Environmental Health Sciences

Upcoming Events

  • Statistical Analysis with Missing Data Workshop

    Monday, June 16, 2025
    9:00 AM to 5:00 PM
    Allan Rosenfield Building, 722 W. 168 St., New York, NY 10032
    • Mailman School of Public Health
    The Statistical Analysis with Missing Data Workshop is a two-day intensive workshop of seminars and hands-on analytical sessions to provide an overview of concepts, methods, and applications for statistical analysis of health studies with missing data. This two-day intensive workshop integrates the principle concepts and methods commonly used in statistical analysis with missing data and their applications in surveys, longitudinal studies, and clinical trials. Led by a team of renowned experts in missing data research, this workshop will integrate seminar lectures with hands-on computer lab sessions and case studies to put concepts into practice. We will cover weighting, maximum likelihood, Bayes, and multiple imputation methods and use a wide variety of examples to illustrate the techniques and approaches. We will also discuss methods for missing not at random and the latest developments on missing data research. By the end of the workshop, participants will be familiar with the following topics: Missing data patterns and mechanisms Weighting methods Maximum likelihood methods Bayes and multiple imputation Approaches to missing not at random Missing data in surveys Missing data in longitudinal studies Missing data in clinical trials Audience and Requirements Investigators from all career stages are welcome to attend, and we particularly encourage trainees and early-stage investigators to participate. There are three requirements to attend this training: Each participant must be familiar with common methods of statistical analysis of complete data, such as multiple regression and logistic regression. Each participant must have experience with programming in R. Each participant is required to bring a personal laptop as all lab sessions will be done on your personal laptop. Each participant must have R downloaded and installed prior to attending the Workshop. Instructors Roderick J. Little, PhD, University of Michigan School of Public Health. Roderick J. Little is Richard D.  Qixuan Chen, PhD, Mailman School of Public Health, Columbia University. Qixuan Chen is Associate Professor of Biostatistics at Columbia University. Additional Information Subscribe for updates on new Training details and registration deadlines. Contact the Boot Camp team. Capacity is limited. Paid registration is required to attend.

  • NIH Grant Writing Boot Camp

    Monday, June 16, 2025
    10:00 AM to 5:00 PM
    Online Event
    • Mailman School of Public Health
    The NIH Grant Writing Boot Camp is a two-day intensive boot camp combining lectures, hands-on activities, and discussions to demystify the NIH application process. This training will prepare participants to submit an NIH grant proposal that turns reviewers into advocates, positioning the applicant for success. The 2-day NIH Grant Writing Boot Camp: Building a Strong Foundation for Funding Success will provide comprehensive training that supplies researchers with the tools to write persuasive, effective grant proposals. Through a combination of seminars, discussions, examples, and hands-on activities, with a particular focus on navigating between-the-lines on how to tailor your proposals to grant reviewers, this training will orient you to all aspects of the academic funding process (i.e., grant writing and grant strategizing), including: How to identify and apply for the right funding opportunities with the NIH (and beyond); How to position your research and yourself to make reviewers your research advocates; How to target your application to the right place at the right time; and How to write clearly, effectively, and persuasively when telling your scientific story. Audience and Requirements Investigators from any institution and from all career stages are welcome to attend, and we particularly encourage trainees and early-stage investigators to participate. No prior experience in preparing or submitting NIH grant applications is necessary. However, each participant should be prepared to share* and work on an NIH Specific Aims page and an NIH biosketch. Participants who have not previously written an NIH-style Aims page and/or biosketch will have an opportunity to draft their page and receive initial feedback ahead of the on-site workshop. There are no other requirements to attend the NIH Grant Writing Boot Camp. *Hands-on activities will use participant aims pages, and we therefore request that all participants respect the confidentiality of other attendees. Any participant who prefers not to share their research ideas may create a mock aims page to use during the boot camp. Additional Information Subscribe for updates on new Boot Camp details and registration deadlines. Contact the NIH Grant Writing Boot Camp team. Capacity is limited. Paid registration is required to attend.

