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December 2022

 
westbigdatahub.org | @westbigdatahub | #BDHubs
Community Spotlights

University of Utah Researchers Utilize Research Data Center to Study Social Issues

Kim Bruch, West Hub Science Writer

With 32 sites throughout the U.S., the Federal Statistical Research Data Centers (FSRDC) program aims to decentralize access to restricted federal agency databases and promote novel avenues of academic inquiry utilizing “big data,” which has historically only been available to federal researchers. One such site is the Wasatch Front Research Data Center (WFRDC), which is directed by University of Utah Distinguished Professor of Family Studies & Population Science Ken Smith.

Full story

University of Washington's Data Science for Social Good Program Uses “Big Data” for an Array of Projects

Henry Lemersal, San Diego Supercomputer Center Intern

At the University of Washington (UW) eScience Institute’s Data Science for Social Good (DSSG) program, it’s not just about the numbers. With support from the West Hub, the program hosts multiple projects analyzing data in order to tackle societal challenges each summer.

The recent DSSG Learning and Doing Data for Good Conference was attended by students and professionals from across the nation sharing how they have applied data science to an array of important societal issues.

Full story
Featured Updates

Registration Open for the WiDS Datathon 2023 Challenge: Adapting to Climate Change by Improving Extreme Weather Forecasts

The 6th Annual Women in Data Science (WiDS) Datathon launches in January 2023, in the lead up to the WiDS conferences in March 2023. In this year’s datathon challenges, participants will use data science to improve longer-range weather forecasts to help people prepare and adapt to extreme weather events caused by climate change. The WiDS Datathon encourages women worldwide to hone their data science skills, creating a supportive environment for women to connect with others in their community who share their interests.

Make your plans to get involved in this year’s WiDS Datathon! Read the announcement to learn more about the challenge, and sign up to confirm your plans to participate.

West Hub Leader Vani Mandava joins University of Washington as Head of Engineering

The University of Washington (UW) eScience Institute recently selected Vani Mandava as the Head of Engineering for the newly formed UW Scientific Software Engineering Center (SSEC) to build a world-class software engineering team to transform scientific software development.

Mandava represented the West Big Data Innovation Hub on its Steering Committee and at the national Big Hubs level as a National Coordination Committee representative. It was through close collaborations facilitated by the West Hub, that the UW team was originally connected with Mandava, a relationship that will now be transformative for supporting this new center. 

She most recently led Trustworthy AI research engagements at Microsoft Research Outreach as Director of Data Science, and has over two decades of experience related to shipping software that scales across clients, enterprise and cloud services. She has driven numerous successful collaborations across academic, government and industry research to enable robust and reproducible scientific tools and pipelines. Mandava is deeply interested in creating software driven solutions that can contribute to open and reproducible science. 

“I am excited to bring together best practices and talent from the software industry, with deep commitment to fundamental science and sustainable tool development under one roof at a world class academic institution such as UW,” Mandava said. “Through SSEC and eScience Institute, academic researchers now have this golden opportunity to build the next generation of software solutions that will unlock the potential of large scientific datasets to accomplish significant research breakthroughs.”

2022 California Water Data Challenge: Accepting Submissions until December 16

The California Water Data Challenge is accepting submissions related to the themes of racial equity, policies and regulations, data accessibility, and data quality. You can access recordings of the symposium and kickoff here

California is implementing the Open and Transparent Water Data Act to publish water and ecosystem information in an open data format. In addition to fostering the development of innovative tools and insights related to safe drinking water, the California Water Data Challenge will provide participants an opportunity to engage with the open data portal and submit feedback, advice, and suggestions for consideration as this effort is being implemented.

Data has the power to help us see challenges through different lenses, discover solutions that may not otherwise be evident, and put tools into the hands of those who need them most—empowering the community to work together in new ways. The 2022 Water Data Challenge focuses on open data to collectively assess what we know and prepare for a more resilient future.

