https://www.crunchdao.com/

스캔 ID:: 09307433-2867-4c2b-a19b-ef4c5616a901완료
제출된 URL:: https://crunchdao.com/리디렉션됨
보고서 완료:: 2024년 9월 26일 21:35:47
링크 · 22개 결과

페이지에서 식별된 외부 링크
링크	텍스트
https://hub.crunchdao.com/auth/register	Get Started
https://hub.crunchdao.com/auth/login	Login
https://www.meetup.com/fr-FR/paris-quant-club/	LeQuantClubDeParisCHECKNEXTDATES
https://www.meetup.com/le-quant-club-de-new-york/?eventOrigin=find_page&recSource=group_search&recId=4fffb77c-48f1-49ee-ab6d-28723ff33681&searchId=5283152b-ad89-4fdd-8826-dbccd1e2e9f4	LeQuantClubDeNew YorkChECKNEXTDATES
https://www.meetup.com/fr-FR/le-quant-club-de-bengaluru/?eventOrigin=event_home_page	LeQuantClubDeBengaluruCHECKNEXTDATES
https://www.meetup.com/fr-FR/le-quant-club-de-london/	TheLondonQuantClubCHECKNEXTDATES
https://hub.crunchdao.com/competitions/venture-capital-portfolio-prediction	X-Alpha
https://hub.crunchdao.com/competitions/datacrunch-rally	DataCrunch
https://www.youtube.com/watch?v=6wK4q8QvsV4&t=3842s	QUANTCLUBDr. VittoriMachine Learning Algorithms for Financial Markets
https://www.youtube.com/watch?v=F-g7YhJ-tIo&t=31s	QUANTCLUBAnton VorobetsRisk Management& Optimization
JavaScript 변수 · 23개 결과

페이지의 창 개체에 로드된 전역 JavaScript 변수는 함수 외부에서 선언된 변수로, 현재 범위 내에서 코드의 어느 부분에서나 액세스할 수 있습니다
이름	유형
0	object
onbeforetoggle	object
documentPictureInPicture	object
onscrollend	object
WebFont	object
dataLayer	object
setDivWidthToViewportWidth	function
google_tag_manager	object
google_tag_data	object
$	function
콘솔 로그 메시지 · 0개 결과

웹 콘솔에 기록된 메시지
HTML

페이지의 원시 HTML 본문
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What if you could offer them yours all at once?</div></div><a href="https://hub.crunchdao.com/auth/register" class="hero-button w-inline-block"><div>Crunch Now</div></a></div><div class="two-circles"><div style="transform: translate3d(-0.2896vw, 0px, 0px) scale3d(1, 1, 1) rotateX(0deg) rotateY(0deg) rotateZ(0deg) skew(0deg, 0deg); transform-style: preserve-3d; will-change: transform;" class="circle black"></div><div data-w-id="0a5fe693-578d-a09d-5c46-dffad38635b3" style="transform: translate3d(-0.1448vw, 0px, 0px) scale3d(1, 1, 1) rotateX(0deg) rotateY(0deg) rotateZ(0deg) skew(0deg, 0deg); transform-style: preserve-3d; will-change: transform;" class="circle white"></div></div><div class="circles"><div class="circles-row"><div style="transform: translate3d(-0.2896vw, 0px, 0px) scale3d(1, 1, 1) rotateX(0deg) rotateY(0deg) rotateZ(0deg) skew(0deg, 0deg); transform-style: preserve-3d; will-change: transform;" class="circle black"></div><div class="circle white"></div></div><div 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rotateX(0deg) rotateY(0deg) rotateZ(0deg) skew(0deg, 0deg); transform-style: preserve-3d; will-change: transform;" class="circle black"></div><div class="circle white"></div></div><div class="circles-row"><div style="transform: translate3d(-0.2896vw, 0px, 0px) scale3d(1, 1, 1) rotateX(0deg) rotateY(0deg) rotateZ(0deg) skew(0deg, 0deg); transform-style: preserve-3d; will-change: transform;" class="circle black"></div><div class="circle white"></div></div></div></div></section><div data-w-id="45836b1b-a122-ae68-60b9-5cdb2d8c084c" style="display:none" class="sections"><section data-w-id="c49cf20b-43b5-8883-d88e-45e884f12f5f" class="section-framework"><div class="container-framework"><div class="framework-heading">A collective intelligence protocol that turns models into recurring revenue</div><div class="spirales-position"><div class="spirales-wrap"><div class="spirale-1" style="will-change: transform; transform: translate3d(0px, 0px, 0px) scale3d(1, 1, 1) rotateX(0deg) rotateY(0deg) 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9.069999694824219,18 9.069999694824219,18 C9.069999694824219,18 1.4500000476837158,18 1.4500000476837158,18 C1.4500000476837158,18 1.4500000476837158,18 1.4500000476837158,18z"></path></g></g></svg></div></div><div class="framework-about"><div class="framework-item"><img src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66683623115f28b1e2ac73b5_icon-up.png" loading="lazy" alt="" class="framework-icon" style="opacity: 0;"><div class="framework-item-wrap" style="transform: translate3d(-52px, 0px, 0px) scale3d(1, 1, 1) rotateX(0deg) rotateY(0deg) rotateZ(0deg) skew(0deg, 0deg); transform-style: preserve-3d;"><div class="framework-tittle">New data uploaded every week</div></div></div><div class="framework-item"><img src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66683623115f28b1e2ac73b5_icon-up.png" loading="lazy" alt="" class="framework-icon" style="opacity: 0;"><div class="framework-item-wrap" style="transform: translate3d(-52px, 0px, 0px) scale3d(1, 1, 1) rotateX(0deg) rotateY(0deg) rotateZ(0deg) skew(0deg, 0deg); transform-style: preserve-3d;"><div class="framework-tittle">Connect your models to several use cases in parallel</div></div></div><div class="framework-item"><img src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66683623115f28b1e2ac73b5_icon-up.png" loading="lazy" alt="" class="framework-icon" style="opacity: 0;"><div class="framework-item-wrap" style="transform: translate3d(-52px, 0px, 0px) scale3d(1, 1, 1) rotateX(0deg) rotateY(0deg) rotateZ(0deg) skew(0deg, 0deg); transform-style: preserve-3d;"><div class="framework-tittle">Don't bother managing and scaling your infra and compute</div></div></div><div class="framework-item"><img src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66683623115f28b1e2ac73b5_icon-up.png" loading="lazy" alt="" class="framework-icon" style="opacity: 0;"><div class="framework-item-wrap" style="transform: translate3d(-52px, 0px, 0px) scale3d(1, 1, 1) rotateX(0deg) rotateY(0deg) rotateZ(0deg) skew(0deg, 0deg); transform-style: preserve-3d;"><div class="framework-tittle">Create new revenue streams by testing your code on new problems</div></div></div><div class="framework-item"><img src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66683623115f28b1e2ac73b5_icon-up.png" loading="lazy" alt="" class="framework-icon" style="opacity: 