Spring 2017 Seminar Series


Dr. Bryan Cwik, Assistant Professor of Philosophy and University Studies at Portland State University, will be speaking at CMCI’s Brown Bag Lunch on Monday, February 11, 12:30 p.m., in the Collaboratorium. Title: Moving Beyond ‘Therapy’ and ‘Enhancement’ in the Ethics of Gene Editing Abstract: Since the advent of recombinant DNA technology, expectations (and trepidations) about…
Due to extreme weather conditions and canceled travel, our scheduled speaker for today’s Brown Bag Lunch, Bryan Cwik, will NOT be here. Instead, today’s BBL will be an OPEN DISCUSSION. We will work with Dr. Cwik to reschedule his talk.
Research and Faculty Development (RFD) will host a training seminar designed to enhance skills that lead to successful proposals. In this session, Carly Cummings, director of RFD, will share tips and guidance for writing competitive proposals across all disciplines. The seminar is appropriate for faculty of all career stages. The session is from 2:30-4 p.m….
Introduction to R for Reproducible Science Workshop dates: Thursday and Friday, February 27-28, 9 a.m. – 5 p.m. Instructors: Lihong Zhao and Amanda Culley Description: This introductory course will showcase reproducible research through simple analysis examples. The goal is to teach novice programmers to write modular code and best practices for using R for data analysis. This 2-day…
The CMCI Modeler’s Workshop with Aaron King on Friday, January 25, 2019, is for faculty, postdocs and students interested in biological dynamics, infectious disease ecology, inference for stochastic processes and time series analysis. The workshop will run from 8:30 a.m. to 4:30 p.m. and lunch is included. — REGISTER HERE! — Registration is required and…
CMCI is pleased to join with Northwest Knowledge Network and the Idaho Water Resources Research Institute (IWRRI) to sponsor Professor David Tarboton from Utah State University who will be speaking on the U of I campus on November 27 at 10:30 a.m. His presentation will describe the tools, methods and practices for data and model…