GPU Computing and Programming on Expanse
October 26
This webinar takes place October 26, at 11am PT. It will provide a brief introduction to massively parallel computing with graphics processing units (GPUs) on the San Diego Supercomputer Center's Expanse supercomputer. The use of GPUs is popular across all scientific domains both for traditional simulations and AI applications, since GPUs can significantly accelerate time to solution for many data parallel computational tasks. Participants will be introduced to GPU programming and learn how to access Expanse GPU nodes and launch GPU jobs on Expanse. Register here.
Women in Statistics and Data Science Conference
October 25-27
The American Statistical Association invites you to participate in the 2023 Women in Statistics and Data Science (WSDS) Conference in Bellevue, Washington, October 25–27. Register to join other professionals and students from academia, industry, and the government working in statistics and data science at WSDS.
GO FAIR US Call for data stewards, FAIR enthusiasts, and others
October 22 Deadline
Call for data stewards, FAIR enthusiasts, and others in the GO FAIR US community, especially early career researchers, to join us in San Francisco for the American Geophysical Union (AGU). GO FAIR US will be part of the Open Science pavilion. Participants will meet with the AGU community in our booth to discuss FAIR and related open science topics. The AGU Annual Meeting 2023 takes place in San Francisco, CA, De3c 11-15, 2023.
To apply, please complete this application form by Sunday, October 22nd. Feel free to forward this application to others in the US FAIR community, especially data stewards and early career researchers that may be interested!
Data Science Implementation in Schools
October 18
Join Data Science for Everyone (DS4E) on October 18 at 1pm PT for the virtual Data Science For Your School or District: Implementation Spotlight. Register for this event, which will explore how real-world schools and districts are implementing engaging data science opportunities.
Midwest Big Data Innovation Hub Collaboration Cafe
October 18
The Midwest Hub's Collaboration Cafe is a monthly webinar open to all that is focused on building a community of data science researchers in the Midwest and beyond to explore funding opportunities and develop proposals. The next webinar happens on October 18 at 1pm PT. It will focus on cyberinfrastructure workforce development and the National Science Foundation's Strengthening the Cyberinfrastructure Professionals Ecosystem (SCIPE) solicitation. Register here.
Call for Applications: NASEM Mirzayan Fellowship
October 16 Deadline
Applications are due on October 16 for the 2024 Christine Mirzayan Science and Technology Policy Graduate Fellowship Program. Fellows will spend 12 weeks at the National Academies of Science, Engineering, and Medicine (NASEM) in Spring 2024 learning about science and technology policy and the role that scientists and engineers play in advising the nation.
Call for Applications: SEEKCommons Fellowship
October 15 Deadline
Apply by October 15 for the SEEKCommons Fellowship. Funded by the National Science Foundation and run by partners at the University of Notre Dame, the Open Environmental Data Project, and the HDF Group, the fellowship aims to bring graduate students, post-doctoral researchers, and professionals from community-based organizations with new perspectives to socio-environmental research with open technologies. The fellowship is designed to encourage new integrative practices involving environmental and climate action research with Open Science practices, as well as to provide a space for Fellows and network members to connect on research issues, challenges, and solutions, and put into practice SEEKCommons network resources.
Call for Proposals: WaterSciCon 2024
October 11
The Water Science Conference 2024 (WaterSciCon24) will be held June 23-28 in St. Paul, MN. WaterSciCon brings the water community together every two years to share research, collaborate, and plan for the future. Co-hosted by the American Geophysical Union (AGU) and the Consortium of Universities for the Advancement of Hydrologic Sciences (CUAHSI), the conference includes engineering, urban planning, social science, and affiliated science communities. Submit proposals by October 11.
COVID Info Commons Webinar
October 10
Join the COVID Information Commons (CIC) on October 10 at 12:30pm PT for a Research Lightning Talks Webinar. During these events, COVID-19 researchers share their findings and answer questions from the community to enable researcher collaboration. In the October 2023 webinar, we will hear from four NSF and NIH-funded researchers! Hear their insights on COVID's impacts on the supply chain, reformed quarantine policies, and more!
