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'''Data Science Across the Disciplines'''
 
'''Data Science Across the Disciplines'''
  
Throughout science and engineering fields, the availability of cheap
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It is now well established that there is a critical need for data science researchers who can think creatively to solve problems in interdisciplinary fields such as healthcare, social science, and exercise science. Further, there exists scarcity of workforce and opportunities to train the next generation of researchers to tackle the problems in data science. To address the scarcity, this Data Science Across Disciplines Research Experiences for Undergraduates Site (DSAD-REU) will immerse undergraduate students in an interdisciplinary research-intensive training and mentoring program.  
computer processing power is driving increased interest in large-scale
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and multi-scale problems that were previously thought to be
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intractable or unsolvable through traditional methods.  The rise of
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high-throughput, parallel, and distributed computing technologies has
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created a great need for researchers and practitioners with a deep
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understanding of computer science, mathematical modeling and
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statistical methods who can work across disciplines to build real
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solutions. This can include developing new computational
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methodologies, computer software and/or computer systems, as well as
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new theoretical models.
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Revision as of 19:01, 9 January 2020

Welcome to the Marquette University Data Science REU Wiki

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Summer Research Experience for Undergraduates

Data Science Across the Disciplines

It is now well established that there is a critical need for data science researchers who can think creatively to solve problems in interdisciplinary fields such as healthcare, social science, and exercise science. Further, there exists scarcity of workforce and opportunities to train the next generation of researchers to tackle the problems in data science. To address the scarcity, this Data Science Across Disciplines Research Experiences for Undergraduates Site (DSAD-REU) will immerse undergraduate students in an interdisciplinary research-intensive training and mentoring program.

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At the same time, ever smaller computing platforms have inserted computation into mobile, embedded, and ubiquitous realms of human experience that would have been unthinkable only a few years ago. Energy consumption of both massive computing clusters and battery-operated appliances is of great concern.

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Our mentor research areas lie in all of these areas, as well as in how people learn to work in these fields, and how we prepare the next generation of students to explore computational sciences and mathematics.

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Application Process

Click here to learn about the Application Process.

Projects

Research Areas

Applied Mathematical Modeling:

Bioinformatics and Computational Biology

High Performance Computing and Computational Science:

Embedded, Mobile, and Ubiquitous Systems:

Security:

Data Science:

Mathematics and Computer Science Education:

Projects from Previous Years

Summer 2018 Projects

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Summer 2017 Projects

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Summer 2016 Projects

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Summer 2015 Projects

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Summer 2014 Projects

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Summer 2013 Projects

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Summer 2012 Projects

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Summer 2011 Projects

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Summer 2010 Projects

Summer 2009 Projects

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All inquiries may be routed to the site coordinators, Dr. Praveen Madiraju or Dr. Dennis Brylow.