ESIP News

Register NOW for the ESIP Summer Meeting (July 14th-24th, ONLINE)
The ESIP Summer Meeting is now less than 50 days away! Have you seen the awesome breakout schedule and growing plenary lineup in Sched at https://2020esipsummermeeting.sched.com/? ESIP staff and leaders continue to research tools and techniques to make sure we push the envelope with this virtual event. You can find the link to register and more info about the event here.

A note from Erin on what does registration cover in a virtual conference (if there aren't snacks)? We know that ESIP meetings key value is in networking and professional development, so we are working to reimagine that in the virtual space using a platform called QiQoChat. As ESIP transitions to virtual conferences we are charging a registration rate because ESIP meetings support some of our operational costs in our annual budget. The registration rate was based on $25/hr of plenary content with over 9 hours of planned plenary and $35 for use of the QiQoChat platform. Registration to the meeting includes FUNding Friday eligibility and networking events associated with the live event. The meeting sessions will be recorded and immediately available to registrants and freely available to the entire ESIP community after the event ends. 

ESIP Lab Spring Request for Proposals OPEN Now (Due 7/1)
The ESIP Lab supports the Earth science community in building innovative, applied technologies through funding and community input. Through this Request for Proposals (RFP), the ESIP Lab seeks projects that lie in the realm of good ideas ready to be tried out. Projects should last 6 – 8 months, with a maximum budget of $10,000. Proposals that address the following needs in the Earth science community will be given priority:

• Modernization of Earth science workflows using community-recommended best practices — the use of open-source software and cloud computing are encouraged.
• Cloud computing use cases for Earth science — creation of well-documented notebooks showing how to collect, distribute, or analyze Earth science data in the cloud.
• Extension of open source software critical to collecting, distributing, fusing, or analyzing Earth science data.
• Comparison or assessment of Machine Learning or Deep Learning techniques with controlled datasets and/or using well-defined benchmarks.
• Linked open data techniques and methods, particularly harmonization of disparate information about the same identified objects and entities.

Although this RFP will give priority to proposals addressing the bulleted topics above, other high-quality proposals will also be given consideration. Read the full RFP here.

Karl Benedict to Chair 2020 ESIP Nominations Committee
At the last Board Meeting in late April, Karl Benedict was confirmed as the 2020 ESIP Nominations Committee Chair. The Committee is in charge of soliciting and accepting nominations for all elective offices and ensuring that there are candidates for each elective office at the time of elections. Karl has been active in ESIP for nearly 20 years now and, in that time, he has served on the Board for eight years, including five years as President/Chair of the Board. ESIP elected leaders play a pivotal role in the success and progress of ESIP each year and, with Karl at the helm, there is no doubt that there will be a fine slate of candidates for the next election. If you are interested in learning about or potentially running for an elected office, you can contact nominations@esipfed.org at any time.

More News

EarthArXiv Announces New Partnership with California Digital Library to Host Earth Sciences Preprint Service
The Advisory Council of the EarthArXiv preprint service for earth sciences is pleased to announce a partnership with the California Digital Library (CDL) that will support EarthArXiv’s mission, future growth, and long-term sustainability. Core to this partnership will be the transition of EarthArXiv’s preprints server – including public display and submission management – from the Center for Open Science to the eScholarship Publishing program at the CDL. Read the full announcement here.

The TRUST Principles for Digital Repositories
A new article in Nature Scientific Data outlines the TRUST Principles (Transparency, Responsibility, User focus, Sustainability and Technology), which provide a common framework to facilitate discussion and implementation of best practice in digital preservation by all stakeholders. The article is authored by a team of individuals, including several ESIP participants. Check out the full article here.