Call for Applications: Eric and Wendy Schmidt in AI in Science Postdoctoral Fellowship
October 7
Applications are open for the prestigious Schmidt AI in Science Postdoc Fellowship programs at UC San Diego (deadline extended to October 7), the University of Michigan (priority deadline on November 30), and the University of Chicago (review of applications begins on November 1).
Data Science Training Program to Advance Educational Research and Practice
October 7 Deadline
The Innovation Science for Education Analytics (ISEA) training program will launch in January 2024 with funding from the Institute of Education Science. This initiative is a collaboration between the University of Washington (UW) College of Education, UW eScience Institute, and faculty from other institutions, including the University of Oregon and the University of Maryland. ISEA seeks to advance computational and analytic capacity in K-12 education. The program will recruit a cohort of 15-20 fellows each year with the goal of developing a new pool of talented individuals who have integrated expertise across engineering, statistics, and K-12 education. Apply by October 7.
Science Gateways Annual Conference
October 6 Deadline
Join Science Gateways 2023 in Pittsburgh, PA, October 30-November 1. The conference offers gateway developers and users an opportunity to connect with and learn from colleagues with diverse experiences, approaches, and academic interests. For regular and student attendee rates, register by October 6. On-site registration will also be available.
Call for Papers: NeurIPS 2023 Workshop on Socially Responsible Language Modeling Research
September 29 Deadline
The inaugural Socially Responsible Language Modeling Research (SoLaR) workshop will be held during NeurIPS 2023, which takes place in New Orleans from December 10-16. SoLAR is an interdisciplinary gathering that aims to foster responsible and ethical research in the field of language modeling. The workshop brings together experts and practitioners from various domains and academic fields with a shared commitment to promoting fairness, equity, accountability, transparency, and safety in language modeling research. Paper submissions for the SoLaR workshop are due by September 29.
Trusted CI Webinar Series
September 25
The Trusted CI Webinar Series provides readily available cybersecurity services tailored to the NSF science community. On September 25, at 8am PT, the series will feature a presentation by Stephanie Forrest and Ni Trieu titled Improving the Privacy and Security of Data for Wastewater-based Epidemiology.
INCF Neuroinformatics Assembly
September 18-20
The virtual International Neuroinformatics Coordinating Facility (INCF) Neuroinformatics Assembly 2023 will run from September 18-20. The event provides a venue for neuroscience standards developers, infrastructure providers, and software developers to interact with the research community to share the latest advancements. This year's theme is Transparency in FAIR Neuroinformatics.
Science Gateways Faculty Hackathon 2023
September 15 Deadline
FacultyHack@Gateway2023 takes place virtually from October 19-22. Faculty teams will adapt High-Performance Computing (HPC) tools for use in their courses. They will leave with "ready-to-go" course outlines, supporting data, and identified resources. Each team will be assigned a technical mentor to help with this process. Applications are due by Friday, September 15.
CSCW Workshop on User Engagement in AI
September 15 Deadline
The Supporting User Engagement in Testing, Auditing, and Contesting AI workshop will bring together researchers and practitioners from academia, industry, and non-profit organizations on October 15. Coinciding with the 26th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2023), the one-day event aims to orient the future of user engagement in building more responsible AI. To participate, you must submit a statement of interest by September 15.
Women in Data Science Global Virtual Conference
September 14
Women in Data Science (WiDS) Worldwide is a global movement dedicated to empowering and elevating women in data science. The virtual 2023 WiDS Worldwide Conference will highlight speakers from around the globe working in areas ranging from health to sustainability and ChatGPT to aeronautics. Register here for this free event, which runs from 9am-2pm PT on September 14.
Water Data Forum Webinar
September 12
Join the Midwest Big Data Innovation Hub, the Cleveland Water Alliance, and the Water Environment Federation on September 12, at 10am PT, for the Digital Twin Readiness Guide: The Path to Implementation webinar. This event is part of the Water Data Forum, a series of interactive web sessions that engage cross-sector experts in an exploration of utility, industry, and research approaches to collecting, managing, and measuring water data for impact. Register here.
Science Gateways Funding Sustainability Training
September 8 Deadline
The Jumpstart Your Sustainability Plan mini-course from Science Gateways provides an opportunity for research professionals, PIs of research and teaching-focused gateways, and projects teams to learn about developing a project sustainability strategy. This free virtual course will run from September 12-14. Applications are due by September 8.
