Each year, the Conference on Statistical Practice offers the following three awards to help pay for registration.
John J. Bartko Scholarship Award - Applications due December 2
The John J. Bartko Scholarship Award, made possible through an endowment from John J. Bartko, provides funds for conference registration and one course. Applicants must be US citizens who are in at least the second year of a master’s degree program in statistics or biostatistics or who have completed such a program within the two years prior to the award date.
Lester R. Curtin Award - Applications due October 15
The Lester R. Curtin Award was established to help promising young health statisticians receive the skills and training they need to make significant contributions in their area of study. The award was created to honor the memory of Lester, or “Randy,” and his long career of working tirelessly to teach and mentor his colleagues at the US Centers for Disease Control and Prevention‘s National Center for Health Statistics. To be eligible for this award, which provides funds for conference registration and one course, applicants must work in the field of health statistics (broadly defined as either applied, including public health policy, or clinical work) or in a graduate program to prepare for such work. Preference will be given to those who have been working in the field for five or fewer years or who are still in graduate school.
Lingzi Lu Memorial Award - Applications due October 15
Created by the ASA in partnership with the International Chinese Statistical Association in remembrance of Lingzi Lu, the first-year student in the statistics master’s program at Boston University who lost her life in the bombing at the Boston Marathon in April of 2013, this award provides funds for conference registration and one course. To be eligible, applicants must be enrolled in a master’s degree program in statistics or biostatistics at the time of application or have completed a master’s degree in statistics or biostatistics no more than two years prior to the time of application.