------------------------------- 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://allspice.cs.swarthmore.edu/cgi-bin/mailman/private/job-opps/attachments/20171113/9f5bb6b7/attachment-0001.html> -------------- next part -------------- A non-text attachment was scrubbed... Name: LUCID-overview.pdf Type: application/pdf Size: 496160 bytes Desc: not available URL: <http://allspice.cs.swarthmore.edu/cgi-bin/mailman/private/job-opps/attachments/20171113/9f5bb6b7/attachment-0001.pdf>