Events

The healthcare sector is large producer of greenhouse gas emissions and environmental pollution and we urgently need evidence-driven solutions to address the resulting health impacts of health system functioning. LCA literacy and competency is crucial in developing the evidence base to guide solutions in reducing the healthcare industry’s carbon footprint and is essential for anyone considering a career in sustainability, as LCA can be a valuable tool in managing the performance of a health organization. This course will provide an introduction into the use of life cycle assessment in the healthcare sector and will provide mentorship for participants to perform their own desired LCA study through the duration of the course. In this course, you will learn: August 13-14 live, virtual training Fundamentals of LCA according to ISO 14040 standards How to define LCA’s Use of SimaPro software and databases required to complete an LCA Process mapping and material flow assessment Data collection and practice with creating assumptions Study design advantages and pitfalls Six-week break During this time, you will work with your team (or individually, if you do not have team members) to access and assimilate the needed data identified during the first session to complete your LCA. Each team will have one more check-in meeting with program faculty and staff to assist with troubleshooting and other logistics. October 1-2 live, virtual training Data synthesis and analysis Sensitivity and certainty analyses Drafting LCA reports and other dissemination strategies Identify best practices for interpreting and sharing LCA results AUDIENCE AND REQUIREMENTS This training is designed for any individuals or teams (2-5 individuals) interested in health care sustainability who have an LCA idea in the healthcare space. Professionals at all career stages are welcome to attend, and we encourage trainees and early-stage investigators to participate. To register for this training, you must have: Basic familiarity with excel or similar data management software. Basic descriptive statistics experience (e.g. computing averages, standard deviations). Access to a working laptop or tablet with video and audio capabilities. Access to SimaPro software will be provided to participants for the duration of the boot camp. Participants must ensure their computer is set up to run the software: Each participant must have access to a Windows computer. Mac/Linux users can run the software using a Windows emulation system(link is external and opens in a new window), but access to a Windows computer is encouraged for the duration of the boot camp. Each participant's computer must be compatible with SimaPro's System Requirements(link is external and opens in a new window). Subscribe for updates on new LCA Boot Camp details or registration deadlines. Capacity is limited. Paid registration is required to attend.

This two day hybrid workshop will introduce attendees to a variety of computational methods and approaches to assess health risks arising from exposure to toxic chemicals. Existing toxicological methods are often insufficient to test ever growing lists of new chemicals. The development of computational strategies using high-throughput in vitro and in vivo toxicology data is a powerful approach to predict the potential health risks of chemicals that have not been fully tested in the laboratory or in experimental animals. By the end of the workshop, participants will be familiar with the following topics: How best to curve fit and display cytotoxicity data How to create highly dimensional and informative data visualizations The EPA’s CompTox dashboard and database ToxPi: the Toxicological Prioritization Index (ToxPi) framework  How to interpolate and extrapolate human exposure risk across multiple data sources and techniques How to find and choose relevant databases and repositories of high-throughput toxicological data and navigate their interfaces. Statistical techniques to analyze chemical mixtures and their relationships to health outcomes Audience & Requirements Grad/PhD students, early-state investigators, and established PI’s at all career stages are welcome. We particularly encourage trainees and early-stage investigators to participate, as well as those who want a basic overview of computational toxicology. Other requirements include: Each attendee must bring a personal laptop and installation of a basic RStudio cloud account is recommended although not required. Prior to the workshop, each attendee will be given an introductory homework set and relevant readings to familiarize themselves with basic concepts, ideas, and how to navigate the EPA CompTox dashboard. Attendees are welcome to share, analyze, and predict toxicology profiles of their favorite chemical classes or compounds. Addtional Information   Register for the the Computational Toxicology Workshop.(link is external and opens in a new window)  Subscribe for updates on new Training details and registration deadlines.(link is external and opens in a new window)  Contact the Workshop team.(link sends e-mail) The Computational Toxicology Workshop is hosted by Columbia University's SHARP Program at the Mailman School of Public Health.

The 10th World Robotics Gynecology Congress (WRGC) represents an evolution in techniques, outcomes and experience from some of the most prolificrobotic surgeons in the world. Since its inception in 2009, WRGC has provided a haven for practicing surgeons to convene and exchange ideas toadvance their knowledge and skills in the application of robotics in complex pelvic surgery. Unique to this year’s congress will an emphasis on video-based surgical tutorials and live demonstrations. New areas of clinical exploration will be addressed throughout the congress while advancements incutting edge technology to enhance robotics are introduced.

The Microbiome Data Analytics Boot Camp is a two-day intensive training of seminars and hands-on analytical sessions to provide an overview of 16S rRNA gene sequencing surveys including planning, generating and analyzing sequencing datasets. This two-day intensive workshop will provide a rigorous introduction to the theory and methodology underlying the design, generation, and analysis of Amplicon Sequence Variant (ASV) based investigations of microbial communities. The workshop will introduce state-of-the-art techniques using the R language and environment. A team of leading experts in microbiome data analytics and statistics will offer a hands-on experience in learning how to implement these techniques by integrating publicly available data and R packages to explore and understand some of the pitfalls and information drawn from 16S rRNA data analysis. This workshop specifically trains participants in the use of the R programming environment for the analysis of microbiome sequence data, including the implementation of the DADA2 and phyloseq software packages. It will also introduce introductory concepts and methods in the generation and analysis of shotgun metagenomic data. By the end of the workshop, participants will be familiar with the following topics: The theoretical basis underpinning 16S rRNA investigations Methodologies for generating 16S rRNA sequence data 16S sequence data quality control Amplicon sequence variant inference Taxonomic annotation Biodiversity estimation Principal Component Analysis and PERMANOVA Taxon-covariate correlation and regression modeling Introduction to machine learning in microbiome data Phylogenetic analysis 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. There are three requirements to attend this workshop: Each participant must have an introductory background in statistics. While beginners are most welcome, some prior exposure to the R programming language will benefit workshop participants. We will provide some material ahead of the workshop to help beginners get more familiar with R. Each participant must have a computer with either Chrome or Firefox installed (latest update). Instructors: Maude David, PhD, Oregon State University.  Thomas Sharpton, PhD, Oregon State University. Additional Information Subscribe for updates on new Boot Camp details and registration deadlines. Contact the Microbiome Boot Camp team. Capacity is limited. Paid registration is required to attend.