  • Statistical Analysis with Missing Data Workshop

    Tuesday, June 17, 2025
    9:00 AM to 5:00 PM
    Allan Rosenfield Building, 722 W. 168 St., New York, NY 10032
    • Mailman School of Public Health
    The Statistical Analysis with Missing Data Workshop is a two-day intensive workshop of seminars and hands-on analytical sessions to provide an overview of concepts, methods, and applications for statistical analysis of health studies with missing data. This two-day intensive workshop integrates the principle concepts and methods commonly used in statistical analysis with missing data and their applications in surveys, longitudinal studies, and clinical trials. Led by a team of renowned experts in missing data research, this workshop will integrate seminar lectures with hands-on computer lab sessions and case studies to put concepts into practice. We will cover weighting, maximum likelihood, Bayes, and multiple imputation methods and use a wide variety of examples to illustrate the techniques and approaches. We will also discuss methods for missing not at random and the latest developments on missing data research. By the end of the workshop, participants will be familiar with the following topics: Missing data patterns and mechanisms Weighting methods Maximum likelihood methods Bayes and multiple imputation Approaches to missing not at random Missing data in surveys Missing data in longitudinal studies Missing data in clinical trials Audience and Requirements Investigators from all career stages are welcome to attend, and we particularly encourage trainees and early-stage investigators to participate. There are three requirements to attend this training: Each participant must be familiar with common methods of statistical analysis of complete data, such as multiple regression and logistic regression. Each participant must have experience with programming in R. Each participant is required to bring a personal laptop as all lab sessions will be done on your personal laptop. Each participant must have R downloaded and installed prior to attending the Workshop. Instructors Roderick J. Little, PhD, University of Michigan School of Public Health. Roderick J. Little is Richard D.  Qixuan Chen, PhD, Mailman School of Public Health, Columbia University. Qixuan Chen is Associate Professor of Biostatistics at Columbia University. Additional Information Subscribe for updates on new Training details and registration deadlines. Contact the Boot Camp team. Capacity is limited. Paid registration is required to attend.

  • NIH Grant Writing Boot Camp

    Tuesday, June 17, 2025
    10:00 AM to 5:00 PM
    Online Event
    • Mailman School of Public Health
    The NIH Grant Writing Boot Camp is a two-day intensive boot camp combining lectures, hands-on activities, and discussions to demystify the NIH application process. This training will prepare participants to submit an NIH grant proposal that turns reviewers into advocates, positioning the applicant for success. The 2-day NIH Grant Writing Boot Camp: Building a Strong Foundation for Funding Success will provide comprehensive training that supplies researchers with the tools to write persuasive, effective grant proposals. Through a combination of seminars, discussions, examples, and hands-on activities, with a particular focus on navigating between-the-lines on how to tailor your proposals to grant reviewers, this training will orient you to all aspects of the academic funding process (i.e., grant writing and grant strategizing), including: How to identify and apply for the right funding opportunities with the NIH (and beyond); How to position your research and yourself to make reviewers your research advocates; How to target your application to the right place at the right time; and How to write clearly, effectively, and persuasively when telling your scientific story. Audience and Requirements Investigators from any institution and from all career stages are welcome to attend, and we particularly encourage trainees and early-stage investigators to participate. No prior experience in preparing or submitting NIH grant applications is necessary. However, each participant should be prepared to share* and work on an NIH Specific Aims page and an NIH biosketch. Participants who have not previously written an NIH-style Aims page and/or biosketch will have an opportunity to draft their page and receive initial feedback ahead of the on-site workshop. There are no other requirements to attend the NIH Grant Writing Boot Camp. *Hands-on activities will use participant aims pages, and we therefore request that all participants respect the confidentiality of other attendees. Any participant who prefers not to share their research ideas may create a mock aims page to use during the boot camp. Additional Information Subscribe for updates on new Boot Camp details and registration deadlines. Contact the NIH Grant Writing Boot Camp team. Capacity is limited. Paid registration is required to attend.

  • Code Rigor and Reproducibility with R Boot Camp

    Monday, June 23, 2025
    9:00 AM to 5:30 PM
    Allan Rosenfield Building, 722 W. 168 St., New York, NY 10032
    • Mailman School of Public Health
    The Code Rigor and Reproducibility with R Boot Camp is a two-day intensive workshop for researchers who are currently using R in their research, focused on diving into strategies to improve research code so it will be more efficient, less likely to harbor hidden bugs, and ready to share as a reproducible documentation of your analysis. This two-day intensive boot camp fills a critical gap—many health researchers are using open-source code for substantial and complex data analysis projects, yet their training in coding did not cover techniques for efficient, rigorous, and reproducible code when scaling to large and complex projects. Led by an expert in open-source programming for environmental health research, this workshop will cover techniques that you can use to make R code more rigorous and reproducible for research projects. The workshop will alternate between seminar lectures and applied computational work, with approximately equal amounts of lecture and hands-on work over the course of the workshop. In addition, participants will have the option to apply the principles from day 1 of the workshop to an example of their own research code as an optional homework, with time reserved in day 2 of the workshop for one-on-one evaluations of their progress on making their own code more rigorous and reproducible. By the end of the workshop, participants will be familiar with the following topics: Fundamentals of how research code can be made rigorous and reproducible Approaches to tackle messy code, using an editing process to identify bugs and clarify code for human readers Strategies to use functional programming in R to dramatically improve the efficiency and concision of research code,  making it easier to maintain and keep bug-free How to find and build on existing code examples while maintaining a rigorous and reproducible code base Basic principles of file system architecture, how to leverage it to structure project files consistently, and how code to this structure Strategies to develop a personal set of fundamental tools (functions, packages, data structures) as a basis to scale rigorously to larger coding projects How to prepare data and code to be published as part of a peer-reviewed article Additional Information Subscribe for updates on new Training details and registration deadlines. Contact the Boot Camp team.  Capicity is limited. Paid registration is required to attend.

