Pending Job Openings in Climate Variability, Change, Impacts, and Adaptation

North Carolina State University (Raleigh, NC), the University of Alaska (Fairbanks, AK), the University of Arizona (Tucson, AZ), the University of Colorado (Boulder, CO), the University of Hawaiʻi (Mānoa, HI), the University of Massachusetts (Amherst, MA), the University of Oklahoma (Norman, OK), and the University of Washington (Seattle, WA) are teamed on multiple grant opportunities […]

1-day, virtual Google Earth Engine workshop

There is a 1-day, virtual Google Earth Engine workshop that will run Thursday 08 October 09:00-16:00 PST. Registration is free and will be capped at 15 participants. Please follow this link to register ( The workshop will be given by Xiao Yang from the University of North Carolina. ( While the current material for the workshop is still under construction, […]

R working group’s slack workspace

We have created an R working group Slack workspace! This space can serve as a virtual community, where R working group members can not only crowdsource errors, data analyses, and data management best practices but also learn about jobs, conferences, workshops, and other such opportunities. If you are interested in joining our Slack workspace, please […]

Working With Industry 101

Click here to register for the next workshop series starting October 22, 2020. In association with participation in this 100% virtual short course series, IREO is offering a limited number of stipends of $3,000 to support efforts to develop private sector collaboration. To be eligible for the funding the faculty-trainee team must attend all online sessions; funds are somewhat flexible, […]

Call for abstracts to the session titled “Using Big Data to Answer National- and Regional-Scale Questions”

as part of the 12th National Monitoring Conference (NMC) the week of April 19, 2021. 12th National Monitoring Conference (NMC) the week of April 19, 2021. National and regional scale water-quality studies require collecting and processing large amounts of data. Such studies also often require combining data from multiple organizations. Making “big data” understandable and usable presents […]