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<!DOCTYPE HTML>
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<html>
<head>
<title>BIDS Diversity Event</title>
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<h1>Fostering diverse & inclusive<br/> data science at Berkeley</h1>
<h2>An event series for under-represented undergraduate students</h2>
<h3><p>March, 5th, 3.30PM to 8.00PM <br />
Berkeley Institute for Data Science, Berkeley, CA</p></h3>
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<li><a href="#">Home</a></li>
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<li><a href="#">Lecturers</a></li>
<li><a href="#">Schedule</a></li>
<li><a href="#">Live Stream</a></li>
<li><a href="#">Code of Conduct</a></li>
<li><a href="#">Travel</a></li>
<li><a href="#">Organizers</a></li>
<li><a href="#">Sponsors</a></li>
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<h2> Join us for a 3 half-days celebration of diversity in data science </h2>
<br />
<h3><a
href="https://www.eventbrite.com/e/data-intensive-research-a-workshopdinner-for-underrepresented-undergrads-tickets-57057283872">
<strong>Register here </strong>
</a>
</h3>
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<!-- Feature 1 -->
<article id="first" class="container box style1 right">
<a href="#" class="image fit"><img src="images/data8-1crop.jpg" alt="A scientist explaining on a white board to a group of workshop participants sitting on chairs or the floor, with laptops." /></a>
<div class="inner">
<header>
<h3>An event for underrepresented undergraduate students in Data
Science</h3>
</header>
<p>Connect underrepresented students with:
role models and mentors working in data science,
other underrepresented students to share their experiences with,
methods to better handle failures and setbacks,
tools to identify and proactively address non-inclusive behavior,
approaches to survive in non-inclusive environments
<p>
<p>
For registration, see <a
href="https://www.eventbrite.com/e/what-you-can-do-with-data-science-tickets-55721073230">here</a>
</p>
</div>
</article>
<!-- Feature 2 -->
<article class="container box style1 left">
<a href="#" class="image fit"><img src="images/unconference-crop.jpg" alt="Two scientists both looking at a laptop displaying computer code and a scientific graph showing scattered points, with one scientist pointing at the graph." /></a>
<div class="inner">
<header>
<h3>DIDS, an unconference</h3>
</header>
<p> The event will include a mix of presentations, round table
discussions, and plenty of opportunities for networking. </p>
<p>Speakers will
range from UC Berkeley internal specialist as well as external leading data
scientists and experts on diversity, inclusion, and bias
elimination.</p>
</div>
</article>
<article class="container box style3">
<section>
<div class="table-wrapper">
<h2>Events</h2>
<font size="4">
<table>
<!-- <thead>
<tr>
<th>ID</th>
<th>Name</th>
<th>Description</th>
<th>Price</th>
</tr>
</thead> -->
<tbody>
<tr>
<td>First event - February, 10th - 3.30PM to 8.00PM</td>
<td>Navigating the Data Science Community</td>
<td></td>
</tr>
<tr class="style1">
<td>Second event - March, 5th - 3.30 to 8.00PM</td>
<td>Data-intensive research</td>
<td> <a
href="https://www.eventbrite.com/e/data-intensive-research-a-workshopdinner-for-underrepresented-undergrads-tickets-57057283872">Register here</a></td>
</tr>
<tr>
<td>Third event - April, 8th - 3.30 to 8.00PM</td>
<td>Beyond academic data science</td>
<td> <a
href="https://www.eventbrite.com/e/beyond-academic-data-science-an-event-for-underrepresented-undergrads-tickets-57057493499 ">Register here</a></td>
</tr>
</tbody>
</table>
</font>
</div>
<div>
<p>
For the full schedule, see <a href="https://bids.github.io/DIDS/schedule" target="_blank">here</a>.</p>
<p>
</p></div>
</section>
<section>
<div>
<h3>Code of Conduct</h3>
<p>
During DIDS, we require participants to follow the code of conduct for the
workshop which can be found <a href="code-of-conduct.html"
target="_blank">on our code of conduct page</a>. If you have any questions
about the workshop, you can reach the organizing committee at
<a href="mailto:[email protected]" class="icon
fa-envelope">[email protected]</a>.