South Hub Data Science Education & Workforce Working Group
September 8
Join the South Hub's next Data Science Education & Workforce Working Group meeting on September 8 at 8am PT. This is an open monthly professional working group for data science educators and program leaders.
Data Sharing and Cyberinfrastructure Working
September 8
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 discuss data management, analytics tools and frameworks, and the use of data science to solve real-world problems. Join the next working group meeting on September 8, from 10-11am PT.
California Water Data Summit
September 7-8
The CA Water Data Summit brings together water managers, researchers, innovators, and policymakers to share insights and best practices on how to use data to address the complex challenges facing the water sector. Hosted by the California Data Collaborative, the summit will be hosted in person at Stanford University in Palo Alto, CA, on September 7 and 8. Register here.
DataDive Info Session
September 7
DataKind engages pro-bono data scientists and leading social change organizations to work on projects that address critical humanitarian problems. The organization will host a virtual DataDive from September 14-17 that brings together more than five hundred data scientists from all over the world to unearth data insights alongside the International Monetary Fund’s climate and gender teams. Learn more at the Countdown to the Virtual DataDive Event on September 7, from 12-1pm PT.
AGU Student Visualization Competition
September 7 Deadline
The AGU Michael H. Freilich Student Visualization Competition provides an opportunity for students to demonstrate creative ways to visualize data and present complex problems in the Earth, space, and related scientific disciplines. Entries are due by September 7.
Rising Stars in Data Science Info Session
September 6 Deadline
The Rising Stars in Data Science workshop takes place from November 13-14. Hosted by the University of Chicago in collaboration with UC San Diego's EnCORE and Halicioğlu Data Science Institute, the event focuses on supporting the careers of exceptional data scientists during their transition to postdoctoral scholar, research scientist, industry research position, or tenure track position. The workshop will also showcase data science initiatives at UChicago and UC San Diego. Register for the info session on September 6, from 12-1pm PT, to learn more about Rising Stars in Data Science.
Hispanic Association of Colleges and Universities (HACU) Emerging Leaders' Summit
August 27 Deadline
HACU is accepting applications from undergraduate and graduate students to participate in a virtual Emerging Leaders’ Summit on September 8, from 9:30am-3:30pm MT, in partnership with The University of Arizona. Students enrolled at HACU-member institutions in the Tucson area are encouraged to apply. The one-day Summit will include career development workshops designed for students of all majors with a minimum 2.75 GPA. Workshop topics will focus on career opportunities, tips for resume writing, interviewing and securing internships. Students will also have a chance to meet with corporate and federal employers in attendance. Apply by Sunday, August 27.
Strategies for Machine Learning Reproducibility Webinar
August 22
This AI reproducibility webinar series presented by FARR will kickoff with a focus on ML reproducibility. Dr. Odd Erik Gundersen and Kevin Coakley will highlight the sources that can lead to unintentional irreproducibility. In this webinar, you will learn valuable insights and practical ideas to help achieve reproducibility in machine learning research. Additionally, you will gain a solid grasp of the common pitfalls that can undermine the reproducibility of your research. Join us on August 22nd at 8AM PT.
Odd Erik Gundersen is an adjunct associate professor at the Norwegian University of Science and Technology (NTNU) in Trondheim, Norway, where he teaches courses and supervises master students in AI. He received his PhD from the Norwegian University of Science and Technology. Gundersen has applied AI in the industry, mostly for startups, since 2006. He has conducted several analyses of reproducibility in the artificial intelligence and machine learning literature, and has developed guidelines for reproducibility in data science. Currently, he investigates how AI can be applied in the renewable energy sector and for driver training.
Kevin Coakley is a Senior Systems and Cloud Integration Engineer at the San Diego Supercomputer Center, UC San Diego where he supports the cloud infrastructure for multiple projects. Kevin’s research interest is in Computer Science where he focuses on reproducibility in Machine Learning.
