Data+ is a 10-week summer research experience that welcomes Duke undergraduates interested in exploring new data-driven approaches to interdisciplinary challenges. Students join small project teams, collaborating with other teams in a communal environment. They learn how to marshal, analyze, and visualize data, while gaining broad exposure to the modern world of data science.

ASA DataFest^TM is a data analysis competition where teams of up to five students attack a large, complex, and surprise dataset over a weekend. Your job is to represent your school by finding and communicating insights into these data. The teams that impress the judges will win prizes as well as glory for their school. Everyone will have a great experience, lots of food, and fun!

This mini-class will introduce the student to machine learning methods that have become increasingly useful in practice, specifically deep learning and neural networks. Application areas include image and text analysis. This will not be a traditional class with a priori and regular scheduled class times. Rather, over the course of the semester, students participating in this class will be required to attend at least 5 two-hour in-person learning experiences (IPLEs) provided by the Duke +DS program.

Using computers to generate art promotes deeper understanding of the ways that artificial intelligence (AI) is changing the visual and media-based world around us, and provokes inquiry into the endeavor and humanity behind creativity. In this spirit, +DS is excited to announce the second annual Duke AI for Art Competition.

New Spring 2020 Class Offering Training in AI to All Duke Students: This class will introduce the student to machine learning (ML) and artificial intelligence (AI) methods that have become increasingly useful in practice, specifically deep learning and neural networks. Application areas include image analysis, text analysis, and optimal decision making. This class is directed to any Duke student, independent of major, who is interested in learning the basics of ML and AI.

+DS program team members Matthew Kenney, Ricardo Henao, and Shelley Rusincovitch are project sponsors for the summer 2020 Story+ project "Critical Decisions: Perceptions of AI in Healthcare Management."

Story+ is a 6-week paid summer research experience for Duke students—undergraduates and graduates—interested in exploring humanities research approaches (archival research, oral histories, narrative analysis, visual analysis, and more).

CS+ is a ten week summer program for Duke undergrads to get involved in computer science research projects with faculty in a fast-paced but supportive community environment. Students participate in teams of 3-4 and are jointly mentored by a faculty project lead and a graduate student mentor.

ASA DataFest^TM is a data analysis competition where teams of up to five students attack a large, complex, and surprise dataset over a weekend. Your job is to represent your school by finding and communicating insights into these data. The teams that impress the judges will win prizes as well as glory for their school. Everyone will have a great experience, lots of food, and fun!

ASA DataFest 2020 will take place at Duke over the April 3 - 5 weekend. Sign up by March 19, 2020 at 11:59p!

The Margolis Scholars program is a prestigious program for Duke University students that demonstrate strong interest in and commitment to a career in health policy and management, as well as leadership potential to improve health policy. Named in honor of Robert Margolis, M.D., the founder of Duke-Margolis and a pioneer of innovative integrated care delivery models, the Margolis Scholars program provides promising students with the necessary knowledge, skills, and abilities to be the next generation of health care leaders.

The Duke University Department of Statistical Science and the Duke AI Health Institute are co-sponsoring the ASA Datafest: COVID-19 Virtual Data Challenge. For this contest, student will work in teams to seek out publicly available data sources that enable them to explore the societal impacts of the COVID-19 pandemic other than those directly related to health outcomes. Contest submissions will be due on April 22, 2020.

Muser provides Duke students with regularly-scheduled, clearly articulated, and equitable access to research opportunities across all fields. Muser Round for Summer 2020 projects is now underway. For students, Friday, April 24 at 8:00am is the first day to apply for projects, and Friday, May 1 at 11:59pm is the last day to apply for projects.

The +DS Fall 2020 Virtual Research Program is designed to allow students who have previously completed the +DS curriculum to continue their engagement with substantive applied projects. The +DS Advanced Projects in Health Data Science offer Duke students, both undergraduate and graduate, the opportunity to be a part of research teams applying advanced machine learning (deep learning) to important areas of medicine. The students will work in teams, mentored by leading Duke faculty involved in data science research, with guidance by practicing clinicians.

The Durham Department of Veterans Affairs (VA) is now accepting applications for its Big Data Training Enhancement Program (BD-STEP), a 1-2 year postdoctoral training opportunity offered through the National Cancer Institute (NCI) and the Veterans Health Administration (VHA) to enhance experience while addressing oncology-related research questions relevant to Veterans using the U.S. VA’s extensive real-world clinical oncology data. 

Overview
Data+ is a ten-week summer research experience that welcomes Duke under- graduates interested in exploring new data-driven approaches to interdisciplinary challenges.

Dr. ElMallah’s lab is focused on the control of breathing and pulmonary mechanics in murine models of several genetic diseases, including Pompe disease and Duchenne Muscular Dystrophy. We evaluate the efficacy of adeno-associated viral-mediated gene therapy and neuromodulation to correct the respiratory insufficiency that results from these neuromuscular disorders. Specific functions we test are whole body plethysmography (respiration) and neurophysiology, which measure the muscular and neurological inputs that enable breathing.

It is well-known that the United States incarcerates more people per capita than any other nation.  In addition, inmates in the US are disproportionately drawn from communities of color.  I am undertaking a study that aims to understand the historical political roots of mass incarceration by race in the US, including the way in which the funding of police has contributed.  To do so, I am collecting and analyzing new individual-level data on the race, criminal conviction, sentence length, and geographic location of newly admitted prisoners since the 1950s.  I am looking for students interest

Currently, naturalistic or drug-induced behaviors in mice have to be coded by hand.  The goal of this project is to use SLEAP (https://sleap.ai/) and to score certain behaviors in mice, for which we already have live video recordings.  If successful, we may move to a 3-dimensional AI program.  The project will be overseen by two faculty, one experienced with rodent behavior and the other with writing/using AI programs.  The project can be accomplished virtually.  This can be an individual project.

The URS Remote Winter IDEA Grant is a special grant offered during Winter 2020 Break to promote exploration of a research idea or help defray the costs of an ongoing research project. To be considered for an IDEA grant, students must submit an application no later than December 15, 2020, be enrolled in undergraduate courses for spring 2021, and be able to provide a brief recommendation from staff or faculty affiliated with Duke. It is not necessary for the recommendation to come from a formal mentor within the student’s current major.