0;"><div class="framework-item-wrap" style="transform: translate3d(-52px, 0px, 0px) scale3d(1, 1, 1) rotateX(0deg) rotateY(0deg) rotateZ(0deg) skew(0deg, 0deg); transform-style: preserve-3d;"><div class="framework-tittle">Forget about your Labs and 9 to 5 jobs</div></div></div><div class="framework-item"><img src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66683623115f28b1e2ac73b5_icon-up.png" loading="lazy" alt="" class="framework-icon" style="opacity: 0;"><div class="framework-item-wrap" style="transform: translate3d(-52px, 0px, 0px) scale3d(1, 1, 1) rotateX(0deg) rotateY(0deg) rotateZ(0deg) skew(0deg, 0deg); transform-style: preserve-3d;"><div class="framework-tittle">Spend more time at the park with your dog</div></div></div><div class="framework-about-cta"><a href="https://hub.crunchdao.com/auth/register" class="framework-button w-inline-block"><div>Get Started</div></a></div></div></div><div class="framework-shadow"></div></section><section data-w-id="37ae1947-025e-1caf-6188-e82e38e849e1" class="section-git"><div class="container-git"><div class="git-left"><div class="git-header"><div class="git-tittle">Monetizing your models <br>is as simple as</div><div class="git-heading">a Git Push</div></div><img src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6672d88cc6e4b9d4288e83e1_keyb.png" loading="eager" sizes="(max-width: 767px) 85vw, (max-width: 991px) 480px, 559px" srcset="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6672d88cc6e4b9d4288e83e1_keyb-p-500.png 500w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6672d88cc6e4b9d4288e83e1_keyb-p-800.png 800w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6672d88cc6e4b9d4288e83e1_keyb.png 1118w" alt="" class="git-keyboard"><a href="https://hub.crunchdao.com/auth/register" class="enter-button w-inline-block"></a></div><div class="console"><div class="console-header"><div class="console-header-circle"></div><div class="console-header-circle"></div><div class="console-header-circle"></div><div class="console-header-title">Launching Crunch...</div></div><div id="git-code" class="console-content"><p class="code-line" data-full-text="learning_rate=0.1," style="visibility: visible;">learning_rate=0.1,</p><p class="code-line" data-full-text="n_estimators=2," style="visibility: visible;">n_estimators=2,</p><p class="code-line" data-full-text="learning_rate=0.1," style="visibility: visible;">learning_rate=0.1,</p><p class="code-line" data-full-text=" n_jobs=-1," style="visibility: visible;"> n_jobs=-1,</p><p class="code-line" data-full-text="colsample_bytree=0.05" style="visibility: visible;">colsample_bytree=0.05</p><p class="code-line" data-full-text=")" style="visibility: visible;">)</p><div class="code-spacer"></div><p class="code-line" data-full-text="# training the model"></p><p class="code-line" data-full-text="model.fit(X_train.iloc[:,2:], y_train.iloc[:,2:])"></p><div class="code-spacer"></div><p class="code-line" data-full-text="# saving model"></p><p class="code-line" data-full-text="model_pathname = Path(model_directory_path) / &quot;model.joblib&quot;"></p><p class="code-line" data-full-text="print(f&quot;Saving model in {model_pathname}&quot;)"></p><p class="code-line" data-full-text="joblib.dump(model, model_pathname)"></p><div class="code-spacer"></div><p class="code-line" data-full-text="def infer(X_test: pd.DataFrame, model_directory_path: str = &quot;resources&quot;) ->"></p><p class="code-line" data-full-text="pd.DataFrame:"></p><div class="code-spacer"></div><p class="code-line" data-full-text="# loading the model saved by the train function at previous iteration"></p><p class="code-line" data-full-text="model = joblib.load(Path(model_directory_path) / &quot;model.joblib&quot;)"></p><div class="code-spacer"></div><p class="code-line" data-full-text="# creating the predicted label dataframe with correct dates and ids"></p><p class="code-line" data-full-text="y_test_predicted = X_test[[&quot;date&quot;, &quot;id&quot;]].copy()"></p><p class="code-line" data-full-text="y_test_predicted[&quot;value&quot;] = model.predict(X_test.iloc[:, 2:])"></p><div class="code-spacer"></div><div class="code-line-footer"><p class="code-line" data-full-text="return y_test_predicted"></p><p data-w-id="2be70d9c-cdac-f8f8-703d-395cc3b07657" class="code-line last" data-full-text="&nbsp;" style="opacity: 0;"></p></div></div><div class="console-background" style="transform: translate3d(0px, -23.5196%, 0px) scale3d(1, 1, 1) rotateX(0deg) rotateY(0deg) rotateZ(0deg) skew(0deg, 0deg); transform-style: preserve-3d; will-change: transform;"></div><div class="code-embed w-embed w-script"><style>
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    </script></div></div></div></section><section class="section-ai"><div class="container-ai"><div class="ai-header"><div class="ai-heading-wrap"><div class="ai-heading">Seamless AI Integration:</div><img src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6672aa4b46d304b62caf6c10_an3.gif" loading="lazy" alt="" class="ai-heading-decor"></div><div class="ai-heading-title">From data to revenue</div></div><div class="tree"><div class="ai-1"><div class="ai-1-header"><img src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/666805e06c4a4a8826cc74cf_arrow-r.png" loading="lazy" alt="" class="ai-1-icon"><div class="ai-1-title">Business Problem</div></div><div class="ai-1-list"><div class="ai-1-list-item">Dataset 1</div><div class="ai-1-list-item">Dataset 2</div><div class="ai-1-list-item">Dataset 3</div><div class="ai-1-list-item">Dataset 4</div><div class="ai-1-list-item">Dataset 5</div><div class="ai-1-list-item">Dataset N</div></div></div><div class="ai-animation-1" data-w-id="07f82815-23a3-76bb-f7b6-1368f9762f33" data-animation-type="lottie" data-src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6675648af3c04a455a1a8c20_lines%201.json" data-loop="1" data-direction="1" data-autoplay="1" data-is-ix2-target="0" data-renderer="svg" data-default-duration="5.616666666666666" data-duration="0"><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" viewBox="0 