Women in Data Science (WiDS) Datathon
January 6-February 23, 2022
Get involved with the Women in Data Science (WiDS) Datathon 2022 and help mentor participants through a predictive analytics challenge on Kaggle! This year's social impact challenge will focus on the environment and climate change. The WiDS Datathon aims to inspire women worldwide to learn more about data science, and to create a supportive environment for women to connect with others in their community who share their interests.
Host a workshop to bring the WiDS Datathon 2022 to your cohort, colleagues, or community. Learn more about how to host a WiDS Datathon workshop and apply today. Workshops are hosted between January 6th - February 23rd.
Creating a University-Based Data for Good Program: A Decision Points workshop
January 14-Feb 4, 2022
Those interested in starting a university-hosted Data for Good program are invited to apply to attend the workshop, Creating a University-Based Data for Good Program: A Decision Points Workshop. The workshop draws on the collective experience of organizers running “Data Science for Social Good”, “Data Science for Public Good” and “Data Science for Common Good”programs in the United States, Canada, and UK— experience shared recently in the white paper The Data for Good Growth Map. This workshop is sponsored by the West Big Data Innovation Hub and the University of Washington eScience Institute.
Data Science Workshop for HSI Faculty & Staff
January 18-21, 2021
Data Science Workshop for HSI Faculty & Staff The NSF HSI National STEM Resource Hub has partnered with the West Big Data Innovation Hub and the University of Washington eScience Institute to offer an Introduction to Data Science Workshop in January 2022 for HSI faculty and staff. This virtual workshop is for instructors in a broad range of disciplines, who may be interested in incorporating data science into their teaching. The course meets for ~3 hours daily over a 4-day period (Jan 18-21). Participants are eligible to apply to the West Big Data Hub for $100/day participation pay ($400 for 4 days).
Transboundary Groundwater Resiliency Research (TGRR) Collective Learning Meeting
January 28, 2022
In collaboration with Worcester Polytechnic Institute, the TGRR network will be hosting a series of bi-monthly peer mentoring sessions called Collective Learning Meetings (CLMs). CLMs are for graduate students and early-career researchers to obtain collegial and non-evaluative feedback on their unfinished or exploratory research projects. These meetings will cover systems approaches to water resiliency research. You can find more information about CLMs here.
Please join us on Friday, January 28, 2022, from 10:00-11:00 AM MT for the first TGRR CLM! Learn more about the event here. No background expertise is required to attend these meetings, and no signup or registration is required.
Webinar: About the Carpentries Instructor Training
February 1st, 2022 - from 1:30 to 2:30 p.m. PT
Questions or interested in learning more about the Capentries Instructor Training?
Join West Hub Deputy Director Sarah Stone and Carpentries Instructor Ariel Rokem for a webinar on February 1st from 1:30 to 2:30 p.m. PT.
To RSVP please visit https://washington.zoom.us/meeting/register/tJAtd-itqzMuHtQJf1Wct8UelgJORidn6Vez.
Carpentries Instructor Training
March 21-24 - 9:30 a.m. to 12:30 p.m. PT
Together with The Carpentries, the West Big Data Innovation Hub is excited to host a hands-on training workshop for community members to become certified Carpentries instructors. This opportunity is open to residents of the West Region states (Alaska, Arizona, California, Colorado, Hawaii, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, Washington, and Wyoming). Recipients of the training will be expected to host an online workshop for their local geographic region, in collaboration with the West Hub and The Carpentries by December 2022. Join us to improve your data skills and apply what you'll learn in your community!
Why Become an Instructor?
Carpentries workshops are focused on teaching fundamental data skills. Participants, who often have little computational background, leave these workshops with newly-acquired, often transformative, tools and skills to apply to their work. After participating in the instructor training, you will be certified to teach these workshops in your organization, as well as participate in instruction elsewhere. In addition, participants in the West Hub instructor training will have workshop organization fees waived for one workshop.
Who Should Apply?
The training is open to anyone in the West Region states (Alaska, Arizona, California, Colorado, Hawaii, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, Washington, and Wyoming). Teams of 3-4 participants who can then serve as a workshop host in their local geographic area are preferred. For help with finding other interested participants from your area, please contact firstname.lastname@example.org. Each team member should complete the application form.
Applicants from all disciplines, sectors, backgrounds, and geographic locations in the West are encouraged to apply. Given the online setting of the workshop this year, we recognize that differences in connectivity may affect participation and access. If you are concerned that your connectivity will impede your ability to fully participate in this workshop, please make a note on your application form and contact us at email@example.com. We may be able to provide you with additional resources.
When is the Training?
The Instructor training will take place online from 9:30 a.m. to 12:30 p.m. PT on March 21 - 24, 2022 via Zoom.
APPLY NOW: Each team member should complete the application form. https://form.jotform.com/220036953314146
Deadline to submit applications: February 10, 2022. Decisions will be sent out by February 22, 2022.
Questions or interested in learning more?
Join West Hub Deputy Director Sarah Stone and Carpentries Instructor Ariel Rokem for a webinar on February 1st from 1:30 to 2:30 p.m. PT. To RSVP please visit https://washington.zoom.us/meeting/register/tJAtd-itqzMuHtQJf1Wct8UelgJORidn6Vez.