The Change Doctor’s Post

🚀 Your Insights Needed: How Integrated Is AI in Public Affairs?🚀 As the weekend begins and we reflect on the week's challenges, consider the potential role of AI in enhancing our work. What tasks could AI help you streamline? How might it transform your strategic approaches? We initiated a survey two weeks ago to understand how public affairs professionals are utilizing AI technologies like Generative AI and Machine Learning. Your insights are invaluable as they help shape not just individual strategies but also broader industry practices. 👉 Please take 4 minutes to complete our survey here: https://lnkd.in/esT84eNk We will share the compiled insights in a free webinar, providing a detailed analysis of how AI is being integrated into public affairs. For more information or to receive the survey results directly, please connect or contact me at [email protected]. #PublicAffairs #AIinPublicAffairs #AdvocacyStrategy #MachineLearning

Help shape the future of AI in public affairs by sharing your experience and insights in this quick survey!

The number 1 reason clinical researchers fail to publish: They focus on learning, and not executing. - Reading dozens of papers. - Getting bogged down by complex statistical methods. - Asking how to publish 5 papers this year before they publish their first paper. The result? Delayed publications and missed opportunities. Here’s what I did instead: 1. Set up daily time to write 2. Leveraged open-access tools such as Zotero and R 3. Reverse-engineer similar papers for methods 4. Sought feedback from colleagues early for iterative learning Stop trying to learn everything about your topic before you write. Start writing while you are learning. Daily actions compound over time. This is how you get ahead of 99% of people. P.S. If you enjoy posts like this, you might also enjoy my weekly newsletter HERE: https://buff.ly/3Xfoo4P I share actionable tips, strategies, and tools for crafting high-impact research using open-access tools and AI every Friday. Please reshare 🔄 if you got some value out of this...

🎓 Just completed an enriching experience at the Research Writing Institute: "Streamline Your Writing with AI" on June 11-12, 2024! 🚀 Over two days, I had the privilege of attending all eight insightful sessions. From mastering data analysis tools to enhancing my writing voice, each session provided invaluable knowledge on leveraging AI to publish faster, craft compelling presentations, and effectively report qualitative findings and statistical results. 📊📝 A big thank you to the sponsors for organizing such a transformative event. I'm excited to apply these new skills to tell my research story more compellingly! Disclaimer: I used AI 🤖to assist in writing this post. #AI #ResearchWriting #ContinuousLearning#Moxie(Academic Insight Lab)

Use Cases of RAG 🔍 The versatility of RAG solutions make them applicable in a wide range of industries and tasks. Here are a few examples of how they’re being used: Customer Support: 🎧 RAG-powered systems can retrieve relevant support articles from a knowledge base and generate personalized responses to customer inquiries, leading to faster, more accurate customer service. Content Generation: ✍ Writers, researchers, and journalists can use RAG to generate articles, reports, or summaries that incorporate real-time data, making content more relevant and timely. Healthcare: 🩺 RAG models can retrieve the latest clinical guidelines, research papers, or patient data, enabling doctors and healthcare professionals to generate up-to-date medical reports or summaries. Research and Development: 📑 Researchers can use RAG to find relevant academic papers or data on a topic, allowing the AI to generate meaningful summaries or insights for ongoing research projects. We’d love to hear how you’re using RAG in your work! Share your experiences in the comments, let’s exchange ideas and learn from one another! #RetrievalAugmentedGeneration #RAG #LLM #AI

