<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<style type="text/css" style="display:none"><!--P{margin-top:0;margin-bottom:0;} P{margin-top:0;margin-bottom:0;}--></style>
</head>
<body dir="ltr" style="font-size:12pt;color:#000000;background-color:#FFFFFF;font-family:Calibri,Arial,Helvetica,sans-serif;">
<p>Hi all,<br>
</p>
<p><br>
</p>
<p>The NIPS 2017 workshop <em>Machine Learning for the Developing World</em> is now announcing
<strong>best paper awards</strong>, <strong>travel awards</strong>, and even <strong>
workshop registration awards</strong> for those who were not able to register before NIPS sold out! To allow for potential participants to take advantage of this, the
<strong>deadline has been extended</strong>. We would greatly appreciate your help spreading the word, and we are looking forward to your submissions!</p>
<p><br>
</p>
<p>William & Maria<br>
</p>
<p><br>
</p>
<span id="docs-internal-guid-d3399360-2d2e-0ce2-e82b-fb16cc4b82c0">
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; vertical-align:baseline; white-space:pre-wrap">*********************************************************************************</span></p>
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; vertical-align:baseline; white-space:pre-wrap">Workshop on Machine Learning for the Developing World, NIPS 2017</span></p>
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; vertical-align:baseline; white-space:pre-wrap">Date: December 8th, 2017</span></p>
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; vertical-align:baseline; white-space:pre-wrap">Location: Long Beach, California, USA</span></p>
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><a href="https://sites.google.com/site/ml4development/" target="_blank" style=""><span style="font-size:12pt; font-family:Cambria; color:rgb(17,85,204); vertical-align:baseline; white-space:pre-wrap">https://sites.google.com/site/ml4development/</span></a></p>
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; vertical-align:baseline; white-space:pre-wrap">*********************************************************************************</span></p>
<br>
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; font-weight:700; vertical-align:baseline; white-space:pre-wrap"></span></p>
<div>
<p dir="ltr" id="docs-internal-guid-4317097b-2fcb-fef4-70fe-9b5fe7b19bab" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt">
<span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:700; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">Now available:</span></p>
<ul style="margin-top:0pt; margin-bottom:0pt">
<li dir="ltr" style="list-style-type:disc; font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:700; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:700; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">Best
paper awards!</span></p>
</li><li dir="ltr" style="list-style-type:disc; font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:700; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:700; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">Travel
awards! (</span><a href="https://docs.google.com/forms/d/e/1FAIpQLSfsD1GWzVt399LvZTig4xiT0nDie4qDdszFT3Q5av4KgcA8Ug/viewform" target="_blank" style="text-decoration:none"><span style="font-size:12pt; font-family:Cambria; color:#1155cc; background-color:transparent; font-weight:700; font-style:normal; font-variant:normal; text-decoration:underline; vertical-align:baseline">apply
here</span></a><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:700; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">)</span></p>
</li><li dir="ltr" style="list-style-type:disc; font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:700; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:700; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">Workshop
registration awards! (</span><a href="https://docs.google.com/forms/d/e/1FAIpQLSeIg8JJb8NVK5gl6Z1gZ5-QujUQFr1qcJeZ1N5V0vwYC5m8og/viewform" target="_blank" style="text-decoration:none"><span style="font-size:12pt; font-family:Cambria; color:#1155cc; background-color:transparent; font-weight:700; font-style:normal; font-variant:normal; text-decoration:underline; vertical-align:baseline">apply
here</span></a><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:700; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">)</span></p>
</li><li dir="ltr" style="list-style-type:disc; font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:700; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:700; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">Deadline:
October 30</span></p>
</li></ul>
<br>
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:700; font-style:normal; font-variant:normal; text-decoration:underline; vertical-align:baseline">Call
for papers</span><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:700; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">:
</span></p>
<br>
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:400; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">This
one-day workshop is focussed on machine learning for the developing world (ML4D). We will discuss impactful applications of machine learning to address core global development concerns, as well as limitations to ML in developing countries and novel algorithms
inspired by development challenges, such as limited computational capacity.</span></p>
<br>
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:400; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">We
invite researchers to submit their recent work on this topic, including:</span></p>
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:400; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">*
Applications of ML to development issues including health, education, institutional integrity, violence mitigation, economics, societal analysis, and environment.</span></p>
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:400; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">*
Novel ML techniques inspired by limitations in developing countries.</span></p>
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:400; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">*
Limitations and risks of data science and ML for development.</span></p>
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:400; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">*
Practical systems using ML in developing regions.</span></p>
<br>
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:400; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">Please
