Created
January 9, 2026 22:12
-
-
Save daaronr/c89739ede27113b184310d8be861dc66 to your computer and use it in GitHub Desktop.
Cultured Meat PQ Evaluators - Expert Network Visualization for Unjournal
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
| <title>Cultured Meat PQ Evaluators Map</title> | |
| <script src="https://cdn.plot.ly/plotly-2.27.0.min.js"></script> | |
| <style> | |
| * { margin: 0; padding: 0; box-sizing: border-box; } | |
| body { | |
| font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; | |
| background: linear-gradient(135deg, #1a1a2e 0%, #16213e 50%, #0f3460 100%); | |
| color: #e6edf3; | |
| min-height: 100vh; | |
| } | |
| .container { max-width: 1400px; margin: 0 auto; padding: 20px; } | |
| h1 { text-align: center; margin-bottom: 5px; font-size: 1.8em; color: #7ee8fa; } | |
| .subtitle { text-align: center; color: #8b949e; margin-bottom: 20px; font-size: 0.95em; } | |
| #plotArea { width: 100%; height: 550px; border-radius: 12px; background: #161b22; } | |
| .expert-grid { | |
| display: grid; | |
| grid-template-columns: repeat(2, 1fr); | |
| gap: 20px; | |
| margin-top: 20px; | |
| } | |
| .category-card { | |
| background: #161b22; | |
| border-radius: 12px; | |
| padding: 18px; | |
| border-left: 4px solid; | |
| } | |
| .category-card.bio { border-color: #00d4aa; } | |
| .category-card.tea { border-color: #ffa500; } | |
| .category-card.econ { border-color: #4a9eff; } | |
| .category-card.welfare { border-color: #ff6b9d; } | |
| .category-card h3 { | |
| font-size: 1em; | |
| margin-bottom: 12px; | |
| display: flex; | |
| align-items: center; | |
| gap: 8px; | |
| } | |
| .category-card h3 .icon { | |
| font-size: 1.2em; | |
| } | |
| .category-card.bio h3 { color: #00d4aa; } | |
| .category-card.tea h3 { color: #ffa500; } | |
| .category-card.econ h3 { color: #4a9eff; } | |
| .category-card.welfare h3 { color: #ff6b9d; } | |
| .expert-list { | |
| list-style: none; | |
| } | |
| .expert-list li { | |
| padding: 8px 0; | |
| border-bottom: 1px solid #30363d; | |
| display: flex; | |
| justify-content: space-between; | |
| align-items: center; | |
| } | |
| .expert-list li:last-child { border-bottom: none; } | |
| .expert-name { font-weight: 500; color: #fff; } | |
| .expert-affiliation { font-size: 0.85em; color: #8b949e; } | |
| .expert-focus { | |
| font-size: 0.75em; | |
| background: #30363d; | |
| padding: 3px 8px; | |
| border-radius: 12px; | |
| color: #c9d1d9; | |
| } | |
| .papers-section { | |
| background: #161b22; | |
| border-radius: 12px; | |
| padding: 20px; | |
| margin-top: 20px; | |
| } | |
| .papers-section h3 { | |
| color: #58a6ff; | |
| margin-bottom: 15px; | |
| font-size: 1.1em; | |
| } | |
| .paper-item { | |
| background: #21262d; | |
| padding: 12px; | |
| border-radius: 8px; | |
| margin-bottom: 10px; | |
| } | |
| .paper-item:last-child { margin-bottom: 0; } | |
| .paper-title { font-weight: 500; margin-bottom: 5px; } | |
| .paper-meta { | |
| display: flex; | |
| gap: 15px; | |
| font-size: 0.85em; | |
| color: #8b949e; | |
| } | |
| .relevance { | |
| font-weight: 600; | |
| padding: 2px 8px; | |
| border-radius: 4px; | |
| } | |
| .relevance.high { background: #238636; color: white; } | |
