Monday, December 16, 2024

Application for 2025 UM Big Data Summer Institute Now Open

 Michigan Biostatistics is recruiting undergraduate students who are interested in quantitative studies, big data, and human health to join us this summer for the Big Data Summer Institute. A printable flyer for the program can also be found here.


2025 BIG DATA SUMMER INSTITUTE

JUNE 16 - JULY 25, 2025

Application Now Open! Deadline to apply is March 15, 2025

Are you an undergraduate student with a passion for mathematics, statistics, data science, or related sciences? Do you have coding experience and a desire to apply your skills to real-world health challenges? The University of Michigan's Big Data Summer Institute (BDSI) offers a transformative six-week program designed to immerse you in the dynamic intersection of data science and public health.


Why Choose BDSI?

Interdisciplinary Learning: Engage in daily lectures and programming workshops led by experts in statistics, computing, and health sciences. Topics include statistical analysis, machine learning, epidemiology, and data visualization.


Hands-On Research: Collaborate in faculty-mentored research groups, tackling projects such as cancer data science, genomics and machine learning in healthcare. Develop practical skills in data manipulation, statistical computing, and data visualization.


Professional Development: Enhance your scientific communication abilities through poster and oral presentations. Participate in professional development and networking opportunities to prepare for graduate school and beyond. 


Work Hard, Play Hard: Join a diverse cohort of motivated undergraduates from various academic backgrounds from around the country and world, bonding over collaborative research and social activities.


Eligibility Criteria

Academic Standing: All undergraduate students are encouraged to apply, with a priority for rising juniors and seniors.


Relevant Background: We recommend prior coursework in mathematics and/or statistics with some coding experience.


Passion for Health: A strong interest in applying quantitative skills to improve human health is essential.


Program Benefits

Comprehensive Support: Receive a $2,000 stipend, up to $500 in travel reimbursements, $200 in Blue Bucks for on-campus dining, and single-occupancy, on-campus housing.


Inclusive Environment: Join a diverse cohort of motivated undergraduates from various academic backgrounds, fostering a collaborative and inclusive learning atmosphere


We think the Big Data Summer Institute is an exceptional experience. But don't just take our word for it. Here's what past participants have to say about their experience.

ARE YOU READY TO TURN DATA INTO ACTION?

APPLY FOR BDSI TODAY!

www.BigDataSummerInstitute.com



Monday, December 9, 2024

Apply for the Big Data Summer Immersion at Yale. Application Opens on Dec 15, 2024



Dear Colleague,


You are receiving this email as someone who may work or interact with undergraduate students who have interests and talents in mathematics/statistics, biomedical/health sciences, and/or data science. These students may be well suited for Summer Institute in Biostatistics (SIBS) Programs, which we hope to bring to their attention. As a new SIBS site at Yale University, we are excited to introduce Big Data Summer Immersion at Yale (BDSY)Applications for the BDSY program open on Dec 15, 2024. 


We would be grateful if you could share this email with undergraduate-level students who might be interested in this opportunity. Please feel free to share this PDF flier.


Thank you! 


Sincerely,

Big Data Summer Immersion at Yale Program Team


What is the Summer Institute in Biostatistics and Data Science program?


The Summer Institute in Biostatistics (SIBS) and Data Science is sponsored jointly by the National Heart, Lung, and Blood Institute (NHLBI) and the National Institute of Allergy and Infectious Diseases (NIAID).


The comprehensive six to seven week summer training course on biostatistics and principles of data science combines classroom learning with career mentoring and hands-on data analysis using data collected from clinical studies in prevention and treatment of infectious, immune-mediated, and chronic diseases.


Designed to address a growing imbalance between the demand and supply for biostatisticians and data scientists, the course targets undergraduates and beginning graduate students who are interested in learning about biostatistics, and encourages them to consider graduate programs related to biostatistics and data science.


The typical curricula include an intensive introduction to biostatistical approaches and research by exposing participants to the principles, methodologies, uses, and applications of statistical methods in biomedical and clinical research.

What is special about the Big Data Summer Immersion at Yale?


After ten outstandingly successful years at the University of Michigan, the SIBS program is launching at the Yale School of Public Health. Yale University, with its rich landscape of teaching, research and practice in data science and health, provides a perfect setting to launch this program in the summer of 2025. The students will stay in the beautiful residential colleges at Yale University campus.


Undergraduate trainees joining this six-week immersion program will go through preparatory bootcamp in R, Python and Statistical learning in the first two weeks. Each morning, they will attend didactic lectures by stellar faculty in biostatistics, epidemiology, statistics, computer science, biomedical data science and each afternoon they will work in small groups on mentored research projects, supported by a graduate student and a faculty mentor. The projects will be in the areas of infectious disease modeling, causal inference, and genomics. Public health, medicine, social science and policy researchers will share their perspectives on using data science for improving human health.


Throughout the program, the students will attend professional development workshops and have an opportunity to bond over social events. At the end of six weeks, they will present their research in a concluding symposium through posters and oral presentation. In our morning lectures, we will focus on responsible and ethical use of data science and artificial intelligence in this iteration of the program.



For application details, visit 

sph.yale.edu/bdsy 

Link to BDSY Website


Click below for more details about Summer Institutes in Biostatistics (SIBS)

Link to NIH - SIBS Program

Monday, December 2, 2024

Data Science Bootcamp in DC – Summer 2025

Call for Applications: Data Science Bootcamp in DC – Summer 2025

The Department of Statistics at The George Washington University (GWU) is hosting a four-week Data Science Bootcamp from May 19 to June 13, 2025. Applications are now open to rising sophomores, juniors, and seniors.
Duration: 4 weeks (May 19 - June 13, 2025), including a project showcase on September 6, 2025.
Format: In-person at the GWU campus, with structured workshops, group projects, and guest lectures.
Application Deadline: January 20, 2025. 
Target Enrollment: The program aims to accept 20 students for the bootcamp.
Scholarships: The program offers a $2,000 stipend to each accepted student who completes the full four-week program, funded by an award from the Public Interest Technology (PIT) University Network program of New America. Room and board are not provided.
This immersive program aims to equip undergraduate students with essential data science skills to address pressing health equity and climate resilience issues. The curriculum focuses on building statistical thinking, navigating computing environments, completing hands-on projects with open health and climate data, advancing professional development, and engaging with expert guest lectures.
The program is led by GW faculty, Drs. Tatiyana Apanasovich (lead PI), Huixia Judy Wang (PI), and Fang Jin, in collaboration with Trinity Washington University (Dr. Kerry Luse and Dr. Kaitlin Wellens) and the University of the District of Columbia (Dr. Dong Hyun Jeong).
For program details and application info, visit this website: blogs.gwu.edu/apanasovich/announcement