31:Tba7,md` ### Presentation Summaries **Ambassadors** Christoph will walk through some of his research and demonstrate how, using JavaScript and Observable, he is able to create and share his analysis of predictive differences between an 'old way' of understanding agricultural cost and productivity and a 'new way' that is more descriptively accurate of real-world fragmentation and complexity. Maya will talk about being a a power R user who came to D3.js looking for greater expression and interactivity in data visualization. Maya will also share her excitement for why and how it makes sense for teams familiar with R to integrate D3.js in your data visualization pipeline. Karim is an expert in data analytics and makeer of bespoke data visualizations. Karim will demonstrate the beauty and simplicity of using Observable to find, fork, and re-purposes community work to explore data—a talk that combines beauty and deep insights into information. **Environmental Scientists** Jeff will talk about his work conducting complex statistical analyses and generating data for fishery management actions. Jeff's analyses provide the Gulf and South Atlantic Sustainable Fisheries branches, information on size, bag, vessel, and trip limit analyses, season length projections for multiple sectors, changes to the fishing season, and bycatch estimates. He will introduce how managers use this information for making decisions on the technical, administrative, and programmatic aspects of fishery management functions by presenting oral and written reports. Gabe will introduce [NOAA Digital Coast](https://coast.noaa.gov/digitalcoast/data/) data, which range from elevation and inundation to coastal land cover, from benthic habitats to jobs that depend on the marine economy, and beyond. Data come as raster, vector, point clouds, spreadsheets, and many other formats (including many with live map services). Tom will talk about the types of climate data used in stories and visualizations at NOAA’s Climate.gov as well as how to access any climate data through the Climate.gov website. He will also introduce NOAA Climate Program Office’s Urban Heat Island mapping campaigns which has already mapped the urban heat islands for over 20 cities across the country and will be mapping even more this upcoming summer. This data is freely available and is being used by city officials and community members to improve heat health in vulnerable communities. Ben will discuss various data streams used by the Atlantic Highly Migratory Species (HMS) Management Division and will highlight the balance between communicating these data and maintaining required confidentiality. Ben's day-to-day ranges from examining trends in depredation to ensuring dealers are accurately reporting HMS landings. Ben enjoys finding ways to streamline tedious data processes and reporting in other ways than tables.^{[*](https://observablehq.com/d/5368e1082e973998 "Example dataset.")} `32:[{"id":"ce79579bb84cd91f85bd3233ecc829ee160738b749851052227f0c5e30e15ad4982243ba82c5b14ba704bc15c06b291f92e3ad56e7b4a61843deefb25190b6f2","href":"https://static.observableusercontent.com/files/ce79579bb84cd91f85bd3233ecc829ee160738b749851052227f0c5e30e15ad4982243ba82c5b14ba704bc15c06b291f92e3ad56e7b4a61843deefb25190b6f2","name":"TDiLiberto_Headshot (1).jpg","type":"image/jpeg","lastModified":1618511696441.637,"size":755404}] 2f:{"title":"Data Science for Environmental Research (and Advocacy)","cells":[{"id":0,"value":"md`# Data Science for Environmental Research (and Advocacy)`","pinned":false,"hidden":false,"mode":"ojs"},{"id":847,"value":"md`\n_Notes from an Event & Invitation to Collaborate_\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":567,"value":"date = md`\n**Earth Day 2021: Thursday April 22, 9 - 10 a.m. PTD, UTC −07:00**\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":800,"value":"md`\n## Quick Links\n\n* [Event annountcement on meetup.](https://www.meetup.com/observablehq/events/277535192/)\n* Crowdcast link: [https://www.crowdcast.io/e/datascienceforenvironmentalresearchandadvocacy2021](https://www.crowdcast.io/e/datascienceforenvironmentalresearchandadvocacy2021)\n* A record of [resources & contact info shared at the event](https://observablehq.com/d/2bba3f14ab6dbd32) \n* [NOAA Fisheries Marine Recreational Information Program Survey Data](https://observablehq.com/@aaronkyle/noaa-fisheries-mrip-survey)\n* [Awesome notebooks](https://observablehq.com/d/522608e7255a9821) for inspiration (organized by topic).\n* [Notebooks using NOAA data](https://observablehq.com/search?page=1&query=NOAA).\n
\n(more to come!)\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":627,"value":"hashtag = md`\\`#datascienceforgood, #observablehq\\``","pinned":false,"hidden":false,"mode":"ojs"},{"id":734,"value":"md`\n---\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":597,"value":"toc()","pinned":false,"hidden":false,"mode":"ojs"},{"id":739,"value":"import { toc } from '@aaronkyle/toc'","pinned":false,"hidden":false,"mode":"ojs"},{"id":820,"value":"md`\n---\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":619,"value":"md`\n## What's This?\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":835,"value":"md`\n

