136 lines
63 KiB
HTML
136 lines
63 KiB
HTML
<!DOCTYPE html>
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<html data-html-server-rendered="true" lang="en" data-vue-tag="%7B%22lang%22:%7B%22ssr%22:%22en%22%7D%7D">
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<head>
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<title>Collective Intelligence Collaboratory - Threefold Webstack</title><meta name="gridsome:hash" content="37745d271f5e5dc6dad5b9b28004c1ab94522a20"><meta data-vue-tag="ssr" charset="utf-8"><meta data-vue-tag="ssr" name="generator" content="Gridsome v0.7.23"><meta data-vue-tag="ssr" data-key="viewport" name="viewport" content="width=device-width, initial-scale=1, viewport-fit=cover"><meta data-vue-tag="ssr" data-key="format-detection" name="format-detection" content="telephone=no"><link data-vue-tag="ssr" rel="icon" href="data:,"><link data-vue-tag="ssr" rel="icon" type="image/png" sizes="16x16" href="/assets/static/favicon.ce0531f.58ac168c914573b5ef7275f1a675e75a.png"><link data-vue-tag="ssr" rel="icon" type="image/png" sizes="32x32" href="/assets/static/favicon.ac8d93a.58ac168c914573b5ef7275f1a675e75a.png"><link rel="preload" href="/assets/css/0.styles.2851f169.css" as="style"><link rel="preload" href="/assets/js/app.e2a4e8c6.js" as="script"><link rel="preload" href="/assets/js/page--src--templates--project-vue.402860b7.js" as="script"><link rel="prefetch" href="/assets/js/page--node-modules--gridsome--app--pages--404-vue.f7582f47.js"><link rel="prefetch" href="/assets/js/page--src--pages--blog-vue.b0dc8a8c.js"><link rel="prefetch" href="/assets/js/page--src--pages--index-vue.f12c98ee.js"><link rel="prefetch" href="/assets/js/page--src--pages--news-vue.d1174d22.js"><link rel="prefetch" href="/assets/js/page--src--templates--blog-post-vue.88ace2b6.js"><link rel="prefetch" href="/assets/js/page--src--templates--markdown-page-vue.cccc57cb.js"><link rel="prefetch" href="/assets/js/page--src--templates--membership-vue.3522376a.js"><link rel="prefetch" href="/assets/js/page--src--templates--news-post-vue.9eb5f236.js"><link rel="prefetch" href="/assets/js/page--src--templates--partners-vue.7cfcc422.js"><link rel="prefetch" href="/assets/js/page--src--templates--person-vue.9ae59aa3.js"><link rel="prefetch" href="/assets/js/page--src--templates--search-vue.47349da6.js"><link rel="prefetch" href="/assets/js/page--src--templates--tag-vue.04e814f2.js"><link rel="prefetch" href="/assets/js/page--src--templates--team-vue.fd6ac744.js"><link rel="prefetch" href="/assets/js/vendors~page--src--templates--search-vue.7aae1da5.js"><link rel="stylesheet" href="/assets/css/0.styles.2851f169.css"><noscript data-vue-tag="ssr"><style>.g-image--loading{display:none;}</style></noscript>
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</head>
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<body >
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<script>
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// Add dark / light detection that runs before Vue.js load. Borrowed from overreacted.io
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// for this starter, i used the code from gridsome.org
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(function() {
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window.__onThemeChange = function() {};
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function setTheme(newTheme) {
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window.__theme = newTheme;
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preferredTheme = newTheme;
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document.body.setAttribute('data-theme', newTheme);
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window.__onThemeChange(newTheme);
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}
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var preferredTheme;
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try {
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preferredTheme = localStorage.getItem('theme');
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} catch (err) {}
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window.__setPreferredTheme = function(newTheme) {
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setTheme(newTheme);
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try {
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localStorage.setItem('theme', newTheme);
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} catch (err) {}
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}
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var darkQuery = window.matchMedia('(prefers-color-scheme: dark)');
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darkQuery.addListener(function(e) {
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window.__setPreferredTheme(e.matches ? 'dark' : 'light');
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});
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setTheme(preferredTheme || (darkQuery.matches ? 'dark' : 'light'));
