diff --git a/components/infoPage/infoBox/InfoAI.tsx b/components/infoPage/infoBox/InfoAI.tsx index 97f230f..ef4a696 100644 --- a/components/infoPage/infoBox/InfoAI.tsx +++ b/components/infoPage/infoBox/InfoAI.tsx @@ -2,7 +2,7 @@ import React from 'react' const InfoAI = () => { return ( -
FloodGen uses AI to generate photorealistic images of potential flooding scenarios to raise awareness, bolster community preparedness, and support local governments resilience strategies. The street view images are transformed with a generative artificial intelligence process called CycleGAN to depict projected flood scenarios. CycleGAN is an image-to-image translation model that takes an input of a normal street view image and reprocesses the pixels to illustrate an image with flooding.
All FloodGen generated imagery that is created with the use of generative artificial intelligence includes a FloodGen logo, located on the bottom-right corner of the image. View the image below for a few more tips on how to identify an AI generated flood image:
diff --git a/components/infoPage/infoBox/InfoAbout.tsx b/components/infoPage/infoBox/InfoAbout.tsx index aaf4e4a..4f9a919 100644 --- a/components/infoPage/infoBox/InfoAbout.tsx +++ b/components/infoPage/infoBox/InfoAbout.tsx @@ -8,7 +8,7 @@ type Props = { const InfoAbout = ({ clickHandler }: Props) => { return ( <> -Today, 1.3 million New York City residents live within or directly adjacent to the floodplain.1 Flood damage is expensive, extensive, and oftentimes predictable. Maps of predicted flooding are helpful planning tools, but aerial views distance viewers from its potential impact. If we show the reality of predicted flooding through photorealistic imagery, could people be more prepared?
FloodGen is an advocacy tool that uses generative artificial intelligence (GenAI) to create photorealistic images of predicted flooding. Projected flood imagery from FloodGen can be integrated within community engagement strategies to:
diff --git a/components/infoPage/infoBox/InfoBox.tsx b/components/infoPage/infoBox/InfoBox.tsx index 8bd5eff..0f08bc4 100644 --- a/components/infoPage/infoBox/InfoBox.tsx +++ b/components/infoPage/infoBox/InfoBox.tsx @@ -12,7 +12,7 @@ import InfoAbout from './InfoAbout' import InfoCredit from './InfoCredit' import InfoAI from './InfoAI' -import Image from 'next/image' + const InfoBox = () => { @@ -25,7 +25,7 @@ const InfoBox = () => { const { setOpenStreetView, openStreetView } = useContext(StreetViewContext) as StreetViewType - + const isDesktop = useMediaQuery({ query: "(min-width: 1024px)" }) const selectedClickHandler = (s: 'About' | "Credit" | "Introduction" | "AI") => { @@ -47,19 +47,23 @@ const InfoBox = () => {BetaNYC is a civic organization dedicated to improving lives in New York through civic design, technology, and data. With an aim to improve access to public interest technology, the Civic Innovation Lab at BetaNYC provides assistance with research, data analysis, and data visualization. This project was created by the Civic Innovation Lab at BetaNYC, with the initial research into the flood image generator model led by Vaishali Talwar.
diff --git a/components/narrative/Ending.tsx b/components/narrative/Ending.tsx index 7dc258f..720567e 100644 --- a/components/narrative/Ending.tsx +++ b/components/narrative/Ending.tsx @@ -4,14 +4,14 @@ type Props = { clickHandler: () => void } -const Ending = ({clickHandler}:Props) => { +const Ending = ({ clickHandler }: Props) => { return ( -FloodGen uses AI to generate photorealistic images of potential flooding scenarios to raise awareness, bolster community preparedness, and support local governments resilience strategies.
+FloodGen uses AI to generate photorealistic images of potential flooding scenarios to raise awareness, bolster community preparedness, and support local governments resilience strategies.
New York City residents live within or directly adjacent to the floodplain. Flood damage is extensive, expensive, and often times predictable
-Source: Info, Photo
+New York City residents live within or directly adjacent to the floodplain. Flood damage is extensive, expensive, and often times predictable
+Source: Info, Photo
Maps of predicted flooding are helpful planning tools, but aerial views distance viewers from its potential impact
+Maps of predicted flooding are helpful planning tools, but aerial views distance viewers from its potential impact
If we show the reality of predicted flooding through photorealistic imagery, could people be more prepared?
+If we show the reality of predicted flooding through photorealistic imagery, could people be more prepared?