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---

![](images/NASA-DAAC-logos-2022.png)
![](images/NASA-DAAC-logos-2023.png)

This cross-DAAC mentor community is creating & teaching resources to help researchers migrate workflows to the cloud. We meet and learn together, working with alignment on common needs for researchers using NASA Earthdata. Mentors receive Carpentries Instructor training and Openscapes mentorship to help you refine teaching strategies for Cloud, while collaborating on cloud tutorials to reuse rather than reinventing separately. Mentors teach and support in opportunities of different types: Hackathons, Workshops, and the Openscapes Champions program. We expect a range of technical ability and teaching experience. Through these growth opportunities within a broader community engagement approach, Mentors will also gain visibility for their work as well as for their DAACs. The expected time commitment is 3 days/month per year (and this ebbs and flows with your deadlines). We have 1.5 hour Mentor Calls (planning) every 2 weeks and Coworking calls (screensharing and doing) and asynchronous work in between. The majority of your time will be spent self-directed towards improving support approaches for specific DAACs, and you'll be collaborating with others at your DAAC as well as across DAACs and the broader open science community.
This cross-DAAC mentor community is creating & teaching resources to help researchers migrate workflows to the cloud. We meet and learn together, working with alignment on common needs for researchers using NASA Earthdata. Mentors receive Carpentries Instructor training and Openscapes mentorship to help you refine teaching strategies for Cloud, while collaborating on cloud tutorials to reuse rather than reinventing separately. Mentors teach and support in opportunities of different types: Hackathons, Workshops, and the Openscapes Champions program. We expect a range of technical ability and teaching experience. Through these growth opportunities within a broader community engagement approach, Mentors will also gain visibility for their work as well as for their DAACs. The expected time commitment is 3 days/month per year (and this ebbs and flows with your deadlines). We have 1.5 hour Mentor Calls (planning) every 2 weeks and Coworking calls (screensharing and doing) and asynchronous work in between. The majority of your time will be spent self-directed towards improving support approaches for specific DAACs, and you'll be collaborating with others at your DAAC as well as across DAACs and the broader open science community.

Please also see [how we onboard](https://nasa-openscapes.github.io/earthdata-cloud-cookbook/contributing/onboarding.html) documentation – this is part of the [Earthdata Cloud Cookbook](https://nasa-openscapes.github.io) that is the main place for all cloud resources the Mentors are developing.
Please also see [how we onboard](https://nasa-openscapes.github.io/earthdata-cloud-cookbook/contributing/onboarding.html) documentation -- this is part of the [Earthdata Cloud Cookbook](https://nasa-openscapes.github.io) that is the main place for all cloud resources the Mentors are developing.

# Current Activities

Expand All @@ -30,7 +30,6 @@ Please also see [how we onboard](https://nasa-openscapes.github.io/earthdata-clo

We have twice-monthly **Mentor Calls**, which are planning and learning sessions that currently are semi-structured. We kickoff those calls with about 10 mins of check in and agenda design and then we will move to proposed topics. In alternating weeks, we have **Coworking sessions** to work on shared goals together, screensharing and often working in the 2i2c JupyterHub and in GitHub.


1. **Winter & Spring -** We have twice-monthly Mentor Calls and Coworking sessions in alternating weeks. February-May focused extended Coworking sessions to be [Cookbook Hackdays](https://github.com/nasa-openscapes/earthdata-cloud-cookbook#hackdays). Mentors collaborated leading workshops and talks.

2. **Spring Champions Cohort -** We supported [7 research teams](https://nasa-openscapes.github.io/2023-nasa-champions/) to learn, discuss, and plan what transitioning their workflows with NASA Earthdata could look like in the Cloud.
Expand All @@ -43,16 +42,16 @@ We have twice-monthly **Mentor Calls**, which are planning and learning sessions

Mentor Calls (Planning) and Coworking Calls (screensharing and doing)

