Intimidated by Data? Mac Meets You Where You Are
Handling complex data is essential in almost every field. At Macalester you can successfully learn data science from any starting point.
From Classroom to Lab
As part of the HHMI Young Researchers group, Jonathan Amezquita took to the lab, where he gained valuable research skills and new friends.
Mac Students at ABRCMS
With support of the Macalester-HHMI Science Education Award, four students recently attended the Annual Biomedical Research Conference for Minority Students, two as presenters.
Suicide Prevention Study
At the Minnesota Dept. of Health, Alese Halvorson ’15 contributed her statistical expertise to save lives.
When Majors Collide
Issa Ali ’15 found his computer science skills were highly applicable to biology research.
Death, Devastation & Math
Three years after taking an applied math class, two Mac students have their research published in a peer-reviewed journal.
HHMI Precollege and Undergraduate Science Education Program Award to Macalester
In the fall of 2012, Macalester received a $1.3 million, four-year grant from the Precollege and Undergraduate Science Education Program of the Howard Hughes Medical Institute (HHMI). One of only 47 U.S. small colleges and universities to receive an HHMI award in this round, Macalester is using the funding to promote curricular innovation and to provide local and global research experiences for students.
Macalester's proposal, titled “Transforming Data into Knowledge: Curricular Innovations in the Era of Big Data,” emphasizes the computational skills scientists must develop to access, analyze, and draw dependable conclusions from large and increasingly complex data sets.
Students who begin scientific careers in the coming decades will confront data in multiple formats from multiple sources. They must be able to judge the quality (precision, completeness, and accuracy) of data, comply with evolving practices of use (property, privacy and security, access), and select and execute appropriate computational strategies to analyze the data and convey to others the knowledge derived from it.
To prepare students for such future challenges, Macalester faculty will infuse computational principles and data fundamentals into the science curriculum, encouraging students to take on the challenges of "Big Data." Because data and computation cross disciplinary boundaries, this undertaking is multidisciplinary, involving 17 courses/labs and 24 faculty members from Biology, Chemistry, Environmental Studies, Geography, Geology, Mathematics/Statistics/Computer Science, Neuroscience Studies, Physics, and Psychology.
HHMI Read This
APPLICATIONS to participate in the 2017 Macalester-HHMI Research Initiative will be available in early January 2017. Applications will be accepted through 5:00 PM on February 13, 2017. Guidelines and information.