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Modernize collaboration page for OraDigit ecosystem
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‎collaborate.html‎

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---
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layout: default
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title: "Collaborate with Us"
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title: "Collaborate"
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permalink: /collaborate/
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---
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<section id="collaborate">
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<h1>Collaborate with Us</h1>
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<p>
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We’re always excited to work with talented professionals and organizations in the data science community.
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Whether you’re an individual, a company, or a research institution, let’s create impactful projects together.
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</p>
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<h2>How Can You Collaborate?</h2>
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<div class="collaboration-grid">
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<div class="collaboration-card">
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<h3>Open Source Contributions</h3>
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<p>Contribute to our GitHub repositories by improving existing models, optimizing code, or developing new AI solutions.</p>
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<a href="https://github.com/DataForSolution" target="_blank" class="project-link">Explore Our GitHub</a>
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</div>
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<section class="dfs-collab-hero">
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<div class="dfs-collab-shell">
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<p class="dfs-collab-kicker">DataForSolution × OraDigit Technology</p>
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<h1>Collaborate on meaningful healthcare and data solutions</h1>
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<p>We welcome focused conversations with healthcare organizations, technology teams, researchers, educators, and professionals who are working on real problems in clinical informatics, healthcare analytics, medical imaging, data science, and software engineering.</p>
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</div>
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</section>
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<div class="collaboration-card">
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<h3>Data Science Challenges</h3>
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<p>Join us in solving real-world challenges using machine learning, deep learning, and AI models.</p>
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<a href="https://www.kaggle.com/addislissan" target="_blank" class="project-link">Join Our Kaggle Competitions</a>
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<section class="dfs-collab-section">
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<div class="dfs-collab-shell">
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<h2>Where collaboration fits</h2>
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<div class="dfs-collab-grid">
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<article class="dfs-collab-card"><h3>Healthcare Business Intelligence</h3><p>Clinical and operational dashboards, workflow measurement, data-quality assessment, and decision-support concepts grounded in real healthcare environments.</p></article>
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<article class="dfs-collab-card"><h3>Clinical Informatics</h3><p>Requirements discovery, workflow mapping, imaging informatics, structured clinical data, and practical technology adoption.</p></article>
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<article class="dfs-collab-card"><h3>Medical Imaging & Analytics</h3><p>PET/CT and nuclear medicine workflows, quantitative imaging, response tracking, quality context, and applied analytics.</p></article>
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<article class="dfs-collab-card"><h3>Data Science & Software</h3><p>Prototype tools, analytical models, educational resources, and software concepts that begin with a clearly defined problem.</p></article>
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<article class="dfs-collab-card"><h3>Research & Education</h3><p>Case-based learning, responsible AI, technical writing, applied research concepts, and practical knowledge-sharing.</p></article>
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<article class="dfs-collab-card"><h3>Product & Vendor Conversations</h3><p>Exploration with healthcare technology companies, imaging vendors, research groups, and teams seeking clinical and analytical perspective.</p></article>
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</div>
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</div>
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</section>
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<div class="collaboration-card">
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<h3>Research & Publications</h3>
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<p>Partner with us to publish research papers on AI, data science, and healthcare analytics.</p>
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<a href="https://arxiv.org/" target="_blank" class="project-link">Explore AI Research</a>
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<section class="dfs-collab-section dfs-collab-section--soft">
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<div class="dfs-collab-shell dfs-collab-split">
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<div>
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<p class="dfs-collab-kicker">Working principle</p>
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<h2>Start with the problem, not the technology</h2>
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<p>A useful collaboration should identify the people affected, the current workflow, available data, constraints, risks, and the decision that needs improvement before selecting a technical approach.</p>
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</div>
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<div class="collaboration-card">
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<h3>Industry Partnerships</h3>
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<p>Work with us to integrate AI-driven solutions into businesses, healthcare, and finance.</p>
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<a href="mailto:kent.sew@gmail.com" class="project-link">Contact for Collaboration</a>
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<div class="dfs-collab-note">
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<strong>Good starting information</strong>
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<ul>
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<li>The problem or workflow you want to improve</li>
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<li>Who uses the current process</li>
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<li>What data or systems are involved</li>
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<li>The expected outcome or decision</li>
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<li>Any privacy, safety, or operational constraints</li>
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</ul>
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</div>
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</div>
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</section>
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<div class="collaboration-card">
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<h3>Webinars & Workshops</h3>
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<p>Join our live events, hands-on workshops, and community meetups for knowledge-sharing and networking.</p>
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<a href="https://www.meetup.com/topics/data-science/" target="_blank" class="project-link">Attend an Event</a>
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<section class="dfs-collab-section dfs-collab-section--dark">
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<div class="dfs-collab-shell">
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<h2>Connect with Lissan Liben</h2>
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<p class="dfs-collab-role">Healthcare Business Intelligence | Clinical Informatics | Healthcare Analytics | Medical Imaging | Data Science | Software Engineering | OraDigit Research</p>
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<div class="dfs-collab-actions">
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<a href="{{ '/contact/' | relative_url }}">Send a collaboration inquiry</a>
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<a href="https://www.linkedin.com/in/lissan-analytic" target="_blank" rel="noopener noreferrer">LinkedIn profile</a>
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<a href="https://www.oradigit.com" target="_blank" rel="noopener noreferrer">Visit OraDigit</a>
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<a href="https://github.com/DataForSolution" target="_blank" rel="noopener noreferrer">View GitHub</a>
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</div>