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})();
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</script>
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/%3e%3c/svg%3e" width="200" data-src="/assets/static/logo.dc52710.2ba30e8126b50655b653c5c05d7ed9ba.png" data-srcset="/assets/static/logo.dc52710.2ba30e8126b50655b653c5c05d7ed9ba.png 200w" data-sizes="(max-width: 200px) 100vw, 200px" class="rounded-full bg-gray-200 w-32 h-32 border-4 border-gray-400 mx-auto md:mx-0 g-image g-image--lazy g-image--loading" data-v-5b422e3e><noscript data-v-5b422e3e><img src="/assets/static/logo.dc52710.2ba30e8126b50655b653c5c05d7ed9ba.png" class="rounded-full bg-gray-200 w-32 h-32 border-4 border-gray-400 mx-auto md:mx-0 g-image g-image--loaded" width="200"></noscript></div><div class="w-full md:w-5/6 text-center md:text-left md:pl-8 lg:pl-0" data-v-5b422e3e><h1 class="pb-0 mb-0 mt-0 text-4xl font-medium" data-v-5b422e3e>
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Collective Intelligence Collaboratory
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<a href="https://www.linkedin.com/company/cicollaboratory/" target="_blank" rel="noopener noreferrer" class="text-gray-400 hover:text-black" data-v-5b422e3e><svg aria-hidden="true" focusable="false" data-prefix="fab" data-icon="linkedin" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512" class="svg-inline--fa fa-linkedin fa-w-14" data-v-5b422e3e><path fill="currentColor" d="M416 32H31.9C14.3 32 0 46.5 0 64.3v383.4C0 465.5 14.3 480 31.9 480H416c17.6 0 32-14.5 32-32.3V64.3c0-17.8-14.4-32.3-32-32.3zM135.4 416H69V202.2h66.5V416zm-33.2-243c-21.3 0-38.5-17.3-38.5-38.5S80.9 96 102.2 96c21.2 0 38.5 17.3 38.5 38.5 0 21.3-17.2 38.5-38.5 38.5zm282.1 243h-66.4V312c0-24.8-.5-56.7-34.5-56.7-34.6 0-39.9 27-39.9 54.9V416h-66.4V202.2h63.7v29.2h.9c8.9-16.8 30.6-34.5 62.9-34.5 67.2 0 79.7 44.3 79.7 101.9V416z" data-v-5b422e3e></path></svg></a></h1><!----><div class="avatars" data-v-5b422e3e><section data-v-5b422e3e><div class="avatars" data-v-5b422e3e><div class="flex items-center" 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da/07v0IoxmKpQ%2bIdTpIBjjBHBWICYramepinDEbcbHRjKtU/9WBXmZ/Avc49t6msbrZWYcVSxku1hfiBFtsRXQwvOkQgz2cEEQmRAX4QudLV5iVglh6ivz0OLQ11qpNEdkflLFeNjuU5ZX6LylRQZsMBpiKitQS/2PisivKzCIAOesAiAbYWqGUgAAgewKjPT0KgFFS1JwdCXOeHsnBTvB32AG3vRvhfXgLAsmEULcD8DzwGYJdDiDa3xVhzocQemg7IlgW%2bz96Dw6fbUIOW%2bFMURpBKMKFugoFxJXmOlzh1LlKp3mjpxW3expwvjYfCxXZyA/1g9OerXA5sINu0ZfmivMFW2lZfhYyEuKgD3BjCzeyXFtVC5RBqKmq2toCtQ4ggif7n6YiAyoKDSjnsbywSBiQgRICIGholrj8JQNebYNkgExdvS1mlKWGID/Gm9nfw6B3wmPfJrjs/gj%2bR3dxBD6CIKfdCHM7iETOA%2bEERme/Hcke9oiw34vDH76Dg795G7leh3G8PBMrHY0YyUlGOlkSxF6f4O6MUl04GhN1mC1Jx1xFDtL93OGwZxt2bPoNAnhetL8Hp01PFGWkIJtWOsjtKHISwinaLeuTYIv5uyJYZRU9E0GoUCAUEQQbAGyFlRRBscQyE6ihqM7GgBarEepSJmiwvQmF8XRjoc7QeR6A75EtOLbtPTjt%2bC0Cju2g/T2GUOc9SGRHiHDej4/f/DHefePneP3nr%2bNXv3oXezd%2bCI8tv0UCz10yZeHuWD%2b6s5Lo%2bLbBe/vHyPJ2Qj/LpCEpCoVBHpgqyUKylxvs9%2b/B/h1b6C3IggB3RIsn0IUgWR9Jf%2bCBCM8jDLpcPS%2bQexcdk40PiUeMkBgfqXnFAlUKBgWEXWFmuhJB21CkdYFq695gk9p/Fw0QBsyMjKGDlC1h7WdHeSDo6Fa47f6QtH4Xbns%2bgvfBTxDrewQ6j/0o0LMdUhOcNv0KfjtFFA/TwYUiyS8Agfu2I91tDy61VeHu9DD6cpMQvH8XPv7VO/jlm2/i4KaPUBnhjVFDCmYq8mCg6h/etw8%2b7u6w372V9e9CBrghLtCTjtOXc4UvS24/J9E4tZ0nO1sigrLNJ5s9WhfQRFASLYIvGlChNCDrlS5QUvydeUD2BZQI0gjZJsEa9u/StFBkhDoi1GkXvA7Q6jL7Xgzebc%2bHZMU%2bZIa7oiDMDeUBR9Ee549S%2boRyzgjd6fEYKMyBIcQNplAn3OhuwM2hdkyzK%2bRQ3AIOH8DR/Qex/9MtOEimmPUBmGcJlCfEYufWLfAlAC4ORxDofITBs7w4eEn96zhyh9OAZej81hlgse4HNlpbofIBViGUwMsLC9n%2bC6w%2bID9PAfDqPKA9IGlQ2%2bOiAWKDx/t7OPTEojTZj5k8gCCHLQg6totM2Aafg5vguG0DPYE9SuN8URLkiHadF04VJeF8VSFOVpdgia1vvDAJZSEu6EwOxu2BdtwcaMOFlnIM5pOJFM36mFB0MZPDuYkYyo6hE0yFMSoMmz/6EId270aAhzvcjhxAQrAXgp320XmScYEe0HPkTgx2oQjWWB%2bS2EDQxmFVBiVlSgxNVg0oKyi0GSHbRFi6vi%2bwvj9IHyAAjPZ2qV2gdrawnAi6u6AjCD22RdE9xnMvvPZvhL/9FmSFu6As0h2tcUEYTYvEMk3PZRqeG%2b3NuFRXTiMUjYZoH0zlx%2bPeUA9uD7bhertZGaDlejNmjVnsDGVYrTXgQlkqDVMmCtj3t278GJ%2b8v4HBs6v4etNjHEU0W26Yyz7EBbshIcKfk6gLGiuKyNwmJeJqX1D8QKVJlYLqCCUl3wHBzpiTpZygNgsUq9756g6xGKFB2RPskQcQjWg2FaCcmSmI9UUk6zjEcTtZsB1Hd3xIP7AJMQTEFOGJSUM6xjNjMZcTh9OlObhQyRk%2bVQ9ziAd603U4z9peG%2b7FnZ5mBcDaYBceTY7j4fgoHnMwWuttxY16I06bsqFzOgL7Xdux97NPcHD7NmWL9SFBzLgX9OwmqeFeyIwLQxzLrCInXpWu7ArLTCNsbqyUHSGbJyhWJsjmBeyM2dmKAVoJlKitItvGiIzE0gVEA%2bSZgGyHyZOd3tZalGeEISnAnlnfiiOfbcBnG/4Nm3/9Jhw3v4em%2bEAM8UaaonzRExeMSQJhiQpAEYehsfw0Kns2TtIK3xsfx4PxAdxur8WVKiNudbTi/gQ/40yw1m3BPY7FU4UpCDywC3s/3IB9mz%2bkCO6En4sLMpOSkBwVStGl2wx0QmGqDsmRvsiK8mQrrLM%2bMK1RetZkLQObFkgnkOxXUAfsxASVUwyEEhoApQoxC/%2bwg51ANkUGrbPA1BCNUH8X6tifjYn%2bHIKOIoTZt9/ya2z85c/w6YY3sOUXP0W1zhsWdooSUrPUzxkGb0foDmyH/7YPEHd4B5KP7YMlNhTzxjwMZiXieFkuuuLD0c554gJH5BVOidfrOClyFuhMj0UKHaDTJ7/BO6//BAe3bobzwQNIiYlBfHgwkug1ouk9cuODCUI078kJTTRFUgbymK%2b1zvqYbH1voEzNBOslIDZYSqCiSPMB6jlhpa0V1qm2Ig9IZBaYGBzAMOd1CyfBusI4miEvRLnuhveBT7B/E1vhrg14%2b2c/QH6QM41MIEpD3aA/tA2xR/cg1mE3AndvhPtn9Awb30XE/q3I9nREMp1iOyfJscIMpNFINbJEprOTsMQSmi9Ow2BOGjpSE7Hpnbfxkx/%2bd%2bz8%2bH040hPogwMQ5uXMMuB3EIAMTpmyI13A4cxCNnWQvUoH1jtClepw39WBIo0Bpfn5bAsF1r3BlzvEtgelfdZnA%2bOD/aR/NRqKk1GeHsZ250wAdtLw7KQR%2bgCf/uKf8caP/gnZAY6o0XtzACIIIe7w2bkRrhvfR9T2TxC2%2bbeI4GvDsSMYTE7GQn4qTrPVXebs35qiQwxtdJMuQHWBkdx46I8dgu%2bWj/DL136M1/75%2b9j83i/hemgvQskKnY8zGeCCOF8H5MX4o76EWpYdi87qPDK3YV0ILTXVStdE4JUOyDgs7ZAxUwRzVT%2bUerA9KH11HlA6YNF%2bKTLa38tZoB41edFshYHIiXJHAmswkebHnVb407d/iLf%2b9b8hlspcH%2buHphg/tCaHQnd4FzZ8/3sI3f0ZUvbtRcKmT1C2cx%2b6XP1hOeKEVmcXpOzejiy3w6hl6%2bxNicCMIRXThmRs%2bc2v8T/%2b6b/gg7dfwztv/Cu2f/Q%2bAl0c6PyOISM6UAWeq/dDRYYOreYSTqk5HNfL0NcutrhBGbpW5QzNyhnKlrgwQAAoVxqQk6PtB8i%2bYLE8JClVY6RQpvWVLXJZwxxdx3tqUF8Uj8ywY/QCB5HCfl/AQIMphoc%2bfgsfv/0TuJENLezzxSGuqIzygSnSB0l7d8FITz/eYMJspwXHeb2zljacb%2b/EEtkVe%2bAoajj2LpanYbogBcu0yZbUSHz27r/jzZ/9BBv%2b7cfY%2bv5bcORMoPNyQk58BCpyk1GRHkk2RsGUqVfB15dmo622GN1NleqeO2wA1FgBYDeQ4ajSaLS1wWwrAIXKKtbKRKieFVYqIRQWtFlN0RAHl3ZTJuqKOAoncRYPYvZpiNKDHeniOBNsfY83/DoF8TV6AQ%2bUhLnDyFUTE8CSCEaVw1G00c3NG/Jxtr0Bt6YncLGpGXOJKThLi3qN7Jpi1icKk3G6Jh96VwdsZXd5/cc/wMZ33oDDto20vEeQFROGagPte3Y8ylLCYUjmImtM2dGoNabTC%2bSoZ5Q2HZCOJiLYoLbGy1SpS9crZ/eziqC2JSZbRbItJm5QWqGUgSztiVEdBttqUJuvR2lqKBHXoTg5jECEIoEi5MSByHnnhzi4%2bV28RSGM8XRAHW1wWZQXmnlePY2RgfY1/dNPUbVxCwbsPbAYnoIxZz9M6XW41NmIZSr/pDEVi2XpGDZkwGHrp/iMrfWDt17D3k3vw5UzRKy/G4rTYuhFElEY648SXlsEMCfGF0WJQSjLiEQzR%2bje1iaVNBFycbXKEZIBAoDEKSVfmpf3sgtoP5UrVnsCYhqkEwgINiBkm1lo1VwmtAsjAJEwkX4y9OjcDyLEeS/H4D0E4NeIDPCB2UDDxNqsTwpGKynamhiOqig/5Po7I9uFdtnlGCxBfpgsysZZAnvBUoOlatkAycZEcQa6CzKx%2bd238doPv4dP3n0LDts3I9jZnoLHOSMuBKXp0cjj9atzYpHDtpsW4ohCAm7k9zWX51AEG9cBsNTaADApkf8OALIXYHOCNgDkYWl9hbYaxRorEMiCWjPqmSEJviI9AgaOxRnhHkgL90ReUiRyk6KRnxKvdmbiaF9j3Q6hJTManXSD3ZkxGJSVpsdEfgbmTKVY5HxwtrEKV9rrcKbZhGXSfro0ExMmAwZpiZ1oetycvfHZb9%2bD5%2bH9SAwNRDKnv1x9EKrykhm4HxmZgEbS3pybAHNeApoYfEejCZ3NDZoPqLWOxmoytNG/SLG%2bJDdXtsXzNCMkTrDUqDRAQKgp1X47VF/%2bCgiso2azCQ3lBKsoEya2sMqCNB7TCFap0g1R3XBfL2x48yeIcNyLAtrUTs4D7bS//WnRmMqMx5mSAlyn8N3o6cG1rlZctFTjZEMppk15GDHkkBF16GWAlupGVNb04siuHRx/aXd14chPiEZOdBADZivOiochLpC6lIfu%2bgp01pWivbaE91ChxNvWBlvUPKC1QNE5afmSeHHBdqXyXEA0QJ4Rsgwk%2bGqiJEjJa6GMMEEuIOUgNJLyaGI9NVfJ7woJSo02ewtL8tNT8Omv38KGf/85wjmtpfo5oiwhFG0UrNroAFj0IRhLT8CSMRdnzGU4V1%2bORQ4/gyW56M9NwXEOW5c6GzBVV4nLK4/Q1DIOd4qnTjZAwgNRkp5E0aMOpUShkX9TlZOIcgpgh9mAvuZqtNUYCUDVevtTHsAsD0e1TZFKlf08FLP9G7KytBIot7bBKmOR0gKzWkYFhIhiXVmpao8CRp2VFXLBBlO59uxdJq3yEvUTlFB3J2zb8Bbef%2bsNuO/aiPwIbxRwJiiNpUARAEOwJ8xRQWhLjsYAA%2b4rzERjagzaaYIW2cYucS441ViJ1fNX8eDFXzC7uIr0hAxOfH5IiwylyCWhIjuFfT%2bOJRhCJiShlMwyJoWzBBJRY0hjUiq13wuqTRFtEpS9DpMteMZsyMqGbAapJ0NSD2qX1KBNSDItCQPkj2y6IKOyIGh7r8BQuy10VgROdKMgPY1j8Tbs2/gefvHT78Ft229QSAAMrNVc2uJ0b3tk%2bBxFutdRZLJL5Pq7EBB3NHFgmi3NwpkGMqKxHMe7OvD4i7/g4fM/4vL1Z2i1DCErLhYFSTEwprLOywxoLs1HFUugIj0GDewYtYWpnFFyKHhVivJqCqwyKfbKPYvGSZwi%2bkXMfEF6BvLSUl6dBQpUbcjx5Q%2boi60lUWJ9lmZYB0UAquR5psJ8AmBk9s1qp9aHQ4/jjk14/Qf/CU6cEosokvnUgWxa4kS3g4h12ouYY3uQwFXAjtCUIHNAMpYq83GmzojJ8gLcvPUIX/7xf%2bHpl3/B7QffYP74CioM5SjJSGEgtO056bTjeeig528tz6fw5aO6OIeaZVQ6pErVVK5Yawtenn5Jsg3ZWcx8JvLT0pCbkqIZIdkSExBkaY/JClVwqhwYqASvykP20/jv8lp%2bXNDSQGPU1on%2b4Qm0tnVD5%2b2GwCN74LFvG9744X%2bGw6Z3YAh3Q1GkNzICXZHi7aB2h9O9HFAY5IZqlkQ3x9jxolQCkMtjMs4fP42v/vy/8fybv%2bHF7/6Ox5//GVdvPsfg0Dy/m3N8QS7bVwbvIZcGje25uoxlqT3Y1X75UaqSpiWoSCVVHgBLnEUMvCA9HXmpqcjhHJLNkVrtB0g7EFGQvqiVg8YCKQn1IEEdC1QJtLe2o39gGJOzxzE%2bewJ9w5PoH5lEZ/cg0mlo4vy94b7nM7z9L/8V%2b37zJowRHIl1vsgMcEaq91Fk%2bDoim6sg0AVmft6XGYvpsmz0ZURhiMr97Jv/wLOv/oLnX2sAyHHtye9ZCk9hae6FIZPDW04eaio5lNXVs5/na095rE971GaHbHoycNnqU/WenYnCjAyV9RxmPYuBZyYkID0%2bXtsSk10hWUIRGxtsJaEQZJlUE%2bHmJqzDQpoAAAsUSURBVAtGphYwNr2IxVMXMDazhK6%2bYQVC38AYvyQHsWxXzts/xHuv/wDb33kN%2bcFOMHFgyfBzQrKnvQreGOKJUmpDc2Io214qemmU2gqycfv%2bl/j823/g2dd/XWeADYRHL/6ExeVV9PXNYHzipHo9OXcOzQ0WJi9LZbmMYMixhPcr8ciWf2FGOjsT6Z6aon5lkpWUgIyEeKTHxSEtNlbbFi/ISCM9MtgXM3kxloSYI15Ifjxh4L/Jc/beviE0NLZgnMFPL5zE0umLaLR0oKt/BKMERVZP7wgNURpCXY9iI4eibe/8HHrHXaigW0zzOaYAyGPdl0fSwMQGo0dG1/RwmqVErF67j9/99f/ghTXwVwH48vf/wNMv/oyb977ENZbDjbuf4wZfP3j%2bJ9x%2b9HtMzSyjmPcroiZB56enqteS7WxSPSvRlnEt6NTYGKTE6NWyy0vTTv5/QdBaRYbqChevXoelrQuNTa0q85NzyyirMKOg0IiewXEMj8/i5LkrOHHmClrb%2b1FWbMLO99/BjnffgNeOj5DpR%2bX3PYZMrvwAFxhDPVFDA9PCOWKsqRanz14hq05i5cYjjQFf/VWtp3Jk9r/49n8qQXzw9Pc85ykePf8Drt/5HGuPf6cAu/f0Tzh14QaK8/OZ2RgGLkEnMuhEZMQz8Lh4FXiKPgbJ0Xok6aLVStTpYJeTnEQ1TGZ9vATBkJWpWkU%2babOwuIy7T75EfUMbKqvqMTQ%2bh9qGViRygqtvaUdzey/mjp/FpdU7GJ9aRLm5Af1j8/D1DsCGn34f7ts%2bQAwdYRqFL1vmAH8nGELdUcm5f6K7h1m9Q4BPoLNnlCAPE8QVBiUB/1Wt51%2bTBd/8XQGy9uRbrN58hkef/wlXbzzB3Ue/U%2bveo2/Ihj/jMgGsKClHYmSECjpVsqyPZtAMOFqnAk6MikKCrEht2WUmJqhfXeSyPvIYcAEZIUDk8LMq9v6VW/d54ftobO6GwVhBa9qE/KISpLHee4YmYOnsx8nzqwziNkYnF9A9MoNTl24gp6AMG372Q3hRD6KP7kaK%2b2FkUwdS3A%2bRBRyLK4w4fp6gTU4QuCnUN3aiqqoJ1XWdLLOTLIG/q%2bCl/p9/9Td1lKzfWvsS95j5C1fuK3GUJe9v8vM7BOMGdcRMgdQHBzHLOsRHRiI%2bIgJxEeHaCn%2b54iMiCQAFIcsKgohEbmqyppSJ8RgeHsfpS9dxYfUe2jqHUVpeC2NpFXLyDDCWVWFoch7dFL/zK7dx7vJNzC6dxcT8KQJwHW2t3Tj0wS/hSQbEsudn%2bjghgdY4neZH9hkGxxYwNLFM0E5hhKulfQjNln4UFlUhM8OA2YVzVkH8m1YKZMOV609wnyy4ShZIKQgr7rMs7jz8WoEgx7uPv8UdnmOurEGEvx9iwyMQExbOFYaY0DBEc%2bnDtCWf28nj5VdBENEQ2tRS%2bE5fvMZ2dwLnVu6iZ2AGVTWtKKtsQIHRhMraZvSNTLN2l3D11kNqwAoWT17A9OJpnLlyE309AwjY9QkCd21CqushZLD/p/m6sJ9PYGT2LBZOXydwDwnuQ5y98gDzJ6%2bhrLweqckU4eJqssGCSytr%2bOL3/8FS%2bDMePfsDVm4%2bVZQ/feGOAkI6g5TFwxd/wBOKpJTGoxd/xBMxUE%2b/RU1NI8L9fBEdEsIV%2bnKFhkJnBcIujaKRHh%2brnrNnJmrtIZOt4uTZSwxqlSZnigGR3tOn0NQ6CHNdO0pN9aiqs7AEpnD8zGWs3H7E4C9i6dQlBcKVWw8wMTim9vgSSP88H0cUBbhisLMHF2/cxaVr13Hrwde4QdquUtGvUdH7h5eQm1MKQwEdn6EStbWdZMElZYRkiepfYdYvXXuCC1fvq%2bAfUgwfM3Bpm59/%2b3eC9Q%2b15LO7Uh48p7WtB2E%2bvtAFBSFKrWC%2bDlag6AmEXRpbggZCjDIGiayZ5sZmXL39EPPLFzAwOo1zV%2b9idvkKW940GkjT6oZO1DZ1YnB8ARdX7yqNmD1%2bToGwfPYqrt9/hkmaJSN9fx7NTy4tcAvt68Lpq1g4MUoBO0uq/g6rrOkb979ima2htXMalvZxdpo%2bVFe3oaN7ite7rpT/0QsRuGdkzCOW2ppS//tP/4D7ZIWUwefsEtI2NQZoa01Kg2wREArzChHk6YkIAhARGIiowCDoqBHRwcGwk54oS9pEsl7AiMfU7BJpeYu9nW5v5jguXn%2bAE%2bduqpq1dI2ioW0ALdSE2RMXVPbPr9yhNzjNFnkRZy5ex%2braUwwz24UeR1Dk54w8l32YHhzFxNJljExMso8/Yta/YPZf4DLreX75Bqbmr1BDVjC1cJmvL2Ni9gKz/Vi1P6nrc1cfsdXd5WzwFR4wcPnswXON7qIDD5/9UX0uwQtj5Hjv8TdYo1cYnVpCkI83whl4OAEQEASMSC4CoFcMSCP1RRmrK82s/VUV1MDoHN3ecVL6CcvgHm/uIjr7Zxj8KHqGZ3Hm8i2sEoAzl24pbzC/fB6nzl/D1TuPMdDZiyzXA8z%2bIRQFe%2bHCyn2cvLjGa71g4F8R1CdYufOCQD9iF1njd67h7OX7yvev3v6crx8oYXvM7K/e%2bYIJuM3Pn6tgb97/GrcefqMYIMOSfPZAgaBpgQ0AAUSYcOX2M8QzuSG%2bvggPCNQWwRAQ7FJioyEgpOj1qkfOLiyrLJ7mmphdZtCnsXL3OS5ce4hFClffyCLa%2byYxuXCWNfkAV24%2bwKmLN5UYSsmc4t9duf0Y/e3dSLLfibgDn6KZQ8rq2jcqi6t3v8Al0lkyf371Kc5deayCldoWv3%2bPmb3OepfykCAk06cu3MN5tj0B5BYDvnH/GzLvc7a%2br9RnUhI2ACTox9YykNcCznW2xtSkVASyDML8/CmM/uwQAYgkE%2bzELAgA0hMLMrOpsCtYpqLPSEtjVpfZ41fuPGOgTxjcXVUGPcNzWL5wXWX/0vX7POe68gDHT18hc%2b4y2GfotrQjas8mRB/ejhEao%2bWL99ke7%2bPitafMPsWMc/6Fa88YPDsBa/syGSFCJ3195dZzqv03aj/g4uoTMuSOanG3mfXVO18SgK8VS25TSNeeaGboOoG9RtCkOzz%2b/GXwwhJJYFxUNHXAC2G%2bfmqFy/9D8Pe3ARDLHhmKhpoGJWILFLOh8XkMjc0y6BvMGml55zkz%2bACjM2fY/08wkDV%2b9phtbA0nzl5jL18gcDREfH/74ecoKDbjo9d%2bhMyIEEwssqap6KcIwvFzdxm4APBCgXGGAii1LgqvMszgJBAJQF7Pnljh%2b2eKyhcFNLLmCstEGR8CconXOHVhja34uWKBZF8Cl2sJGPJ3K/deIDEuAQEeHghl4CECAo9hCgBVArFUxCB0kLbLtKJT86fR3T%2bhmRyaoGsUq%2bv3PucNPyb1L2Bq8Twz8Jg01ABYJgBjFJpTZIV4grtPv0ZcSg5%2b8qPvwVTdiOHps0o7Zo6vKBZcvknxu/GCgKyxBB4QtEcqaLlpOWqZ/b2q%2b3l2H8myZP78yhPVCW6ufcH7%2bYLMuIezlx4oIB6RLbJswcvfy%2bvbj3gt6khTSye8nZ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L5lOjVc/aiYk0aIEftyxhqpwXybLw/do9y0dv/5C0rQD9l3a0KedjEvXNrgJlV0ETN7i6RDbLgxw68Uw795MUOuvEKVtGhujRDirA3oIMEWNVpK%2bvb4m0q4T7j3a0%2b3Lz%2bnw9efYdPyGIZ6WbJgymB0zElkvKjw%2bcxAF59bza9Ed/qspg3%2bvesXuVbOxeK62LZC2f/D8IfsOHaBAIFdcYVIXVJrBrTw3g9zJI0l3syQ9xB2TXKEhkur0u/r3Soa4v1E4YJo0gkJRS2N6KrWywhWSxDWjBlGfOIDG4bE06LMf5k0jLyWF2KBAWn9igY9tb2LcNdeuvRioaseKzsIkdAzxEyVQjBXSDxXfz4p04Dvx%2bP7ZScyIcSNBVBhh9S3%2bXb/Bqc1nBPaTR7CR1u/QGp%2b%2bXRnmZ8fWyYO58/0KHu9fQfalPbwQ%2bmef2sC7lPP8Z0MK//0mj8yrR4wOSBHglXDgyD6xwUMFXyY9UGa2wKZr50kNciFDlSuZNp4Mlz4Unz9F3U8/UidarFaSao0E1NZTceq43OE6as8dxaQZrpQPaNYovb5wnJYAB5qG9%2bddRSlFNdUc2rdHFNSNIEdLJsqLDFJFo21keCzby921xaNzKzw6fi5j014s0JeVg725tm4G1zfNZalUnRkM7ToSLmMUJX0/TJQ5ylvqL8iB2bHe7JwUz4nFyZxfPYmLqyZxc800Si59z7u0y3zMucGf1S/gYym/VaRikS/Fd%2bv%2bbQ4ePapOMFFhSF0pv4ItK0n16EfOyCHU3L5BTmwgOckJ1L5ppk7oX7Z0JkUj4qhMS6Hu5480/vwLde9/oOLsMYqGRlH38C4tSmb9iFjqw91peXyPt3/9K28/vKWgpJDpkyYwMMiN%2bYkRZsMS0Lc9/TT/7dXGbT838OAL/KUPZoXbcXBKPK/2rODZruUcnjmMBbGuZlYY6NiJeCVujEdfZoa7sHCAD0sGB7A8IYgVQwPZkBzJjtHRnJ87mpxjG2l6coo/Kp/z701Z/O/mTP6rJU8JKC9h267t3HvxUlpflXz2iEyBQ6pdV9IcelF1TpXdsIxU226UXrpI3S8/U7J1FflufSkcFEa9gmx49Yy6xw%2boN2jx/Tsa9T2NGo8KJala1NZ0ZI9w4Xea1S1vBabvf/2VS1vXMz3Sl9lDw2V7vyHEuQ89pc3bfPE5Hb/8DGslIFZcv3aQF7dWTybv2BbS96/l8dZFnJyTxNZx/Vk6OIiJgfZC/76M8bZkjHTDOH9pAQmlef292T4%2bhgtLxpF2aB35Z7fT%2bOgUvxY%2b4O81L/nP%2bpf8rewJFtfu3eTYiWNm1Vcl1M%2bZN50UzVPRolkULZlHRqgz2cpwrjHPHz9QdHw/6R5W5Ef50lRcRGNxIcXR/uSFelKflSl8eEfzh/c0aTXkpNFw9ijNhjz%2b4QPNP33kzV9/5ocTe3kqC74lMZoxEdIJ3b%2bVpZUg6t1e9rYd4YYMlvubLCo8PCGe9N0rqZKSKzm9k%2bzDGxXQJu5uX8rhuWNYrSSsiPdmbWIga4YFsVTnqwf78f3EARydncjV1RN4sXcpJo1A3d1j/JR5ld/yb/Jn8S1%2byLmOxbadW3ma8gJjFCrF%2b3W1NZTevkWtdH2j0LtoWAyZUmhlN69Qm51GptxjukAr08%2beqp0bzeovX%2bBXsWOzOch6jcjrty00mj3B33jz%2b%2b806XXzx/e8aaqnZfVC3oc7Uz0wmOMJEcySaxwV6MAQiZlEcfxwofcg/b1YFWGxDM01Kbq0bYsoPbKeSim4sgt7KTq3lxQl4eLaWWwZHsUSMcPqAV5sSwph15go9k4awJGZQ7m4bDx3JYCefreI4rM7aLp/nOZHx/jh5Vn%2bLLxNU4YScOXWDXKLCzDAsPSfGr%2by%2bbXm%2bR0V4vrsKG9yRgykITODAunnHOeelGxaRem6xeS69iZXo1A0dwLNLS28VtVbxBCvf/yB1wZT3L1Gs/Ck%2bceP5o5oLjfRvHgGb7/fyI/CgfQls%2bXYQpge6yXr6iKOd2S4RFW82CDJy5JNw0I4KxpL2bKQujPfUXv%2be2pvHqH6ylGKzuzmya6V7Js0mBX6/IIgexYG27NRIGlgxrlFo7myYgKPdyzk1f6V5JzcTO29ozQ9Pc67F6f5OecaJY8vGCBYLOQvle0tNltf47xEy9AAJUL5sqxUSl88Jm/OJNLl0goXztA8/xXTge/Icu9NXpIoTu9tNILXjLf88hPNEko1axZQ4etA9fA4GkW1r3/6QSPwE68//sjbn3/kZ2FJuTBidpQrIzW3SXJ6CW4yQFqG1V0Q48nmhGAOjx3Ak7WzqT%2b/l5YrByk9tZ2C49s1Clu5vmoGe8fHsW6gD8siXMxrkxJwQLb3/IJRXFk%2bgetygan7V5NzfBP557dTc/%2bQknCC1ykXKX56CQtD25cogH9Y3GrzMqgwX%2bYotzBXpqeGmjdNlL58Qt629dSqS2ounSPNuYco0p4aAwDfvada8rhF4PZanysdPZDSAYHUTRlJpfR2o4xSy6%2b/0JyfxWv9vRYl66O6ourhLebGi9b8LRnl1YuRnj1JkqydEGTD6oF%2bSkAQ%2b0dGcXfpJOrO7ePvKfepPLGF/O%2bXUnRoowKcxnapvjVxHqyKcWddvJc%2b488ejcHpmYlcWzaR2xtm8GDnIl4eUBec20rF7QM0PJXTvX8S00uNgGFtjYCNJBjB1xj3/qQDyg3np67IkUUuKJEJqquiRuKnQUhvWrtEQGgpUDpCZUszJomn6reyw88eUBDnR8nAcJrvXKMyLpCaZXN48%2be/8jYngwa9rp0%2bhjctb/jx73/y9m%2b/s2RUHOMV8ERJWEPxjVYSpknurjESMDSYHUOCuD53lALfwX/kPOOPV9f5%2bcF5flf7Zu9Zy84R0ayW/l8uHFgpkbRJCdg1KpyjUwdxRRhwc%2bMsbmyey%2bUN00g5vpbG56d1naepSrlGTc5jLIy2N5JgmJ6qRllcrdKqfySgrLrcnIQ8YUShKltWXkaTMd8yQlUCzlK9zi8qpLq2VkLoMNkSItm2Hag5cYj6nRsoEz7Up6v66pCGCcOolyBquHiKN/pbLTJMH%2b9cZeeSGRI7VkwKsWOSdP8Yj57MinBldX8f1sT7skGJOD1lIJmqYtXp7RQf3cizTfMoObyWVNndnSOi2JYYbAbBZdEagxgXdowI5eDkAZxbOIo7m2dzZ%2bdCjixP5sy6yWRe2k7%2b7SM0ZN/lbamEUG5xPgWlRWb5W15bSWmNZl8JqNB5tdq/trGBWvkBwwSV1NVR/uIJVXKOdT9JD5SaKKrUZ86fIFXGpCAxitLlMymJC6DUy4bymePM1FcvwKwVdb5eMov30gHNK%2bfRIjD99eRBrp49LlHTT7bXnvESN6OkCmcIEFeLJZYKgJdIKe5JjuPO6umcXzSBZBdbptj14qgEztGJQ9gzNp59EwexVl5hmZIwI8KBuRJK2%2bQIjy0Yzs3N06Q5ZrFuyiAWjgjn3KaZ5N85SsWLy7QUPcWioLSQV5rRV5mp5BYVkC90zlfLG21fqPNyAaLhCutEb8X7d5LuY012XBBF8gTFFRWUS%2b5WyUsUSwFWijVeG/5h7BDKpSIbnj%2bg9pJazteW%2bigv6geF8nrKKN4EOtG8YCo///3vZMo7TIjwYHKYC5MCbRgnnT9WtneBRmldQhSrNE4Hxw%2bWnJ3NfmHK5pH9OTp/IrsmDmO9zreMH8K%2bGSNYkxhuFj/TYz0Yo25akxzByZXjuLRpGgdli0eEuTMy1IXja6eTfeMglS8vUZ/7CIv7T55JBzw3t3qxxiGvsICs/GzSs9LJk0s0uqFS9FW4dDYZbj0pHBlLplN3SndtprShgfz8fEqUgBIhv0GhdUpaUVIcFRNH0Pz0PhVhblSoim9ktZtEn43i%2bqbhMbwVbnz48%2b80NjWyKHkgE6UNJgfZmROQ7NnDDIpjApxVUX/WJ8awa3ISkyW2Rvo7MTbSh6RAV8ZF%2bTFpQBALhkUwNcaXEVKFSRrDCTFeLBwawAH5gTOq%2bOppwwmx70VigB1bpg8l9dJumnPu8rpQHfD4RQqXr9/jwZPnpGZmkZYlvi/MIysn23w7vDL9BVkK6IVNBwq/W0v%2bxETSwz1prqnhzS%2b/ULhhOS8H%2bJN%2bXqhaW0eT0eISU3UCzyolrUxaof7GJd4qQQ2S2LVijjdP7vHeuGEiF/nzv/87361ZzGhd%2bCRVaJQSMFIWONGjF06d5fa6fEO0U1%2biXKzwtexCtLNx3pc4DxuGB7uTrCQkR3gzUooyQs4y1Kk3Y6I8mJEQwlR1xJkNs1g7c6TcoujV347v54zgkXDE9PwSVam3DBAsJkuVfvjkKXfuP1ASUigU6JnqRIeXz5AW4kya5beUiverr17gRd/WFMv11f34E6aTB8iVTM7wt6cs9YWo5SZFxw5QX1crRfiWJnWU8cTozRtZ5znjqJKDa9i3kx%2bkI95qpN6JBX7NSed8UgzDhPzJoY7Eu3QlTnji26c99l1a49StLZ59OuMsv%2b/UvT3Btj0Y5G1HUrAriRqlUQo8KcSNxDAvwlwsCXHspe9yZYo8RlKgHRc2zGTfyumEOfZkiBzj6fUzKbh1DNOzi0rCFQMDSswbHgoFgrl52aQItfOk8bO3ruaVTTtS/Gxlhz1JFbDlR3uTHmBPqfi88MFtMoXqWd7WlNy9TnVpKXnRfqQ4dKVAiSqT7a1UJzR%2b%2bECLYZKO7aVu3SLeSyx9kAZ4/9tvvHt8n1/jg0kfGMSgAEcS5ONjXHrgLy/g1rM9Hr3a496zLT59OuHVsyMu7b8mRgZppvBiRXwga9X6awS8a0SFM6U7Ihx642/ZmQRd13C9Z2K0K6fXTGL38skkhjiRHObMoaVjSL98kKybx0i9uheLMvn6vCN7yblzQ0koo9hUQrGSUnjuBDmThlNy/QJVwoS8oZGkWrZVyy%2bhtrqUDP3BLFUqW2BXaOwTmJhEhjEmQvwyaQqTvqNGCag03KI0Qssff8ohvuOdRNB7JeC1TNVrf1t%2bHx5N5dBoxvo5EedrT5S7JeGqZJCcaIB1J/n%2briS692W0dMcIxx7M8nNkUbAHs32cmO3rwtwAV%2baHeBLeozOOrb/Es%2bOXBPVrT4K%2be9YgX06tmci2BWMZHenGNNnlM5tm8fD4FlIuHeTFud1YZE0ZQZq4O9XLmqyta6UF6sX3JiqMfQH1sseNjVQZmBDuRroArDY3nZLFM0m3aqsEJVE4fyoZorQMx27kjUswK8UyrSopvnrjmYFx%2byz1JRWXxP8yRR8%2b/mBOQvP547RIA/ygZP549TQ7wo0HptbmW9uRbv2Ice8nY2QrXeDIGFc7RjtZM9LekqF9uhPTvj1xHdox0qoXM71cmab3jBA1jpMljrNth2%2bvNua7TNNFi/slhpZNHqaRcTHfLr%2b2dyXnti/j1eVD5D26jMUrZTd/ZDypql72ltXi%2bhrKherVmk3jrnCFWKBGgqji9DEqju6ldOd6Mq1bk5sQSXVVFSbxeLZzbzIi3CkXDRq30ssrSqiSCarWnNc8e0TFgGBKdXHlsyfwTqbJsMtvRYHvJI/fSxF%2bOH2Qa8HOxKkLwvRdYQ49ZYs7ENi1AxG9uxLStjUh33xJSOuvCP32KwZ2ac9UB2uW%2bnuyITqAfaPjOTItQZY4QGziiHeftrj0aMXcBD92zB9DvDorSSO2arIoc810Tm5bwsNT3/FSo2BRdPR7MjXbqRIdZYX5FNVWk79jHSnufcjbskq2uMl8/%2b%2b1ccdHsrf0wimyxsQLA%2b5Q%2buQBuWq1TGW74sZFqjXrJWbtIFltPCYTiJb42FE5PpHG/kHUL5lOi9q/RuKr/OJpmjQize9loJSswjNHma6kRslaO3drZX5OGGnVnpje7enfox0Du7dlmMAwybIrY216MM/djg3hfhySWTo/b7QcoMTQ8EAmSw4HiwncBKIrZJQMio0Ua8wcFMiGOWPYqnE4sX42D09u58m5HQJBafVX3T%2bnaN92Xsu7l104SZqo66VNJ/JPHqJUuiB/60qqXj1WYGWYJGNLNN/FCrJw%2bSyy7Ttg2r1RDu8nzbvhIkupef2a8oO7KdTcVuk9tbs2YRJbvEl9Tr3cYvXahVTZd6XmyD4JrNfmx%2bnv/vgb%2b7auIVh05di1FSHW7czPBcb62DJKASULE8Y5WDHOSarRw54lor7NwyPZJiW4R0pww/AgFsb7MFnWeKCPDcNC3ZJbODgAABOFSURBVJiZFEmsl715HDbNSGDTrJHsXDCas9sWcH7XKh6d2IxFulNXUsW/5Zr7yldPyJV7yxTYlB7ZQ61kbPasMaT2/JyMSYnkix4LCnIpMRWZtUJlWREVD27SUF/JG1WyWhWtqqmiZP0Siu27UdI/gKZXTymL9cOUHG92i02XT9MgPm6ePJyW5gZeH/yeuhFxVD99SHpGKjGedvRr94XQvIP5kXeilxXD1cIJCiRSYiZGmiDa2YohstpT%2b/sxKz6AFUMCWTDAm3Eao0kx3qp2EEsln%2bdJKUa5WjJnaBCbZwxj68yhHNswm/O7V3N57zqentiIRUq/dhTs3qZ5Lidd8jNNWJBh35mytYuF6IvIsOss4eNB9qPbZCt4I/D8ghxKjBueH97RrIo2qvVbBHB1wo9CzXle3/YKeDClUnDl4ukyL0sa7t3gjaEL4vxp0tg03r5Ac8ZL3qpSbxLCqMlKM99T3LFmmZkCA227EyEG6C/bHefSC%2b%2b%2bHXGUMPLu28UsiCLtezBalDxZxml6tBsj/G2IdOop9JcXMDpj3jjmjhrAmHBXNk1PYNHICHbNG8mFHYsFggt5cnw95dfFAmnSyJVq8zzZ1JQ%2brcgWr5Ytm0mm/nCGQxez7S3SvBYo4ExdZE52BjmiStOjuxSvX0j1i0dC%2b1pqxRhlhiQ%2bc5xCJa9CI1J39wZlnpaUqRJNxtNlydkaP2ua4nyoHxzKmyGRtIiv3yi5jT9%2boKG5nkqB7vDoEBwlgFy6t9EodKC/Q2fz7hC3Lq1w7vQ1Hl1bE%2bfQg5E%2b/ZgiGzxNcz9VFDdI/D/A145FGosVUxIZJ60wKzGCZUL/rdOHcHHbPA6vmcbDo%2bspvn2Q6ht7BIJ7d5K3cg4ven5BeqAzDWrrFoFhnqEANd/532%2biRMBYIGlr0ggUieKKrl0gI9iRTIcOpEkIVT19QLkMU5GSVPq6iVIpwSrRaM2FExS59qTukNp873YqVdHaZbNozsukUfPZ4tWP12KVlh/eU2fceBGD/PDbL1y/cBqHLkpAz3Z4GjtFRLnhAsRoO2PvTxcpxR4MF21PCHFlRqyPtL8H4/vLC6hTk6O9WDV1GIvHJ7B4TH85wAhWjY3hpATRhS2zuSxr/PyUfMytfVQZCWiS7S1YOpOXko3FNy7QVF9DthRWumUb8hZNVVDl5ORmUliUZ34kXnh4N6lO3SgY3Z8CKbhsZblBc19RV0X%2bnm0UyhqXGkxQU0FjfR0NadIANy5jCnI07xyrMzZeyhvUqWVrxg%2bTqKqgXoaoVuDa%2bO4tb%2bsq%2bTB/PFMc%2b2DbuxMeYoFQAWaMVoJE0jABXKKSPka0NlUma3yUJ9MSgpmsuZ87LJwd85JZMz2JJROHsiQ5mpWjQtk9N1ESeCpXts3l1v7lPFb7F1/cISYSC9QYnl/VKs/PofnjOwqWzeB5ewty5PrqFUR%2bUb7ZGxSrvQuk%2bFJt2lM0exzVxw%2bQbttRHmE7Lf/6J5XSA0bSMqN9MBkAKX/RqK6oVHC5hdmU375KuWiz4uVjKvytqZVuqHzxmDLhRp3%2bTv27Ft5XlvF2zEB%2bHhlNxrqlBPfrho91d4IFqDEuvRmiqg/1tmGEJPM4CZtRIS6Mls2eNDDQ7PiWKeiVM5NZOW0Es9X6swf7s3PmEA5L/p5aPYkbuxZw98AqMk9vIvv4GorPbMGipLRYsrXYvPmhTtWvz06jeNMKGYVH5i0vxs1RU3EhefOmkN6vDTkajfpnD8gfFEymnJ0BfI0FWRSEuZLlaUXpzSvUy1MURHpQMm0kJQLOMnVRbXMjZUpIbWYqdctnUnv6EDXSFTXqgEapw%2bb8TN6PjuVDfx9%2blaB6tXI2A7zsiPC0J0w0GO7Uh3gvG4aq8iMEnElBLjp6Mik%2bhIkSWnMMwBsUSWJUALONW%2bUjwlmVHMmu2UM5uGg0x1dO4vKO%2bTzYKxW4dzEpe5eQcmCFvIC423gUVqcWbjK2uWgea2RgCktkkkR3xVnpZAwJJ73XF%2bSpxXIiPckKtCVLRqlsh%2bb3w1uKRXF5tuqM6clU6zOmCUMpsmlL8cp56pwSCooKqBDN1sp0NYo1jIerxk1UA/Cqm%2bppenyH90rozzIrPw0JpnblLJZofn0ce%2bNl24dITwciJIej3GwZ7O9qDnyEdMCoqCAGBsgJShCNiAsjKTaQsWKZSaLHZcmxrBwXx9KR4WyRStw5ZxQHl4zl9NJkzi8dzbW1Uzm%2bOBmLCrVdfWMdLT/9SNWlM%2bTKBVbk5Qj0CsjJySIvNYXc9YvInDuRAlW2SL4/x60HOcFONMtBFkvUZMvmFsqa5vjZU6QKFrt1oWjsEAVeRI46IFfMYWytqdH764QzjdXVVButryQ0NDfzWrjyRrjz9sENPuj3pyYPZZT8vLHJyq5XV6y7dsKqcwecLHvi62CphDgSIyMUF%2bhGhLcToVKFAwPdJXkdBISeDA91J0ldMl7XMntYGCtGR7Nl6hB2Th/M9gmx7Jzcn/2zhrJ0SJASINvarPkr3bmBFFtxft9vSY3xpTBDtlhskGtUUCxQVGpSC9dRcmgXKd2%2bpGrzapruXlHwbclVu1drtk0Lp1Fi34mSGC%2bqs1IpVNBZ6qBCQxoXFVKrDqmXJqgdP4Sq7FTqNRaGYTKeIjXVVvBBRXis8ZojEBsQ6kWAuyO%2bjvbYdO/Jt19%2bQedWX%2bLQ/VtcpQUC7XsTIVEU42JFnHMfMzMkSV%2bMFjuNFOCOifBQJ/gyZ7Bss8Bwl2hw3Zgolg8NZFViKHOkGOeo2yxqK0Rrs8bzsm9rClW1bNfuZE0YQqFxn8C4P3hoNwXi8%2brqKurkCxrVMWXnT1H74Lrm3I0c%2b7bUisfryssplvIrdO%2bhTjpFVXMThQLW/LIyAWIGFbK9dQP8eJ0QSuOgEOorimloaeKNcKDl/Y%2b8fv%2bBH376iZcvXjA%2beRTzpo9lYKg/Pg7OuFha0vXbb2nz2Sc4ye569GhDgFVH%2botiB0qvGA9VksUq0ySIZvX3YmacN/OlDpckhrFhTAw7pkoqiwqXDQ9l/mA/JgrHxgizMtPvyw5Lhb3o9gmmrSsoluxNkdPLunjSvO29aN9OUvt8SaqscLVJFZTFrROqV6pta4UZFZdPYRIbvJNZMsl05Om9ZRuXCfnrKBZtFiopBphWDA6hRirz/ZmD1CZEUHfuFO9/%2b5Nf/vw/fPjjv/n4t/9NTl4puUUVvMosYfe%2bQ0yZOJmJoxIJdHPG1bIPlh3b882n/4Jt2y/MCfCR4xtibJ8LsGG0j5WCcmJevC9Lh4WwSNLXOK5PjmH75IHsnDKQxQkBzIjxZGSArWS1JQ/vX6b59z9lh/t%2bRdm%2brVTcu0xm329IT%2b5PvrFL5PYNMj37kGors3PmiJmqsgSC%2bZOGY5KENbfvmzdUyfIa9wtKZo6meFICtZrzohIBoUbL9PAGVapKnXc/6kSBeS/SKHyeTsPbnwWCb/Udf%2bW3f4OiskZOnznP5at3ufvwpc4vsHLVOmbPnMqkMcMIcXPApW83vv7LZ/T4%2blO8ehjb49sTIW0wLtiB6QLPRQp%2bVVI4q0dFsTAhkKXSBmtGRLJJjtCo/lSJpQRdx2Al6%2bblw7z//Q9K3/wuM2Tdnsx4UVqUO%2blWrTHdvkKlqZgczU%2bWkmMSZbX89hvFi6aQ0f1TsoarggaYNdZTJVFj/OdIgd7fKBwx5G6p8WxRbV9x7jhlvtaUypwUnzrN89Rcbtx7IlGlz9Y3kVVQxau0PEqrmjly9Djbtm3h4KGjXLpyhf0HD%2bj8EFu2rGP9usVMSx5OoGM/vm31FW01Bi6dWykBHQiy7SZtYMNsqb%2bFQv4lavvlmu8lCn6x1iKB3FxJ5NmDfJio6hubpXeunclf//jAu1//naq3/4ZF3c1LZEe4kNbjE7JEHTUKLG/KCLKUjCyrb8gMd6F45ghyHDuSq/NqzXONsUvM2C8o9VYq%2bWtsr6urrzZvl6k2bogoMeWbl1G/cAZva1tIyavi5q37PH74jJfPX5GWr8/VNnPxxiN2fn%2bA73btYtf3e9m5aw%2bHDh/i%2bMmT7D9wmPUbt7Bw4QI2rl3L3HGj6Ni6FV8rAdZthQO92hFk18Ps9QdLII0UA40NcGJalDezB/gzQwwwLtSRyVKqK%2bdNZuOqBaxdsYxVq1dzT535x/%2bB2p//A4vXlSbS/Wx41ftzVf8ilQd3karzzEhXyg7KJ6gTspWILOfO/7jp0fyPneEV8v3F4vyqhgYqdq6mQJmuEEPUqAOKSwvJknyuaXzHf/6/6H313L33mFs373Hp8nXSsgspq27mwZMsNm/eqQR8zwYFu2v3Xo4dP6EEnGLHd9%2bzdOlKlmhNmDiNUydPM7h/fz61sKDXN1/gJEPka9WFaBdLYj2NrfDWDPGUTJZ1Hi1bPFLGaJjYYPni%2bSxYvIbpMxaQNHwUA8JDGZowlLuvMvn4f8GiviiHIs1vzvSRFB77nlfWbUizk6i5fFZAV0OBqCLT6muKNq80y9oKBWiYFpPxTNF4NLZ4MgVunTF59yBfgFSU%2bpwyJefi%2bQtcOH%2bNX37/L41EAy9epimIs2zcsI5HT19SWNZEdk45t%2b884uixk%2bqAfeaqnzl7geMnzqjyS1iyZBkbN25g7twFjEgay43bD/D19KWVkuDY5Rvzdrpwx170V%2bADfezVCXZatgyVI4x368uo/qGsWruBmXOWMHfefKaPG8GgAYOI7T%2bc%2bMGJXH74BItK83b3ekoEXAV7tpKiOcndtExmppbscQnmuc%2bbOIRa4wanTI8hXY0tdNVq8%2bIZSeTat6Fq7SxKAq0oEl6YahvIzzNx7vx1Tp65ouCbJYWbePDgGWtXr2fdurWcu3SHtCyT8KCYtPRsrl67ydlzF3W8wcVLl9m6bZuCns/KlavYunULO7Zvx0eBL1%2b%2bhlsPX2HfozuW33yCe4%2b2BFrLKKkLjAQM8nEg3sPGvKIln%2bP8nNm0bTubNm9l8cI5TBw3jtEjRzJ61EiGDksmZuAoLLKfPybb4GshuXEv35STjkn6P//IHtIkf9OD7CjPSjPfIC0vL6FZUrm2rJii8QPJd%2bxA9Yn9VCnwAteuVL14QkpOCc9eZnPx2l0On7ioaqeTlVfOtVuPWLtmPWvWrOHE2Ss8fJRKalq2ed3QaFy7flPH28KAIwp8BXPmzGft2nXs3LnDDJCRkXFMmzKds5ducuL4eew6fI2jwNC7TweiHXrSXxWP04p06E6IfQ/CHXqbR2TFvBlmfJm/YDXLV6xg0dKlTNL3JI4YRULiaCyee/cmdd920nOzVY0UMnKzyFFCqkuLKDm1n2yJmjL5%2b5LifPP/BzSa8igSveT3sqBYnr7m0kkKXbpQNiOZjMIqLl65y6lz17hw9T7f7zvJrbvPef4ql3OXb7D3wCEFt5oDh06p2nd59jyF69cfCCDvcevOPbX/eXZ/v4sVK1ayYP4itf9GDh/8joUL5hIRHsv8eQtZvUoddPEaMyeMlyb4DI%2bebYmw6Ua8Sy9iJYpinLuLHrsTZtMdfynGcDcbtm7eorE6xc79J9i0%2bwR7Dp/jtLrwwk0JoafefcmQP8%2bV7DXu9eUreAPACtXuxVqFpQI1ydhCSeLS5w/IDXQgW0bHNDWRohh3iry6U%2bTZlfJrlzlz8wWPn6ZpVh9z4PAZtn13hMtXHijQHI6cOMeOPQdYvHQNe/cd0Yhc5vqNO5y/cJ3HT54rCXc4LDrcuWMHixcvZcGCxWzYsJ7jh7YwOimJgQMThQuLWbZ0ubDiFFs27cSje2vcu7UmsE9HBjj1JF4JiLXvTLRtJ8L6dTSrRY/urRglmn%2bqUStr%2bJG3v/4Hf/0PaP7tv6n78Hcsyu9cp7iygszsdHPwxh7hcuFB%2btE9ZLx4SLZGIz0jzTwmJa%2beUyC9XyiMMPYMN549TJF9a8rGDKC4uJRTZ6%2bxd89BBfNIXXCdLTsOcvLkeV6%2bzOPeg1T2Hz7L0pWb2Lf/iKp9SXOvdf4Sd%2b4%2b4MLFq0rMYTas3yjAWsSiRUuVgE1s27JFADiGaTNms2zZMubPFzas28L2nQfx7dsJ766tCBAlRtl0JsGlO3G2HYmwbE%2bkZUdClYBg6454yz/cf/CYP/8bCaD/xU9/V/Af/5Pat1KC1ZKtlcbOUAVaUFpMrWxrzrhB5vuDrzT/GVKBKXJzL9NeUlBeQaFxD18YUGvsFt24hNy%2bn1N1fC/3nr3k6bNsVfoC3323h6vX7/Ld3uPsk6y9fOUWL1LyePQ8m5VrNrBnz34z6B0/cZajR8%2bIGm9x6OgpNm/dIepbzpy5CxXsSlHjZs3tOs3tSpavXMnqNavFDEqO0QWHTzI1aTAeHT8zBxrRrxPxjt2VhF5Eq/oxxv8f2HbReHQisFcbgesV3v2BmOx3THW/kFH6gZKaH7HIl10tVXsXaZXJoWUmBPHcsT3ZoQ6SweL/q2fJEd1l3LpKzo3zQm5Z5PxsSiWXq4rzqLt3g4prFzix/TvOXn3AA0nd3QdP8N2eo%2bw5dI5du/Zr7eXAkTNcuP6QJctWKEG7zBe0Z%2b9hdu85xPmL19m19xDrJFLWrtsgAbSZjZs3sU6UuUKYsXHzZtavNX4nEF29XGC6XJ/dw3dii0ApwhDJ4kgFHKHAB7v0Jl4YEGskQYkx/p8w1LIdV24/UtX/H8pe/yt5NX/leUELWUVN/H8fnB%2bCnuq40AAAAABJRU5ErkJggg==' /%3e%3c/svg%3e" width="64" data-src="/assets/static/charles_blass.dea1acb.d43472f1b7cbd577cbf841f4cc9a39fb.png" data-srcset="/assets/static/charles_blass.dea1acb.d43472f1b7cbd577cbf841f4cc9a39fb.png 