0 407 154" width="407" height="154" preserveAspectRatio="xMidYMid meet" style="width: 100%; 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height: 100%; transform: translate3d(0px, 0px, 0px); content-visibility: visible;"><defs><clipPath id="__lottie_element_146"><rect width="161" height="74" x="0" y="0"></rect></clipPath><clipPath id="__lottie_element_148"><path d="M0,0 L190,0 L190,74 L0,74z"></path></clipPath></defs><g clip-path="url(#__lottie_element_146)"><g clip-path="url(#__lottie_element_148)" transform="matrix(1,0,0,1,0,14)" opacity="1" style="display: block;"><g transform="matrix(1,0,0,1,0,0)" opacity="1" style="display: block;"><path fill="rgb(217,217,217)" fill-opacity="0.5" d=" M0,1 C0,1 161,1 161,1 C161,1 161,-1 161,-1 C161,-1 0,-1 0,-1 C0,-1 0,1 0,1 C0,1 0,1 0,1z"></path></g><g transform="matrix(1,0,0,1,0,15)" opacity="1" style="display: block;"><path fill="rgb(217,217,217)" fill-opacity="0.5" d=" M0,1 C0,1 161,1 161,1 C161,1 161,-1 161,-1 C161,-1 0,-1 0,-1 C0,-1 0,1 0,1 C0,1 0,1 0,1z"></path></g><g transform="matrix(1,0,0,1,0,31)" opacity="1" style="display: block;"><path fill="rgb(217,217,217)" fill-opacity="0.5" d=" M0,1 C0,1 161,1 161,1 C161,1 161,-1 161,-1 C161,-1 0,-1 0,-1 C0,-1 0,1 0,1 C0,1 0,1 0,1z"></path></g><g transform="matrix(1,0,0,1,0,47)" opacity="1" style="display: block;"><path fill="rgb(217,217,217)" fill-opacity="0.5" d=" M0,1 C0,1 161,1 161,1 C161,1 161,-1 161,-1 C161,-1 0,-1 0,-1 C0,-1 0,1 0,1 C0,1 0,1 0,1z"></path></g><g transform="matrix(1,0,0,1,165,18)" opacity="1" style="display: block;"><path fill="rgb(217,217,217)" fill-opacity="1" d=" M26,13 C26,20.18000030517578 20.18000030517578,26 13,26 C5.820000171661377,26 0,20.18000030517578 0,13 C0,5.820000171661377 5.820000171661377,0 13,0 C20.18000030517578,0 26,5.820000171661377 26,13 C26,13 26,13 26,13z"></path></g></g></g></svg></div><div class="datascientist"><div class="datascientist-title">Crunchers</div><div class="ds-line"><div class="ds-image right"></div></div><div class="ds-line-right"><div class="ds-image"></div></div><div class="ds-line"><div class="ds-image right"></div></div><div class="ds-line-right"><div class="ds-image"></div></div><div class="ds-line"><div class="ds-image right"></div></div><div class="ds-line-right"><div class="ds-image"></div></div><div class="ds-line"><div class="ds-image right"></div></div><div class="ds-line-right"><div class="ds-image"></div></div><div class="ds-line"><div class="ds-image right"></div></div><div class="ds-line-right"><div class="ds-image"></div></div><div class="ds-line"><div class="ds-image right"></div></div></div><div class="tree-tittle _2nd">ML Ops</div><div class="tree-tittle">best or meta models</div></div><div class="ai-about"><div class="ai-about-text block">Provide your models,</div><div class="ai-about-text">keep ownership, monetize your</div><div class="ai-about-text">machine learning IP.</div><div class="ai-about-spacer"></div><div class="ai-about-text block">The architecture is safe, efficient,</div><div class="ai-about-text">smart and ready to go.</div><div class="ai-about-spacer"></div><div class="ai-about-text block">You focus on science; we handle the MLOps.</div><div class="ai-about-spacer"></div><div class="ai-about-text block">Your code runs, you earn: It's that simple.</div></div></div></section><section data-w-id="57ed19bc-5807-2d9b-43e5-45923a4d0d6b" class="section-locations"><div class="container-locations"><div class="map side"></div><div class="map"><a href="https://www.meetup.com/fr-FR/paris-quant-club/" target="_blank" class="location w-inline-block"><div class="location-content"><div>Le</div><div class="formula paris w-embed"><svg width="100%" height="100%" viewBox="0 0 125 34" fill="none" xmlns="http://www.w3.org/2000/svg">
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</svg></div><div>Quant</div><div>Club</div><div>De&nbsp;</div><div class="text-red">Bengaluru</div></div><div class="location-footer"><div>CHECK&nbsp;NEXT&nbsp;DATES</div><img src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/666ac90263a3b0aba3f0b97a_Group%202783.png" loading="lazy" alt="" class="location-footer-arrow"></div></a><a href="https://www.meetup.com/fr-FR/le-quant-club-de-london/" target="_blank" class="location london w-inline-block"><div class="location-content london"><div>The</div><div class="text-blue">London</div><div>Quant</div><div class="formula london w-embed"><svg width="100%" height="100%" viewBox="0 0 125 34" fill="none" xmlns="http://www.w3.org/2000/svg">
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<path d="M52.9189 16.2281V14.0656H68.9618V16.2281H52.9189ZM52.9189 21.8392V19.6768H68.9618V21.8392H52.9189Z" fill="currentColor"></path>
</svg></div><div>QuantClub</div><div>De</div><div class="text-yellow">Paris</div></div><div class="location-footer"><div>CHECK&nbsp;NEXT&nbsp;DATES</div><img src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/666ac90263a3b0aba3f0b97a_Group%202783.png" loading="lazy" alt="" class="location-footer-arrow"></div></a><div class="locations-content"><div class="locations-content-text">Join our <span class="text-white">Quant&nbsp;Clubs </span>and connect with Crunchers working in quantitative research from all around the world</div></div></div><div class="map side"></div><div class="compass"></div></div></section><section id="livecrunches" class="section-hub"><div class="container-hub"><div class="hub-header"><div class="hub-heading"><div>Crunch</div><img src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6672a9ce2c9a6fef3403f977_an2.gif" loading="lazy" alt="" class="hub-heading-decor"></div><div class="hub-heading-span">=</div><div class="hub-heading _2nd"><div class="text-block-46">Collective<br>Intelligence</div><img