Data Dragons¶
- Member 1:
- Name: Anna LoPresti
- Pronouns: She/her
- Expertise: Wildfire and prescribed fire management; climate adaptation planning, monitoring, and evaluation
- Environmental Data Science Superpower: Communicating environmental science to decision-makers; using observational data to evaluate adaptation effectiveness
- Reflection on Polarities Exercise: I was on a call during the exercise - I learned to not double-book myself in the future!
- Member 2:
- Name: Elshadai Tegegn
- Pronouns: She/her
- Expertise: PhD candidate (CS) focusing on XAI
- Environmental Data Science Superpower: Interested in contributing to the field and finding ways to integrate environmental studies with my research
- Reflection on Polarities Exercise: Internal Processor sending long emails because I process while I write
- Member 3:
- Name: Khai Hoan Nguyen
- Pronouns: She/her
- Expertise: Climate adaptation governance; planning and policy
- Environmental Data Science Superpower: Making institutional arrangements legible
- Reflection on Polarities Exercise: Some dimensions I was very sure about, some I was on the fence.
- Member 4:
- Name: Nanette Hosenfeld
- Pronouns: She/her
- Expertise: Meteorologist - forecasting weather, wildfire potential, river flooding, and water supply (snowpack runoff) for the Colorado River and Great Basin
- Environmental Data Science Superpower: Data processing and analysis, web design - mainly geospatial
- Reflection on Polarities Exercise: Missed this but now I'm curious
- Member 5:
- Name: Ruben Remelgado
- Pronouns: He/him
- Expertise: Remote Sensing, Biodiversity Change, Multidisciplinary studies
- Environmental Data Science Superpower: Data integration and synthesis across disciplines
- Reflection on Polarities Exercise: A lot of movement in the room; very mixed crowd.
- Member 6:
- Name: Vaasuki Marupaka
- Pronouns: She/her
- Expertise: PhD student working on computational biogeochemistry
- Environmental Data Science Superpower: Spatial-temporal reflections, global coverage, and policies
- Reflection on Polarities Exercise: Most of the prompts are situational; I am an external processor!
- Member 7:
- Name: Corinne Walsh
- Pronouns: she / her
- Expertise: Soil, carbon data science
- Environmental Data Science Superpower: microbiome DNA data
- Reflection on Polarities Exercise: Many things are situational for me.
- Member 8:
- Name: Corinna Coupette
- Pronouns: they / she
- Expertise: computer science, complex systems, law
- Environmental Data Science Superpower: data visualization, data-centric machine learning
- Reflection on Polarities Exercise:
Research Question: Innovation for Inclusion or Computation (approx. time: 5-10 mins)¶
Write the research question your team selected in the space below. Feel free to revise the original question.
- Data Gaps and Biases - What gaps/biases are present in environmental data sets that are critical for assessing adaptation and resilence, and how can we address them?
Project Title¶
Data Dirt and Data Draughts: Connecting Communities to Cultivate the Environmental Data Ecosystem¶
Promoting Resilience and Adaptation¶
Describe how your proposed project aligns with the Summit's themes of resilience and adaptation. Please provide 1-2 sentences that clearly connect your project's goals or methods to these themes.
- The project aims to enhance the resilience and adaptive capacity of environmental data systems by providing clear, accessible data cards that demystify complex data products. This initiative supports informed decision-making and rapid adaptation in response to environmental changes and disruptions.
Choosing Big Data Sets¶
Explore potential data sets for your project's topic from the data library. List your options below, organizing them by whether they represent the system you're studying (e.g., deciduous forests) or the disruption to it (e.g., wildfire). Then discuss your choices and indicate your final selections.
Draft Potential Data Sets¶
- System Being Perturbed/Disrupted:
- [List all potential data sets here]
- Perturbator/Disrupter:
- [List all potential data sets here]
Final Choice¶
- System Being Perturbed/Disrupted (Final Choice):
- [Indicate your final selected data set here]
- Perturbator/Disrupter (Final Choice):
- [Indicate your final selected data set here]
Brief Check-in: Definition of Resilience (approx. 5 mins)¶
Below is a working definition of the word "Resilience" for the Summit. Please edit the definition below based on your earlier discussion and chosen project.
"Resilience is the capacity of a system, community, organization, or individual to absorb stress, recover from disruptions, adapt to change, and continue to develop and thrive."
- [Edit or reaffirm this definition here]
Day 1 Report Back¶
Select one representative from your group to present your proposed project. For the report back, each group will have 30-60 seconds to present their responses to the questions below. Keep it concise and focused. This is just a quick oral presentation - you will not be able to use slides/images.
- Project Title:
- Data Dirt and Data Draughts: Connecting Communities to Cultivate the Environmental Data Ecosystem
- Research Question:
- [Insert your team's refined research question here]
- Selected Data Sets:
- [List the data sets your team has chosen to use here]