Please apply for the first Innovation Summit in Environmental Data Science

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Jan 20, 2023, 6:50:36 AM1/20/23
to Climate Informatics News
CI Colleagues, please feel free to apply and spread the word.

You are invited to apply for the Innovation Summit, organized by The Environmental Data Science* Innovation & Inclusion Lab (ESIIL). The Innovation Summit will be held in person May 23-25, 2023 at the University of Colorado Boulder, with virtual attendance options also available. Applications are due by January 22, 2023.

Click here for more information. Click here to apply.

ESIIL is an NSF-funded data synthesis center led by the University of Colorado Boulder in collaboration with NSF’s CyVerse at the University of Arizona and the University of Oslo. ESIIL enables a global community of environmental data scientists** to leverage the wealth of environmental data and emerging analytics to develop science-based solutions to solve pressing challenges in biology and other environmental sciences. ESIIL holds inclusion as a core principle and method for diversifying environmental data science at a time when society needs all perspectives, and science needs to serve all.

The Innovation Summit will include plenary talks, breakout sessions to work collaboratively on projects, and networking opportunities. All skill levels and backgrounds are welcome. There will be an optional training session beforehand (May 22, 2023) to provide any interested participants with basic data science skills (e.g., programming, data and code sharing best practices). There will be another optional training session after the Summit (May 26, 2023) for emerging scientists from underrepresented communities to foster leadership skills in environmental data science domains and in team science.

Funds are available to support participant travel, based on need. There will be an option to attend virtually as well.

All prospective attendees must complete an application. Applications are due January 22, 2023.

Apply here.

*What is Environmental Data Science?

Environmental Data Science (EDS) is an exciting emergent field where big data is used to drive discovery, solutions and science to understand our environment. It is highly transdisciplinary, including aspects of the natural and social sciences that explore the environment and human interactions (e.g., biology, evolutionary biology, ecology, geography, sociology, anthropology, geology, hydrology, economics) and data sciences (e.g., computer science, information science, mathematics, econometrics, and others).

In this new field, ESIIL stands as an integrator; we serve this emerging community by building connections across disciplines and with stakeholder partners using advanced team science; we provide tools and training to support users in accessing and using data for solutions; and we drive cutting-edge environmental science towards actionable insights and tools by leveraging advances in AI and ML, statistics, data mining and fusion, computer vision, and allied fields.

** Who are environmental data scientists? Because this is a new field, anyone who uses or plans to use environmental data, including those in government, academia, industry and broader communities, is invited to identify themselves as a data scientist! Early career scientists, Indigenous peoples and those from backgrounds who have traditionally been underserved in data science are especially encouraged to apply.

You can find more information about the 2023 Innovation Summit here. Please contact us with any questions at


The ESIIL Leadership Team

Jan 20, 2023, 6:52:39 AM1/20/23
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