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FAIR Digital Objects Forum Lectures

November 17

Join the FAIR Digital Objects Forum for a lecture and discussion on Thursday, November 17, at 9:30am PT. Dr. Sven Bingert, Dr. Tibor Kalman, and Prof. Dr. Philipp Wieder will present Persistent Identifiers (PID) and Fair Digital Objects (FDO) Service Provisioning in an evolving data landscape—a strategy view. Join the event here.

Water Data Forum Webinar

November 9

The Smart Water Equity: Data-Enabled Affordability and Justice will take place on Wednesday, November 9, at 7am PT. Hosted by the Cleveland Water Alliance, the Midwest Big Data Hub, and the Water Environment Federation’s Intelligent Water Technology Committee, this event will convene industry and community experts to explore the current and future application of water data tools, as well as issues related to water equity and environmental justice. In a facilitated discussion, the panelists will examine specific case studies and projects to define a vision for the impact and future of data in this space. Register here.

The Indigenous Connectivity Summit

October 24-28

The 2022 Indigenous Connectivity Summit (ICS) will be held in-person in Winnipeg, Canada, on October 24-28. The ICS brings together Indigenous community members, leaders, network operators, researchers and policymakers with a common goal: to connect Indigenous communities to fast, affordable and sustainable internet. Register here.

2022 COVID Information Commons Student Paper Challenge

October 14

The COVID Information Commons (CIC) invites students from higher education institutions around the world to leverage CIC resources and to participate in the 2022 CIC Student Paper Challenge. Students will have the opportunity to join the scientific research community addressing the COVID-19 pandemic.

CIC also invite STEM and healthcare researchers, professors, or professionals to participate in this challenge as Mentors and Judges. Interested individuals should complete the Mentors and Judges Call for Participation.


Transboundary Groundwater Resilience Network Annual Workshop

September 28-29

Join us September 28-29 from 8-10am PT/9-11AM MT for the Transboundary Groundwater Resilience (TGR) Network's first annual workshop. TGR is an NSF-funded project that connects hydrology, social science, data science, and systems science networks to establish a novel approach to water research. Register here for this free workshop. 

Learning and Doing Data for Good Conference

September 9-11, 2022

We invite you to join us for the Learning and Doing Data for Good Conference on September 9-11, 2022 co-hosted by the West Hub. At this forum, current students and alumni of university-based data for good programs will have the opportunity to present their work alongside past partners and data science professionals. We hope this will be a space of interesting and inspiring discussions, as well as a time for connecting with colleagues and partners who are motivated to learn from and meet the needs of communities and people using data for change. In-person participation on the University of Washington campus and virtual participation available. Please register here, and for any questions, please contact the Conference Director, Juandalyn Burke, at

2022 Big Data Neuroscience Workshop

Register by September 1, 2022

The Big Data Neuroscience (BDN) workshop, organized by the Advanced Computational Neuroscience Network, brings together researchers in neuroscience, computer science, statistics, computer engineering, structural biology, neuroinformatics, and related disciplines. The workshop aims to bring together a transdisciplinary set of speakers to educate trainees and faculty on tackling society's biggest challenges in critical areas of interdisciplinary strength, including health & well-being and technology & society. Submit abstracts and applications for travel scholarships by August 18, 2022


The BDN workshop will be held in Austin, Texas, September 15-16, 2022

National Science Foundation (NSF) Regional Innovation Engines

Letters of Intent due August 31, 2022

Full Proposals due September 29, 2022

NSF released a Regional Innovation Engines (RIE) solicitation through the new Technology, Innovation, and Partnerships (TIP) Directorate. RIEs will receive up to $160 million in funding to "support the development of diverse regional coalitions to engage in use-inspired research and development, translation of innovation to society, and workforce development — with the goal of growing and sustaining regional innovation ecosystems throughout the U.S."  Type-1 and Type-2 Concepts Outlines were due on June 30, and they will be posted publicly. Type-1 Letters of Intent are due August 31, and Type-1 Full Proposals are due September 29. 