  • The PI's Business of Research Boot Camp

    Monday, June 23, 2025
    10:00 AM to 5:30 PM
    Online
    • Mailman School of Public Health
    The PI's Business of Research Boot Camp will equip research group leaders with concepts and strategies in personnel, project, time, and budget management for effective research programs that advance publishing, funding, and productivity goals for career success. This two-day intensive boot camp challenges participants to think about their research group as a business and to implement strategies for effective and efficient teamwork and (research and career) goal attainment that fosters success to maximize your impact. Hands-on activities will engage you to identify your current strategies for personnel, project, and time management, learn new strategies, and plan to implement those strategies for a more effective research group business. Additional instructions will empower you with a foundational understanding of budgeting (e.g. NIH, NSF, and DOD). By the end of the workshop, participants will be familiar with the following topics: The importance of setting and attaining goals Developing a program vision and culture Hiring (and firing) the right person Strategies for effective research group meetings Budgeting basics for NIH, DOD, and NSF Managing time and energy and avoiding procrastination When to say no, when to say yes Moving projects forward Knowing when to drop a project Understanding how to keep your team motivated Audience and Requirements This boot camp is targeted for faculty who are in the process of establishing or growing their research group. PIs and/or those with a group leader appointment at any university, hospital, institution, or other research organization are welcome to attend. There are no prerequisites to attend the PI's Business of Research Boot Camp. This boot camp is not applicable to students, and there is a limited number of seats for postdocs and trainees. Additional Information Subscribe for updates on Boot Camp details and registration deadlines. Contact the PI's Business of Research Boot Camp team. Capacity is limited. Paid registration is required to attend.

  • Code Rigor and Reproducibility with R Boot Camp

    Tuesday, June 24, 2025
    9:00 AM to 5:30 PM
    Allan Rosenfield Building, 722 W. 168 St., New York, NY 10032
    • Mailman School of Public Health
    The Code Rigor and Reproducibility with R Boot Camp is a two-day intensive workshop for researchers who are currently using R in their research, focused on diving into strategies to improve research code so it will be more efficient, less likely to harbor hidden bugs, and ready to share as a reproducible documentation of your analysis. This two-day intensive boot camp fills a critical gap—many health researchers are using open-source code for substantial and complex data analysis projects, yet their training in coding did not cover techniques for efficient, rigorous, and reproducible code when scaling to large and complex projects. Led by an expert in open-source programming for environmental health research, this workshop will cover techniques that you can use to make R code more rigorous and reproducible for research projects. The workshop will alternate between seminar lectures and applied computational work, with approximately equal amounts of lecture and hands-on work over the course of the workshop. In addition, participants will have the option to apply the principles from day 1 of the workshop to an example of their own research code as an optional homework, with time reserved in day 2 of the workshop for one-on-one evaluations of their progress on making their own code more rigorous and reproducible. By the end of the workshop, participants will be familiar with the following topics: Fundamentals of how research code can be made rigorous and reproducible Approaches to tackle messy code, using an editing process to identify bugs and clarify code for human readers Strategies to use functional programming in R to dramatically improve the efficiency and concision of research code,  making it easier to maintain and keep bug-free How to find and build on existing code examples while maintaining a rigorous and reproducible code base Basic principles of file system architecture, how to leverage it to structure project files consistently, and how code to this structure Strategies to develop a personal set of fundamental tools (functions, packages, data structures) as a basis to scale rigorously to larger coding projects How to prepare data and code to be published as part of a peer-reviewed article Additional Information Subscribe for updates on new Training details and registration deadlines. Contact the Boot Camp team.  Capicity is limited. Paid registration is required to attend.   