WiCyS Virtual Career Fair
August 16
The WiCyS Virtual Career Fair will be held on Wednesday, August 16, at 9am PT. Interact with WiCyS strategic partners and learn about future career opportunities. Members can chat at virtual booths with different businesses that devote time and attention to hiring women in cybersecurity. Whether you're seeking a part-time or full-time job, aiming for entry-level or senior positions, or interested in internships, participants should update their profiles and upload their resumes to the Job Board++. Members can update their profile and resume here. Not a WiCyS Member? Join now and gain access to the Virtual Career Fair and many other WiCyS member benefits.
Generattive AI Skills Challenge
August 15 Deadline
With support from Microsoft, data.org is launching the Generative AI Skills Challenge, a global grant for organizations to help train and upskill teams on generative AI to drive social impact. With a particular focus on fair and community-led integration in low- and middle-income countries and contexts (LMICs), the Challenge aims to accelerate digital inclusion, socioeconomic mobility, and skills advancement and acquisition for workers from historically marginalized populations around the world. Apply by Tuesday, August 15.
SMART-DART: Health, Climate, and Social Equity Cohort
August 15 Deadline
Apply for the Supporting Minority and Regional Training in Data & AI for Researchers of Tomorrow (SMART-DART) Equity Cohort by Tuesday, August 15. The South Hub will join CODATA-RDA, Microsoft, and AIM-AHEAD Southeast Hub at Morehouse School of Medicine to host this 10-week training through a mix of virtual and in-person instruction. The program aims to foster institutional capacity building as well as individual researcher capacity in research data science at minority-led, minority-serving, and primarily teaching institutions, such as liberal arts colleges and community colleges.
2023 CIC Student Paper Challenge
August 14 Deadline
The COVID Information Commons (CIC) invites students from higher education institutions around the world to leverage the resources available from the CIC to synthesize a paper for the 2023 CIC Student Paper Challenge. Papers should consider research, trends, or topics that could contribute to COVID recovery, health and scientific insights, future discoveries, and innovations. Student submissions are due by Monday, August 14.
New Voices in Sciences, Engineering, and Medicine
August 10 Deadline
New Voices in Sciences, Engineering, and Medicine is a cohort-based leadership program that promotes collaboration among outstanding early- and mid-career scientists, engineers, and medical professionals during a two-year term of service. The program aims to expand the diversity of expertise engaged in the convening and advisory functions of the National Academies while building a network of emerging U.S. leaders to address national and global challenges. Applications are due by Thursday, August 10.
Data Matters: Data Science Short Course Series
August 7-11
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 gives students the chance to learn about a wide range of topics in data science, analytics, visualization, curation, and more from expert instructors. Data Matters is sponsored by the Odum Institute for Research in Social Science at UNC-Chapel Hill, the National Consortium for Data Science, and RENCI. Registration is now open for the traditional Data Matters series, which will be held via Zoom from August 7-11. Register here.
NSDC 2023 Data Science Symposium
July 31
The NEBDHub and National Student Data Corps (NSDC) invite undergraduate, graduate, and recently-graduated students to join the 2023 Data Science Symposium (DSS)! Participants will discover the best practices for academic research, connect with other data science students, and expand their data science knowledge and community. Learn more on the DSS website. Student submissions are due by Monday, July 31.
2023 CIC Student Paper Challenge
July 31
The COVID Information Commons (CIC) invites students from higher education institutions around the world to leverage the resources available from the CIC to synthesize a paper for the 2023 CIC Student Paper Challenge. Papers should consider research, trends, or topics that could contribute to COVID recovery, health and scientific insights, future discoveries, and innovations. Student submissions are due by Monday, July 31.
Request for Information on Developing a Roadmap for the Directorate for Technology, Innovation, and Partnerships at the National Science Foundation
July 27
The National Science Foundation (NSF) requests input from the full range of institutions and organizations across all sectors—industry, academia, non-profits, government, venture capital, and others—to inform the development of a roadmap for its newly-established Technology, Innovation, and Partnerships (TIP) Directorate, in accordance with the CHIPS and Science Act of 2022. This legislation tasks the TIP Directorate to develop a roadmap to guide investment decisions in use-inspired and translational research over a 3-year time frame, working towards the goal of advancing U.S. competitiveness in the identified key technology focus areas and addressing the identified societal, national, and geostrategic challenges. Investments would be in use-inspired research, translation of research results to impact, and education, training, and development of talent in the key technology areas and societal, national, and geostrategic challenges. Interested persons or organizations are invited to submit comments on or before Thursday, July 27.
