Water Data Forum Session: Cybersecurity vs. Interoperability
The Water Data Forum is a virtual webinar series presented by the Cleveland Water Alliance, Water Environment Federation, and Midwest Big Data Innovation Hub. These interactive web sessions engage a cross-sector of experts in an exploration of utility, private sector, and research approaches to collecting, managing, and measuring water data for impact.
Participants can expect to learn:
* Examples of gathering data to inform business intelligence systems while maintaining a high level of cybersecurity.
* Overcoming cybersecurity challenges in IT and OT projects that involve interoperability of systems and applications.
* Guidelines and resources for managing risk.
Join panelists Dr. Sunil Sinha, Virginia Tech; Zonetta E. English, Louisville/Jefferson County Metropolitan Sewer District; and Dr. Zdenko (Cello) Vitasovic, 9D Analytics on March 9, 10-11am PT/12-1pm CT. Register here.
Women in Data Science (WiDS) Conference 2023
You are invited to the WiDS 2023 Conference taking place in person at Stanford University and via livestream on Wednesday, March 8. This technical conference will feature outstanding women discussing their work in data science and related fields in a wide variety of research domains. Everyone is welcome and encouraged to attend. Join Michela Taufer as she moderates the conference's panel on Data Democratization: a powerful means for creating sustainable & equitable communities. Register for the conference here.
Data Science Ethos Announcement Webinar
With the help of an interdisciplinary team of social scientists, humanists, and data scientists, the Academic Data Science Alliance (ADSA) created a tool to fuse critical elements of the data science research process with an ethical framework for examining the research—the Data Science Ethos. This tool provides many of the elements of data science ethics education that have been called for in recent years. The tool aims to operationalize ethics, instead of merely suggesting ethical principles—a need that we heard clearly from the data science community in recent years. Join ADSA for a webinar on Tuesday, March 7, at 11am PT to learn about the Data Science Ethos, how you might use it for teaching and training, and how you can contribute case studies and feedback. Register here.
Data Sharing and Cyberinfrastructure Working Group
The Data Sharing and Cyberinfrastructure Working Group is a collaboration across all four of the Big Data Innovation Hubs. The working group brings together data scientists and cyberinfrastructure professionals to learn about topics of common interest. Join us on Friday, March 3, from 10-11am PT, for a presentation from Drs. Kevin Silverstein and Phil Pardey of the University of Minnesota (UMN). They will provide an update on what UMN is doing to better support diverse types of agricultural data and how they are working to up-skill members of our ag communities in areas related to CI.
Data in Crises: Responding to the Earthquakes in Turkey and Syria
Join CrisisReady and the Harvard Data Science Initiative on Friday, March 3, from 9-10am PT, for a hybrid in-person and virtual event. They will convene a group of experts to discuss how data can be used to attend to both the immediate and long-term impacts of the earthquakes in Turkey and Syria. Representatives from the Syrian American Medical Society, Humanitarian OpenStreet Map in Turkey, and Yale University will join the discussion. Register here.
Education and Data Science Workforce Group
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, March 3, at 8am PT.
Call for Panels: MetroLab Summit
Submissions due March 1
The in-person MetroLab Summit is the annual opportunity for the MetroLab community to connect with the cities and universities on the front lines of civic innovation. The summit will take place from June 26-28, 2023, at Portland State University.
The summit agenda will include an afternoon with breakout sessions. Each breakout room will have one of the specific topics (see below) throughout the afternoon. MetroLab invites you to submit a panel topic for one one of the breakout sessions. They are looking for projects, ideas, and future collaboration opportunities in one of the four following tracks: 1) Partnership and Community Engagement; 2) Climate and Infrastructure; 3) Data: Using it and Protecting It; and 4) Special Initiatives. If you have any questions regarding panel submissions, please email firstname.lastname@example.org. Submissions are due on Wednesday, March 1.
Call for Applications: Los Alamos National Laboratory's Data Science at Scale Summer School
February 28 Deadline
The Data Science at Scale Summer School (DSSSS) is seeking upper-level undergraduate and graduate students looking for a challenging internship. The DSSSS is a paid summer internship program in the Information Sciences Group (CCS-3) within the Computer, Computational and Statistical Sciences (CCS) Division. The DSSSS brings outstanding students to the laboratory to participate in data-intensive science projects. Particular focus is placed on using big data technologies to gain insights from scientific data. More information on the DSSSS and related opportunities at LANL is available here. The DSS Summer School job ads are IRC115373 and IRC115427; they can be viewed here. Apply by Tuesday, February 28.