👋 This is a record of a past event. And it's also the start of a call for collaborations to be carried forward over space and time. The lines that follow contain some artifacts of our kick-off conversations and links to further work. If you enjoy having fun with environmental data, or if you wish to learn join the conversation! ✨

\n\n\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":647,"value":"md`\n### Event Summary\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":199,"value":"md`\nThis discussion brings together environmental scientists and data visualization enthusiasts. Each guest scientist will introduce their role, discuss how they produce and consume data, and share views on challenges, frustrations, joys and wishes for better data visualization capacities. [Observable Ambassadors](https://observablehq.com/ambassadors) will share insights about working with data using JavaScript, and how Observable helps to use data to make sense of the world—[together](https://observablehq.com/product).\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":644,"value":"md`\n### Format\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":653,"value":"md`\nThis event was [crowdcast](https://www.crowdcast.io/e/datascienceforenvironmentalresearchandadvocacy2021) live so that interested participants may listen in. The conversation will follow with written minutes and invitions to further 'asyncronous' works (including more notebooks) and branching discussions. \n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":179,"value":"table = md`\n\n\n\n\n\n\n\n\n\n\n\n\n

Welcome and Observable Intro
Observable Team
Remarks on the Session & Moderating
Aaron Dennis	Amanda McCarty
Observable Ambassadors	Environmental Scientists
Christoph Pahmeyer	Tom Di Liberto
Maya Gans	Jeff Pulver
Karim Douieb	Gabe Sataloff
	Benjamin Duffin
A Note From Our Sponsors
Observable Team

\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":635,"value":"md`\nThis discussion assumes no knowledge of Observable or JavaScript, although it is intended to insipre environmental scientists and others working with data on the how [JavaScript](https://developer.mozilla.org/en-US/docs/Web/JavaScript) and [Observable](https://observablehq.com/explore) can [help to explore and visualize data](https://observablehq.com/d/522608e7255a9821).\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":695,"value":"md`\n### Outcomes: Motivating Collaboration and Data Awareness\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":698,"value":"md`\nWe hope to motivate collaboration on data visualization and to raise awareness of publicly-available datasets. Environmental scientists are encouraged to share a dataset that they produce or rely on, and to talk about how they use (or wish to use) visualizations to convey a message about the dataset. By opening this conversation, we hope to encourage further works referencing [NOAA data on climate change](https://www.ncdc.noaa.gov/cdo-web/datasets) that encourage thought, discussion, or further advocacy and awareness-raising on critical environmental issues.\n\nAny follow-on works will be referenced as outcomes in updates to this notebook.\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":468,"value":"$31","pinned":false,"hidden":false,"mode":"ojs"},{"id":57,"value":"participants = md`\n## Discussants\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":224,"value":"hosts = md`\n### Observable Hosts\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":330,"value":"//

\nmd`\n**Wayne Sutton** [@waynesutton](https://observablehq.com/@waynesutton)
\nCommunity Manager at Observable\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":333,"value":"md`\n

\n**Anjana Vakil** · [@anjana](https://observablehq.com/@anjana)
\nDeveloper/Advocate at Observable\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":219,"value":"md`\n### Environmental Researchers\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":168,"value":"md`\n

\n
\n\n\n**Amanda McCarty**
\n**Chief, Fishery Monitoring & Research Division**
\n[Northeast Fisheries Science Center](https://www.fisheries.noaa.gov/about/northeast-fisheries-science-center)\n\nCreative and passionate professional who values interdisciplinary collaboration to identify innovative and evidence-based solutions that address our most difficult societal and environmental challenges.\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":776,"value":"md`\n