PEARC23 Conference
July 23-27
PEARC23 has a goal of amplifying insights important to the computational science community. 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.
Upcoming opportunities and deadlines include:
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May 12: Deadline for Panel and Birds of a Feather submissions
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Email pearc23-techprogram@pearc.org to join the program committee as a reviewer
Scientific Computing with Python (SciPy) 2023
July 10-16
The 22nd annual SciPy conference will be held in Austin, Texas at the AT&T Center, July 10-16, 2023. SciPy brings together attendees from industry, academia, and government to showcase their latest projects, learn from skilled users and developers, and collaborate on code development.
MetroLab Summit
June 26-28
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.
West Hub Panels at the 2023 National Workshop on Data Science Education
June 22
The sixth annual National Workshop on Data Science Education will take place virtually and in person at UC Berkeley from June 20-23. UC Berkeley's Division of Computing, Data Science, and Society is leading the event with support from Microsoft and the West Hub. A diverse range of academic institutions from around the nation will be represented at the workshop, including four-year universities and community colleges. The workshop is for educators at all levels who are interested in data science education. Registration has closed for in-person attendance, but registration for virtual attendance remains open.
The West Hub organized two panels as part of this year’s workshop. Both will be held on Thursday, June 22. The first panel–Project Based Learning Case Studies–will provide an in-depth look at projects running at the University of Pittsburgh and UC San Diego (DataJam), UC Berkeley (Data Science Discovery Program), and the University of Washington (Data Science for Social Good). The second panel–National Pipeline for Project-Based Learning–will describe our plan to leverage the strengths of these existing projects to create a connected data science learning pathway. This pathway will offer an opportunity for students to be engaged in experiential data science learning as they progress from high school to community college/undergrad to graduate school, with a goal of preparing them for a successful career built on a solid understanding of data science and data literacy.
Water Data Forum Webinar
June 16
Join the Midwest Hub on Friday, June 16, from 10-11am PT, for a Water Data Forum Webinar focused on Wastewater Surveillance for Public Health. Max Herzog from the Cleveland Water Alliance will moderate the discussion. The event will feature the following panelists: Amy Kirby, Centers for Disease Control and Prevention (CDC); Anna Mehrotra, Water Environment Federation (WEF); Raul Gonzalez, Hampton Roads Sanitation District; and Nathan LaCross, Utah Department of Health and Human Services.
Data Sharing and Cyberinfrastructure Working Group
June 9
The Data Sharing and Cyberinfrastructure Working Group is a collaboration across all four of the Big Data Innovation Hubs that brings together data scientists and cyberinfrastructure professionals to learn about topics of common interest. Join the next working group meeting on Friday, June 9, from 10-11am PT.
National Science Foundation's Public Access and Open Science Working Group: Listen and Learn Series
June 2, 16, and 29
With a newly updated Public Access Plan, NSF's Public Access and Open Science Working Group has launched a Listen and Learn Series to help inform its implementation plan. Researchers and grant administrations are encouraged to register for upcoming webinars:
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Friday, June 2, from 10-11am PT for Social Behavioral and Economic Sciences and STEM Education communities.
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Friday, June 16, from 10-11am PT for the Geosciences and Biological Sciences communities.
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Thursday, June 29, from 10-11am PT for the Engineering and Computer and Information Sciences and Engineering communities.
Data Education & Workforce Working Group
June 2
Join the South Hub's next Data Science Education & Workforce Working Group meeting on Friday, June 2, at 8am PT. West Hub collaborator Judy Cameron, Director of Pittsburgh DataWorks, will give a talk titled Using Big Data for Community Good. Pittsburgh DataWorks is an educational nonprofit that developed and has run DataJam since 2013; it is currently being expanded by the West Hub's UCSD team. Learn more about the meeting here. Questions? Contact carolyn.young@gtri.gatech.edu.
Research Innovation & Collaboration Exchange (RICE)
May 31
The East-West Center (EWC) will provide RICE Fellowships for scholars, policy experts, non-government organization / civil society organization (NGO/CSO) members, researchers, or journalists from the Indo-Pacific Region, including the United States, to undertake research or other projects on topics related to the domestic/international governance, environmental issues, political economy issues around trade, technology and integration, and geopolitics in the Indo-Pacific. RICE Fellows will undertake research or other projects at the EWC offices in Honolulu or Washington, DC. Applications are due on Wednesday, May 31.
