublicOfData.io! Thanks to invaluable support and interest, what began as a simple intuition has grown into a clear mission. We are a community of data product builders and advocates for social change, using open data to tackle issues like climate change, democratic health, and socio-economic inequalities. RepublicOfData.io is a collaborative space where we apply data skills to meaningful problems and connect with exceptional social warriors. We’re thrilled to introduce our new home – our blog. It’s where we’ll share technical deep dives, stories of data-driven social change, and provide a platform for exchange among engaged citizens. Sign up for updates and join us on this journey! https://lnkd.in/ehwfrjkE
In this edition of the Weekly Climate Narratives Review, we delve into Tesla's recent strategic shift, focusing on the substantial reduction of their charger team and the broader implications highlighted by media coverage. Reports underline the impact on Tesla's market influence and the potential slowdown in the expansion of the EV charging infrastructure. Social media reactions to these developments reveal a spectrum of public sentiment, encapsulating both concerns and criticisms: 🔌 Uncertainty Over Tesla's Future Commitment: Questions about the future reliability of Tesla's charging network. 🤔 Criticism of Elon Musk's Leadership: Discussions on Musk's decision-making and its effects on Tesla's trajectory. 🛣️ Concerns About EV Infrastructure and Adoption: Fears that changes may hinder the broader adoption of electric vehicles. 🏭 Market Reactions and Competitive Shifts: Insights into how Tesla's pullback might open opportunities for competitors in the EV space. Read here: https://lnkd.in/eAy2ESXk
In this week's edition of the Weekly Climate Narratives Review, we delve into the ramifications of Alaska's New Environmental Protections. Insights from this week's media coverage reveal that: - The Biden administration has taken decisive steps to block drilling and road construction projects in sensitive Alaskan areas. - These measures are sparking a nationwide debate balancing environmental conservation with economic impacts. - The actions taken are part of a larger environmental initiative, showcasing a commitment to conservation ahead of Earth Day. Our analysis of social conversations uncovers diverse public opinions: * Environmental Protection Praise: Celebrating the safeguarding of untouched wilderness. * Economic Concerns and Opposition: Worry over lost job opportunities and economic growth. * Conflicting Perspectives on Climate Policy: Mixed feelings about the consistency of Biden's environmental policies. * Support for Indigenous Rights and Traditions: Positive views on the preservation of native lands and customs. * Global Environmental Impact: Recognition of Alaska's critical role in global climate health. Read the full review here