\n
\n\n\n\n**Tom Di Liberto**
\n**Meteorologist/Climatologist**
\nCollabraLink Technologies, Inc. \n\nClimate scientist and science communicator working as a contractor with CollabraLink at NOAA’s Climate Program Office as the consulting climatologist for NOAA’s [Climate.gov](https://climate.gov/). I am a science writer, communication strategist, and social media manager at Climate.gov and the Climate Program Office, and also a member of NOAA’s Climate Prediction Center’s El Ni o Southern Oscillation (ENSO) team forecasting El Niño and La Niña events. \n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":758,"value":"md`\n**Jeff Pulver**
\n**Research Fishery Biologist/Data Analyst**
\nNOAA Southeast Regional Office\n\nOver a decade working for NOAA and currently stationed at the Southeast Regional Office in St. Petersburg, Florida. I work primarily with R statistical software, as well as SQL, SAS, and Excel. Passionate about presenting clear data visualizations and organized work flows. Prior to falling in love with all things data, I worked as fishery observer onboard commercial fishing vessels in Alaska and the Southeast.\n\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":767,"value":"md`\n**Gabe Sataloff**
\n**Senior Geospatial Analyst, Lynker/CSS Team**
\nOn Contract to NOAA Office for Coastal Management\n\nI work with a team comprising both geospatial analysts and full stack developers to create tools for exploring and interrogating data. Our geospatial analysts sometimes are looking for quick visualization prototyping when focusing on a particular area. Our office works a lot with Python for data processing and modeling, and we're thinking about the next steps for data visualization.\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":787,"value":"md`\n**Benjamin Duffin**
\n_Statistician, ECS Contractor in support of_
\n**NOAA Fisheries | Atlantic HMS Management Division**\n\n\nI work with the NMFS Atlantic HMS Management Division, which manages sharks, tunas, and billfish in the U.S. Atlantic. I've always loved fishing, and have worked with fisheries my entire professional career. The last few years, my work shifted toward more data management and analysis than what people think of when I tell them I'm a marine biologist. Data is important, but not always exciting, and sharing data through engaging visualizations makes it easier to digest. Outside of work, I'm beginning to use open source data to research and underwrite investment opportunities.\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":33,"value":"md`\n---\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":223,"value":"ambassadors = md`\n### Observable Ambassadors\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":670,"value":"md`\n

\n\n**Aaron Dennis** [@aaronkyle](https://observablehq.com/@aaronkyle)
\nBerkshire County, MA\n\nI help to plan and implement social safeguards measures for people and communities affected by international development. I advocate for greater sharing and use of information when trying to analyse and understand our world.\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":341,"value":"md`\n

\n\n**Christoph Pahmeyer** [@chrispahm](https://observablehq.com/@chrispahm)
\nCologne, Germany\n\nI'm working in the Agricultural economics department of the University of Bonn. We build and apply optimization models, generally analyzing the economic and ecologic effects of agricultural policies. I'm trying to write OSS that reduces the environmental footprint of agriculture, while also optimizing farmers income. If you're interested, check out our Fruchtfolge decision support system!\n\nI'm really looking forward to exchange ideas / visualisations, and bring more research stuff to Observable!\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":366,"value":"md`\n

\n\n\n**Maya Gans** [@mayagans](https://observablehq.com/@mayagans) \n
Las Vegas, NV\n\nI develop applications and packages in R and now I mostly focus on creating wrappers around d3.js to make it more digestable for R users [and luckily get to make them open source so I can show and teach others!]\nI think it could be fun to put together some workbooks because teaching is the best form of learning. When I'm not coding I'm out rock climbing.\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":158,"value":"md`\n

\n\n**Karim Douieb** [@karimdouieb](https://observablehq.com/@karimdouieb)
\nBrussels, Belgium.\n\nI work at Jetpack.AI, a full stack data science company that I co-founded less than 4 years ago. We build operational applications for cross-industry clients. Nowadays I tend to focus on product design, frontend dev and dataviz but my background lies in academia. In my spare time I love to experiment with new dataviz ideas that bring awareness on certain social issues. Observable is the perfect tool for my way of approaching dataviz experimentation. The members of this community are greatly inspirering to me and I would love to give back to them as much as I possibly can.\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":246,"value":"md`\n---\n`","pinned":false,"hidden":false,"mode":"ojs"}],"files":"$W32","stdlib":"1","titling":"auto"}