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Science Communication Day with URBEST

Science Communication Day with URBEST

News Article by Tracey Baas, Executive Director of URBEST

            On Friday March 10, University of Rochester’s Broadening Experiences in Scientific Training (URBEST) brought together seven Science Communicators from University of Rochester, Rochester Institute of Technology, University of Washington, and National Public Radio (NPR). Maddie Sofia, assistant producer at NPR and recent alumna (’16), returned to UR to share her triumphs and tribulations with PhD gradate students and postdocs at the URBEST Career Story. The real fun, however, happened at a morning and afternoon session of Better Science Communication Through Impov.

Adjuncting: Yes You Can

Adjuncting: Yes You Can

News Article by Zachary Murphy, PhD Candidate and "Roving Educator"

                  Those of us that want to be college educators, yet are still in our PhD training, face the problem of experience. As is the case with any job graduate students and post-docs will be applying for, you need experience. The gold standard for experience in order to be a faculty member at a primarily undergraduate institution is teaching in the classroom. Previously I have shared a collaborative approach that I took to achieve experience in the classroom through an American Society of Cell Biology’s program. These types of opportunities, however, can be few in number and hard to find. When looking for teaching at the college level, this commonly leads to the adjunct position. This is working on a semester-by-semester basis to teach one or more courses at a college or university.

A Path to Data Science

A Path to Data Science

News Article by Adam Danz, PhD Candidate

Several recent alumni from the department of Brain and Cognitive Science have gone into the field of data science, which is an increasingly popular alternative to academia for people in our field. It is said that 90% of the world's data has been generated in the past 2 years, and it is a reasonable assumption that the same proportion of the world’s data scientists have entered the field in the same amount of time.  Here’s a summary I put together of the initial steps others have taken in preparation for getting a job in data science following graduation. 

The Spirit of Service in Trainee Scientists at the University of Rochester

The Spirit of Service in Trainee Scientists at the University of Rochester

News Article by Claire McCarthy, PhD Candidate

            Along with a history of advances in biomedical research, scientists at UR have established a legacy of outreach and service. Dr. William F. Neuman was a founder and Chair of the Department of Radiation Biology and Biophysics at UR, which stemmed from his work with the Manhattan Project. He was a world-renowned expert in the musculoskeletal field who made significant contributions into the understanding of bone matrix physiology and hormonal effects on bone structure. However, in addition to his work in orthopedics, Dr. Neuman believed that scientists should serve their communities and be “good people.”

Story of RDSS (The Rochester Data Science Society)

Story of RDSS (The Rochester Data Science Society)

News Article by Shiyang Ma, Adan Z. Becerra, Huiwen Xu, and Zhengyuan Yang

The digital revolution, coupled with the availability of vast data systems, has helped human beings recognize the importance of using data to make informed decisions. This has stimulated the development of data science, an interdisciplinary field that seeks to create tools and systems to collect, process, and analyze modern data warehouses in order to solve real-world problems. That’s why we (Shiyang Ma, 3rd Year PhD Student in Statistics, Huiwen Xu, 3rd Year PhD Student in Health Services Research, Adan Z. Becerra, 5th Year PhD Student in Epidemiology, and Zhengyuan Yang, 1st Year PhD Student in Computer Science) decided to establish the Rochester Data Science Society (RDSS), the first ever student organization at the University of Rochester that serves all students interested in data science, statistics, computer science, engineering, health analytics, economics, or other related fields. Our varying interests and fields of study attest to the multidisciplinary nature of data science as well as its potential to impact the world.