BU Summer Institute for Research Education in Biostatistics and Data Science
Project Number5R25AI166897-03
Contact PI/Project LeaderJENKINS, HELEN E. Other PIs
Awardee OrganizationBOSTON UNIVERSITY MEDICAL CAMPUS
Description
Abstract Text
ABSTRACT
Boston University (BU) proposes a comprehensive program entitled the `Boston University Summer Institute for
Research Education in Biostatistics and Data Science' (BU SIBS) that includes biostatistical analysis,
epidemiology, infectious disease modeling, design and analysis of clinical trials, statistical genomics, and
statistical computing within a data science framework. The structure includes online modules preceding a five-
week in-residence program followed by additional remote work on a mentored group research project. The
rigorous curriculum is interspersed with current examples highlighting the relevance of biostatistics with particular
emphasis on biomedical big data, machine learning approaches, and high performance computing. BU SIBS is
designed to interest and engage a diverse group undergraduates, recent graduates and early graduate students
from across the US. Our faculty is enthusiastic and committed, as are our guest speakers who are practicing
data scientists, biostatisticians, epidemiologists, and physician-scientists from academia and industry. Hands-
on analyses with teaching data sets from the National Heart, Lung, and Blood Institute's (NHLBI) Framingham
Heart Study and Jackson Heart Study, along with relevant COVID-19 and tuberculosis examples, reinforce skills
in computing, data visualization, statistical and computational modeling, and interpretation of findings while
deepening exposure to a central theme of health inequities. The typical daily schedule will include a morning
lecture with incorporated R programming examples and active learning exercises. After lunch at the BU dining
facilities participants will return to the computer classroom to complete short assignments either relevant to the
lecture content or focused on new computing skills (SAS/Linux) or to work on the group research project. The
research project will span the entire program and will deeply engage students in a content area. Working with a
research mentor, the students will determine a research question, develop an analysis plan and proposal,
conduct the analysis, and synthesize and present results. The daily schedule will be interspersed with guest
speakers and site visits (e.g. to the Framingham Heart Study). Multiple sessions on career paths and graduate
school are also included. Strong institutional support from BU provides a 50% tuition scholarship, teaching
assistants, and infrastructure to support all aspects of student life during the program. BU has run a Summer
Institute in Biostatistics (BU SIBS) since 2004. Our track record is very strong. We successfully maintain follow
up of 92% of our BU SIBS alumni (2004-2020) and ~65% of our prior participants have either entered into
graduate programs in biostatistics or a closely related discipline or taken jobs in the field. Our experience with
our prior BU SIBS programs will enable us to rapidly implement a new BU SIBS program, maintaining proven
aspects of our past program while introducing new elements including a data science framework, an expanded
infectious disease module, stronger health inequities emphasis, and a more in depth research experience.
Public Health Relevance Statement
The Boston University Summer Institute for Research Education in Biostatistics and Data Science (BU SIBS)
is a five-week in-residence program, followed by a period of continued remote research, designed to build
skills and to interest undergraduates, recent graduates and early graduate students in the many exciting
opportunities in the field of Biostatistics. The trainees’ future role in public health will be enhanced due to
their early exposure to the foundations of biostatistical analysis, epidemiological analysis, infectious disease
modeling, design and analysis of clinical trials and statistical genetics analysis within a data science
framework.
NIH Spending Category
No NIH Spending Category available.
Project Terms
AcademiaActive LearningBig DataBiomedical ResearchBiometryBostonCOVID-19Career ChoiceClinical TrialsCommunicable DiseasesComplexComputer ModelsComputer softwareComputersCreativenessData ScienceData ScientistData SetDisciplineEducational CurriculumEducational process of instructingElementsEnsureEnvironmentEpidemiologistEpidemiologyExerciseExposure toFacultyFoundationsFramingham Heart StudyFutureGenomicsHigh Performance ComputingHomeIndustryInfrastructureInstitutionJackson Heart StudyKnowledgeLearningLifeLinuxMachine LearningMentorsNational Heart, Lung, and Blood InstituteNational Institute of Allergy and Infectious DiseaseOccupationsOutputParticipantPhysiciansProgram EffectivenessPublic HealthReproducibilityResearchResearch Project GrantsRoleRunningScheduleScholarshipScientistSite VisitSolidStatistical ComputingStatistical Data InterpretationStatistical ModelsStructureStudentsSurveysTaste PerceptionTuberculosisUniversitiesUpdateVocational GuidanceWorkbig biomedical datacareerclinical trial analysiscomputational platformdata integritydata visualizationdesigneducation researchexperiencefollow-upgenetic analysisgraduate schoolgraduate studenthealth disparityhealth inequalitiesinfectious disease modelinferential statisticsinnovationinterestlecturesprogramsresidenceskillsstudent participationsummer instituteteaching assistanttooltrendundergraduate studentvirtual
National Institute of Allergy and Infectious Diseases
CFDA Code
855
DUNS Number
604483045
UEI
FBYMGMHW4X95
Project Start Date
01-June-2022
Project End Date
31-May-2027
Budget Start Date
01-June-2024
Budget End Date
31-May-2025
Project Funding Information for 2024
Total Funding
$230,657
Direct Costs
$215,927
Indirect Costs
$14,730
Year
Funding IC
FY Total Cost by IC
2024
National Institute of Allergy and Infectious Diseases
$230,657
Year
Funding IC
FY Total Cost by IC
Sub Projects
No Sub Projects information available for 5R25AI166897-03
Publications
Publications are associated with projects, but cannot be identified with any particular year of the project or fiscal year of funding. This is due to the continuous and cumulative nature of knowledge generation across the life of a project and the sometimes long and variable publishing timeline. Similarly, for multi-component projects, publications are associated with the parent core project and not with individual sub-projects.
No Publications available for 5R25AI166897-03
Patents
No Patents information available for 5R25AI166897-03
Outcomes
The Project Outcomes shown here are displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed are those of the PI and do not necessarily reflect the views of the National Institutes of Health. NIH has not endorsed the content below.
No Outcomes available for 5R25AI166897-03
Clinical Studies
No Clinical Studies information available for 5R25AI166897-03
News and More
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History
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Similar Projects
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