</p>
</div>
</section>
</article>
<article class="container box style4">
<section>
</section>
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<section id="banner">
<header>
</header>
</section>
<!-- </article> -->
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<header>
<h3>Organizers</h3>
<p>This year's event is being organized by</p>
</header>
<div class="inner gallery">
<div class="row 0%">
<div class="2u 10u(mobile)">
<a href="images/orianna.png" class="image fit">
<img src="images/orianna.png" alt="" title="Orianna DeMasi" />
</a>
</div>
<div class="2u 10u(mobile)">
<a href="images/stacey.png" class="image fit">
<img src="images/stacey.png" alt="" title="Stacey Dorton" />
</a>
</div>
<div class="2u 10u(mobile)">
<a href="images/stuart.png" class="image fit">
<img src="images/stuart.png" alt="" title="Stuart Geiger" />
</a>
</div>
<div class="2u 10u(mobile)">
<a href="images/yuvi.png" class="image fit">
<img src="images/yuvi.png" alt="" title="Yuvi Panda" />
</a>
</div>
<div class="2u 10u(mobile)">
<a href="images/sara.png" class="image fit">
<img src="images/sara.png" alt="" title="Sara Stoudt" />
</a>
</div>
<div class="2u 10u(mobile)">
<a href="images/marla.jpg" class="image fit">
<img src="images/marla.jpg" alt="" title="Marla Stuart" />
</a>
</div>
<div class="2u 10u(mobile)">
<a href="images/nelle.png" class="image fit">
<img src="images/nelle.png" alt="" title="Nelle Varoquaux" />
</a>
</div>
<div class="2u 10u(mobile)">
<a href="images/andreas.png" class="image fit">
<img src="images/andreas.png" alt="" title="Andreas Zoglauer" />
</a>
</div>
</div>
</div>
<div class="inner gallery">
<div class="row 0%">
</div>
</div>
</article>
<article class="container box style3">
<header>
<h3>Sponsors</h3>
<p>DIDS is a part of the <a href="http://msdse.org" target="_blank">Moore-Sloan Data Science Environments</a> at University of California Berkeley, New York University, and the University of Washington. It is made possible by the following sponsors:
</p>
</header>
<div class="inner gallery">
<div class="row 20%">
<div class="4u 12u(mobile)"><a href="https://www.moore.org" target="_blank"><img src="images/moore.png" alt="logo of the Gordon and Betty Moore Foundation" width="100%"/></a></div>
<div class="4u 12u(mobile)"><a href="https://sloan.org" target="_blank"><img src="images/sloan.png" alt="logo of the Alfred P. Sloan Foundation" width="100%" /></a></div>
<div class="4u 12u(mobile)"><a href="https://bids.berkeley.edu" target="_blank"><img src="images/bids.png" alt="logo of the Berkeley Institute for Data Science" width="100%" /></a></div>
</div>
</div>
<div>
<p align="center" >
<a href="sponsor.html">Apply to sponsor!</a></div>
</p>
</article>
<article class="container box style4">
<section>
</section>
</article>
<article class="container box style3">
<section id="announcement">
<header>
<h3>Announcement</h3>
<p align="left">
Due to the interactive nature of the workshop and our space constraints, we
expect to cap attendance to between 50 and 250 people.
</p>
<p align="left">
Data science and data science education are quickly emerging as one of the key foundations of our modern data-driven society and are one of the key enablers of future innovations. Reaching out to and encouraging all members of our society to participate equally broadens our technological as well as our societal progress by reducing the boundaries within our society and by strengthening its overall integration. Achieving and maintaining diversity is a long-term commitment, which has to start in kindergarten, reach through high school, and ultimately culminate at the universities and companies which drive our innovation. Keeping this diversity strong through all different educational stages is an uphill battle as peer pressure, entry barriers, and sometimes outright hostile environments erode diversity.
</p>
<p align="left">
Different individuals face different challenges at each step of their path to a career in data science, but for underrepresented students navigating these challenges can be especially difficult. In order to achieve our main goal, increasing the diversity and inclusivity in data science at UC Berkeley, we need to prepare our students with the right tools and knowledge to better manage these challenges. In addition, the best way to first attract and then retain students from diverse backgrounds and perspectives is to encourage and empower them to pursue their interests in data science as soon as possible, at the freshman and sophomore undergraduate stage. To achieve our goals, we will connect underrepresented students with:
<ul>
<li>Role models and mentors working in data science</li>
<li>Other underrepresented students to share their experiences with</li>
<li>Methods to better handle failures & setbacks</li>
<li>Tools to identify and proactively address non-inclusive behavior</li>
<li>Approaches to survive in non-inclusive environments</li>
</ul>
In addition, we aim to educate our students on how they can create an inclusive work atmosphere at their future workplace, and diminish any entry barriers due to ethnicity, gender, religion, sexuality, disability, etc.
</p>
<p align="left">
For more information, please see our website at <a href="http://bids.github.io/DIDS" target=_blank>http://bids.github.io/DIDS</a>.
</p>
<p align="left">
We hope to see you in Berkeley in February!
</p>
<p align="left">
Sincerely, the Diversity and Inclusion Working Group:
</p>
<p>
Orianna DeMasi, <br>
Stacey Dorton, <br>
Stuart Geiger, <br>
Yuvi Panda, <br>
Sara Stoudt, <br>
Marla Stuart, <br>
Nelle Varoquaux, <br>
Andreas Zoglauer
</p>
<p>
<!-- <a href="mailto:[email protected]">[email protected]</a>-->
</p>
</header>
</section>
</article>
<article class="container box style4">
<section>
</section>
</article>
<section id="banner">
<header>
<h3>Application</h3>
<!-- <p> Please click <a href="https://docs.google.com/forms/d/e/1FAIpQLScg5T3mQOLt0f85-NM9_7DAWfJYT-VH6aNNGBh76qokH1Ampw/viewform?usp=sf_link">here</a> to apply. </p>-->
<p>
For registration, see <a
href="https://www.eventbrite.com/e/what-you-can-do-with-data-science-tickets-55721073230">here</a>
</p>
</header>
</section>
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<li><a href="mailto:[email protected]" class="icon fa-envelope"><span class="label">E-mail</span></a></li>
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class="icon fa-twitter"
target="_blank"><span
class="label">Twitter</span></a></li>
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