src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6672aa4b46d304b62caf6c10_an3.gif" loading="lazy" alt="" class="hub-heading-decor-2"></div></div><div data-current="Tab 1" data-easing="ease" data-duration-in="300" data-duration-out="100" class="container-hub-tabs w-tabs"><div class="hub-tabs w-tab-menu" role="tablist"><a data-w-tab="Tab 1" class="hub-tab w-inline-block w-tab-link w--current" id="w-tabs-0-data-w-tab-0" href="#w-tabs-0-data-w-pane-0" role="tab" aria-controls="w-tabs-0-data-w-pane-0" aria-selected="true"><div class="text-block-47">USE&nbsp;CASE&nbsp;Ω</div></a><a data-w-tab="Tab 3" class="hub-tab w-inline-block w-tab-link" tabindex="-1" id="w-tabs-0-data-w-tab-1" href="#w-tabs-0-data-w-pane-1" role="tab" aria-controls="w-tabs-0-data-w-pane-1" aria-selected="false"><div class="text-block-48">USE&nbsp;CASE&nbsp;σ</div></a><a data-w-tab="Tab 2" class="hub-tab w-inline-block w-tab-link" tabindex="-1" id="w-tabs-0-data-w-tab-2" href="#w-tabs-0-data-w-pane-2" role="tab" aria-controls="w-tabs-0-data-w-pane-2" aria-selected="false"><div class="text-block-49">USE&nbsp;CASE&nbsp;λ</div></a></div><div class="hub-tabs-content w-tab-content"><div data-w-tab="Tab 1" class="w-tab-pane w--tab-active" id="w-tabs-0-data-w-pane-0" role="tabpanel" aria-labelledby="w-tabs-0-data-w-tab-0"><div class="hub-tab-header"><div class="hub-tab-header-title">TOWARDS&nbsp;TRANSPARENT&nbsp;AI:<br>ADIA&nbsp;LAB&nbsp;CAUSAL&nbsp;DISCOVERY</div><a href="https://hub.crunchdao.com/competitions/venture-capital-portfolio-prediction" target="_blank" class="hub-tab-button w-inline-block"><div>CRUNCH →</div></a><img sizes="(max-width: 479px) 100vw, (max-width: 767px) 96vw, (max-width: 1439px) 97vw, 1394px" srcset="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6669e279af23afe41e269cc8_Rectangle%201779-p-500.jpg 500w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6669e279af23afe41e269cc8_Rectangle%201779-p-800.jpg 800w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6669e279af23afe41e269cc8_Rectangle%201779-p-1080.jpg 1080w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6669e279af23afe41e269cc8_Rectangle%201779-p-1600.jpg 1600w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6669e279af23afe41e269cc8_Rectangle%201779-p-2000.jpg 2000w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6669e279af23afe41e269cc8_Rectangle%201779-p-2600.jpg 2600w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6669e279af23afe41e269cc8_Rectangle%201779.jpg 2852w" alt="" src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6669e279af23afe41e269cc8_Rectangle%201779.jpg" loading="lazy" class="hub-tab-background"></div><div class="hub-tab-content"><div class="hub-info"><div class="hub-info-item"><div class="hub-info-tittle">THE NEXT FRONTIER IN&nbsp;AI → CAUSAL&nbsp;AI</div><div style="padding-top:56.17021276595745%" class="w-embed-youtubevideo"><iframe src="https://www.youtube.com/embed/AVBE5HLDUIw?rel=0&amp;controls=1&amp;autoplay=1&amp;mute=1&amp;start=0" frameborder="0" style="position:absolute;left:0;top:0;width:100%;height:100%;pointer-events:auto" allow="autoplay; encrypted-media" allowfullscreen="" title="ADIA Lab Causal Discovery"></iframe></div><p class="hub-info-text">This groundbreaking Crunch has been designed by an exceptional team of renowned experts: 2021 Nobel Laureate in Economics Prof. Guido Imbens, Horst Simon, former Deputy Director of the Berkeley Lab, and Prof. Marcos Lopez de Prado, Global Head of Quantitative R&amp;D at ADIA.<br><br>Uncovering the causal relationships between variables is a crucial step towards making AI systems more transparent and truly intelligent. By discovering the underlying causal structure from observational data, Crunch helps its customers to move beyond mere correlation and enable machines to understand the 'why' behind phenomena. This Crunch expects the community models to unveil the causal directed acyclic graph (DAG) that governs sets of variables, pushing the boundaries of AI's reasoning capabilities. Such advancements are vital across numerous fields, including healthcare, economics, social sciences, and environmental studies.</p></div></div><div class="hub-timeline"><div class="hub-timeline-tittle">Timeline</div><div class="hub-timeline-list"><div class="timeline-item"><div class="timeline-item-decor-done"></div><div class="timeline-item-content"><div class="timeline-item-time">2024-08-01</div><div class="timeline-item-details">Submissions Open</div></div></div><div class="timeline-item"><div class="timeline-item-decor"></div><div class="timeline-item-content"><div class="timeline-item-time">2024-10-24</div><div class="timeline-item-details">Submissions Close</div></div></div><div class="timeline-item"><div class="timeline-item-decor"></div><div class="timeline-item-content"><div class="timeline-item-time">2024-11-15</div><div class="timeline-item-details">Submissions Deadline</div></div></div><div class="timeline-item"><div class="timeline-item-decor"></div><div class="timeline-item-content"><div class="timeline-item-time">♾️</div><div class="timeline-item-details">Continuous Crunch</div></div></div></div></div></div></div><div data-w-tab="Tab 3" class="w-tab-pane" id="w-tabs-0-data-w-pane-1" role="tabpanel" aria-labelledby="w-tabs-0-data-w-tab-1"><div class="hub-tab-header"><div class="hub-tab-header-title">X-ALPHA</div><a href="https://hub.crunchdao.com/competitions/venture-capital-portfolio-prediction" target="_blank" class="hub-tab-button w-inline-block"><div>CRUNCH →</div></a><img sizes="(max-width: 479px) 100vw, (max-width: 767px) 96vw, (max-width: 1439px) 97vw, 1394px" srcset="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6669e279af23afe41e269cc8_Rectangle%201779-p-500.jpg 500w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6669e279af23afe41e269cc8_Rectangle%201779-p-800.jpg 800w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6669e279af23afe41e269cc8_Rectangle%201779-p-1080.jpg 1080w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6669e279af23afe41e269cc8_Rectangle%201779-p-1600.jpg 