The West Hub welcomes requests for collaboration from our community. Reach out and let us know how we can work together and best support you on this solicitation.

Data Matters Short-Course Series | August 8 - 12 | Virtual

Register by August 3, 2022

Data Matters™ is a week-long series of one and two-day courses aimed at students and professionals in business, research, and government. Sponsored by the Odum Institute for Research in Social Science at UNC-Chapel Hill, the National Consortium for Data Science, and RENCI, the short-course series gives students the chance to learn about a wide range of topics in data science, analytics, visualization, curation, and more from expert instructors. Among the classes available are:


  • Overview of AI and Deep Learning, Ashok Krishnamurthy. Many key advances in AI are due to advances in machine learning, especially deep learning. Natural language processing, computer vision, speech translation, biomedical imaging, and robotics are some of the areas that have benefited from deep learning methods. This course is designed to provide an overview of AI, and in particular, deep learning. Topics include the history of neural networks, how advances in data collection and computing have caused a revival in neural networks, different types of deep learning networks and their applications, and tools and software available to design and deploy deep networks.

  • Introduction to Effective Information Visualization, Eric Monson. Visualization is a powerful way to reveal patterns in data, attract attention, and get your message across to an audience quickly and clearly.  However, there are many steps in that journey from information to influence, and many questions – what visualization tools to use, how to get data into the right format, and which choices to make when putting it all together to tell your story? This course will quickly walk participants through a wide variety of data and chart types to help even beginners feel comfortable embarking on a new visualization project.

  • Introduction to Discrete Choice Modeling in R, Matt Bhagat-Conway. This course introduces participants to discrete choice models, econometric models of how people choose between discrete outcomes, such as mode of travel to work or type of treatment for pain. The course will cover the subset of discrete choice models known as random utility models. These models are often used in disciplines such as economics, transportation, and public health. No prior knowledge is expected, and the course will cover logistic regression, multinomial logistic regression, and nested logistic regression. Hands-on exercises will be conducted in R.

  • Introduction to Programming in R, Jonathan Duggins. Statistical programming is an integral part of many data-intensive careers and data literacy, and programming skills have become a necessary component of employment in many industries. This course begins with necessary concepts for new programmers—both general and statistical—and explores some necessary programming topics for any job that utilizes data. 

  • Geospatial Analytics Using Python, Laura Tateosian. This course will focus on how to explore, analyze, and visualize geospatial data. Using Python and ArcGIS Pro, students will inspect and manipulate geospatial data, use powerful GIS tools to analyze spatial relationships, link tabular data with spatial data, and map data. In these activities, participants will use Python and the arcpy library to invoke key GIS tools for spatial analysis and mapping. 


The deadline for registration is August 3 for Monday/Tuesday courses, August 4 for Wednesday courses, and August 7 for Thursday/Friday courses.

Data Science Discovery Program accepting project partner applications for Fall 2022 

Applications Due July 29, 2022

Since 2015, the Data Science Discovery Program has connected thousands of undergraduate data scientists with hands-on, team-based opportunities at hundreds of cutting-edge data-centered research projects in organizations. 

The Data Science Discovery Project Partners Application is open to all faculty, graduate students, and postdocs, along with non-profits, government agencies, and industry partners. 

As a Data Science Discovery Project Partner, you will have the opportunity to:

  • Increase your capacity to take on data-centric projects, at any level of complexity

  • Collaborate with UC Berkeley’s world-class data science students

  • Create cutting edge machine learning, neural network, and AI algorithms to get new insights and tangible results from your data science projects

  • Rely on an infrastructure of technical and project management support for your student team

  • Join our network of professors, graduate and undergraduate students, and past Project Partners such as NASA, UCSF, Creative Commons, BART and more.

  • Access free cloud computing and data storage resources.


The Fall 2022 Data Science Discovery Partnership application can be accessed via this link. We are accepting applications through July 29, 2022.