Amazon Data Lake Infrastructure Workshop
February 17 and 24
Two experienced AWS solution architects will overview the concepts and practices involved in creating and maintaining a data Lake. Topics include data ingestion from various sources, data migration, designing and managing a Data Lake, and utilizing data stores to integrate with data visualization and manipulation tools like Jupyter and SageMaker. Participants will have the opportunity to gain hands-on experience working with Amazon Data Lakes infrastructure during the lab component of the workshop. Attendees unfamiliar with cloud computing must first complete AWS Cloud Practitioner Essentials. Attend the Amazon Data Lake Infrastructure Workshop on two different dates: February 17 or February 24 from 3:00pm-6:30pm HST. Please contact Mahdi Belcaid for more information. Learn more and register.
Women in Data Science (WiDS) Datathon 2023
February 26 and March 1 Deadlines
The 6th Annual WiDS Datathon launched 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. The competition will be open through Wednesday, March 1, but the deadline to accept the competition rules and finalize team mergers is on Sunday, February 26. Learn more here.
eScience Institute's Data Science for Social Good
Student Applications due February 13, 2023
Project Proposals due February 17, 2023
You are invited to apply for an opportunity to work closely with data science professionals and students to make better use of your data. The University of Washington Data Science for Social Good summer program at the eScience Institute brings together data scientists and domain researchers to work on focused, collaborative projects for societal benefit. The 2023 DSSG summer program will take place from June 12 - August 18, 2023.
The program supports compelling, timely, publicly-relevant projects that are poised to take advantage of tremendous student and professional technical talent and computation resources. If you have an idea for a project that could benefit from access to a team of motivated students, exposure to new data-intensive methods, and guidance in best practices for software development, reproducible science, and human-centered design, then we would love to hear from you.
The Call for Project Proposals is open now through February 17th. The Call for Student Applications is open now through February 13th.
If you would like to discuss your idea before submitting a proposal, please reach out to Program Director Anissa Tanweer.
Data Science Education and Workforce Development in Genomics
Solicitation: NIH Research Experience in Genomic Research for Data Scientists (R25) (PAR-21-075)
Join NIH Program Directors on February 15, 1-2pm PT/4-5pm ET as they discuss the PAR-21-075 solicitation due May 25, 2023. Presentations from Dr. Sandhya Xirasagar | NIH Program Director, National Human Genome Research Institute (NHGRI) Office of Genomic Data Science and Dr. Lucia Hindorff | NIH Program Director, National Human Genome Research Institute (NHGRI) Training, Diversity, and Health Equity Office. Register here.
National Big Data Health Science Conference 2023
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.
UC Love Data Week: FAIR and ML, AI Readiness, and AI Reproducibility (FARR)
Join the FAIR and ML, AI Readiness, and AI Reproducibility (FARR) presentation happening on Monday, February 13, at 3pm PT, as part of UC-Wide Love Data Week. With the emergence of machine learning (ML) usage in research comes greater complexity for data stewards, research facilitators, and researchers. This session will introduce FAIR and ML, AI Readiness with a focus on the role of institutions and data repositories, and AI reproducibility. Participants will be encouraged through interactive, live polls, and open discussion to discuss their challenges, pain points, and interest as it relates to any of the topics. The presentation will be given by Christine Kirkpatrick; she leads the San Diego Supercomputer Center’s (SDSC) Research Data Services division, which manages large-scale infrastructure, networking, and services for research projects of regional and national scope.
UC Love Data Week takes place from February 13-17. All events are free to attend and open to any member of the UC community. Register here.
Join The Carpentries as a Communications Coordinator
The Carpentries is committed to training and fostering an active, inclusive, diverse community of learners and instructors who promote and model the importance of software and data in research. They seek an engaged and collaborative individual who shares this vision for a full-time position as the Communications Coordinator for The Carpentries. As the Communications Coordinator, you will have a broad responsibility to develop and implement a communications strategy to support and engage The Carpentries community. For priority consideration, apply by Thursday, February 9.
Call for Participation: PEARC23 Conference
Submissions due February 3
The ACM PEARC23 Technical Program Committee invites you to submit proposals for the ACM PEARC23 Conference, which will be held from July 23-27, 2023 in Portland, OR. PEARC23 has a goal of amplifying insights important to the computational science community - and an impactful way for you to participate in that goal is to submit a tutorial or workshop where participants can deep dive into the topics that matter. This year’s theme is Computing for the Common Good, which provides a timely chance to showcase how research computing and data science can address issues with broad societal impact in areas such as health, energy, climate, equity, and education.
