WHOI Data Science office hour, Slack, 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, and we open an office-hour channel every Tuesday from 11am to noon. Join us for a Data Science Cafe at the AVAST Social Hub monthly on the 3rd Tuesday, 11am to noon. You can find a Slack invitation and the Zoom link for the Cafe on the IS App Dev webpage (internal/VPN). Sponsored by WHOI's Ocean Informatics Working Group, IS App Dev, and Data Library & Archives. Please contact email@example.com or firstname.lastname@example.org for more information.
NSF Solicitations and Dear Colleague Letters:
Dear Colleague Letter: Reproducibility and Replicability in Science
- [Link to DCL] October 25, 2022: Through this Dear Colleague Letter (DCL), NSF reaffirms its commitment to advancing reproducibility and replicability in science. NSF is particularly interested in proposals addressing one or more of the following topics:
- Advancing the science of reproducibility and replicability. Understanding current practices around reproducibility and replicability, including ways to measure reproducibility and replicability, what reproduction and replication means in practice, the right degree of replicability to target, quantitative measures of progress to understand the effectiveness of interventions to improve reproducibility and replicability, and exploration of reasons why studies may fail to replicate.
- Research infrastructure for reproducibility and replicability. Developing and facilitating adoption of cyberinfrastructure tools and/or research methods that enable use of reproducible and replicable practices across one or more science and engineering communities.
- Educational efforts to build a scientific culture that supports reproducibility and replicability. Enabling training in science and engineering communities to identify and encourage best practices for reproducibility and replicability, providing community-building and institutional support, and supporting broad public outreach about rigor, reproducibility, and replicability in science.
Ocean Technical Workforce Education
- [Link to DCL] March 14, 2022: Development of new instrumentation, maintenance of equipment related to ocean observing systems, and data management efforts to ensure the quality and accuracy of the data and the analysis of large data sets generated by these systems all require a workforce with specialized training in ocean sciences, engineering, manufacturing, and data science. This Dear Colleague Letter (DCL) encourages proposals within two categories: 1) Curriculum Development proposals and 2) Student Engagement proposals. The goal of the DCL is to expand technical capacity in the U.S. workforce in high-technology fields through training programs that educate the next generation of ocean technicians, data scientists, ocean engineers, and ocean scientists.
Encouraging Research on Open Knowledge Networks
- [Link to DCL] November 18, 2021: Knowledge graphs constitute a powerful approach for organizing, representing, integrating, and accessing data and information from multiple structured and unstructured sources. Large-scale knowledge graphs are now employed at enterprise scales by the private sector. The success of such proprietary knowledge networks offers the potential for open knowledge networks (OKNs) that can support broad public use cases and can be shared in a manner that is secure and preserves privacy. With this Dear Colleague Letter (DCL), NSF invites principal investigators (PIs) to submit proposals that contribute to OKN research and practice. Proposals can be submitted to core programs as Small projects within the Directorate for Computer and Information Science and Engineering (CISE).
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.