1600w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6669e279af23afe41e269cc8_Rectangle%201779-p-2000.jpg 2000w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6669e279af23afe41e269cc8_Rectangle%201779-p-2600.jpg 2600w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6669e279af23afe41e269cc8_Rectangle%201779.jpg 2852w" alt="" src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6669e279af23afe41e269cc8_Rectangle%201779.jpg" loading="lazy" class="hub-tab-background"></div><div class="hub-tab-content"><div class="hub-info"><div class="hub-info-item"><div class="hub-info-tittle"><strong>Venture Capital Portfolio Prediction</strong></div><img sizes="100vw" srcset="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66be001fe0112473d41cd3ca_Screenshot%202024-08-15%20at%2015.17.37-p-500.png 500w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66be001fe0112473d41cd3ca_Screenshot%202024-08-15%20at%2015.17.37-p-800.png 800w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66be001fe0112473d41cd3ca_Screenshot%202024-08-15%20at%2015.17.37-p-1080.png 1080w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66be001fe0112473d41cd3ca_Screenshot%202024-08-15%20at%2015.17.37.png 1500w" alt="" src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66be001fe0112473d41cd3ca_Screenshot%202024-08-15%20at%2015.17.37.png" loading="lazy"><p class="hub-info-text">X&nbsp;Alpha deploys capital in early and mid-stage disruptive companies across the US and western Europe.<br><br>For the first time ever, a leading industry expert with a 15-year proven track record collaborates with a Community of more than 5,000 data scientists and 600 PhDs. This first of a kind partnership aims to create a groundbreaking AI-driven prototype for venture capital.<br><br>VC firms often make investment decisions based on insufficient information and heavily depend on human intuition and biased decision-making. <br><br>The CrunchDAO Machine Learning Community will identify trends, relationships and hidden patterns leading to replicable, reproducible and unbiased Alpha-generating process for Venture Capital.</p></div></div><div class="hub-timeline"><div class="hub-timeline-tittle">Timeline</div><div class="hub-timeline-list"><div class="timeline-item"><div class="timeline-item-decor-done"></div><div class="timeline-item-content"><div class="timeline-item-time">2023-12-07<br>Enrollment</div></div></div><div class="timeline-item"><div class="timeline-item-decor-done"></div><div class="timeline-item-content"><div class="timeline-item-time">2023-12-08<br><strong>Rally Start &amp; Submissions Open!</strong></div></div></div><div class="timeline-item"><div class="timeline-item-decor-done"></div><div class="timeline-item-content"><div class="timeline-item-time">2024-01-08<br><strong>Submission Deadline</strong></div></div></div><div class="timeline-item"><div class="timeline-item-decor-done"></div><div class="timeline-item-content"><div class="timeline-item-time">2024-01-09<br><strong>Out-Of-Sample begins</strong></div></div></div><div class="timeline-item"><div class="timeline-item-decor-done"></div><div class="timeline-item-content"><div class="timeline-item-time">2024-01-12<br>‍<strong>Out-Of-Sample Scoring</strong></div></div></div><div class="timeline-item"><div class="timeline-item-decor"></div><div class="timeline-item-content"><div class="timeline-item-time">♾️<br>Continuous Crunch</div></div></div></div></div></div></div><div data-w-tab="Tab 2" class="w-tab-pane" id="w-tabs-0-data-w-pane-2" role="tabpanel" aria-labelledby="w-tabs-0-data-w-tab-2"><div class="hub-tab-header"><div class="hub-tab-header-title">DATACRUNCH</div><a href="https://hub.crunchdao.com/competitions/datacrunch-rally" class="hub-tab-button w-inline-block"><div>CRUNCH&nbsp;→</div></a><img sizes="(max-width: 479px) 100vw, (max-width: 767px) 96vw, (max-width: 1439px) 97vw, 1394px" srcset="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6669e279af23afe41e269cc8_Rectangle%201779-p-500.jpg 500w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6669e279af23afe41e269cc8_Rectangle%201779-p-800.jpg 800w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6669e279af23afe41e269cc8_Rectangle%201779-p-1080.jpg 1080w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6669e279af23afe41e269cc8_Rectangle%201779-p-1600.jpg 1600w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6669e279af23afe41e269cc8_Rectangle%201779-p-2000.jpg 2000w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6669e279af23afe41e269cc8_Rectangle%201779-p-2600.jpg 2600w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6669e279af23afe41e269cc8_Rectangle%201779.jpg 2852w" alt="" src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6669e279af23afe41e269cc8_Rectangle%201779.jpg" loading="lazy" class="hub-tab-background"></div><div class="hub-tab-content"><div class="hub-info"><div class="hub-info-item"><div class="hub-info-tittle"><strong>DataCrunch Equity Market Neutral</strong></div><img sizes="100vw" srcset="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66be01fc4730b1b45ab9cfdb_Screenshot%202024-08-15%20at%2015.21.39-p-500.png 500w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66be01fc4730b1b45ab9cfdb_Screenshot%202024-08-15%20at%2015.21.39-p-800.png 800w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66be01fc4730b1b45ab9cfdb_Screenshot%202024-08-15%20at%2015.21.39-p-1080.png 1080w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66be01fc4730b1b45ab9cfdb_Screenshot%202024-08-15%20at%2015.21.39-p-1600.png 1600w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66be01fc4730b1b45ab9cfdb_Screenshot%202024-08-15%20at%2015.21.39-p-2000.png 2000w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66be01fc4730b1b45ab9cfdb_Screenshot%202024-08-15%20at%2015.21.39-p-2600.png 2600w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66be01fc4730b1b45ab9cfdb_Screenshot%202024-08-15%20at%2015.21.39.png 2960w" alt="" src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66be01fc4730b1b45ab9cfdb_Screenshot%202024-08-15%20at%2015.21.39.png" loading="lazy"><p class="hub-info-text">DataCrunch leverages CrunchDAO's quantitative research to manage its systematic market-neutral portfolio. The proprietary dataset encompasses thousands of publicly traded U.S. companies, providing a comprehensive view of the market landscape.