Tutorial and workshop submissions are due by 11:59 p.m. AOE this Friday, February 3, 2023. Full information for planning your submissions can be found in the Call for Participation, but generally topics consistent with one or more of the three technical tracks (applications and software; systems and system software; workforce development, training, diversity, and education) are of particular interest. Check out some samples of past submissions here. Questions about submitting your materials can be sent to email@example.com.
Other exciting PEARC23 opportunities. Visit the website for complete details:
Join the program committee as a reviewer. Email firstname.lastname@example.org.
March 3: Full paper submissions due.
April 21: Short Paper, Poster, and Co-Located Event submissions due.
May 12: Panel and Birds of a Feather submissions due.
May 26: Viz Showcase submissions due.
Data Science and Climate Change Webinar
Join WiDS Datathon 2023 for the Data Science and Climate Change Webinar on Friday, February 3, at 8am PT. This panel discussion will highlight experts from various domains and institutions to explore how data science can help understand and mitigate the effects of climate change. This webinar is appropriate for audiences of all backgrounds – no prior familiarity with data science is assumed. Register here.
Data Sharing and Cyberinfrastructure Working Group
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, February 3, from 10-11am PT.
Education and Data Science Workforce Group
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, February 3, at 8am PT.
Demystifying Data and Developing Future Leaders Panel Series
The NSF-funded TGR network synergistically connects water, social, data, and systems science to catalyze transboundary groundwater resilience. Join TGR on Wednesday, February 1, from 8-10am PT. The first hour will feature a Demystifying Data to Enable Community Action for Transboundary Groundwater Resilience panel, and a career development panel for students and early career researchers will take place in the second hour. Register here.
Student Research Symposium
The Northeast Big Data Innovation Hub (NEBDHub), National Student Data Corps (NSDC), and COVID Information Commons (CIC) are delighted to invite you to the Inaugural NEBDHub Student Research Symposium. This Symposium will showcase the insightful research done by undergraduate- and graduate-level students who participated in the 2022 NSDC Data Science Symposium, CIC Student Paper Challenge, and Cybersecurity Risk Conference. The event takes place on Friday, January 27, from 12-2pm PT. Register here.
Leveraging Big Health Data to Answer Questions about Program and Policy Effects
This event takes place on Friday, January 20, from 9-10am PT. It is part of the University of Virginia's Foundations of Biomedical Data Science Seminar Series. Dr. Jennifer Ahern, PhD MPH, is Associate Dean for Research and Professor of Epidemiology at University of California, Berkeley, School of Public Health. She will present research on leveraging big health data to understand the impacts of different forms of violence on health and health disparities in California, and the effects of programs and policies that may influence violence. The presentation will include examination of injuries and deaths due to legal intervention among young people, and examination of the effects of gun shows on firearm injuries in the post-implementation period of California’s 1999 gun show legislation.
Data Sharing and Cyberinfrastructure Working Group
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, January 6, from 10-11am PT.
Education and Data Science Workforce Group
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, January 6, at 8am PT.
University of Data Governance and FAIR Data Environments Webinar
The Data Curation Network and GO FAIR US are joining forces to hold a Data Policy Roundtable titled University Data Governance and FAIR Data Environments on Thursday, January 19, from 9-10am PT. With the academic research enterprise changing so rapidly, the broad community of practice around research data is working in a new policy environment to translate, design, and deliver implementation tools and services. This Roundtable will offer leading-edge insights on the evolving research environment for academia. Register for the event here!
2022 Integrative Smart Agriculture Data Workshop
Identify, collaborate, and build consensus for addressing challenges in making sensor data interoperable in specified applications; protecting the collection, storage, and sharing of data (i.e., cybersecurity); and democratizing data for use by researchers, smaller farmers, and other vested stakeholders. The full-day workshop is designed for participants to listen and engage in sharing of ideas, case studies, research, frameworks, or any other insights that will help facilitate a potential solution to the challenges at hand. Attendees will break out into a topic of choice, engage in two-hour working sessions with an expert facilitator, and return with summary and points of action.
Experts will be announced soon. If you are interested in facilitating a topic and/or would like to underwrite the program, write to Maria Palombini, email@example.com.
Water Data Forum Webinar
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.
FAIR Digital Objects Forum Lectures
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.
DataJam Project Proposals Due
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.
The Indigenous Connectivity Summit
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
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
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 firstname.lastname@example.org.
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 email@example.com.
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 firstname.lastname@example.org.
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
THERE ARE A FEW REMAINING SLOTS, SO APPLY NOW IF INTERESTED.
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 email@example.com. 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 firstname.lastname@example.org. 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 https://washington.zoom.us/meeting/register/tJAtd-itqzMuHtQJf1Wct8UelgJORidn6Vez.
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).