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index.html
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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8" />
<meta name="generator" content="pandoc" />
<meta http-equiv="X-UA-Compatible" content="IE=EDGE" />
<title>The Johns Hopkins Data Science Lab</title>
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</head>
<body>
<div class="container-fluid main-container">
<div class="navbar navbar-default navbar-fixed-top" role="navigation">
<div class="container">
<div class="navbar-header">
<button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-bs-toggle="collapse" data-target="#navbar" data-bs-target="#navbar">
<span class="icon-bar"></span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
</button>
<a class="navbar-brand" href="index.html">JHU Data Science Lab</a>
</div>
<div id="navbar" class="navbar-collapse collapse">
<ul class="nav navbar-nav">
<li>
<a href="people.html">
<span class="fa fa-users"></span>
People
</a>
</li>
<li>
<a href="projects.html">
<span class="fa fa-bookmark-o"></span>
Projects
</a>
</li>
<li>
<a href="courses.html">
<span class="fa fa-bookmark-o"></span>
Courses
</a>
</li>
<li class="dropdown">
<a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
<span class="fa fa-gear"></span>
Software
<span class="caret"></span>
</a>
<ul class="dropdown-menu" role="menu">
<li>
<a href="package_gallery.html">R Package Gallery</a>
</li>
<li>
<a href="package_contribution.html">Package Contribution Guidelines</a>
</li>
</ul>
</li>
<li class="dropdown">
<a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
<span class="fa fa-podcast"></span>
Outreach
<span class="caret"></span>
</a>
<ul class="dropdown-menu" role="menu">
<li>
<a href="http://simplystatistics.org/">Simply Statistics</a>
</li>
<li>
<a href="http://nssdeviations.com/">Not So Standard Deviations</a>
</li>
<li>
<a href="http://effortreport.libsyn.com/">The Effort Report</a>
</li>
<li>
<a href="https://soundcloud.com/the-corresponding-author">The Corresponding Author</a>
</li>
<li>
<a href="puppets.html">Data Science Puppets</a>
</li>
<li>
<a href="books.html">Books</a>
</li>
</ul>
</li>
<li>
<a href="employment.html">
<span class="fa fa-rocket"></span>
Employment
</a>
</li>
<li>
<a href="tutorials.html">
<span class="fa fa-chalkboard"></span>
Resources/Tutorials
</a>
</li>
</ul>
<ul class="nav navbar-nav navbar-right">
</ul>
</div><!--/.nav-collapse -->
</div><!--/.container -->
</div><!--/.navbar -->
<div id="header">
<h1 class="title toc-ignore">The Johns Hopkins Data Science Lab</h1>
</div>
<p><img src="images/dasl.png" id="overview-image" width=250 height=250 align="right"/></p>
<p>The Johns Hopkins Data Science Lab (DaSL) is a group based in the
Johns Hopkins Bloomberg School of Public Health whose mission is to
enhance data science thinking everywhere and make data science
accessible to the entire world. Data science is a fundamental way of
thinking in many areas of science, business, and government. We believe
all people should be able to develop literacy, fluency and skill in data
science so they can make sense of the data they encounter in their
personal and professional lives. We recognize data science as a
fundamentally human activity and focus our activities on helping people
build data analyses for people.</p>
<p>Our goal is to</p>
<ul>
<li>Teach people how to design, collect, interpret, and interact with
data</li>
<li>Build a supportive environment for the people at Johns Hopkins who
creatively use data to answer questions</li>
<li>Provide leadership on how people doing data science should be
supported at Johns Hopkins and in academia, industry, and
government</li>
<li>Build resources and products that help people learn and do data
science</li>
<li>Conduct research into the theory and practice of data science</li>
</ul>
<p>We have previously built massive online open courses in data science
that have enrolled more than 8 million people around the world,
published best selling books, widely-subscribed blogs, developed
podcasts on data science, statistics, and academia, and have developed a
software platform for interactive learning of statistics in R. We make
our impact by combining cutting edge research in machine learning,
artificial intelligence and statistics with a deep understanding of
applications and an eye toward the human behavioral component of data
analysis.</p>
<hr />
</div>
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