submit 2-4 page extended abstracts to ml4d.nips@gmail.com, following the </span>
<a href="https://nips.cc/Conferences/2017/PaperInformation/StyleFiles" target="_blank" style="text-decoration:none"><span style="font-size:12pt; font-family:Cambria; color:#1155cc; background-color:transparent; font-weight:400; font-style:normal; font-variant:normal; text-decoration:underline; vertical-align:baseline">NIPS
style</span></a><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:400; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline"> guidelines. Accepted papers will be presented
as posters or contributed talks, and may optionally be published in an arXiv proceedings.</span></p>
<br>
<br>
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:700; font-style:normal; font-variant:normal; text-decoration:underline; vertical-align:baseline">Key
dates:</span></p>
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:400; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">Submission
deadline: October 30, 2017</span></p>
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:400; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">Travel/registration
award deadline: October 30, 2017</span></p>
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:400; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">Acceptance
notification: November 6, 2017</span></p>
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:400; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">Workshop:
December 8, 2017</span></p>
<br>
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; color:#212121; background-color:#ffffff; font-weight:700; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline"></span></p>
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:700; font-style:normal; font-variant:normal; text-decoration:underline; vertical-align:baseline">Speakers</span><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:700; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">:</span></p>
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:400; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">--
Emma Brunskill (Stanford)</span></p>
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:400; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">--
Stefano Ermon (Stanford)</span></p>
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:400; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">--
Daniel Neill (CMU)</span></p>
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:400; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">--
Jake Porway (DataKind)</span></p>
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:400; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">--
Jen Ziemke (International Network of Crisis Mappers)</span></p>
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:400; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">--
Ernest Mwebaze (Makerere University | UN Global Pulse)</span></p>
<br>
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:700; font-style:normal; font-variant:normal; text-decoration:underline; vertical-align:baseline">Workshop
overview</span><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:700; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">:</span></p>
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:400; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">Six
billion people live in developing world countries. The unique development challenges faced by these regions have long been studied by researchers ranging from sociology to statistics and ecology to economics. With the emergence of mature machine learning methods
in the past decades, researchers from many fields - including core machine learning - are increasingly turning to machine learning to study and address challenges in the developing world. This workshop is about delving into the intersection of machine learning
and development research.</span></p>
<br>
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:400; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">Machine
learning present tremendous potential to development research and practice. Supervised methods can provide expert telemedicine decision support in regions with few resources; deep learning techniques can analyze satellite imagery to create novel economic indicators;
NLP algorithms can preserve and translate obscure languages, some of which are only spoken. Yet, there are notable challenges with machine learning in the developing world. Data cleanliness, computational capacity, power availability, and internet accessibility
are more limited than in developed countries. Additionally, the specific applications differ from what many machine learning researchers normally encounter. The confluence of machine learning's immense potential with the practical challenges posed by developing
world settings has inspired a growing body of research at the intersection of machine learning and the developing world.</span></p>
<br>
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:400; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">This
one-day workshop is focussed on machine learning for the developing world, with an emphasis on developing novel methods and technical applications that address core concerns of developing regions. We will consider a wide range of development areas including
health, education, institutional integrity, violence mitigation, economics, societal analysis, and environment. From the machine learning perspective we are open to all methodologies with an emphasis on novel techniques inspired by particular use cases in
the developing world. </span></p>
<br>
<p dir="ltr" style="line-height:1.38; margin-top:0pt; margin-bottom:0pt"><span style="font-size:12pt; font-family:Cambria; color:#000000; background-color:transparent; font-weight:400; font-style:normal; font-variant:normal; text-decoration:none; vertical-align:baseline">Invited
speakers will address particular areas of interest, while poster sessions and a guided panel discussion will encourage interaction between attendees. We wish to review the current approaches to machine learning in the developing world, and inspire new approaches
and paradigms that can lay the groundwork for substantial innovation.</span></p>
</div>
</span>
<p><br>
</p>
<p><br>
</p>
<div id="Signature">
<div style="font-family:Tahoma; font-size:13px">Mar<span style="line-height:18px; background-color:rgb(254,251,243)">ķa De Arteaga </span>
<div>PhD Student in Machine Learning and Public Policy</div>
<div>Carnegie Mellon University</div>
</div>
</div>
</body>
</html>