<br>‍<br>To achieve this, DataCrunch requires the community to build algorithms that can predict the relative performance of assets within an investment universe. Specifically, the community models should precisely rank the constituents of this very universe. <br>‍<br>Successful models are expected to demonstrate consistent performance, out-of-sample, offering valuable insights that can be integrated into any systematic investment process. <br></p></div></div><div class="hub-timeline"><div class="hub-timeline-tittle">Timeline</div><div class="hub-timeline-list"><div class="timeline-item"><div class="timeline-item-decor-done"></div><div class="timeline-item-content"><div class="timeline-item-time">2024-06-25</div><div class="timeline-item-details">Submission&nbsp;Open</div></div></div><div class="timeline-item"><div class="timeline-item-decor-done"></div><div class="timeline-item-content"><div class="timeline-item-time">♾️</div><div class="timeline-item-details">Continuous Crunch</div></div></div></div></div></div></div></div></div></div><div class="running"><div class="running-line">+6000 DATA SCIENTISTS&nbsp;&nbsp;- &nbsp;$100,000 AVG PAYOUT PER HUB&nbsp;&nbsp;-&nbsp;&nbsp;3,400 DATA SCIENTISTS REWARDED SO FAR&nbsp;&nbsp;-&nbsp;&nbsp;3 AVG NUMBER OF HUB PER DATA SCIENTIST</div><div class="running-line">+6000 DATA SCIENTISTS&nbsp;&nbsp;- &nbsp;$100,000 AVG PAYOUT PER HUB&nbsp;&nbsp;-&nbsp;&nbsp;3,400 DATA SCIENTISTS REWARDED SO FAR&nbsp;&nbsp;-&nbsp;&nbsp;3 AVG NUMBER OF HUB PER DATA SCIENTIST</div><div class="running-line">+6000 DATA SCIENTISTS&nbsp;&nbsp;- &nbsp;$100,000 AVG PAYOUT PER HUB&nbsp;&nbsp;-&nbsp;&nbsp;3,400 DATA SCIENTISTS REWARDED SO FAR&nbsp;&nbsp;-&nbsp;&nbsp;3 AVG NUMBER OF HUB PER DATA SCIENTIST</div><div class="running-line-fixed">$100,000 AVG PAYOUT PER Crunch</div></div><div class="running-right"><div class="running-line">$100,000 AVG PAYOUT PER HUB&nbsp;&nbsp;+6000 DATA SCIENTISTS&nbsp;&nbsp;-&nbsp;&nbsp;3,400 DATA SCIENTISTS REWARDED SO FAR&nbsp;&nbsp;-&nbsp;&nbsp;3 AVG NUMBER OF HUB PER DATA SCIENTIST&nbsp;&nbsp;-&nbsp;&nbsp;</div><div class="running-line">$100,000 AVG PAYOUT PER HUB&nbsp;&nbsp;+6000 DATA SCIENTISTS&nbsp;&nbsp;-&nbsp;&nbsp;3,400 DATA SCIENTISTS REWARDED SO FAR&nbsp;&nbsp;-&nbsp;&nbsp;3 AVG NUMBER OF HUB PER DATA SCIENTIST&nbsp;&nbsp;-&nbsp;&nbsp;</div><div class="running-line">$100,000 AVG PAYOUT PER HUB&nbsp;&nbsp;+6000 DATA SCIENTISTS&nbsp;&nbsp;-&nbsp;&nbsp;3,400 DATA SCIENTISTS REWARDED SO FAR&nbsp;&nbsp;-&nbsp;&nbsp;3 AVG NUMBER OF HUB PER DATA SCIENTIST&nbsp;&nbsp;-&nbsp;&nbsp;</div><div class="running-line-fixed _2nd">3,400 DATA SCIENTISTS REWARDED SO FAR</div></div><div class="running"><div class="running-line">$100,000 AVG PAYOUT PER HUB&nbsp;&nbsp;+6000 DATA SCIENTISTS&nbsp;&nbsp;-&nbsp;&nbsp;3,400 DATA SCIENTISTS REWARDED SO FAR&nbsp;&nbsp;-&nbsp;&nbsp;3 AVG NUMBER OF HUB PER DATA SCIENTIST&nbsp;&nbsp;-&nbsp;&nbsp;</div><div class="running-line">$100,000 AVG PAYOUT PER HUB&nbsp;&nbsp;+6000 DATA SCIENTISTS&nbsp;&nbsp;-&nbsp;&nbsp;3,400 DATA SCIENTISTS REWARDED SO FAR&nbsp;&nbsp;-&nbsp;&nbsp;3 AVG NUMBER OF HUB PER DATA SCIENTIST&nbsp;&nbsp;-&nbsp;&nbsp;</div><div class="running-line">$100,000 AVG PAYOUT PER HUB&nbsp;&nbsp;+6000 DATA SCIENTISTS&nbsp;&nbsp;-&nbsp;&nbsp;3,400 DATA SCIENTISTS REWARDED SO FAR&nbsp;&nbsp;-&nbsp;&nbsp;3 AVG NUMBER OF HUB PER DATA SCIENTIST&nbsp;&nbsp;-&nbsp;&nbsp;</div><div class="running-line-fixed _3rd">3 AVG NUMBER OF CrunchES PER DATA SCIENTIST</div></div><div class="running-right"><div class="running-line">+6000 DATA SCIENTISTS&nbsp;&nbsp;-&nbsp;&nbsp;$100,000 AVG PAYOUT PER HUB&nbsp;&nbsp;-&nbsp;&nbsp;3,400 DATA SCIENTISTS REWARDED SO FAR&nbsp;&nbsp;-&nbsp;&nbsp;3 AVG NUMBER OF HUB PER DATA SCIENTIST</div><div class="running-line">+6000 DATA SCIENTISTS&nbsp;&nbsp;-&nbsp;&nbsp;$100,000 AVG PAYOUT PER HUB&nbsp;&nbsp;-&nbsp;&nbsp;3,400 DATA SCIENTISTS REWARDED SO FAR&nbsp;&nbsp;-&nbsp;&nbsp;3 AVG NUMBER OF HUB PER DATA SCIENTIST</div><div class="running-line">+6000 DATA SCIENTISTS&nbsp;&nbsp;-&nbsp;&nbsp;$100,000 AVG PAYOUT PER HUB&nbsp;&nbsp;-&nbsp;&nbsp;3,400 DATA SCIENTISTS REWARDED SO FAR&nbsp;&nbsp;-&nbsp;&nbsp;3 AVG NUMBER OF HUB PER DATA SCIENTIST</div><div class="running-line-fixed _4th">+6000 DATA SCIENTISTS</div></div></section><section class="section-crunch"><div class="container-crunch"><div data-poster-url="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0%2F6679b0a3815fe494c04de4be_video-poster-00001.jpg" data-video-urls="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0%2F6679b0a3815fe494c04de4be_video-transcode.mp4,https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0%2F6679b0a3815fe494c04de4be_video-transcode.webm" data-autoplay="true" data-loop="true" data-wf-ignore="true" class="background-video w-background-video w-background-video-atom"><video id="81f05015-2e04-a3d4-5cba-aee981a0ebe2-video" autoplay="" loop="" style="background-image:url(&quot;https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0%2F6679b0a3815fe494c04de4be_video-poster-00001.jpg&quot;)" muted="" playsinline="" data-wf-ignore="true" data-object-fit="cover"><source src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0%2F6679b0a3815fe494c04de4be_video-transcode.mp4" data-wf-ignore="true"><source src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0%2F6679b0a3815fe494c04de4be_video-transcode.webm" data-wf-ignore="true"></video></div><div class="crunch-content"><div class="crunch-text">Contribute one model to multiple Crunches, maximize your impact, and start earning with CrunchDAO.