For specific inquiries about our program email us at

Transboundary Groundwater Resiliency Research (TGRR) Network June Seminar Series


June 23, 2022 (8am MT/9am PT)

This bi-monthly series provides perspectives from leading global researchers on how systems science and data science can contribute to transformative water research. Join us next week for a one-hour TGRR seminar series presentation by Dr. Khalid Saeed, a professor of economics and system dynamics at the Worcester Polytechnic Institute (WPI) who is widely recognized for his work on the interface of economics and system dynamics. A 20-minute Q&A session will follow Dr. Saeed's 40-minute presentation.

2022 National Workshop on Data Science Education


June 27-30, 2022

Join us at the 2022 National Workshop on Data Science Education to learn about data science education and meet educators involved in shaping data science at the undergraduate level. The first two days will cover what UC Berkeley is doing in the space, including its open-source curriculum and data science major. The latter two days will focus on national and international perspectives and host panels led by a diverse group of data science educators. The workshop is sponsored by the NSF Big Data Innovation Hubs and Microsoft.

The NSF Big Data Innovation Hubs will host two virtual panels. Our Building National Capacity for Student-Driven Data Science Communities panel takes place on June 29 (11:00 AM - 12:30 PM PT); it will be moderated by Northeast Hub Executive Director Florence Hudson and include Midwest Hub Executive Director John MacMullen as a panelist. Our Data Science Program Development panel will be moderated by South Hub Executive Director Renata Rawlings-Goss on June 30 (09:00 AM - 10:30 AM PT). 

Participation in the workshop is free for both in-person and online participants. Learn more here and register here. Contact conference organizers at

2022 California Water Boards Water Data Science Symposium

June 28-30, 2022

The Surface Water Ambient Monitoring Program (SWAMP) and the California Water Quality Monitoring Council are hosting the Seventh Annual California Water Boards Water Data Science Symposium on June 28-30, 2022. This free annual event aims to enhance how water quality monitoring generates and uses meaningful data to inform equitable water quality management decisions. 

Who should attend?

  • Managers and staff at agencies faced with water related questions, issues, or policy or regulatory decisions

  • Tribal members, scientists, staff or volunteers at community science organizations, and community members working on water related questions or issues

  • Aspiring academics and budding subject matter experts

  • Water and data enthusiasts!

The West Hub is a proud partner of the symposium and the fifth California Water Data Challenge. 

National Science Foundation (NSF) Research Innovation Engines

June 30, 2022

NSF released a Regional Innovation Engines (RIE) solicitation through the new Technology, Innovation, and Partnerships (TIP) Directorate. RIEs will receive up to $160 million in funding to "support the development of diverse regional coalitions to engage in use-inspired research and development, translation of innovation to society, and workforce development — with the goal of growing and sustaining regional innovation ecosystems throughout the U.S." RIE concept outlines are due on June 30.

Learn more about RIEs at the NSF-hosted webinar series, which began on May 17. 

The West Hub welcomes requests for collaboration from our community. Reach out and let us know how we can work together and best support you on this solicitation.

Women in Data Science (WiDS) Datathon Excellence in Research Award (Phase II)

March 8-June 30, 2022

The Excellence in Research Award (Phase II) is open from March 8 - June 30, 2022. Participants in Phase II will have the opportunity to choose to explore one dataset among several, spanning sectors including healthcare, energy, and environmental protection. Participants will also have opportunities to take deeper dives into their dataset and tackle a range of impactful real-world tasks. Teams will submit a research report at the end of Phase II.

SMART-DART: Supporting Minority and Regional Training in Data & AI for Researchers of Tomorrow: Health Equity Cohort 

Applications Due July 1, 2022

The South Big Data Hub will join CODATA-RDA, AIM-AHEAD Southeast Hub at Morehouse School of Medicine, and Microsoft Research to host a 10-week Researcher Data Science Training through a mix of virtual and in-person instruction. This will be the first CODATA-RDA School run in the United States and research teams from universities with the AIM-AHEAD Southeast Hub, the South Hub DataUp program and their expanded network would be invited to apply. The SMART-DART: Health Equity Cohort will focus on growing the competence of Health Equity researchers in accessing, analyzing, visualizing, and publishing data. It is open to participants from minority serving institutions (MSIs), described in eligibility below. This activity will cover topics on principles and practice of Open Science, research data management and curation, use of a range of research compute infrastructures, large scale analysis, statistics, visualization and modeling techniques, automation and scripting. Apply by July 1, 2022.

