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WHOI Data Science Slack, office hour, and monthly Data Science Cafe at AVAST

Got questions about data or coding? Want to discuss a topic related to data science? The whoi-datascience Slack is always open to WHOI staff and students. In 2024 we will host a weekly office hour on Tuesdays at 10am through a Slack channel and monthly on the 3rd Tuesday a Data Science Cafe at the AVAST Social Hub. You can find a Slack invitation and Zoom link on the IS Science & Engineering webpage (internal/VPN). Sponsored by WHOI's Ocean Informatics Working Group, IS, and Data Library & Archives. Please contact or for more information.


Solicitations and Dear Colleague Letters:

NSF Dear Colleague Letter: Using Long-Term Research Associated Data (ULTRA-Data)

  • [Link to DCL] April 23, 2024: "...seeks to stimulate and encourage the use and reuse of data from environmental time series research to improve generalizable understanding in fields including (but not limited to) ecology, organismal evolution/adaptation, geoscience, and oceanography."

NSF Dear Colleague Letter: Innovative Use of Scientific Collections (IUSC)

  • [Link to DCL] March 18, 2024: "Collections of physical samples and resulting data are also a critical long-term archive of biodiversity, climate change, and fluctuations in other Earth systems and can contribute to research towards a sustainable bioeconomy."

NSF Dear Colleague Letter: National Discovery Cloud for Climate Opportunities

  • [Link to DCL] December 1, 2023: "The National Discovery Cloud for Climate (NDC-C) is a National Science Foundation (NSF) initiative to pilot efforts to build an integrated national-scale cyberinfrastructure capable of supporting end-to-end climate research and education... This Dear Colleague Letter expresses the interest of the Office of Advanced Cyberinfrastructure (OAC) in receiving proposals relevant to the NDC-C goals described above to [several] existing programs..."

NSF Dear Colleague Letter: Workshops to Identify Educational Requirements of the Future Ocean Technical Workforce

  • [Link to DCL] July 21, 2023: "The goal of the DCL is to expand technical capacity in the U.S. workforce in high-technology fields through planning that can lead to training programs for the next generation of ocean technicians, data scientists, engineers, and scientists. Proposal topics of high priority include training in ocean instrumentation design, manufacturing and maintenance of marine-related hardware, and ocean data science and data analytics, with an emphasis on the inclusion of researchers, engineers and students from groups that are underrepresented in the marine science, mariner communities, and related fields."
  • [Link to previous, related DCL from March 14, 2022]

NSF Dear Colleague Letter: Availability of Earth Observation Data for NSF-Funded Researchers

  • [Link to DCL] April 26, 2023: "Recent developments in satellite and sensor technology have led to unprecedented advances in the resolution, extent, and frequency of Earth observations... Yet, many of these datasets have previously been unavailable for research purposes because they are generated by commercial providers. This Dear Colleague Letter (DCL) announces the availability of high-quality commercial Earth observation data to NSF-funded researchers at no additional cost through the National Aeronautics and Space Administration (NASA) Commercial SmallSat Data Acquisition (CSDA) Program..."

NSF Dear Colleague Letter: Supporting Open Polar Research Software

  • [Link to DCL] February 8, 2023: "...this Dear Colleague Letter (DCL) is designed to encourage the sustainable development and use of open source software, tools, libraries, and frameworks that are critical for OPP scientific objectives. OPP encourages submission of new proposals and supplemental funding requests which support the opening, documenting, and sharing of open polar research software/code."

NSF Dear Colleague Letter: Advancing Research in the Geosciences Using Artificial Intelligence (AI) and Machine Learning (ML)

  • [Link to DCL] January 20, 2023: "To promote research that benefits from AI/ML and reduces barriers to its use in the geosciences, GEO welcomes proposals incorporating AI/ML methods across its broad range of programs. The geosciences collectively refers to the research supported in the Divisions of Atmosphere and Geospace (AGS), Earth (EAR), and Ocean (OCE) Sciences, and in the Office of Polar Programs (OPP). Proposals in response to this DCL must advance core geosciences program goals and use AI/ML methods toward addressing scientific problems."


Open meeting to discuss a Big Data Collaboratory at WHOI

WHOI's "Vision 2030: Ocean Science for the Global Good" includes an Innovation Accelerator to invest in our staff and facilities, with Places (both physical and virtual) to focus on innovation infrastructure. New investment is sought to establish a "collaboratory" for big data, machine learning, and artificial intelligence.

WHOI's Ocean Informatics Working Group hosted a virtual meeting for WHOI staff and students in May 2021 to initiate discussion of this collaboratory.

Link to meeting summary (access with WHOI Google Drive account), which has links to agenda/slides/jamboard.


WHOI's Data Science Training Camp
Figure from "Enabling long-term oceanographic research: Changing data practices, information management strategies and informatics" (Baker and Chandler, 2008,