  • The PI's Business of Research Boot Camp

    Tuesday, June 24, 2025
    10:00 AM to 5:30 PM
    Online
    • Mailman School of Public Health
    The PI's Business of Research Boot Camp will equip research group leaders with concepts and strategies in personnel, project, time, and budget management for effective research programs that advance publishing, funding, and productivity goals for career success. This two-day intensive boot camp challenges participants to think about their research group as a business and to implement strategies for effective and efficient teamwork and (research and career) goal attainment that fosters success to maximize your impact. Hands-on activities will engage you to identify your current strategies for personnel, project, and time management, learn new strategies, and plan to implement those strategies for a more effective research group business. Additional instructions will empower you with a foundational understanding of budgeting (e.g. NIH, NSF, and DOD). By the end of the workshop, participants will be familiar with the following topics: The importance of setting and attaining goals Developing a program vision and culture Hiring (and firing) the right person Strategies for effective research group meetings Budgeting basics for NIH, DOD, and NSF Managing time and energy and avoiding procrastination When to say no, when to say yes Moving projects forward Knowing when to drop a project Understanding how to keep your team motivated Audience and Requirements This boot camp is targeted for faculty who are in the process of establishing or growing their research group. PIs and/or those with a group leader appointment at any university, hospital, institution, or other research organization are welcome to attend. There are no prerequisites to attend the PI's Business of Research Boot Camp. This boot camp is not applicable to students, and there is a limited number of seats for postdocs and trainees. Additional Information Subscribe for updates on Boot Camp details and registration deadlines. Contact the PI's Business of Research Boot Camp team. Capacity is limited. Paid registration is required to attend.

  • GIS Workshop

    Thursday, June 26, 2025
    10:00 AM to 4:30 PM
    Online Event
    • Mailman School of Public Health
    The GIS Workshop is a two-day intensive workshop that will introduce participants to the fundamental concepts and hands-on techniques of health data visualization and analysis using publicly available open-source GIS programs. This two-day intensive course aims to introduce participants to the fundamentals of data visualization using the open-source QGIS program and building towards the introduction of foundational spatially-centered approaches to identifying relationships and associations among population and environmental variables. Led by Dr. Jeremy R. Porter and Dr. Joel Capellan two of the highest-rated teachers at the Columbia University Mailman School of Public Health and the authors of many celebrated geospatial analysis publications and books, this workshop will integrate lectures with hands-on application. The workshop emphasizes the use of open-source software packages and publicly available environmental and demographic data as an example of potential applications of these data with spatially centered visualization and analytic techniques.  The workshop is comprised of 4 components 1) visualization, 2) geo-processing, 3) cluster analysis, and 4) relationship identification.  Within each component, a lecture is followed by an opportunity to put the methods learned into practice. By the end of the workshop, participants will be familiar with the following topics: Principles of data visualization and analysis Sources and techniques for the acquisition and management of spatial data Methods and techniques for the visualization of spatial data Techniques for the identification of statistical spatial (and spatio-temporal) clusters Techniques for the incorporation of spatial information in more traditional regression methods of association and relationship identification among variables. Audience and Requirements There are three prerequisites/requirements to attend this workshop: Each participant must have an introductory background in statistics. Each participant must be familiar and have a basic understanding of R. Each participant must have a laptop with QGIS, saTScan, GeoDa, R, and R-Studio downloaded and installed prior to the first day of the workshop. All of the packages listed are available for free download and installation on Mac, PC, and Linux devices. Personal laptops will be used for multiple workshop sessions. Instructors Jeremy Porter, PhD, Mailman School of Public Health, Columbia University. Joel Capellan, PhD, Mailman School of Public Health, Columbia University. Additional Information Subscribe for updates on new Training details and registration deadlines. Contact the Quantitative Genomics Training team. Capacity is limited. Paid registration is required to attend.

  • Epigenetics Boot Camp

    Thursday, June 26, 2025
    10:00 AM to 5:00 PM
    Allan Rosenfield Building, 722 W. 168 St., New York, NY 10032
    • Mailman School of Public Health
    The Epigenetics Boot Camp is a two-day intensive boot camp of seminars and hands-on analytical sessions to provide an overview of concepts, techniques, and data analysis methods utilized in human epigenetics studies and focused on DNA methylation array. This two-day intensive boot camp integrates the principle concepts of epigenetics and the effects of risk factors on the epigenome as we step through the key components of designing and executing DNA methylation studies. Led by a team of scientists with more than 50 years of combined expertise in the field of environmental epigenetics, this epigenetics training will integrate seminar lectures with hands-on computer sessions to put concepts into practice. Emphasis will be given to leveraging existing resources from ongoing studies and initiating new investigations. The afternoon lab sessions will provide an opportunity to work hands-on with real methylation data generated by the Illumina Infinium MethylationEPIC (850k) BeadChip platform. Participants will learn and practice data handling, cleaning, and basic analysis of epigenome-wide DNA methylation data. This training will not cover WGBS or analyses from sequencing experiments in animal models. By the end of the epigenetics training, participants will be familiar with the following topics: Principles of epigenetics Concept ideation and study design Sample collection and processing Laboratory methods and platforms for analysis Data handling and cleaning Analysis of 450K/EPIC data Study design advantages and pitfalls Emerging epigenetic topics and laboratory platforms Investigators at all career stages are welcome to attend, and we particularly encourage trainees and early-stage investigators to participate.     Contact the Epigenetics Boot Camp team. Capacity is limited. Paid registration is required to attend.

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