| .relevance.medium { background: #9e6a03; color: white; } | |
| .legend-row { | |
| display: flex; | |
| justify-content: center; | |
| gap: 30px; | |
| margin-top: 15px; | |
| flex-wrap: wrap; | |
| } | |
| .legend-item { | |
| display: flex; | |
| align-items: center; | |
| gap: 8px; | |
| font-size: 0.9em; | |
| } | |
| .legend-dot { | |
| width: 14px; | |
| height: 14px; | |
| border-radius: 50%; | |
| } | |
| @media (max-width: 768px) { | |
| .expert-grid { grid-template-columns: 1fr; } | |
| } | |
| </style> | |
| </head> | |
| <body> | |
| <div class="container"> | |
| <h1>Cultured Meat Pivotal Question Evaluators</h1> | |
| <p class="subtitle">Expert network for evaluating techno-economic analyses of cell-cultured meat production</p> | |
| <div id="plotArea"></div> | |
| <div class="legend-row"> | |
| <div class="legend-item"> | |
| <div class="legend-dot" style="background: #00d4aa;"></div> | |
| <span>Cell Biology / Bioengineering</span> | |
| </div> | |
| <div class="legend-item"> | |
| <div class="legend-dot" style="background: #ffa500;"></div> | |
| <span>TEA / Cost Analysis</span> | |
| </div> | |
| <div class="legend-item"> | |
| <div class="legend-dot" style="background: #4a9eff;"></div> | |
| <span>Food/Ag Economics</span> | |
| </div> | |
| <div class="legend-item"> | |
| <div class="legend-dot" style="background: #ff6b9d;"></div> | |
| <span>Animal Welfare / Impact</span> | |
| </div> | |
| <div class="legend-item"> | |
| <div class="legend-dot" style="background: #c9a0dc;"></div> | |
| <span>Multi-domain Overlap</span> | |
| </div> | |
| </div> | |
| <div class="expert-grid"> | |
| <div class="category-card bio"> | |
| <h3><span class="icon">🧬</span> Cellular Agriculture & Bioengineering</h3> | |
| <ul class="expert-list"> | |
| <li> | |
| <div> | |
| <div class="expert-name">David Kaplan</div> | |
| <div class="expert-affiliation">Tufts University - TUCCA Director</div> | |
| </div> | |
| <span class="expert-focus">Scale-up</span> | |
| </li> | |
| <li> | |
| <div> | |
| <div class="expert-name">Andrew Stout</div> | |
| <div class="expert-affiliation">Tufts Biomedical Engineering</div> | |
| </div> | |
| <span class="expert-focus">Cell lines</span> | |
| </li> | |
| <li> | |
| <div> | |
| <div class="expert-name">Elliot Swartz</div> | |
| <div class="expert-affiliation">GFI Senior Principal Scientist</div> | |
| </div> | |
| <span class="expert-focus">Cultivated meat</span> | |
| </li> | |
| <li> | |
| <div> | |
| <div class="expert-name">Amy Rowat</div> | |
| <div class="expert-affiliation">UCLA (USDA/NSF grantee)</div> | |
| </div> | |
| <span class="expert-focus">Research</span> | |
| </li> | |
| <li> | |
| <div> | |
| <div class="expert-name">Frederico Ferreira</div> | |
| <div class="expert-affiliation">IST Lisbon (Horizon Europe)</div> | |
| </div> | |
| <span class="expert-focus">€7.6M consortium</span> | |
| </li> | |
| </ul> | |
| </div> | |
| <div class="category-card tea"> | |
| <h3><span class="icon">📊</span> Techno-Economic Analysis</h3> | |
| <ul class="expert-list"> | |
| <li> | |
| <div> | |
| <div class="expert-name">David Humbird</div> | |
| <div class="expert-affiliation">Process Consultant (Open Phil funded)</div> | |
| </div> | |
| <span class="expert-focus">Foundational TEA</span> | |