| Date | Mentor Call Topics | Coworking Call Topics |
|------------------------|-------------------------------|----------------------------|
| Aug 3 | | NOAA Fisheries - NASA Mentors exchange |
| Aug 9 | AGU Workshop abstracts refinement | |
| Aug 17 | | [Coiled.io](https://www.coiled.io/) collaboration kickoff with Champions teams |
| Aug 23 | Aimee Barciauskas will present the initial cloud optimized data guide for feedback and determine next steps for sharing science tutorials from VEDA and MAAP | |
| Aug 31 | | R Cloud Hackdays kickoff; [Carl Boettiger](https://www.carlboettiger.info/) |
| Sept 6 | Cedric Wannaz, MathWorks to demo Matlab in 2i2c and analysis-in-place workflow (direct access/reading the data). Previous demo: <https://youtube.com/watch?v=JrIp-LFpPAI> | |
| Date | Mentor Call Topics | Coworking Call Topics |
|---------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Aug 3 | | NOAA Fisheries - NASA Mentors exchange |
| Aug 9 | AGU Workshop abstracts refinement | |
| Aug 17 | | [Coiled.io](https://www.coiled.io/) collaboration kickoff with Champions teams |
| Aug 23 | Aimee Barciauskas will present the initial cloud optimized data guide for feedback and determine next steps for sharing science tutorials from VEDA and MAAP | |
| Aug 31 | | R Cloud Hackdays kickoff; [Carl Boettiger](https://www.carlboettiger.info/) |
| Sept 6 | Cedric Wannaz, MathWorks to demo Matlab in 2i2c and analysis-in-place workflow (direct access/reading the data). Previous demo: <https://youtube.com/watch?v=JrIp-LFpPAI> | |
| Sept 14 | | JupyterBook and JupyterHubs via CI - [discourse](https://discourse.pangeo.io/t/statement-of-need-integrating-jupyterbook-and-jupyterhubs-via-ci/2705/14?u=betolink) |
| Sept 20 | Fall Kickoff & new mentors onboarding | |
| Sept 20 | Fall Kickoff & new mentors onboarding | |

### Coiled

Expand Down Expand Up @@ -158,34 +157,52 @@ The NASA Openscapes Mentors community is growing! Mentors from five DAACs who ha

### Andy Barrett\*

National Snow & Ice Data Center (NSIDC)

### Chris Battisto

Chris is a Scientific Developer working at the Goddard Earth Sciences Data Information Services Center (GES DISC). He focuses on creating documentation and guides relating to a wide array of GES DISC user support needs, including cloud data access methods and help desk queries. Chris has a background in meteorology, and received a master's degree in geography from Northern Illinois University in 2021. 

### Brandon Bottomley

Alaska Satellite Facility (ASF)

### Ian Carroll

Ocean Biology DAAC (OB.DAAC)

### Matt Fisher

National Snow & Ice Data Center (NSIDC)

### Aaron Friesz\*

Aaron Friesz is the Science Coordination Lead at NASA's Land Processes Distributed Active Archive Center (LP DAAC). In his role, Aaron provides user needs insights and technical support for archive and distribution, service development, and outreach activities. He develops tutorials, scripts, and presentations that highlight the use of land remote sensing data in analysis workflows. More recently, his work has focused on advocating for the uptake of cloud computing in the land remote sensing community.

### Shubhankar Gahlot

Interagency Implementation and Advanced Concepts Team (IMPACT)

### Iksha Gurung

Interagency Implementation and Advanced Concepts Team (IMPACT)

### Alexis Hunzinger\*

[Alexis Hunzinger](https://www.linkedin.com/in/alexis-hunzinger) is a Support Scientist at the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC), focused on addressing the needs of the user community. Alexis works closely with the GES DISC User Working Group, fielding concerns and suggestions to be implemented at the DAAC. She also leads the effort at GES DISC of developing guides, tutorials, and other resources designed to educate and welcome users to the Earthdata Cloud.

### Mahsa Jami

Land Processes DAAC (LPDAAC)

### Daniel Kaufman

Atmospheric Science Data Center (ASDC)

### Alexander Lewandowski

Alaska Satellite Facility (ASF)

### Bri Lind

Bri is a Geospatial Data Scientist at NASA's Land Processes Distributed Active Archive Center (LP DAAC).  Bri is formally trained as an ecologist and remote sensing scientist and is deeply interested in facilitating the fusion of diverse remote sensing products with field data to enhance scientific insight. As a visual learner and science-oriented coder, Bri is focused on making materials that are easy to understand and likes to convert challenging concepts into flexible and easy-to-apply approaches.
Expand All @@ -200,13 +217,19 @@ Bri is a Geospatial Data Scientist at NASA's Land Processes Distributed Active A

### Celia Ou

Physical Oceanography DAAC (PO.DAAC)

### Kytt MacManus

Socioeconomic Data and Application Data Center (SEDAC)

### Juan Martinez

Socioeconomic Data and Application Data Center (SEDAC)

### Victoria McDonald

As a Data Engineer at the Physical Oceanography Distributed Active Archive Center (PO.DAAC) at NASA’s Jet Propulsion Laboratory, Victoria spends a lot of time thinking about scientific data: how we manage it, how we make it accessible, how we reduce the steep learning curves that can hinder scientific discovery. Building better, open, collaborative, software so that we can make complex data analysis more accessible is something she is passionate about.
As a Data Engineer at the Physical Oceanography Distributed Active Archive Center (PO.DAAC) at NASA's Jet Propulsion Laboratory, Victoria spends a lot of time thinking about scientific data: how we manage it, how we make it accessible, how we reduce the steep learning curves that can hinder scientific discovery. Building better, open, collaborative, software so that we can make complex data analysis more accessible is something she is passionate about.