</div><img src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6672aa4b46d304b62caf6c10_an3.gif" loading="lazy" alt="" class="crunch-text-decor"></div><a href="https://hub.crunchdao.com/auth/register" class="crunch-button w-inline-block"><div>Crunch Now</div></a></div><img src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6672a8aedca2ec021f524fa3_cr-an.gif" loading="lazy" alt="" class="crunch-image"></section><section class="section-quotes"><div class="container-quotes"><div id="w-node-b5e64f89-4276-43fc-c3e5-317cc1a7b116-735c66e6" class="cell"></div><div id="w-node-_88bf1063-a64b-3421-9852-7f4917a1f385-735c66e6" class="cell"></div><div id="w-node-_644cb30b-be03-132d-fb3a-ad33e418aced-735c66e6" class="cell"></div><div id="w-node-_41a88d56-720d-6459-a3f0-eb1ac7f01ad6-735c66e6" class="cell"></div><div id="w-node-fe49c30b-2f3b-6dd8-70bf-d5d6efe99b4f-735c66e6" class="cell"></div><div id="w-node-_2a69059d-7937-3e15-44fe-f598c12d1ac6-735c66e6" class="cell"></div><div id="w-node-_161f3e88-6455-1b68-693a-855b979d3641-735c66e6" class="cell"></div><div id="w-node-_8d318d63-1744-0c1b-0cd1-16196b3c0caf-735c66e6" class="cell"></div><div id="w-node-_66a36f1a-7e3d-9313-f838-bc36bd4608cf-735c66e6" class="cell"></div><div id="w-node-cd93b2cd-d38e-455f-bac0-31c5cbb58bc8-735c66e6" class="cell"></div><div id="w-node-af3a383a-8174-025e-441f-29a98f3a14ed-735c66e6" class="cell"></div><div id="w-node-a8aa2b62-e90f-f342-cec2-09d3a811d98d-735c66e6" 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alt="" class="quote-logo-5"></div></div></div><div id="w-node-_2e0855a7-d080-ed90-c28a-3e1454a0c2e8-735c66e6" class="cell"></div><div id="w-node-_409b3281-9e79-f64e-b774-6a59633c5405-735c66e6" class="cell"></div><div id="w-node-_39e0f33f-3584-76e6-a852-b61a4ed64451-735c66e6" class="cell"></div><div id="w-node-d5e62f51-82fc-c944-b2ba-253eaa0adafa-735c66e6" class="cell"><div class="cell-border"><div class="cell-logo"><img src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66be153b903a89cc5ec84494_EWSCw.png" loading="lazy" width="80" sizes="100px" alt="" srcset="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66be153b903a89cc5ec84494_EWSCw-p-500.png 500w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66be153b903a89cc5ec84494_EWSCw-p-800.png 800w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66be153b903a89cc5ec84494_EWSCw-p-1080.png 1080w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66be153b903a89cc5ec84494_EWSCw-p-1600.png 1600w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66be153b903a89cc5ec84494_EWSCw-p-2000.png 2000w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66be153b903a89cc5ec84494_EWSCw-p-2600.png 2600w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66be153b903a89cc5ec84494_EWSCw-p-3200.png 3200w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66be153b903a89cc5ec84494_EWSCw.png 4067w" class="quote-logo-4"></div></div></div><div id="w-node-cca9e954-ebee-7f94-7381-b3f5aee79d4d-735c66e6" class="cell"></div><div id="w-node-e4f026b9-6199-1264-9be7-28e524801cbd-735c66e6" class="cell"></div><div id="w-node-_86565722-1335-77dd-1a2e-2dc84e27ca4b-735c66e6" class="cell"><div class="cell-quote"><p class="cell-quote-text">"I'm very excited to see what the participants are going to come up with, because if they come up with useful things, that's going to be very impactful"</p><div class="new-quote"><div><span class="text-span-12"><strong>Prof. Guido Imbens<br></strong></span><strong>‍</strong>2021 Nobel Prize in Economics <br>laureate</div></div><img src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66bcc9c49f6a6d4b6c4e4360_ProfGuidoImbensColor.png" loading="lazy" sizes="(max-width: 1439px) 128px, (max-width: 1919px) 83.1953125px, 4vw" srcset="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66bcc9c49f6a6d4b6c4e4360_ProfGuidoImbensColor-p-500.png 500w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66bcc9c49f6a6d4b6c4e4360_ProfGuidoImbensColor.png 660w" alt="" class="cell-quote-photo-mldp"></div></div><div id="w-node-b906c958-5dc9-91f9-4cc6-50f549f300b4-735c66e6" class="cell"></div><div id="w-node-_0b7e4bbb-5c58-dd06-29f4-18757c6eceb4-735c66e6" class="cell"></div><div id="w-node-_9db75b16-5a90-d187-e8f2-01127eca4eb7-735c66e6" class="cell"></div><div id="w-node-_48c1225d-da2b-6128-939f-5a2195523632-735c66e6" class="cell"></div><div id="w-node-_87b3fcd9-eb26-14d3-b465-cfcf89a1af43-735c66e6" class="cell"><div class="cell-icon"><img src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/666882390663a0773a43e17f_quote.png" loading="lazy" alt="" class="cell-icon-quote"></div></div><div id="w-node-_4d15a056-0102-5f47-b375-867b0852a7e7-735c66e6" class="cell"></div><div id="w-node-_24b1e80c-1e73-c50b-0ee0-3bc71da17cd6-735c66e6" class="cell"><div class="cell-border"><div class="cell-logo"><img src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6668bc530633cf6dc3a4256a_zama.png" loading="lazy" alt="" class="quote-logo-3"></div></div></div><div id="w-node-bededfa4-b016-9626-6e2c-3a5b2f4319ce-735c66e6" class="cell"></div><div id="w-node-_18997e28-4373-0cba-65ae-1dccf43d921b-735c66e6" class="cell"></div><div id="w-node-_80ac1504-a36f-e06e-edc5-5342f33eaefb-735c66e6" class="cell"></div><div id="w-node-_726913a0-8c66-5c04-c57e-dde21087f0a6-735c66e6" class="cell"></div><div id="w-node-_0cd8ef84-1d1a-13e4-b530-faeb9ebd1201-735c66e6" class="cell"><div class="cell-testimonials"><div class="text-testimonials">Testimonials</div></div></div><div id="w-node-_0613fee4-214b-0e80-55dc-9ed32c61392b-735c66e6" class="cell"></div><div id="w-node-_5556d7b8-4f42-a231-9ad1-82cb0490dc67-735c66e6" class="cell"></div><div id="w-node-_99e90315-f456-5846-3db1-3db7d1e62a35-735c66e6" class="cell"></div><div id="w-node-_29e14b84-6bc8-cf59-a16b-4828b97c252f-735c66e6" class="cell"></div><div id="w-node-_5c980e4a-762f-29bd-756a-55bac03597a9-735c66e6" class="cell"><div class="cell-quote"><p