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</div>
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<h2>Featured Collaboration Ideas</h2>
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<ul class="collab-ideas">
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<li><strong>AI in Healthcare:</strong> Build deep learning models for disease detection.</li>
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<li><strong>Climate & Sustainability:</strong> Use AI to analyze climate change data.</li>
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<li><strong>Financial Forecasting:</strong> Develop predictive models for market trends.</li>
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<li><strong>AI Ethics & Fairness:</strong> Research bias mitigation in AI models.</li>
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<li><strong>Cybersecurity:</strong> Enhance AI-driven fraud detection systems.</li>
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</ul>
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<h2>Join Our Community</h2>
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<p>Connect with like-minded data enthusiasts and professionals:</p>
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<ul class="community-links">
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<li><a href="https://www.linkedin.com/in/addislissan" target="_blank">Follow on LinkedIn</a></li>
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<li><a href="https://twitter.com/SewLiben" target="_blank">Follow on Twitter</a></li>
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<li><a href="https://discord.gg/datascience" target="_blank">Join Our Discord</a></li>
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</ul>
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</section>
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<style>
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#collaborate {
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background-color: #121212;
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color: white;
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padding: 50px 20px;
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font-family: 'Segoe UI', sans-serif;
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text-align: center;
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}
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#collaborate h1, #collaborate h2, #collaborate h3 {
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color: #ffffff;
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margin-bottom: 15px;
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}
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#collaborate p, #collaborate li {
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color: #dddddd;
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font-size: 1.05em;
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}
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.collaboration-grid {
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display: flex;
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flex-wrap: wrap;
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justify-content: center;
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gap: 20px;
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margin-top: 30px;
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}
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.collaboration-card {
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background: #1f1f1f;
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border-radius: 10px;
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padding: 20px;
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box-shadow: 0 4px 12px rgba(0, 0, 0, 0.4);
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max-width: 300px;
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text-align: left;
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transition: transform 0.3s;
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}
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.collaboration-card:hover {
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transform: translateY(-5px);
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}
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.collaboration-card h3 {
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font-size: 1.4em;
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color: #4CAF50;
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}
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.collaboration-card p {
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font-size: 1em;
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color: #ccc;
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}
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.project-link {
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display: inline-block;
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margin-top: 10px;
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padding: 10px 15px;
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background-color: #007BFF;
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color: white;
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text-decoration: none;
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border-radius: 5px;
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font-weight: bold;
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transition: background-color 0.3s ease;
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}
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.project-link:hover {
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background-color: #0056b3;
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}
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.collab-ideas {
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list-style: none;
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padding: 0;
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margin-top: 30px;
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}
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.collab-ideas li {
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font-size: 1.1em;
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margin: 10px 0;
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background: #2a2a2a;
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padding: 10px;
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border-radius: 5px;
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display: inline-block;
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color: #aaffaa;
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}
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.community-links {
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list-style: none;
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padding: 0;
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margin-top: 20px;
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}
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.community-links li {
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font-size: 1.1em;
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margin: 8px 0;
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}
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.community-links a {
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color: #4FC3F7;
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text-decoration: none;
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font-weight: bold;
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}
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.community-links a:hover {
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text-decoration: underline;
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}
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</style>
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.dfs-collab-hero,.dfs-collab-section{padding:68px 22px}.dfs-collab-hero{background:linear-gradient(135deg,#0f172a,#123f5a 55%,#14532d);color:#fff}.dfs-collab-shell{max-width:1100px;margin:0 auto}.dfs-collab-kicker{text-transform:uppercase;letter-spacing:.12em;font-size:.78rem;font-weight:800;color:#16a34a}.dfs-collab-hero .dfs-collab-kicker{color:#bbf7d0}.dfs-collab-hero h1{color:#fff;font-size:clamp(2.2rem,5vw,4rem);max-width:900px}.dfs-collab-hero p{max-width:900px;line-height:1.8;color:#e2e8f0}.dfs-collab-grid{display:grid;grid-template-columns:repeat(3,1fr);gap:18px}.dfs-collab-card{background:#fff;border:1px solid #e2e8f0;border-radius:18px;padding:24px;box-shadow:0 10px 28px rgba(15,23,42,.06)}.dfs-collab-card h3{color:#15803d}.dfs-collab-card p,.dfs-collab-section p{line-height:1.7}.dfs-collab-section--soft{background:#f1f5f9}.dfs-collab-split{display:grid;grid-template-columns:1.1fr .9fr;gap:36px;align-items:start}.dfs-collab-note{background:#fff;border-left:4px solid #16a34a;border-radius:14px;padding:24px}.dfs-collab-note li{margin:9px 0}.dfs-collab-section--dark{background:#0f172a;color:#e2e8f0}.dfs-collab-section--dark h2{color:#fff}.dfs-collab-role{color:#86efac;font-weight:700}.dfs-collab-actions{display:flex;flex-wrap:wrap;gap:12px;margin-top:24px}.dfs-collab-actions a{border:1px solid #64748b;border-radius:999px;padding:11px 17px;color:#fff;text-decoration:none;font-weight:700}.dfs-collab-actions a:first-child{background:#16a34a;border-color:#16a34a}@media(max-width:850px){.dfs-collab-grid{grid-template-columns:1fr 1fr}.dfs-collab-split{grid-template-columns:1fr}}@media(max-width:560px){.dfs-collab-grid{grid-template-columns:1fr}}
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</style>

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