Upcoming Events

Summer 2023 dates: Livestream, online training June 14-15, 2023; 10:00am - ~5:00pm EDT The Quantitative Genomics Training is a two-day intensive training of seminars and hands-on analytical sessions to provide an overview of concepts, methods, and tools for whole-genome and transcriptome analyses in human health studies. This two-day intensive workshop will provide a rigorous introduction to several different techniques to analyze whole-genome sequencing and transcriptome data. Led by a team of experts in statistical genomics and bioinformatics, who have developed their own methods to analyze such data, the training will integrate seminar lectures with hands-on computer lab sessions to put concepts into practice. The training will focus on reviewing existing approaches based on predicted expression association with traits, colocalization of causal variants, and Mendelian Randomization, including discussion on how they relate to each other, and their advantages and limitations. Emphasis will also be given to reviewing integrative sequence-based association studies for whole-genome sequencing data, and functional annotation of variants in noncoding regions of the genome. By the end of the workshop, participants will be familiar with the following topics: Sequence-based association tests (Burden, SKAT and extensions) Functional genomic annotations Analysis of genomic variants in human diseases Transcriptome wide association tests (PrediXcan, MetaXcan, and extensions) Mendelian Randomization techniques Colocalization techniques AUDIENCE AND REQUIREMENTS Investigators at 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 workshop: Each participant must have an introductory background in statistics and genetics, and/or in the statistical analysis of genetic data. Experience using R/Linux is recommended to get the most out of lab sessions. Each participant have a laptop with R/RStudio downloaded and installed prior to the first day of training. All lab sessions will be done using RStudio Cloud.    INSTRUCTORS Hae Kyung Im, PhD, Department of Genetic Medicine, University of Chicago. Iuliana Ionita-Laza, PhD, Department of Biostatistics, Columbia University. Kai Wang, PhD, CHOP and University of Pennsylvania. ADDITIONAL INFORMATION View the training website for more details. 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.

Summer 2023 dates: Livestream, online training June 20-21, 2023; 10:00am - 4:30pm EDT 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. Investigators at all career stages are welcome to attend, and we particularly encourage trainees, students, and early-stage investigators to participate. 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 View the training website for more details. Subscribe for updates on new Training details and registration deadlines.(link is external and opens in a new window) Contact the Quantitative Genomics Training team.(link sends e-mail) Capacity is limited. Paid registration is required to attend.

Summer 2023 dates: Livestream, online training June 20-21, 2023; 10:00am - 4:30pm EDT 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. Investigators at all career stages are welcome to attend, and we particularly encourage trainees, students, and early-stage investigators to participate. 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 View the training website for more details. Subscribe for updates on new Training details and registration deadlines.(link is external and opens in a new window) Contact the Quantitative Genomics Training team.(link sends e-mail) Capacity is limited. Paid registration is required to attend.

Summer 2023 dates: Livestream, online training June 28-30 2023; 10am EDT - ~5:00pm EDT The Climate Change and Health Boot Camp is a three-day intensive course that will prepare clinicians, scientists, and other members of the research, health, and public health communities for informed, effective engagement with climate change issues in their professional lives.  This three-day intensive boot camp combines content on the mechanisms and health impacts of climate change with practical approaches to mitigation and adaptation that participants can apply to their professional work. Led by physicians and public health experts with specialized training in Climate Change and Health, this workshop will integrate content-oriented lectures, skills-oriented class exercises, and group discussion of broader themes, challenges, and opportunities. Upon completion of the course, participants are expected to have an understanding of key topics in climate change and health and a personal action plan for engagement with these issues in their professional work.   By the end of the workshop, participants will be familiar with the following topics:  Causes of climate change and the contribution of the health system to climate change  Current, evidence-based mechanisms connecting climate change to health impacts  Implications of climate change for health equity  How to access climate projections, information on projected health impacts, and information to support long-term planning and research  Clinical actions to consider in climate-affected patients  Principals of healthcare system and public health resilience planning in the context of climate change  Principals of climate and health communication with a variety of stakeholders  Case studies on successful engagement with climate and health issues by individuals, institutions, and communities  AUDIENCE AND REQUIREMENTS Professionals from any institution and from all career stages are welcome to attend, and we particularly encourage trainees and early-stage investigators to participate. There are two requirements to attend this training: Participants are expected to attend all sessions and come prepared to participate in group discussions, undertake brief in-class exercises, and share their experience/expertise with other learners.  Participants will be expected to have a working laptop or tablet with video and audio capabilities. ADDITIONAL INFORMATION View the training website for more details. Subscribe for updates on new Boot Camp details and registration deadlines. Contact the Climate Change and Health Boot Camp team. Capacity is limited. Paid registration is required to attend.