class="cell-quote-text">"Crowdsourcing has a very important role to play in investing. Firms turn investing problems into forecasting problems, then outsource to global researchers"</p><div class="div-block-114"><div><span class="text-span-12"><strong>Prof. Marcos Lopez de Prado<br></strong></span>Global Head of Quantitative R&amp;D at Sovereign Wealth Fund - ADIA</div></div><img src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66bcca18e022c9852fae0046_Marcos.png" loading="lazy" sizes="(max-width: 1439px) 128px, (max-width: 1919px) 83.1953125px, 4vw" srcset="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66bcca18e022c9852fae0046_Marcos-p-500.png 500w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66bcca18e022c9852fae0046_Marcos-p-800.png 800w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66bcca18e022c9852fae0046_Marcos-p-1080.png 1080w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66bcca18e022c9852fae0046_Marcos.png 1332w" alt="" class="cell-quote-photo-mldp"></div></div><div id="w-node-_803d6afb-ef2b-3bba-5442-6bc1f016778a-735c66e6" class="cell"><div class="cell-quote"><p class="cell-quote-text">"Institutional finance hasn’t yet had disruption, but likely will; specifically with respect to the competition for research talent in the years to come"</p><img src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66bcc9a2b5c7753fdf8968bc_JLarkin.png" loading="lazy" alt="" class="cell-quote-photo-mldp"><div class="div-block-114"><div><span class="text-span-12"><strong>Jonathan Larkin<br></strong></span>Managing Director at Columbia <br>Investment</div></div></div></div><div id="w-node-_187fbdfc-7462-6333-3469-66271d818152-735c66e6" class="cell"></div><div id="w-node-c03d30ff-4069-3b7e-27a1-a0bd507926af-735c66e6" class="cell"></div><div id="w-node-_4b7c9c50-ada2-cd02-0360-a6ea6347f6be-735c66e6" class="cell"></div><div id="w-node-_6ca6e845-4db7-6053-d6c4-f6717d32a09e-735c66e6" class="cell"></div><div id="w-node-be3d8e69-8832-a6a5-c9da-b370ee88556d-735c66e6" class="cell"></div><div id="w-node-_65c70fc7-4239-686a-742e-1483d52e57d1-735c66e6" class="cell"></div><div id="w-node-_18912872-513d-155d-c40b-6e7ee142f140-735c66e6" class="cell"></div><div id="w-node-_326166f1-58fd-48c5-32c5-0a7efe3986f4-735c66e6" class="cell"></div><div id="w-node-_9ce8bd73-9e4e-c39d-29ed-2346248fa8a3-735c66e6" class="cell"></div><div id="w-node-_92259c1b-4466-03ee-7d70-51dd59a2bcc1-735c66e6" class="cell"></div><div id="w-node-a904a887-6d8c-c735-7ffc-6fb70e54fb12-735c66e6" class="cell"></div><div id="w-node-_75722cd6-0016-b002-b27b-c97b5e595e72-735c66e6" class="cell"><div class="cell-icon-2"><img src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/666883b6a4ea77d266998377_quote2.png" loading="lazy" alt="" class="cell-icon-quote-2"></div></div><div id="w-node-_223f9d73-d1a9-8c7a-d12c-8c70a1a10f4b-735c66e6" class="cell"></div><div id="w-node-_0decdf2c-5b78-42d9-702c-896d133faf8c-735c66e6" class="cell"></div><div id="w-node-a9c16b85-56f4-9ed1-7019-a4764cd558e3-735c66e6" class="cell"></div><div id="w-node-c7ab6bc2-0de7-23bf-9211-753800feb0b3-735c66e6" class="cell"></div><div id="w-node-e0329713-8803-d98c-e02d-fd3eb7f7b630-735c66e6" class="cell"></div><div id="w-node-d6fb5e91-daa6-5f61-8414-21d3e7b921d7-735c66e6" class="cell"></div><div id="w-node-fdc4930f-8c13-5499-2983-6bc4a7879049-735c66e6" class="cell"><div class="cell-border"><div class="cell-logo"><img src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/6668bc530633cf6dc3a4256a_zama.png" loading="lazy" width="136.5" alt="" class="quote-logo-2"></div></div></div><div id="w-node-f43546d2-8a4a-2ffa-f74a-86b3d9c94430-735c66e6" class="cell"></div><div id="w-node-cc5e77f3-2b68-3cdd-f677-33432b533871-735c66e6" class="cell"></div><div id="w-node-aa608d9f-f8c1-6bec-74af-c81c3dd99208-735c66e6" class="cell"></div><div id="w-node-_3a0ce5da-1005-f960-397e-634836694efb-735c66e6" class="cell"></div><div 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Finance</div><img src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66729992aa9777e6b9cf4bcc_Frame%202810.png" loading="lazy" sizes="(max-width: 479px) 100vw, (max-width: 767px) 95vw, (max-width: 991px) 163.9765625px, 194.96875px" srcset="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66729992aa9777e6b9cf4bcc_Frame%202810-p-500.png 500w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66729992aa9777e6b9cf4bcc_Frame%202810.png 940w" alt="" class="digest-image" style="opacity: 0.7;"><img src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66697424224f6cdeec0b2b0a_Group%202602.png" loading="lazy" alt="" class="digest-arrow" style="transform: translate3d(200%, 0px, 0px) scale3d(1, 1, 1) rotateX(0deg) rotateY(0deg) rotateZ(0deg) skew(0deg, 0deg); transform-style: preserve-3d;"></a></div><div id="w-node-_8d7da41f-200d-1a89-6146-36b55cca03c3-735c66e6"><a href="https://www.youtube.com/watch?v=_KEdAbYKYM8&amp;t=2s" target="_blank" class="digest w-inline-block"><div class="digest-meta"><div class="digest-meta-type">CRUNCH&nbsp;TUTORIAL</div><div class="digest-meta-date">Jean Hérelle &amp;&nbsp;Max Sebti</div></div><div class="digest-heading">Introduction to the ADIA Lab Causal Discovery Challenge</div><img src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/666964137c62e9a8170aacf3_post3.png" loading="lazy" sizes="(max-width: 479px) 100vw, (max-width: 767px) 47vw, 152.8984375px" srcset="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/666964137c62e9a8170aacf3_post3-p-500.png 500w, https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/666964137c62e9a8170aacf3_post3.png 746w" alt="" class="digest-image right" style="opacity: 0.7;"><img src="https://cdn.prod.website-files.com/6667183066b4b3ca735c66e0/66697424224f6cdeec0b2b0a_Group%202602.png" loading="lazy" alt="" class="digest-arrow" style="transform: translate3d(200%, 0px, 0px) scale3d(1, 1, 1) rotateX(0deg) rotateY(0deg) rotateZ(0deg) skew(0deg, 0deg); 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