Apply now
Announcements
DataJam Project Proposals | Due December 2

Project proposals for DataJam 2023 are due by Friday, December 2, 2022. The DataJam is an academic competition for high school students and afterschool programs that focuses on teaching about the use of big data to answer a research question. Students work in teams to formulate a research question, find publicly available data sets, analyze their data, make data visualizations, and present their findings to a panel of judges. Find more information here.
Education and Data Science Workforce Group | December 2

The Education and Data Science Workforce Group, hosted by the South Big Data Innovation Hub, is an open monthly professional working group for data science educators and program leaders to talk and hear from other programs around the country. Join the next working group meeting on Friday, December 2, at 8am PT. Learn more
here.
Data Sharing and Cyberinfrastructure Working Group | December 2

The Data Sharing and Cyberinfrastructure Working Group is a collaboration across all four of the Big Data Innovation Hubs. Each month, the working group brings together data scientists and cyberinfrastructure professionals to learn about topics of common interest.  Areas covered include data management and analytics tools and frameworks, and use of data science to solve real-world problems in areas such as transportation, water quality, public health and disaster response. Join the working group on Friday, December 2, from 10-11am PT. Learn more here.
Trusted CI Webinar Series | December 5

This series provides readily available cybersecurity services tailored to the NSF science community. Join the next webinar series on Monday, December 5, at 8am PT. Interested in presenting at an upcoming session? Reach out here
Data Science Discovery Showcase | December 6

UC Berkeley's Division of Computing, Data Science, and Society invites you to the Fall 2022 Data Science Discovery Showcase! The Data Science Discovery Showcase will highlight more than 80 data science, machine learning, and AI projects within research partners in academia, non-profits, government, and industry. Register today to be part of the live stream on Tuesday, December 6, from 1:00-2:30pm PT.
Call for Abstracts: National Big Data Health Science Conference 2023 | December 12

This year’s National Big Data Health Science Conference theme is Unlocking the Power of Big Data in Health: Translating Data Science into Program Development and Implementation. The event will take place in Columbia, SC, from February 10-11, 2023, and include innovative plenary sessions, panels, and workshops that emphasize the role of interdisciplinary collaboration in Big Data applications and advancements in the health sciences. Abstracts are due here by Monday, December 12, 2022.
FAIR Digital Objects Forum Lectures | December 15

Join the FAIR Digital Objects Forum for a lecture and discussion on Thursday, December 15, at 9:30am PTDr.Ing. Tobias Kleinert and Dr.Ing. Torben Miny will present I4.0 AAS as evolving Industry Standarda strategy viewJoin the event here.
Data Matters™ Spring Ahead | March 13-16, 2023

Data Matters™ is a week-long series of one and two-day courses aimed at students and professionals in business, research, and government. The short course series is sponsored by the Odum Institute for Research in Social Science at UNC-Chapel Hill, the National Consortium for Data Science, and the Renaissance Computing Institute. The first-ever springtime series, Data Matters: Spring Ahead, will feature a selection of their most popular two-day courses. Learn more and register here.
Join the National Student Data Corps! 

The National Student Data Corps (NSDC) Chapters provide a community of support for data science learners of all ages, backgrounds, and skill levels, with a special focus on underserved communities. Get started today and join the U.S. West Regional Chapter to benefit from learning resources, mentorship, research and career opportunities to launch your data science journeys!
In Case You Missed It #ICYMI
The World Meteorological Organization's Water and Climate Coalition produced a joint publication that featured West Hub work 
The Water and Climate Coalition launched a joint members’ publication to showcase climate-resilient water resources management actions in the lead-up to COP27 and the UN 2023 Water Conference. Read more about the West Hub-affiliated Transboundary Groundwater Resilience (TGR) Network in the publication’s Climate Resilient Transboundary Water Management: Data-Driven, Internationally Shared, and Community-Accessible Modelling of Coupled Human and Natural Systems article. The TGR network connects water, social, data, and systems science to advance transboundary groundwater resilience.
Read more
Opportunities
Pathways Student Intern (Data Science)
Turner-Fairbank Highway Research Center

Faculty Cluster Hire in Modeling and Data Science
University of Idaho

Junior Health Analytics Data Scientist
UCLA Health

Data Scientist and Data Engineer positions
University of Utah 

Data Engineer (Remote)
Charity: Water


Director of the Institute for Data Science
University of Mississippi
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