| </li> | |
| <li> | |
| <div> | |
| <div class="expert-name">Risner et al.</div> | |
| <div class="expert-affiliation">Academic TEA researchers</div> | |
| </div> | |
| <span class="expert-focus">Complete TEA</span> | |
| </li> | |
| <li> | |
| <div> | |
| <div class="expert-name">Negulescu</div> | |
| <div class="expert-affiliation">Large-scale bioreactor modeling</div> | |
| </div> | |
| <span class="expert-focus">>25,000L systems</span> | |
| </li> | |
| <li> | |
| <div> | |
| <div class="expert-name">Amanda Hildebrand</div> | |
| <div class="expert-affiliation">GFI VP Science & Technology</div> | |
| </div> | |
| <span class="expert-focus">Industry outlook</span> | |
| </li> | |
| <li> | |
| <div> | |
| <div class="expert-name">Lever VC Team</div> | |
| <div class="expert-affiliation">Investment research (2025 report)</div> | |
| </div> | |
| <span class="expert-focus">Cost tracking</span> | |
| </li> | |
| </ul> | |
| </div> | |
| <div class="category-card econ"> | |
| <h3><span class="icon">📈</span> Food & Agricultural Economics</h3> | |
| <ul class="expert-list"> | |
| <li> | |
| <div> | |
| <div class="expert-name">Jayson Lusk</div> | |
| <div class="expert-affiliation">Prominent meat demand researcher</div> | |
| </div> | |
| <span class="expert-focus">Substitution</span> | |
| </li> | |
| <li> | |
| <div> | |
| <div class="expert-name">Zachary Neuhofer</div> | |
| <div class="expert-affiliation">Purdue University</div> | |
| </div> | |
| <span class="expert-focus">Scanner data</span> | |
| </li> | |
| <li> | |
| <div> | |
| <div class="expert-name">Shuoli Zhao & Yuqing Zheng</div> | |
| <div class="expert-affiliation">University of Kentucky</div> | |
| </div> | |
| <span class="expert-focus">PBMA demand</span> | |
| </li> | |
| <li> | |
| <div> | |
| <div class="expert-name">Matin Qaim</div> | |
| <div class="expert-affiliation">University of Bonn</div> | |
| </div> | |
| <span class="expert-focus">Food systems</span> | |
| </li> | |
| <li> | |
| <div> | |
| <div class="expert-name">V. Caputo</div> | |
| <div class="expert-affiliation">Consumer preferences research</div> | |
| </div> | |
| <span class="expert-focus">Choice experiments</span> | |
| </li> | |
| </ul> | |
| </div> | |
| <div class="category-card welfare"> | |
| <h3><span class="icon">🐄</span> Animal Welfare & Cost-Effectiveness</h3> | |
| <ul class="expert-list"> | |
| <li> | |
| <div> | |
| <div class="expert-name">Bob Fischer</div> | |
| <div class="expert-affiliation">Rethink Priorities / Texas State</div> | |
| </div> | |
| <span class="expert-focus">Moral weights</span> | |
| </li> | |
| <li> | |
| <div> | |
| <div class="expert-name">Saulius Šimčikas</div> | |
| <div class="expert-affiliation">Former Rethink Priorities</div> | |
| </div> | |
| <span class="expert-focus">Cost-effectiveness</span> | |
| </li> | |
| <li> | |
| <div> | |
| <div class="expert-name">ACE Research Team</div> | |
| <div class="expert-affiliation">Animal Charity Evaluators</div> | |
| </div> | |
| <span class="expert-focus">Charity eval</span> | |
| </li> | |
| <li> | |
| <div> | |
| <div class="expert-name">Animal Welfare Observatory</div> | |
| <div class="expert-affiliation">Research org</div> | |
| </div> | |