Request for Information on Advancing Privacy-Enhanced Technologies 

Comments Due July 8, 2022

The Office of Science and Technology Policy (OSTP)—on behalf of the Fast Track Action Committee on Advancing Privacy-Preserving Data Sharing and Analytics of the Subcommittee on Networking and Information Technology Research and Development (NITRD) of the National Science and Technology Council, the National Artificial Intelligence Initiative Office, and the NITRD National Coordination Office—requests public comments to help inform development of a national strategy on privacy-preserving data sharing and analytics, along with associated policy initiatives. The national strategy will put forth a vision for responsibly harnessing privacy-preserving data sharing and analytics to benefit individuals and society. It will also propose actions from research investments to training and education initiatives, to the development of standards, policy, and regulations needed to achieve that vision. Interested persons and organizations are invited to submit comments on or before 5:00 p.m. ET on Friday, July 8.

Pilot Datathon for Women of Color

Pre-Datathon Instructional Workshops — March 28 - April 22. In preparation for the “First Ever Datathon for Women of Color”, the South Big Data Hub and HerWILL will organize eight Data Science Basic workshops on Machine Learning, Databases, Data Scrubbing, and Data Science Opportunities with some of the top industry leaders in innovation, business, and technology from local, national, and international arenas. The full list of workshops and instructors have been included below. The pre-datathon workshops are open to anyone. Learn more here

  • Motivation + Why / Technical Support + Set Up | March 28 — Farhana Hasan & Tanzeem Haque

  • Introduction into Data & Databases | April 1 — Tanzeem Haque

  • Statistics / Descriptive Analysis, Part 1 | April 4 — Dr. Edda Kloppmann

  • Statistics / Descriptive Analysis, Part 2 | April 8 — Dr. Edda Kloppmann

  • Overview of Data Science Methods | April 11 — Tanzeem Haque

  • Machine Learning, Part 1 | April 15 — Dr. Edda Kloppmann & Tanzeem Haque

  • Machine Learning, Part 2 | April 18 — Saqib Hasan

  • Evaluation & Validation | April 22 — Karolina Worf

Pilot Datathon for Women of Color — April 23 - 25. The South Big Data Hub will join HerWILL (Women Inspired in Life and Leadership) for the “First Ever Datathon for Women of Color,” a competition preceded by four weeks of Data Science Basic workshops on Machine Learning, Databases, Data Scrubbing, and Data Science Opportunities with some of the top industry leaders in innovation, business, and technology from local, national, and international arenas. Participants will have the opportunity to participate in a data science basics workshop, a datathon, and an awards ceremony. Learn more here.

NCDS Lunch & Learn: How to Be An Antiracist Researcher

April 7, 2022, at 9:00 a.m. PT (12:00 p.m. PT)

Antiracist researchers combat inequality and racism by conceptualizing, implementing, and disseminating research that dismantles racism, oppression, discrimination, and structural inequalities. This presentation offers participants an opportunity to learn how to engage in antiracist research by presenting a counter-narrative to the traditional conceptualization and implementation of research with Black, Indigenous, and People of Color (BIPOC). During the session, panelists will define antiracist research, offer unique principles for conducting antiracist research, present challenges the antiracist researcher will encounter, and offer practical recommendations. 

Carpentries Instructor Training 


March 21-24, 2022, from 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. Preference will be given 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?


Preference will be given 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 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 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.

There are a few remaining slots, so APPLY NOW if interested. Each team member should complete the application form.

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.

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

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.

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).