-------------------------------
Tia Newhall
Professor, Computer Science Dept
Swarthmore College
www.cs.swarthmore.edu/~newhall <http:www.cs.swarthmore.edu/%7Enewhall>

610-690-5637

---------- Forwarded message ----------
From: CAITLIN E IVERSON <ceiverson at wisc.edu>
Date: Mon, Nov 13, 2017 at 1:31 PM
Subject: Interdisciplinary Graduate Training Grant Opportunity at UW–Madison
To: "newhall at cs.swarthmore.edu" <newhall at cs.swarthmore.edu>


Dear Dr. Tia Newhall,


Please share this announcement with faculty colleagues and prospective PhD
students at Swarthmore College:

I’m writing to spread the word about an exciting NSF-funded
interdisciplinary graduate training program at UW-Madison, LUCID (Learning,
Understanding, Cognition, Intelligence, and Data Science). We are beginning
recruitment for our 4th year and are especially interested in attracting
talented members of under-represented groups, including women and students
of color, though of course we welcome applications from all interested
potential students. We’ve included a bit more information about the program
below. Please share this information with your colleagues as well as with
the promising undergraduates in your program who might be interested in
applying.

Many thanks!


Our goal at LUCID is to provide graduate students from Engineering,
Computer Science, Psychology and Educational Psychology departments with
hands-on cross disciplinary training and experience working on problems at
the intersection of machine learning, human cognition, and education, and
to prepare trainees for both academic and non-academic career paths.

*What kinds of problems do we work on?* Any problem, in either pure or
applied research, in which people are learning from machines (educational
software, intelligent tutoring, second-language learning, MOOCs, etc.),
machines are learning from people (crowd sourcing, social network analysis,
emotion recognition, natural language processing, etc), or both. The aim is
to train scientists who can advance understanding within each core
discipline by applying information and insights from the others, and who
can bring the central ideas from each field to bear on real-world issues.

*How does the training program work?* Trainees can enter through any of the
core departments and complete all the usual requirements of their
department. The training program enhances this traditional training through
several additional mechanisms that are designed to promote
cross-disciplinary learning without increasing time to degree. In addition
to career training, our graduate students receive full tuition remission, a
competitive stipend and benefits.

*Who would be great candidates?* We are looking for exceptional
undergraduate or master’s students interested in pursuing these type of
questions in their doctoral graduate experience. We believe science
advances best when all minds contribute and all voices are heard. LUCID
seeks minds and voices that have been historically marginalized in STEM
fields, including those of women and members of under-represented minority
groups.

Please see and share the attached pdf for more information about our
program.

Caitlin Iverson
LUCID <http://lucid.wisc.edu/> NSF National Research Traineeship
(NRT) Program Manager
University of Wisconsin–Madison
ceiverson at wisc.edu



------------------------------
*From:* CAITLIN E IVERSON
*Sent:* Monday, November 13, 2017 12:18:42 PM
*To:* btjaden at wellesley.edu
*Subject:* Interdisciplinary Graduate Training Grant Opportunity at
UW–Madison


Dear Dr. Brian Tjaden,


Please share this announcement with faculty colleagues and prospective PhD
students at Amherst College:


I’m writing to spread the word about an exciting NSF-funded
interdisciplinary graduate training program at UW-Madison, LUCID (Learning,
Understanding, Cognition, Intelligence, and Data Science). We are beginning
recruitment for our 4th year and are especially interested in attracting
talented members of under-represented groups, including women and students
of color, though of course we welcome applications from all interested
potential students. We’ve included a bit more information about the program
below. Please share this information with your colleagues as well as with
the promising undergraduates in your program who might be interested in
applying.



Many thanks!




Our goal at LUCID is to provide graduate students from Engineering,
Computer Science, Psychology and Educational Psychology departments with
hands-on cross disciplinary training and experience working on problems at
the intersection of machine learning, human cognition, and education, and
to prepare trainees for both academic and non-academic career paths.



*What kinds of problems do we work on?* Any problem, in either pure or
applied research, in which people are learning from machines (educational
software, intelligent tutoring, second-language learning, MOOCs, etc.),
machines are learning from people (crowd sourcing, social network analysis,
emotion recognition, natural language processing, etc), or both. The aim is
to train scientists who can advance understanding within each core
discipline by applying information and insights from the others, and who
can bring the central ideas from each field to bear on real-world issues.



*How does the training program work?* Trainees can enter through any of the
core departments and complete all the usual requirements of their
department. The training program enhances this traditional training through
several additional mechanisms that are designed to promote
cross-disciplinary learning without increasing time to degree. In addition
to career training, our graduate students receive full tuition remission, a
competitive stipend and benefits.



*Who would be great candidates?* We are looking for exceptional
undergraduate or master’s students interested in pursuing these type of
questions in their doctoral graduate experience. We believe science
advances best when all minds contribute and all voices are heard. LUCID
seeks minds and voices that have been historically marginalized in STEM
fields, including those of women and members of under-represented minority
groups.



Please see and share the attached pdf for more information about our
program.



Caitlin Iverson

LUCID <http://lucid.wisc.edu/> NSF National Research Traineeship
(NRT) Program Manager

University of Wisconsin–Madison

ceiverson at wisc.edu
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