64w" data-sizes="(max-width: 64px) 100vw, 64px" class="w-8 h-8 rounded-full bg-gray-200 border-2 border-white g-image g-image--lazy g-image--loading" data-v-5b422e3e><noscript data-v-5b422e3e><img src="/assets/static/charles_blass.dea1acb.d43472f1b7cbd577cbf841f4cc9a39fb.png" class="w-8 h-8 rounded-full bg-gray-200 border-2 border-white g-image g-image--loaded" width="64" alt="Charles Blass"></noscript></a></li></ul></div></div></div></section><section class="post-tags container mx-auto relative py-5" data-v-5b422e3e><a href="/partners/tags/farming/" class="text-xs bg-transparent hover:text-blue-700 py-2 px-4 mr-2 border hover:border-blue-500 border-gray-600 text-gray-700 rounded-full" data-v-5b422e3e>farming</a></section></div></div></div><div class="pt-8 border-b mx-4 sm:-mx-4" data-v-5b422e3e></div><section class="post-content container mx-auto relative text-gray-700" data-v-5b422e3e><div class="post-content-text text-xl" data-v-5b422e3e><h1 id="collective-intelligence-collaboratory"><a href="#collective-intelligence-collaboratory" aria-hidden="true"><span class="icon icon-link"></span></a>Collective Intelligence Collaboratory</h1>
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<h2 id="about"><a href="#about" aria-hidden="true"><span class="icon icon-link"></span></a>About</h2>
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<p>At <em>Collective Intelligence Collaboratory - CICOLAB</em>, we know that by combining the right mix of diverse voices, simple tools, and methods that really work – such as better profiling methods, mapping, collaborative editing, peer learning, and Rapid Sensemaking – we can create the conditions where paradigm-shifters in multiple fields can better collaborate. In these ways we can better find each other, communicate more easily about what we are working on, and learn about tools and techniques to co-create, co-work and co-produce more effectively.</p>
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<BR>
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<iframe src="https://player.vimeo.com/video/436772110" width="800" height="450" frameborder="0" allow="autoplay; fullscreen" allowfullscreen></iframe>
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<BR>
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<h3 id="the-problem"><a href="#the-problem" aria-hidden="true"><span class="icon icon-link"></span></a>The Problem</h3>
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<p>Arguably, our planet depends upon humans figuring out how to get together and make good decisions together. But we don’t yet have the social frameworks or technology to effectively collaborate – we don’t flow as we grow – and we may be “running out of time” much more quickly than most of us realize.
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Generally when we try collaborating between more than three people, we struggle to overcome many barriers. These include using various messaging or collaboration tools (Facebook, Telegram, Instagram, etc.) which – by design – do not interoperate.
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New social operating systems have little insight or grounding in decentralized collective decision-making without top-down power structures. Even when people do manage to raise collaborative processes off the ground, projects often crash in flames.</p>
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<h3 id="the-solution"><a href="#the-solution" aria-hidden="true"><span class="icon icon-link"></span></a>The Solution</h3>
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<p>CICOLAB brings together thought leaders and experts from diverse areas of collective intelligence to figure out how we might work, build and learn together, better and faster.
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We host and moderate online events for people with projects, initiatives and organizations which may overlap in surprising and synergistic ways. Through conversation we can meet each other and form deeper relationships.</p>
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<p>Here are some examples of our colleagues’ activities:</p>
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<BR>
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<ul>
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<li>Marc-Antoine is a programmer and specialist in interoperable data structures;</li>
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<li>Jillian is a facilitator guiding collaborative groups experiencing emotional difficulties;</li>
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<li>Christina is designing software to map social relationships decentrally within a network;</li>