GO FAIR US: Toward a National Strategy for Persistent Identifiers in the United States
May 24
GO FAIR US encourages and supports recent conversations around national persistent identifier (PID) strategies, particularly in the United States. Join this ongoing discussion during a webinar—Identify and track your research projects with the Research Activity Identifier (RAiD)—taking place on Wednesday, May 24, at 1pm PT. Register here to join the conversation.
National Science Data Fabric (NSDF) Webinar: Distinguished Speaker - Dr. Ana Persic, UNESCO
May 23
The United Nations Educational, Scientific, and Cultural Organization (UNESCO) led a consultative and collaborative process to develop an international standard-setting instrument on open science in the form of a UNESCO Recommendation on Open Science, which was adopted by 193 counties in November 2021. This talk will highlight the components of the Recommendation, including key definitions, values and guiding principles, and areas of action. With the advent in the US of the Nelson memo and OSTP naming 2023 as the year of open science, it is timely to refer to UNESCO’s efforts which also include an open science toolkit and checklists to support the implementation of open science worldwide.
Join us on Tuesday, May 23rd at 8am PT/11am ET for the distinguished guest speaker, Dr Ana Persic's talk titled, The Pathway to Implementing the UNESCO Recommendation on Open Science. Register here.
Bio-IT World 2023 Hackathon
May 15-16
Bio-IT World is proud to bring together innovative data scientists and developers from across the industry to solve real-world data challenges using the principles of Open Source & FAIR Data. Over the years, the Bio-IT World Hackathon has delivered a new level of collaboration to the annual Bio-IT World Conference & Expo in Boston. The 2022 FAIR Data Hackathon, co-facilitated with leaders from the NIH and NVIDIA, brought together 4 teams and over 75 participants to solve real data challenges. Back again in 2023, the fifth annual Bio-IT Hackathon will continue in the tradition of uniting life science and IT teams to tackle actual bioinformatics projects with maximum impact potential. Projects at the event will feature either Open Source tools or some or all aspects of making data findable, accessible, interoperable, and reusable. All projects will be broadly applicable to the data science community. The Hackathon will take place from May 15-16, with each team lead participating in a “Report Out” presentation during the FAIR Data for Genomic Applications conference track.The 2023 Bio-IT World Conference and Expo will take place from May 16-18 in person in Boston, MA and virtually. Submit a project proposal by Tuesday, March 21. Register to participate here.
Session proposal applications:
ADSA Annual Meeting
May 10 deadline
The Academic Data Science Alliance (ADSA) Annual Meeting convenes data science methodologists and domain researchers from all disciplines and career stages to share breakthroughs and state-of-the-art approaches in data science research and education, with a strong emphasis on responsible data science. ADSA encourages new, untested ideas to promote brainstorming for innovation, collaborative feedback, and engaging discussions. One focus of this meeting is building new collaborations, which is facilitated through semi-structured and themed networking sessions.
Each year, ADSA aims to leverage local strengths to focus the meeting on specific domains. The 2023 meeting takes place at the University of Texas at San Antonio from October 24-26, 2023. ADSA will highlight the strong presence of biosciences/healthcare and the arts (especially cultural and public) in San Antonio for a special theme: Health, Well-being, and the Arts. The deadline for session proposals has been extended until Wednesday, May 10.
NSDF Distinguished Speaker Series
March 23
Join the National Science Data Fabric (NSDF) on March 23, 10:30am MT for their upcoming webinar on Large (Hadron Collider) and Big (Data Science). Dr. Federica Legger, an associate researcher at the National Institute for Nuclear Physics will be discussing the challenges of designing, deploying, and operating a distributed and heterogeneous computing infrastructure. During this webinar, the audience will learn how machine learning and artificial intelligence techniques can be leveraged to address complex challenges, from data taking to data processing to data analysis.
