Main Issue: Computational GeoHealth -- covid19_scenarios need localization for communities, culture and climates

[ChristinaB]

Idea: Develop translations to advance system understanding on the global information, transmission, and environmental cycles linked to spatially distributed human behavior and organized mitigation, and viral pandemic impacts.

Objective 1: Reproducible scientific experiments

• [ ] Develop a project template for reproducible workflows: options - binder, JupyterHub servers, desktop
• [ ] Lecture for Monday to scope the need for science workflows
• [ ] Activities for Friday that every project team can achieve

Objective 2: Compare EPI/SRI models and add panels to Dashboard

Proposal: Improve Range of Simulated Uncertainty by adding models to https://neherlab.org/covid19/

• [ ] Contact Richard Neher
• [ ] Run Landlab SRI with parameters for case studies in https://neherlab.org/covid19/ Explorer
• [ ] Determine-- is this the right 2nd model? Compare to Neil Abernethy list of 29 other models.
• [ ] Add model comparison functionality to Explorer with Landlab example
• [ ] Expand global scale to Landlab SRI - microclimates of hexagons
• [ ] Document process for other researchers to use the framework and add their own model. \
• [ ] Improve visualization of trends with https://aatishb.com/covidtrends/ by adding a panel for exponential rate of change maps
• [ ] Make local branches of dashboard to combine county level data (at least) that make John Hopkins viewer useful View the full map here accessible for state department of health (e.g. WA State map on 'trusted' DOH website
• [ ] Publish GeoHealth paper

Objective 3: Use models and data to improve accessible community and public education

• [ ] Binder recipe file for reproducible modeling -- case study for setting a standard using COVID-19 data
• [ ] Write instructions to publish data and models
• [ ] Publish variables (including social, environment, mitigation) and serve them for viewing
• [ ] Design curriculum to teach math and physics using geoscience and earth data.

Objective 4: Model Seasonality of Simulated Uncertainty by adding historic weather and forecasts models.

Proposal: run seasonality analysis with National Water Model boundaries and WRF model forcings

Test Tian's NWM Notebook - Launch Binder here.

• [ ] Work with CSDMS Tian Gan + CUAHSI Tony Castonova + Dave Gochis NWM team
• [ ] Determine list of 1 km scale or smaller data sources for local->global coverage
• [ ] Determine tasks for Case study for US with WRF National Water Model forcings; building on existing CUAHSI work
• [ ] Add panel to COVID-19 Explorer for temperature and humidity data with visualizations compared to historic and for two year forecast.
• [ ] Update results compared to latitude based predictions of virus seasonality
• [ ] Publish useful journal article

Objective 5 - Improve social parameters with community integration and usability by targeting myths with local data for global campaigns

• [ ] Contact Nicole Errett
• [ ] Determine tasks for community data usability and visability
• [ ] Determine needed changes in parameters
• [ ] Add panel to COVID-19 Explorer for community data improvements to parameters
• [ ] Update results compared to default parameters and historic assumptions
• [ ] User experience testing in case study communities
• [ ] Publish Disaster paper

[ChristinaB]

Collaborate with OKN on shared projects to test the hypothesis about place-based environmental impacts in vulnerable communities.

Onboarding process To do List:

• [ ] OKN team sign ups to www.hydroshare.org, Join Waterhackweek Group, Join CUAHSI Compute Group
• [ ] Media campaign strategy: www.flattenthecurve.com contribute information with translations for indigenous communities
• [ ] Target: increase synthesis of health related environmental data for vulnerable populations (for example, tribal reservations, urban areas) to understand variables that contribute to COVID-19
• [ ] Obj 1: Tony finishes Bokeh features
• [ ] Obj 2: Scott improves ease to add more widgets
• [ ] Obj 3: Philip COVID-19 frequency rates in reservations
• [ ] Obj 4: Christina - update Tian's notebooks for Seattle points and other areas; https://github.com/christinab/nwm
• [ ] Obj 5: Sono ?

Threat reduction result: public adoption of rational science and health practices for democratic governance during a global pandemic