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<li>Sean is developing a framework for measuring business impact beyond financial profits.</li>
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</ul>
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<BR>
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<p>While everyone is working on very different projects, we are all striving to create better conditions for decision-making, knowledge sharing, and highlighting flows of valuable information which may be invisible. CICOLAB cultivates an extensive “knowledge garden” i.e. database of interviews and roundtable discussions, plus maps and other visuals showing (a) various core aspects of collective intelligence, (b) who is working on what, and (c) their actual or possible relationships.</p>
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<h3 id="the-process"><a href="#the-process" aria-hidden="true"><span class="icon icon-link"></span></a>The Process:</h3>
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<p>We design easy ways to generate “Deep Profiles,” videos and short texts that capture an individual’s role within a group plus the group’s role within a network. Then it’s much easier to know who is doing what and who has which talents or interests. The Deep Profile lets one’s reputation emerge naturally without creating a top-heavy or dystopian “reputation system.”</p>
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||
<BR>
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<p>CICOLAB is at the crossroads of many different networks. Our prolific network weaving is driven by purpose, creativity and fun. Increasingly we include groups of many cultures speaking many languages.
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We host discussions and process them thoroughly (generating transcripts, summary notes, and graphic art) to leave behind “knowledge trails” for anyone to follow.</p>
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<h2 id="mission"><a href="#mission" aria-hidden="true"><span class="icon icon-link"></span></a>Mission</h2>
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<p>CICOLAB brings together visionaries from diverse fields to develop simple, practical ways to amplify network intelligence.</p>
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<h2 id="impact"><a href="#impact" aria-hidden="true"><span class="icon icon-link"></span></a>Impact</h2>
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<p>We create, collect and apply effective, accessible tools and methods to make groups smarter. Our approach is to allow the communication of projects, ideas and people to be easier and better so network members can find, align and collaborate with each other. </p>
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||
<h2 id="powered-by-threefold"><a href="#powered-by-threefold" aria-hidden="true"><span class="icon icon-link"></span></a>Powered by ThreeFold</h2>
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<p>We can help people, projects and companies “Powered by ThreeFold” to find their “soul mates” (i.e. ideal partners) around the world by developing a dynamic, scalable onboarding system that helps network members find their place in the ecosystem and better convey their needs and offers. </p>
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<BR>
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<p>We’re also developing innovative gaming methods to assess risk and minimize mis- or disinformation (aka “Crap Detection”). Thus the ThreeFold network can remain safe, healthy and vibrant, and protect itself from toxic patterns of abuse that have destroyed other coalitions.</p>
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<h2 id="join-saving-our-planet"><a href="#join-saving-our-planet" aria-hidden="true"><span class="icon icon-link"></span></a>Join saving our planet!</h2>
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<p>We invite you to <a href="https://www.collectiveintelligencecollaboratory.com/the-collaboratory" target="_blank" rel="nofollow noopener noreferrer">join the conversation</a>, explore our <a href="https://workflowy.com/s/collective-intellige/j4VFPGtdeKapOPmH" target="_blank" rel="nofollow noopener noreferrer">knowledge repository</a>, get involved in and support our <a href="https://docs.google.com/presentation/d/1fJyb323YcNEdXBlhbMd5OtLd4zRhXJsd-dGkCysXGBs/edit#slide=id.g6cb7bf93bd_0_19" target="_blank" rel="nofollow noopener noreferrer">Rapid Learning Network</a>.</p>
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<h2 id="tfgrid-solution"><a href="#tfgrid-solution" aria-hidden="true"><span class="icon icon-link"></span></a>TFGrid Solution</h2>
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<h3 id="roadmap"><a href="#roadmap" aria-hidden="true"><span class="icon icon-link"></span></a>Roadmap</h3>
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SLOGAN
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