### Jack McNelis\*

Expand All @@ -222,34 +245,52 @@ Brianna is the Lead Development Engineer at NASA's Goddard Earth Sciences (GES)

### Muthukumaran Ramasubramanian

Interagency Implementation and Advanced Concepts Team (IMPACT)

### Navaneeth Selvaraj

Global Hydrometeorology Resource Center (GHRC)

### Rupesh Shrestha

Oak Ridge National Laboratory (ORNL)

### Sargent Shriver

Alaska Satellite Facility (ASF)

### Christine Smit

Global Hydrometeorology Resource Center (GHRC)

### Geoffrey Stano

Global Hydrometeorology Resource Center (GHRC)

### Amy Steiker\*

Amy Steiker is the NSIDC DAAC Data Services Engineer, specializing in the development and management of data education resources, tools, and services for NSIDC DAAC's growing user community, as well as data transformation service development for NASA EOSDIS. She is excited to join this first Openscapes cohort to work together with our science communities to develop and sustain tooling that supports their data processing workflows as they transition to the Earthdata Cloud.

### Lucas Sterzinger

Goddard Earth Sciences Data and Information Services Center (GES DISC)

### Nikki Tebaldi

Nikki Tebaldi is a Cloud Adoption Engineer for the Physical Oceanographic Distributed Active Archive Center (PO.DAAC). Nikki has led the migration of an on-premise workflow to the cloud which produces GHRSST Level 2P Sea Surface Temperature datasets and continues to work to improve the workflow architecture in the cloud. Her past and current work also includes integrating cloud-based data endpoints into a workflow that produces GHRSST Level 4 MUR Sea Surface Temperature datasets and architecting a cloud workflow that produces river discharge parameter estimates from SWOT data. Nikki is interested in collaborating on and developing strategies for migrating scientific workflows to the cloud.

### Michele Thornton

Oak Ridge National Laboratory (ORNL)

### Makhan Virdi\*

[Makhan Virdi](https://www.linkedin.com/in/mlvirdi/) is the ASDC DAAC Scientist, experienced in creating geospatial tools and services for science-based analysis, visualization (UI/UX), discovery and distribution of data generated by field/laboratory observations, remote sensing, and model simulation. He is interested in AI/ML for earth science data, multi-sensor data fusion, and data analytics in the cloud. He is excited to be part of the Openscapes community, and is looking forward to learning from peers, and sharing his knowledge and skills with the community to develop and promote data science techniques, best practices, and inter-agency collaborations.

### Guoqing Wang

Ocean Biology DAAC (OB.DAAC)

### Jess Welch

Since September 2018, [Dr. Jessica Nicole Welch](https://www.linkedin.com/in/jessicanicolewelch/) has held a position at the ORNL DAAC, which specializes in data archive for terrestrial biogeochemistry, ecology, and environmental processes. Her work focuses on dataset curation, project coordination, and science communication. Jess holds a PhD in Conservation Biology from the [Department of Ecology and Evolutionary Biology](https://eeb.utk.edu/) at the University of Tennessee. When she's not working at ORNL or participating in community service, she plays [Ultimate](https://www.usaultimate.org/about/ultimate/) with her friends.
Expand All @@ -258,6 +299,8 @@ Since September 2018, [Dr. Jessica Nicole Welch](https://www.linkedin.com/in/jes

### Jennifer Adams

Goddard Earth Sciences Data and Information Services Center (GES DISC)

### Vishal Bagadia

[Vishal Bagadia](https://www.linkedin.com/in/vishal-bagadia-a98b95113) is a data science analyst working on contract at the Atmospheric Science Data Center DAAC, NASA Langley Research Center. His experience in exploring emissions retrievals from satellite missions and guiding science teams during the development of their research products powers his work on addressing data interoperability concerns and being responsive to user's engagement with the archived data. He is energized in leveraging emerging, free, and open-source technologies to better represent and visualize large datasets, building web applications to meet user's data transformation and accessibility needs, and ultimately producing sustainable solutions to meet end-user requirements as data moves into the cloud.
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