BEGIN:VCALENDAR VERSION:2.0 PRODID:-//HasGeek//NONSGML Funnel//EN DESCRIPTION:Build & Narrate Visual Stories using Public Data X-WR-CALDESC:Build & Narrate Visual Stories using Public Data NAME:Chitra-Lekha: Environmental Stories Through Air Pollution Data X-WR-CALNAME:Chitra-Lekha: Environmental Stories Through Air Pollution Dat a REFRESH-INTERVAL;VALUE=DURATION:PT12H SUMMARY:Chitra-Lekha: Environmental Stories Through Air Pollution Data TIMEZONE-ID:Asia/Kolkata X-PUBLISHED-TTL:PT12H X-WR-TIMEZONE:Asia/Kolkata BEGIN:VEVENT SUMMARY:Chitra-Lekha: Environmental Stories Through Air Pollution Data DTSTART:20250628T090000Z DTEND:20250628T120000Z DTSTAMP:20260415T003026Z UID:session/KEbXtwT5euYJkrHknYZgzo@hasgeek.com SEQUENCE:10 CREATED:20250605T172858Z DESCRIPTION:_Workshop @ VizChitra 2025_\n\n# Chitra-Lekha: Environmental S tories Through Air Pollution Data\n![Pollution Stripes](https://github.com /urbanemissionsinfo/AirQualityVisuals/blob/main/visuals/pollution-stripes. png?raw=true)\n\nSchools taught us\, “We cannot see air\, only feel it. ” But sadly now\, we don’t just feel it deep inside our lungs but also see it with our red\, itchy eyes. But there is more than what our irritab le eye can see.\n\nThis session is about learning to see air using data fr om monitoring stations\, modeling results\, and satellites. At the end of the workshop\, the participants will build a pollution storyline of a city of their choice.\n\n## Workshop structure:\n1. **Introduction to the prim ers: (~10 mins)** Copies of primers on air quality data and analysis will be distributed\, along with a brief description of the content. The primer s are designed at high-school level and visualized for the audience to mak e data connections from generation to usage. \n\n2. **Introduction to scen ario players: (~30 mins)** A lot of air quality data comes from monitoring and modelling efforts. Besides its use to understand absolute air quality \, its biggest use is for policy planning - to design an optimal strategy to tackle air pollution. We will demonstrate versions of players (in excel and online) to show how to navigate this data and how to make connections between generating data and designing a strategy - a "what-if" game.\n\n3 . **Atmospheric Science 101: (~30 mins)** It is good to know some jargon i n any field. In this session\, we will play an interactive "find your part ner" card game designed to teach participants the basics of air pollution science. This will help you understand the nuances of the data and make b etter connections between science and communications\, going beyond a mere number-crunching exercise.\n\n4. **A data stroll: (~30 mins)** Participan ts would get their hands on different types of air quality data. They woul d explore simple tables (CSVs) to geospatial data (Shapefiles\, GeoJSONs) and satellite data (GeoTIFFs).\n\n5. **Narrate your city’s air pollution story: (~75 mins)** How do you tell a city's air pollution story using av ailable datasets. In this session\, participants will be guided to tell th eir\, following some examples. Case study material and codes will be provi ded. At the end of the session\, participants would leave with a *ch*art-w ork they created. Here are some of the air quality visuals and simulators that we created. Here are some of the [air quality visuals](https://github .com/urbanemissionsinfo/AirQualityVisuals/tree/main) we created. \n\n![Rib bon Chart](https://github.com/urbanemissionsinfo/AirQualityVisuals/blob/ma in/visuals/RibbonChart.png?raw=true)\n\n![Ribbon Chart](https://github.com /urbanemissionsinfo/AirQualityVisuals/blob/main/visuals/RasterGrids_masked .png?raw=true)\n\nWe are eager to see how participants would design this d ata in newer ways.\n\n**The sessions are designed to be highly interactive \, featuring:**\n\n1. Discussion of comic-style primers\n2. A card game to understand basic jargon\n3. An interactive time with "what-if" scenario p layers\n4. Case studies in the final session\, using pre-curated datasets. Participants will collaborate in groups to explore these datasets\, analy ze examples\, and create meaningful stories based on their findings.\n5. T ime permitted\, a short quiz to engage participants and assess their under standing.\n\n## Key Takeaways\nParticipants would-\n\n1. Understand the ro le of visual communications in air quality management via comic-style book s and games.\n2. Understand the role of environmental data\, looking beyon d colors and aesthetics.\n3. Learn to tell visual air pollution stories wi thout missing out on scientific rigor.\n4. Learn the use of Google Earth E ngine (GEE) to obtain satellite data for any region and chart it.\n5. Lear n the application of simple calculators and linear programming methods - t o combine various data fields.\n6. Leave with a case study and a technolog y stack they are comfortable with (Excel\, QGIS\, Python-Jupyter Notebook\ , Tableau\, etc.) to play with air quality data.\n\n## Prerequisites:\n\nT he session would be useful for journalists\, public policy analysts\, rese archers\, and students. Prior experience working with Excel sheets and CSV s would be sufficient to start narrating a simple story. Data Viz apps lik e DataWrapper\, Flourish\, Tableau etc.\, can be add-ons\, but they are no t necessary. Participants who know can use Python (matplotlib\, sklearn\, bokeh\, streamlit\, pandas\, geopandas\, rasterio) and QGIS can leverage t hem to tell more nuanced stories. Nevertheless\, we'll focus on telling wh atever story you can tell using the available data and science.\n\nPartici pants are expected to carry their personal laptops with any data processin g and visualisation software of their interest (Excel\, Python\, R\, QGIS) .\n\nParticipants can go through our [Air Quality Modeling tools](https:// urbanemissions.info/tools/) page for more details and resources.\n\nThe wo rkshop will be handled by [Dr. Sarath Guttikunda](https://www.linkedin.com /mwlite/profile/in/sarath-guttikunda-3a01149?originalSubdomain=in)\, Found er/Director of [UrbanEmissions.info](https://urbanemissions.info/) and [Sa i Krishna Dammalapati](https://d-saikrishna.github.io/Data/index.html)\, R esearch Associate. \n\n_This session is part of the Workshop Day on 28th J une\, 2025 for VizChitra 2025_ LAST-MODIFIED:20250626T021912Z LOCATION:3rd Floor\, Underline Center\, Bengaluru - https://hasgeek.com/Vi zChitra/chitra-lekha/ ORGANIZER;CN=VizChitra:MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/VizChitra/chitra-lekha/ BEGIN:VALARM ACTION:display DESCRIPTION:Chitra-Lekha: Environmental Stories Through Air Pollution Data in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT END:VCALENDAR