| <span class="expert-focus">Scientific engagement</span> | |
| </li> | |
| </ul> | |
| </div> | |
| </div> | |
| <div class="papers-section"> | |
| <h3>Priority Papers for Evaluation (from Unjournal PQ list)</h3> | |
| <div class="paper-item"> | |
| <div class="paper-title">Empirical economic analysis shows cost-effective continuous manufacturing of cultivated chicken using animal-free medium</div> | |
| <div class="paper-meta"> | |
| <span class="relevance high">91% relevance</span> | |
| <span>TEA + Lab experiment</span> | |
| <span>Needs: TEA expert + Cell engineer</span> | |
| </div> | |
| </div> | |
| <div class="paper-item"> | |
| <div class="paper-title">A scoping review of cultivated meat techno-economic analyses to inform future research directions</div> | |
| <div class="paper-meta"> | |
| <span class="relevance high">90% relevance</span> | |
| <span>Systematic Review</span> | |
| <span>Needs: TEA expert + General CM knowledge</span> | |
| </div> | |
| </div> | |
| <div class="paper-item"> | |
| <div class="paper-title">How much will large-scale production of cell-cultured meat cost?</div> | |
| <div class="paper-meta"> | |
| <span class="relevance high">87% relevance</span> | |
| <span>TEA/BOTEC</span> | |
| <span>Needs: Bioreactor design + TEA</span> | |
| </div> | |
| </div> | |
| <div class="paper-item"> | |
| <div class="paper-title">Techno-economic modeling: Impact of production bioreactor scale</div> | |
| <div class="paper-meta"> | |
| <span class="relevance high">86% relevance</span> | |
| <span>TEA/BOTEC</span> | |
| <span>Needs: Bioprocess engineer</span> | |
| </div> | |
| </div> | |
| <div class="paper-item"> | |
| <div class="paper-title">Scale-up economics for cultured meat (Humbird)</div> | |
| <div class="paper-meta"> | |
| <span class="relevance medium">81% relevance</span> | |
| <span>Foundational TEA</span> | |
| <span>Already analyzed by GFI, RP</span> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
| <script> | |
| // Expert data with coordinates: [name, technical_score, economic_score, size, color, category] | |
| const experts = [ | |
| // Bio/Engineering cluster (high technical, low-mid economic) | |
| ["David Kaplan", 0.95, 0.3, 18, "#00d4aa", "Tufts TUCCA Director - Scale-up"], | |
| ["Andrew Stout", 0.9, 0.25, 15, "#00d4aa", "Tufts - Cell lines"], | |
| ["Elliot Swartz", 0.88, 0.4, 16, "#00d4aa", "GFI Principal Scientist"], | |
| ["Amy Rowat", 0.85, 0.2, 14, "#00d4aa", "UCLA - USDA/NSF funded"], | |
| ["Frederico Ferreira", 0.82, 0.35, 14, "#00d4aa", "IST Lisbon - €7.6M consortium"], | |
| // TEA cluster (high both) | |
| ["David Humbird", 0.75, 0.92, 20, "#ffa500", "Open Phil funded TEA - foundational"], | |
| ["Risner et al.", 0.7, 0.88, 16, "#ffa500", "Complete TEA methodology"], | |
| ["Negulescu", 0.72, 0.85, 14, "#ffa500", "Large bioreactor modeling"], | |
| ["Amanda Hildebrand", 0.65, 0.78, 15, "#ffa500", "GFI VP Science & Technology"], | |
| ["Lever VC Team", 0.4, 0.9, 14, "#ffa500", "2025 cost tracking report"], | |
| // Economics cluster (low technical, high economic) | |
| ["Jayson Lusk", 0.2, 0.95, 18, "#4a9eff", "Meat demand modeling"], | |
| ["Zachary Neuhofer", 0.25, 0.88, 15, "#4a9eff", "Purdue - Scanner data"], | |