Essay Competition: Open Data Challenges to Address Global and Societal Issues
CODATA Connect Early Career and Alumni Network in collaboration with the CODATA Data Science Journal (DSJ) is organizing an Essay Competition for Early Career Researchers (ECR) on Open Data Challenges to Address Global and Societal Issues now through 6/30. Learn more here. Potential topics may include:

• Participants interested in disseminating information on research data in the sciences, humanities and the arts using essays as the medium are welcome to apply.
• Topics might include but not limited to human health, climate change, resilience, etc. 
• Essays which discuss the necessary limits in openness are also in scope and are welcome (e.g. personal health information, indigenous sovereignty etc.)
• Essays that discuss the challenges in making data as open as possible and how such data can be used to address global and societal issues (Crime, Disease, Governance, etc.)
• Essays might discuss challenges at any point in the data lifecycle and in relation to any of a number of global and societal challenges.  
• We discourage essays that simply present well known and generic arguments in favor of open data.   
• Essays are encouraged to use local or specific examples for the benefits of open data and to discuss how challenges can be overcome in both specific circumstances and more globally.  

Earth Lab Professional Certificate in Earth Data Analytics
If you're looking to gain skills in earth data science and scientific programming, consider the Earth Data Analytics - Foundations professional certificate at the University of Colorado, Boulder. This 9 credit program can be completed entirely online or in person over a ten month period from August through June. Applications are currently being accepted for Fall 2020 (priority application deadline is 7/13). The certificate consists of three sequential courses. It provides you with the fundamental skills required to work in the rapidly growing field of earth data science. Graduates will be prepared to launch or advance careers as data scientists, data analysts, GIS/geospatial analysts, remote sensing scientists, or product managers, among other careers. The certificate is appropriate for recent graduates, experienced earth science professionals, and career changers. You can find the entirety of the content covered in the first two courses of the certificate on earthdatascience.org. This content is completely free and available for you to work through on your own time. For more information, please visit this website.

Making Innovative Use of NASA Satellite Data to Address Environmental, Economic, and/or Societal Impacts of COVID-19
NASA's Earth Science Division would like to call the attention of the Earth Science research, applications, and data systems communities to Program Element A.28 "Rapid Response and Novel Research in Earth Science" (RRNES) of Research Opportunities in Space and Earth Sciences (ROSES) 2020 as an opportunity to propose investigations making innovative use of NASA satellite data to address regional-to-global environmental, economic, and/or societal impacts of the COVID-19 pandemic. Potential proposals may address R&A-related topics more fundamental in underlying physical and/or biological sciences (including possible connections to socioeconomic activities) and/or ASP-related topics characterizing impacts of decisions or efforts to inform decision makers on regional-to-global levels in their responses to mitigate the impacts of the disease. While proposed studies must use NASA satellite data and information products as a primary source of information and research tools, they may also utilize remote sensing data and products from government agencies, international, or commercial sources.  Studies utilizing Artificial Intelligence (AI) techniques including Machine Learning (ML) and Deep Learning (DL) are encouraged. For any questions about this opportunity, please contact Dr. Laura Lorenzoni of ESD at (202) 358-0917 or by Email at laura.lorenzoni@nasa.gov.

Gateways 2020 Call for Participation
Call for Participation: Gateways 2020 (October 19–21, Bethesda, Maryland) is now accepting submissions of short papers, demos, panels, tutorials, and workshops on the topic of gateways for science, engineering, or other disciplines. Popular topics include: gateway design, use, impact, development processes, sustainability, or best practices, educational topics (tutorials, demos) directed toward the next generation of gateway creators as well as gateways used for education; Any other aspect interesting to fellow gateway creators or users, such as emerging capabilities, approaches or technologies; and Learning Labs (impromptu group discussions and gatherings) will also be welcoming early submissions as well as on-site proposed topics. See more details, including submission deadlines here.

NCEAS Training on Reproducible Research Techniques for Synthesis
Registration is open for a new intensive, five-day immersion course “Reproducible Research Techniques for Synthesis” (8/17-8/21 in Santa Barbara, CA). The course, which will happen quarterly, will enable environmental researchers across career stages and sectors to gain fundamental data science skills in support of open, reproducible research techniques. Major course foci will include managing data to enable better reuse, building reproducible workflows using R and git, and communicating results within the framework of synthesis science. This is an opportunity for students, researchers, data managers, and others to reinforce or expand their learning and become familiar with current best practices and tools in data science and open science. These skills will enable you to maximize your productivity, share your data effectively, and accelerate the scientific community’s ability to work together on solving important questions about the natural environment and our interactions with it. Learn more and apply by 7/20 here.