Three Steps to Define A Strategy for Integrating AI in Public Affairs We’re all talking about AI—its potential, how it works, and the ways we might apply it in our organizations. Yet, one crucial step often gets overlooked: developing a clear strategy for integrating AI into public affairs. [If you're exploring how AI can fit into your public affairs strategy, I invite you to take part in our survey on AI integration: https://lnkd.in/esT84eNk] Historically, technology has always driven innovation in public affairs. In a crowded field, staying competitive requires leveraging new tools. The exponential speed at which AI is evolving forces us to adopt these technologies more rapidly than ever before. The challenge? Most public affairs professionals don’t have the knowledge or skills to fully understand AI technologies. This raises a critical question: Are PA leaders in a position to devise effective strategies for AI integration? From my conversations with trade associations and leaders across the sector, it’s clear that most organizations, particularly smaller ones, are still in the exploratory phase. They’re testing technologies like GPT and taking tentative steps toward strategy development. Only a few, often well-resourced, organizations are advancing toward building full-scale AI-driven tools. So how can we close this knowledge gap and move from exploration to execution? Here are three steps that can guide this process: 1. Start with the problem, not the technology Focus on the specific challenges AI can address. For example, automating the analysis of policy documents, automating meeting summaries, or improving stakeholder mapping can be clear use cases that provide real value, helping public affairs professionals spend more time on analytical and strategic decisions. 2. Prioritize by value Evaluate potential AI applications based on their impact. In public affairs, this could translate to more efficient advocacy, better engagement with policymakers, or faster data-driven decision-making. For example, AI tools can help summarize complex policy landscapes in a fraction of the time, enabling quicker, more informed decisions. 3. Assess feasibility and ROI Before diving in, assess whether your organization has the data, infrastructure, and resources to make AI work. Small-scale pilots, like using AI to track regulatory changes or create personalized monitoring reports, can help test feasibility and refine the approach. If you're exploring how AI can fit into your public affairs strategy, I invite you to take part in our survey on AI integration: https://lnkd.in/esT84eNk

Navigating the world of academic research can be challenging, especially when you're managing tight budgets and ambitious goals. Luckily, there are a variety of powerful AI tools—some completely free, and others with robust free versions—that can make each phase of research smoother and more efficient. Whether it's finding quality articles, organizing a literature review, analyzing data, or creating impactful visuals, these tools are game-changers. Here’s a breakdown of each phase in my research process: 1️⃣ Ideation: I start by gathering relevant articles, reviewing literature, and identifying research gaps. 2️⃣ Writing: From drafting introductions to enhancing readability, these tools support me in building a solid foundation. 3️⃣ Originality Check: Maintaining authenticity is essential, so I use AI detectors to ensure the work is all original. 4️⃣ Data Analysis: Data doesn’t have to be overwhelming—AI tools simplify complex analysis and save time. 5️⃣ Visualization: Turning data into visuals helps communicate ideas effectively. 6️⃣ Final Review: The last phase ensures every detail is polished and consistent. If you're also on a research journey, give these tools a try and see the difference! 🔍💡 -------------------------------------------------------- Useful find? Pass it on! 🔄 𝐑𝐞𝐩𝐨𝐬𝐭 👋 I’m Dr. Tripti Chopra Click my name + follow + 🔔 I post about AI in Research and Research Tools #ResearchTips #PhD #AcademicLife #ResearchJourney

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While AI, traditional machine learning, and deep learning are projected to result in net savings of $200 billion to $360 billion in healthcare spending, 75% of execs fear their investments may fall short. But why? It all comes down to data – hospitals alone produce more data than can be truly quantified. It's hard to make a switch to a new system without leaving room for gaps or privacy breaches. When moving forward with a digital transformation, this needs to be top of mind for all practices in order to keep patients safe. #Finance #AI #Healthcare #Data #Analytics

Top AI Research Tools to Assist with Your Research Thesis 🤖 Citations: Streamline your referencing with AI-powered citation managers. Grammar & Writing: Enhance your writing clarity and correctness with AI grammar checkers. Literature Search: Discover relevant research papers quickly using AI search tools. Paper Summary: Get concise summaries of complex papers with AI summarization tools. Qualitative Research: Leverage AI tools for coding and analyzing qualitative data. Quantitative Research: Utilize AI for advanced statistical analysis and data interpretation. . . . Empower your research with AI tools!#AIResearch #ThesisHelp #AcademicWriting #ResearchTools #PhDLife #ManuscriptEdit