Transboundary Groundwater Resilience All-Virtual Interactive Event (NYWW)
March 20
The Transboundary Groundwater Resilience Network is excited to announce its participation in New York Water Week (NYWW) to contribute to defining and solving water challenges worldwide. NYWW is comprised of many community-led events focused on helping solve global water challenges and bringing together researchers from across the globe who are dedicated to improving water management. NYWW is being held alongside UN Water 2023, the first United Nations dedicated water conference since 1977, which is committed to making a difference within global communities to solve the water and sanitation crisis.
This Call to Action event will make progress on the Connecting the World for Transboundary Groundwater Resilience (TGR) UN Water Action Commitment. Presentations on case studies, data analyses, network analyses, and simulation modeling methods will provide a basis for group discussion. Participants are encouraged to share best practices and priorities from their local regions and fields of study. This event will focus on data, systems, networks, and community-based approaches to foster Transboundary Groundwater Resilience.
Taking place on Monday, March 20, 2023, from 11am - 1pm ET/8am - 10am PT this event will feature several speakers spanning multiple water disciplines, including Dr. Sam Fernald, director of the New Mexico Water Resources Research Institute, Dr. Ilya Zaslavsky, director of Spatial Information Systems Laboratory, San Diego Supercomputer Center, and others to provide a comprehensive view on the current perspectives on transboundary groundwater resilience. This event will also include an interactive community participation session focused on audience needs and priorities related to transboundary groundwater research and management.
Women in Cybersecurity (WiCyS) 2023
March 16-18
The WiCyS Conference is the premier event to recruit, retain, and advance women in cybersecurity. WiCyS brings together women in cybersecurity from academia, research, government, and industry. The 10th Annual WiCyS Conference will be held from March 16-18 at the Gaylord Rockies Resort and Convention Center in Denver, Colorado. Registration opens on February 6. Learn more here.
Data Matters™ Spring Ahead
March 13-16
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.
Water Data Forum Session: Cybersecurity vs. Interoperability
March 9
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
March 8
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
March 7
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
March 3
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
March 3
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
March 3
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 info@metrolabnetwork.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
February 15
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
February 10-11
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)
February 13
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
February 9
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 pearc23-techprogram@pearc.org.
Other exciting PEARC23 opportunities. Visit the website for complete details:
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Join the program committee as a reviewer. Email pearc23-techprogram@pearc.org.
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March 3: Full paper submissions due.
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April 21: Short Paper, Poster, and Co-Located Event submissions due.
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May 12: Panel and Birds of a Feather submissions due.
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May 26: Viz Showcase submissions due.
Data Science and Climate Change Webinar
February 3
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
February 3
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
February 3
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
February 1
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
January 27
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
January 20
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
January 6
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
January 6
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
January 19
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
December 5
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, m.palombini@ieee.org.
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.
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.
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.
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 jcburke@uw.edu.
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:
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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.
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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.
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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.
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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.
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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:
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Increase your capacity to take on data-centric projects, at any level of complexity
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Collaborate with UC Berkeley’s world-class data science students
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Create cutting edge machine learning, neural network, and AI algorithms to get new insights and tangible results from your data science projects
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Rely on an infrastructure of technical and project management support for your student team
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Join our network of professors, graduate and undergraduate students, and past Project Partners such as NASA, UCSF, Creative Commons, BART and more.
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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 ds-discovery@berkeley.edu.
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 ds-help@berkeley.edu.
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?
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Managers and staff at agencies faced with water related questions, issues, or policy or regulatory decisions
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Tribal members, scientists, staff or volunteers at community science organizations, and community members working on water related questions or issues
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Aspiring academics and budding subject matter experts
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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.
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Motivation + Why / Technical Support + Set Up | March 28 — Farhana Hasan & Tanzeem Haque
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Introduction into Data & Databases | April 1 — Tanzeem Haque
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Statistics / Descriptive Analysis, Part 1 | April 4 — Dr. Edda Kloppmann
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Statistics / Descriptive Analysis, Part 2 | April 8 — Dr. Edda Kloppmann
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Overview of Data Science Methods | April 11 — Tanzeem Haque
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Machine Learning, Part 1 | April 15 — Dr. Edda Kloppmann & Tanzeem Haque
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Machine Learning, Part 2 | April 18 — Saqib Hasan
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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 info@westbigdatahub.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 info@westbigdatahub.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).