| ["Shuoli Zhao", 0.22, 0.85, 14, "#4a9eff", "U Kentucky - PBMA demand"], | |
| ["Matin Qaim", 0.3, 0.9, 16, "#4a9eff", "Bonn - Food systems"], | |
| ["V. Caputo", 0.28, 0.82, 14, "#4a9eff", "Consumer preferences"], | |
| // Welfare cluster (mid-low technical, mid economic) | |
| ["Bob Fischer", 0.35, 0.65, 17, "#ff6b9d", "RP - Moral weights project"], | |
| ["Saulius Šimčikas", 0.3, 0.72, 15, "#ff6b9d", "Former RP - Cost-effectiveness"], | |
| ["ACE Team", 0.2, 0.7, 14, "#ff6b9d", "Charity evaluation"], | |
| // Overlap candidates (high both - ideal evaluators) | |
| ["GFI + Tufts", 0.8, 0.75, 22, "#c9a0dc", "Cell bank + TEA synthesis"], | |
| ["Unjournal synthesis", 0.6, 0.8, 20, "#c9a0dc", "Bridge bio + econ perspectives"], | |
| ]; | |
| const trace = { | |
| x: experts.map(e => e[1]), | |
| y: experts.map(e => e[2]), | |
| mode: 'markers+text', | |
| type: 'scatter', | |
| marker: { | |
| size: experts.map(e => e[3]), | |
| color: experts.map(e => e[4]), | |
| opacity: 0.85, | |
| line: { width: 1.5, color: 'white' } | |
| }, | |
| text: experts.map(e => e[0]), | |
| textposition: experts.map(e => e[1] > 0.5 ? 'left' : 'right'), | |
| textfont: { size: 10, color: 'white' }, | |
| hovertext: experts.map(e => `<b>${e[0]}</b><br>${e[5]}<br>Technical: ${(e[1]*100).toFixed(0)}%<br>Economic: ${(e[2]*100).toFixed(0)}%`), | |
| hoverinfo: 'text' | |
| }; | |
| // Add quadrant labels | |
| const annotations = [ | |
| { x: 0.9, y: 0.15, text: "Cell Bio<br>Specialists", showarrow: false, font: { size: 11, color: '#00d4aa' } }, | |
| { x: 0.85, y: 0.95, text: "TEA<br>Experts", showarrow: false, font: { size: 11, color: '#ffa500' } }, | |
| { x: 0.15, y: 0.95, text: "Agricultural<br>Economists", showarrow: false, font: { size: 11, color: '#4a9eff' } }, | |
| { x: 0.15, y: 0.55, text: "Welfare<br>Researchers", showarrow: false, font: { size: 11, color: '#ff6b9d' } }, | |
| { x: 0.65, y: 0.75, text: "🎯 Sweet Spot", showarrow: false, font: { size: 12, color: '#c9a0dc' } }, | |
| ]; | |
| const layout = { | |
| xaxis: { | |
| title: { text: '← Economics Focus | Technical/Bio Focus →', font: { color: '#8b949e' } }, | |
| range: [0, 1], | |
| gridcolor: 'rgba(255,255,255,0.1)', | |
| tickfont: { color: '#8b949e' }, | |
| showgrid: true, | |
| zeroline: false | |
| }, | |
| yaxis: { | |
| title: { text: '← Domain Expertise | Cost Analysis Focus →', font: { color: '#8b949e' } }, | |
| range: [0, 1], | |
| gridcolor: 'rgba(255,255,255,0.1)', | |
| tickfont: { color: '#8b949e' }, | |
| showgrid: true, | |
| zeroline: false | |
| }, | |
| paper_bgcolor: '#161b22', | |
| plot_bgcolor: '#161b22', | |
| margin: { l: 60, r: 30, t: 30, b: 60 }, | |
| annotations: annotations, | |
| shapes: [ | |
| // Sweet spot ellipse | |
| { | |
| type: 'circle', | |
| xref: 'x', yref: 'y', | |
| x0: 0.5, y0: 0.6, x1: 0.85, y1: 0.95, | |
| line: { color: 'rgba(201, 160, 220, 0.3)', width: 2, dash: 'dot' }, | |
| fillcolor: 'rgba(201, 160, 220, 0.05)' | |
| } | |
| ] | |
| }; | |
| Plotly.newPlot('plotArea', [trace], layout, { | |
| responsive: true, | |
| displayModeBar: true, | |
| modeBarButtonsToRemove: ['toImage', 'sendDataToCloud'] | |
| }); | |
| </script> | |
| </body> | |
| </html> |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment