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<channel>
	<title>Jessica Jabr Website</title>
	<link>https://jessicaj.cargo.site</link>
	<description>Jessica Jabr Website</description>
	<pubDate>Wed, 11 Jun 2025 15:20:38 +0000</pubDate>
	<generator>https://jessicaj.cargo.site</generator>
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	<item>
		<title>Header main</title>
				
		<link>https://jessicaj.cargo.site/Header-main</link>

		<pubDate>Tue, 16 Aug 2022 23:26:45 +0000</pubDate>

		<dc:creator>Jessica Jabr Website</dc:creator>

		<guid isPermaLink="true">https://jessicaj.cargo.site/Header-main</guid>

		<description>

	Hello 👋️ I’m Jessica, a Strategic Product Designer and&#38;nbsp;Creative Technologist

Designing products and systems that connect people, technology, and purpose.&#38;nbsp;

👾 tech &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; 💭 design&#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; 🎮 media &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp;  💸 business
 


	

	Select Projects


	I bridge the gap between product and experience design.
My work is at the intersection of emering media and purposeful applications.&#38;nbsp;



	New portfolio launching soon — contact me directly for work samples.
	
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	<item>
		<title>Top Nav</title>
				
		<link>https://jessicaj.cargo.site/Top-Nav-1</link>

		<pubDate>Mon, 04 Oct 2021 20:26:44 +0000</pubDate>

		<dc:creator>Jessica Jabr Website</dc:creator>

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		<description>
	Jessica J
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		<title>Index</title>
				
		<link>https://jessicaj.cargo.site/Index</link>

		<pubDate>Mon, 17 Oct 2022 20:41:27 +0000</pubDate>

		<dc:creator>Jessica Jabr Website</dc:creator>

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		<description>Portfolio‚ 2020-2024Select work

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		<title>Logo</title>
				
		<link>https://jessicaj.cargo.site/Logo</link>

		<pubDate>Mon, 04 Oct 2021 20:26:44 +0000</pubDate>

		<dc:creator>Jessica Jabr Website</dc:creator>

		<guid isPermaLink="true">https://jessicaj.cargo.site/Logo</guid>

		<description>Jessica J.&#38;nbsp;

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	<item>
		<title>Beyond3</title>
				
		<link>https://jessicaj.cargo.site/Beyond3</link>

		<pubDate>Wed, 11 Jun 2025 15:20:38 +0000</pubDate>

		<dc:creator>Jessica Jabr Website</dc:creator>

		<guid isPermaLink="true">https://jessicaj.cargo.site/Beyond3</guid>

		<description>
	Cocone Xenon: Beyond3 Pre-Launch Strategy
	Project Summary: Led creative direction and UX strategies for the social app’s launch. Designed onboarding flows, user experience, and research strategy.



	Onboarding screens mockups
	
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	Pre-Launch Metrics
	Concept Validation&#38;nbsp;Ideation from 0-1MVP BuildUser-flow Charts

	Product Deck
	Available Upon request
</description>
		
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	<item>
		<title>MI: Mycelium Intelligence</title>
				
		<link>https://jessicaj.cargo.site/MI-Mycelium-Intelligence</link>

		<pubDate>Fri, 19 Jul 2024 14:29:25 +0000</pubDate>

		<dc:creator>Jessica Jabr Website</dc:creator>

		<guid isPermaLink="true">https://jessicaj.cargo.site/MI-Mycelium-Intelligence</guid>

		<description>
	
	

	MI: Mycelium Intelligence “Exploring AI and Nature's Network." 
	June 2024 - April 2025&#38;nbsp; &#38;nbsp; 
	






	This installation showcases the parallels between mycelium networks and artificial intelligence, emphasizing connectivity, adaptability, and collaboration. Surrounded by the ambient sounds of these earthy-growing connections, participants interact with generative visuals projected on sinewave panels and bricks made from myco-foam, a material grown from mycelium. These panels serve as both visual displays and audio insulators, while the bricks demonstrate eco-sustainable building possibilities.
&#60;img width="6927" height="4618" width_o="6927" height_o="4618" data-src="https://freight.cargo.site/t/original/i/330b76e977dda522486f57d636d1889eb5c1e51a0ddd22a7e1a3ff058cc19cf0/20240612_MOZFEST24_DSC03157_HQ.jpg" data-mid="214922410" border="0"  src="https://freight.cargo.site/w/1000/i/330b76e977dda522486f57d636d1889eb5c1e51a0ddd22a7e1a3ff058cc19cf0/20240612_MOZFEST24_DSC03157_HQ.jpg" /&#62;&#60;img width="6927" height="4618" width_o="6927" height_o="4618" data-src="https://freight.cargo.site/t/original/i/cfeef6d9383dc2a69660295bd0a4903df893445bb0beb6ab9514710a5ca2e9b2/20240612_MOZFEST24_DSC03164_HQ.jpg" data-mid="214922411" border="0"  src="https://freight.cargo.site/w/1000/i/cfeef6d9383dc2a69660295bd0a4903df893445bb0beb6ab9514710a5ca2e9b2/20240612_MOZFEST24_DSC03164_HQ.jpg" /&#62;&#60;img width="4618" height="6927" width_o="4618" height_o="6927" data-src="https://freight.cargo.site/t/original/i/a7e7f4640c4cbf1b96744bf78966d0e0007931d6e47d1e6442361fbc6e293ab3/20240612_MOZFEST24_DSC03142-Enhanced-NR_HQ1.jpg" data-mid="214922409" border="0"  src="https://freight.cargo.site/w/1000/i/a7e7f4640c4cbf1b96744bf78966d0e0007931d6e47d1e6442361fbc6e293ab3/20240612_MOZFEST24_DSC03142-Enhanced-NR_HQ1.jpg" /&#62;&#60;img width="6927" height="4618" width_o="6927" height_o="4618" data-src="https://freight.cargo.site/t/original/i/e596acec12465d6f7126be99cb0556a3a380defacd88079b25c5a857d897c076/20240612_MOZFEST24_DSC03173_HQ.jpg" data-mid="214922412" border="0"  src="https://freight.cargo.site/w/1000/i/e596acec12465d6f7126be99cb0556a3a380defacd88079b25c5a857d897c076/20240612_MOZFEST24_DSC03173_HQ.jpg" /&#62;


	
&#60;img width="9600" height="14400" width_o="9600" height_o="14400" data-src="https://freight.cargo.site/t/original/i/903fcae7ec0450db5208039f39c2cc7b2bbd115f4fe17042a36c03a437be9954/jessica_exhibition_mar10-02.jpg" data-mid="229316005" border="0"  src="https://freight.cargo.site/w/1000/i/903fcae7ec0450db5208039f39c2cc7b2bbd115f4fe17042a36c03a437be9954/jessica_exhibition_mar10-02.jpg" /&#62;
&#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp;&#60;img width="4032" height="2268" width_o="4032" height_o="2268" data-src="https://freight.cargo.site/t/original/i/cc3d2f5f06b6a3576ff02e884de8117c5f80d6e98f3b512107b19f94555db639/IMG_3174.jpeg" data-mid="229316997" border="0"  src="https://freight.cargo.site/w/1000/i/cc3d2f5f06b6a3576ff02e884de8117c5f80d6e98f3b512107b19f94555db639/IMG_3174.jpeg" /&#62;&#38;nbsp;&#60;img width="4032" height="2268" width_o="4032" height_o="2268" data-src="https://freight.cargo.site/t/original/i/5f4a37c4ceecce169a677b6dbb6b950eece29fbf8d5445947ba99906468d4e8a/IMG_3175.jpeg" data-mid="229316998" border="0"  src="https://freight.cargo.site/w/1000/i/5f4a37c4ceecce169a677b6dbb6b950eece29fbf8d5445947ba99906468d4e8a/IMG_3175.jpeg" /&#62;

     
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	<item>
		<title>SAGE</title>
				
		<link>https://jessicaj.cargo.site/SAGE</link>

		<pubDate>Tue, 16 Aug 2022 15:14:27 +0000</pubDate>

		<dc:creator>Jessica Jabr Website</dc:creator>

		<guid isPermaLink="true">https://jessicaj.cargo.site/SAGE</guid>

		<description>
SAGE
JAN - MAY 2021

	Sage is an app that helps home cooks efficiently find ingredients in their city, including necessary information, and usage tips.
	Tags:UX,&#38;nbsp;Product Design,&#38;nbsp;Design Thinking,
	Case Study

	
	
	
	

	ROLE Designer, Researcher, Ideation, Presenter, Result analysis
	TOOLS Figma, UsabilityHub
	PROCESSES
Design Thinking
Product Design
UX/UI Design
User Research
Personas
A/B testing
ADA
	



	Pitch deck&#38;nbsp;
	Scroll down for the full case study


  
  




	Case Study


ObjectiveIngredient Finding Mobile App

&#60;img width="2473" height="2333" width_o="2473" height_o="2333" data-src="https://freight.cargo.site/t/original/i/e787995fb9669f017b3eb2909ab6c7a4c9cf4dd431b7565d618ef3625d71a84a/Sage---Problem-Space-Exploration--process.png" data-mid="151368784" border="0"  src="https://freight.cargo.site/w/1000/i/e787995fb9669f017b3eb2909ab6c7a4c9cf4dd431b7565d618ef3625d71a84a/Sage---Problem-Space-Exploration--process.png" /&#62;


Outcome
Clickable Prototype 




Process&#60;img width="1920" height="1080" width_o="1920" height_o="1080" data-src="https://freight.cargo.site/t/original/i/3a1e877fecfa99247c8459cb3cf01859b80de02bdb2790c2a31e038736e7cead/3.png" data-mid="151376220" border="0"  src="https://freight.cargo.site/w/1000/i/3a1e877fecfa99247c8459cb3cf01859b80de02bdb2790c2a31e038736e7cead/3.png" /&#62;Interviews&#60;img width="1024" height="577" width_o="1024" height_o="577" data-src="https://freight.cargo.site/t/original/i/880c46ab69e2e5f5713b9d8a8d125a4198eba7127efc877fea2153adbda74c17/Community-Ingredient-Sourcing-and-Sharing1024_3.jpg" data-mid="151362411" border="0"  src="https://freight.cargo.site/w/1000/i/880c46ab69e2e5f5713b9d8a8d125a4198eba7127efc877fea2153adbda74c17/Community-Ingredient-Sourcing-and-Sharing1024_3.jpg" /&#62;&#60;img width="1024" height="577" width_o="1024" height_o="577" data-src="https://freight.cargo.site/t/original/i/2a38d66e66c661656d20b7c7d27cfc73289d88b1dcbc6f1ee1639fcc31e93f0a/Community-Ingredient-Sourcing-and-Sharing1024_2.jpg" data-mid="151362409" border="0"  src="https://freight.cargo.site/w/1000/i/2a38d66e66c661656d20b7c7d27cfc73289d88b1dcbc6f1ee1639fcc31e93f0a/Community-Ingredient-Sourcing-and-Sharing1024_2.jpg" /&#62;
&#60;img width="1024" height="577" width_o="1024" height_o="577" data-src="https://freight.cargo.site/t/original/i/822fb1b5e68bccceebb07afed72d80a126c58bf7538611630162a0780b7de2b6/Community-Ingredient-Sourcing-and-Sharing1024_4.jpg" data-mid="151362412" border="0"  src="https://freight.cargo.site/w/1000/i/822fb1b5e68bccceebb07afed72d80a126c58bf7538611630162a0780b7de2b6/Community-Ingredient-Sourcing-and-Sharing1024_4.jpg" /&#62;

Personas&#60;img width="1920" height="1080" width_o="1920" height_o="1080" data-src="https://freight.cargo.site/t/original/i/8ed9fe2df55f90f1053618b401d631fa0d0cc9df4b3ae424bf6f4e8610243283/Personas.png" data-mid="151375156" border="0" data-scale="100" src="https://freight.cargo.site/w/1000/i/8ed9fe2df55f90f1053618b401d631fa0d0cc9df4b3ae424bf6f4e8610243283/Personas.png" /&#62;Design

MVP Features Matrix

&#60;img width="2457" height="3094" width_o="2457" height_o="3094" data-src="https://freight.cargo.site/t/original/i/34dcf7e169b12060cb45776001d5913457a4ac24fb446f619ea75612859e5dc2/MVP-features-matrix---sage---process.png" data-mid="151368783" border="0"  src="https://freight.cargo.site/w/1000/i/34dcf7e169b12060cb45776001d5913457a4ac24fb446f619ea75612859e5dc2/MVP-features-matrix---sage---process.png" /&#62;

Userflow Chart

&#60;img width="1024" height="577" width_o="1024" height_o="577" data-src="https://freight.cargo.site/t/original/i/e0ed483130d07b121a0e9dcaaf8acf3bdffd0c00baecb38d724a3b8a4f02acf1/Community-Ingredient-Sourcing-and-Sharing1024_6.jpg" data-mid="151362414" border="0"  src="https://freight.cargo.site/w/1000/i/e0ed483130d07b121a0e9dcaaf8acf3bdffd0c00baecb38d724a3b8a4f02acf1/Community-Ingredient-Sourcing-and-Sharing1024_6.jpg" /&#62;


Early sketches &#124; Wireframes


&#60;img width="1154" height="600" width_o="1154" height_o="600" data-src="https://freight.cargo.site/t/original/i/65e6cfecfc77a8da15ad12fd93b0d46a89e16785d5ec751a13b8e295fd553ee5/early-system-design---sage-app---process.png" data-mid="151368782" border="0"  src="https://freight.cargo.site/w/1000/i/65e6cfecfc77a8da15ad12fd93b0d46a89e16785d5ec751a13b8e295fd553ee5/early-system-design---sage-app---process.png" /&#62;
&#60;img width="1024" height="577" width_o="1024" height_o="577" data-src="https://freight.cargo.site/t/original/i/375bb8e01edcc6a38052013f847617953901d32e52cd36dcdc49331b2bac9815/Community-Ingredient-Sourcing-and-Sharing1024_7.jpg" data-mid="151362415" border="0"  src="https://freight.cargo.site/w/1000/i/375bb8e01edcc6a38052013f847617953901d32e52cd36dcdc49331b2bac9815/Community-Ingredient-Sourcing-and-Sharing1024_7.jpg" /&#62;



A/B Testing
Usability Hub Tests


	I tested a series of our wireframes with usability hub and asked the users to:
navigate the wireframes
complete the task of looking up the availability of ingredient “ajwain seeds” in the area. 
Version 1.0.0

&#60;img width="338" height="600" width_o="338" height_o="600" data-src="https://freight.cargo.site/t/original/i/bb803a8605ab08035161f9616136b5a38244a250d026b590421b3a1b0498b1fd/Home-page.png.png" data-mid="151359335" border="0"  src="https://freight.cargo.site/w/338/i/bb803a8605ab08035161f9616136b5a38244a250d026b590421b3a1b0498b1fd/Home-page.png.png" /&#62;
&#60;img width="338" height="598" width_o="338" height_o="598" data-src="https://freight.cargo.site/t/original/i/b0ea40d20be04e97c0dbe5cdc5ec945a508785647b5287778bb9a90c0553cd89/Ingredient-ID.png.png" data-mid="151359336" border="0"  src="https://freight.cargo.site/w/338/i/b0ea40d20be04e97c0dbe5cdc5ec945a508785647b5287778bb9a90c0553cd89/Ingredient-ID.png.png" /&#62;
&#60;img width="338" height="600" width_o="338" height_o="600" data-src="https://freight.cargo.site/t/original/i/00052d749d8dacbc1f8c5a622dc9447bd8ff4c13421329cb2e697f151ac10f73/Map-view-2.png.png" data-mid="151359337" border="0"  src="https://freight.cargo.site/w/338/i/00052d749d8dacbc1f8c5a622dc9447bd8ff4c13421329cb2e697f151ac10f73/Map-view-2.png.png" /&#62;
Version 1.0.1


&#60;img width="338" height="600" width_o="338" height_o="600" data-src="https://freight.cargo.site/t/original/i/97f441ad302328b4bc76e21de80ae97a8ea8cc4c314ec0aea223d29a49116da6/Search-Ingredient-4.png.png" data-mid="151359339" border="0"  src="https://freight.cargo.site/w/338/i/97f441ad302328b4bc76e21de80ae97a8ea8cc4c314ec0aea223d29a49116da6/Search-Ingredient-4.png.png" /&#62;
&#60;img width="338" height="600" width_o="338" height_o="600" data-src="https://freight.cargo.site/t/original/i/b4867520e1af23d596dc08fe154b051575bd7690effcef5676031e751af429d3/Search-Ingredient-5.png.png" data-mid="151359341" border="0"  src="https://freight.cargo.site/w/338/i/b4867520e1af23d596dc08fe154b051575bd7690effcef5676031e751af429d3/Search-Ingredient-5.png.png" /&#62;
&#60;img width="338" height="600" width_o="338" height_o="600" data-src="https://freight.cargo.site/t/original/i/886347eb24c4f4f1d09a385957081e2c6bdd87db7c07e7cb18474f62e9dbca47/Map-view-tapped.png.png" data-mid="151359338" border="0"  src="https://freight.cargo.site/w/338/i/886347eb24c4f4f1d09a385957081e2c6bdd87db7c07e7cb18474f62e9dbca47/Map-view-tapped.png.png" /&#62;
Testing results80% of our user pool falls into the age range 20–40. This reflects our personas and target user age group, but we still included a few users from an older age group to consider these other perspectives.The results offered us a few interesting discoveries. The majority of the users are able to navigate through the frames until the ingredient page, where they have to click on the drop-pin icon to find the ingredient on the map. Only 57% of the users on that page successfully completed this step. This suggests that perhaps the icon itself is not clear enough to communicate its function and that perhaps we would need texts to accompany the icon or a separate button with texts.This has also brought to our attention that perhaps a shortcut button to the map search should be included on the home page, potentially in place of the “drop a pin” button. In addition, we also realized that the burger menu on the home page could also cause confusion because its function is unclear. It almost serves as a stand-in button-for-all at this moment. In our next iteration, we could consider replacing the burger menu with a user profile button. More iterations and tests are needed for us to fully determine the changes in this area.
	
	
Version 2.0
Info page &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp;&#38;nbsp; List to share

&#60;img width="379" height="812" width_o="379" height_o="812" data-src="https://freight.cargo.site/t/original/i/baf0a994a8182ab266f885cb6ac14535208cd7f950a944e5eeb6d4640ac94545/Frame-18sage-final-frames-combination.png" data-mid="151362836" border="0"  src="https://freight.cargo.site/w/379/i/baf0a994a8182ab266f885cb6ac14535208cd7f950a944e5eeb6d4640ac94545/Frame-18sage-final-frames-combination.png" /&#62;
&#60;img width="375" height="812" width_o="375" height_o="812" data-src="https://freight.cargo.site/t/original/i/e44814cdf20eceed47630d8a2115ef24b5c1313f7ae0567eef042a0ca09a7875/Frame-16sage-final-frames-combination.png" data-mid="151362834" border="0"  src="https://freight.cargo.site/w/375/i/e44814cdf20eceed47630d8a2115ef24b5c1313f7ae0567eef042a0ca09a7875/Frame-16sage-final-frames-combination.png" /&#62;
&#60;img width="379" height="812" width_o="379" height_o="812" data-src="https://freight.cargo.site/t/original/i/fe230619b50dc4d463c7d24b896c17afba3ad501548468b113ae15ed76b8bd1a/Frame-29sage-final-frames-combination.png" data-mid="151362838" border="0"  src="https://freight.cargo.site/w/379/i/fe230619b50dc4d463c7d24b896c17afba3ad501548468b113ae15ed76b8bd1a/Frame-29sage-final-frames-combination.png" /&#62;
&#60;img width="375" height="812" width_o="375" height_o="812" data-src="https://freight.cargo.site/t/original/i/f3b56ab782de80a2d9c95fb8a6190a4cd1af383cc677776ce6b72c4d85676680/iPhone-8---13sage-final-frames-combination.png" data-mid="151362841" border="0"  src="https://freight.cargo.site/w/375/i/f3b56ab782de80a2d9c95fb8a6190a4cd1af383cc677776ce6b72c4d85676680/iPhone-8---13sage-final-frames-combination.png" /&#62;

 


Version 2.1
Onboarding

&#60;img width="2289" height="1230" width_o="2289" height_o="1230" data-src="https://freight.cargo.site/t/original/i/2843e59d49fc363696359ce20c2498bf2fefd3a35c3a0948ca864a63d2976de1/Slide-16_9---3all-screens-on-slides---sage-final-design.png" data-mid="151379209" border="0"  src="https://freight.cargo.site/w/1000/i/2843e59d49fc363696359ce20c2498bf2fefd3a35c3a0948ca864a63d2976de1/Slide-16_9---3all-screens-on-slides---sage-final-design.png" /&#62;

&#60;img width="1908" height="1080" width_o="1908" height_o="1080" data-src="https://freight.cargo.site/t/original/i/3447f03479fa25f5e08283d2e5da44c4e0ec24c84db030ec2421573f3ae96b1d/Slide-16_9---1all-screens-on-slides---sage-final-design.png" data-mid="151379207" border="0"  src="https://freight.cargo.site/w/1000/i/3447f03479fa25f5e08283d2e5da44c4e0ec24c84db030ec2421573f3ae96b1d/Slide-16_9---1all-screens-on-slides---sage-final-design.png" /&#62;

&#60;img width="1261" height="988" width_o="1261" height_o="988" data-src="https://freight.cargo.site/t/original/i/935b33e2ee3afd9dc9a14d89c4f1be5b2b69d104c1a275fc22717b56d19c4436/Slide-16_9---2all-screens-on-slides---sage-final-design.png" data-mid="151379208" border="0"  src="https://freight.cargo.site/w/1000/i/935b33e2ee3afd9dc9a14d89c4f1be5b2b69d104c1a275fc22717b56d19c4436/Slide-16_9---2all-screens-on-slides---sage-final-design.png" /&#62;
&#60;img width="3435" height="1036" width_o="3435" height_o="1036" data-src="https://freight.cargo.site/t/original/i/c692d9f6aaf6ecb9b021cb96573344459ffc955657d24911a1070037a9c49036/Slide-16_9---4all-screens-on-slides---sage-final-design.png" data-mid="151379210" border="0"  src="https://freight.cargo.site/w/1000/i/c692d9f6aaf6ecb9b021cb96573344459ffc955657d24911a1070037a9c49036/Slide-16_9---4all-screens-on-slides---sage-final-design.png" /&#62;

&#60;img width="1261" height="1030" width_o="1261" height_o="1030" data-src="https://freight.cargo.site/t/original/i/d9592ab54307a01be79a7e4b0df8bc90ad7bd70e9031a42c06a94a4a2f518a04/Slide-16_9---5all-screens-on-slides---sage-final-design.png" data-mid="151379211" border="0"  src="https://freight.cargo.site/w/1000/i/d9592ab54307a01be79a7e4b0df8bc90ad7bd70e9031a42c06a94a4a2f518a04/Slide-16_9---5all-screens-on-slides---sage-final-design.png" /&#62;
&#60;img width="1122" height="1004" width_o="1122" height_o="1004" data-src="https://freight.cargo.site/t/original/i/d6a9c0f7c239b54b4f2cc66409d8b4ee61b6c33173483b5358536f93e7505d14/Slide-16_9---6all-screens-on-slides---sage-final-design.png" data-mid="151379212" border="0"  src="https://freight.cargo.site/w/1000/i/d6a9c0f7c239b54b4f2cc66409d8b4ee61b6c33173483b5358536f93e7505d14/Slide-16_9---6all-screens-on-slides---sage-final-design.png" /&#62;


User testing synthesis
&#60;img width="2999" height="2728" width_o="2999" height_o="2728" data-src="https://freight.cargo.site/t/original/i/ce0df3cf25dbbfe2331ab923241ace44bf0a40dae61e23acf7cc9b9f004a8049/User-testing-synthesis---Sage---Finals-prepuser-testing-synthesis---sage-app---process.png" data-mid="151368786" border="0"  src="https://freight.cargo.site/w/1000/i/ce0df3cf25dbbfe2331ab923241ace44bf0a40dae61e23acf7cc9b9f004a8049/User-testing-synthesis---Sage---Finals-prepuser-testing-synthesis---sage-app---process.png" /&#62;

Testing results&#38;nbsp;︎︎︎


	After reviewing the testing results, we decided on the following as the guiding principles for our designDesign Principles

	Accessibility,
	Aesthetic-
	Confirmation &#38;amp; Consent,
	Usability Effect,&#38;nbsp;
	Hierarchy of NeedsAesthetic Principles

	Highlighting (such as making a button green to be pressed),&#38;nbsp;Iconic Representation (icons across the page for similar indication of ingredient, map, home, back…)Information Display Principles

	Progressive Disclosure (For the ingredient page)	Feedback Loop (adding info on map + reusing it in the ingredients search)
	Chunking (combining many units of information into a limited number of units or chunks, so that the information is easier to process and remember. ie: recipes, ingredients, cuisines)

	


Reflection


	One of the challenges that have surfaced during the creation of our wireframes has been how best to approach (or avoid) design iteration without a clear brand identity. There is a balance to be struck between the focus on usability at this stage, and the need for certain basic design elements that can be used to inform the user in important ways through emphasis, de-emphasis, color coding, imagery, iconography, etc. It is rather easy to get hung up on even the most simple methods for indicating the brand mark (“why is it a circle?”), color hierarchy (“why green?”, “lets stay away from red”), tints, drop shadows, etc. Without a clearly defined brand identity, these decisions risk taking on a lot of undue significance and attention when it appears that our primary concern at the wireframe stage is with how well our product functions. 
	As designers, we always strive for the perfect combination of form and function (except when we don’t), but this is easier said than done, and so this feels like an important inflection point.


</description>
		
	</item>
		
		
	<item>
		<title>Park of the Future </title>
				
		<link>https://jessicaj.cargo.site/Park-of-the-Future</link>

		<pubDate>Tue, 16 Aug 2022 15:14:28 +0000</pubDate>

		<dc:creator>Jessica Jabr Website</dc:creator>

		<guid isPermaLink="true">https://jessicaj.cargo.site/Park-of-the-Future</guid>

		<description>
A Park of the Future
SEP - DEC 2021

	
A Park of the Future is a semi-speculative park of an imagined future reality of an existing park in Brooklyn, New York. This park has been created as an immersive experience in VR, built in Unity and some of the elements have been designed &#38;amp; 3D modeled in SketchUp.
	Tags:Design, Product Design, VR, Mixed Reality
	

ROLE Designer, Experience Designer, XR Designer, Unity Developer, Researcher
	TOOLS&#38;nbsp;
Unity, SketchUp, Figma, Slides&#38;nbsp;
	
Objective

XR for the Real World 	- Park Redesign for VR
Creating a digital immersive environment

&#60;img width="2878" height="1516" width_o="2878" height_o="1516" data-src="https://freight.cargo.site/t/original/i/3f9ce9d2806cd86375f722cb8b73747d1def4a7e02c43e565242789348553690/Living-around-the-park-POV.png" data-mid="151389198" border="0"  src="https://freight.cargo.site/w/1000/i/3f9ce9d2806cd86375f722cb8b73747d1def4a7e02c43e565242789348553690/Living-around-the-park-POV.png" /&#62;
&#60;img width="2880" height="1516" width_o="2880" height_o="1516" data-src="https://freight.cargo.site/t/original/i/55e150f8f38b7be43477179ed39563569107a1f18b42167357780dacc92da137/at-the-entrance-pov.png" data-mid="151389195" border="0" data-scale="99" src="https://freight.cargo.site/w/1000/i/55e150f8f38b7be43477179ed39563569107a1f18b42167357780dacc92da137/at-the-entrance-pov.png" /&#62;
&#60;img width="2880" height="1514" width_o="2880" height_o="1514" data-src="https://freight.cargo.site/t/original/i/a092bd31cf11c643164b0094be046993e6673cd48956d0a5eb343bd36944ad3c/Screen-Shot-2021-12-18-at-5.20.38-PM.png" data-mid="151389284" border="0"  src="https://freight.cargo.site/w/1000/i/a092bd31cf11c643164b0094be046993e6673cd48956d0a5eb343bd36944ad3c/Screen-Shot-2021-12-18-at-5.20.38-PM.png" /&#62;
&#60;img width="2880" height="1516" width_o="2880" height_o="1516" data-src="https://freight.cargo.site/t/original/i/5bdf74e09b10b97417a1ac8c1e0fbc82e01a3c5e13c4d627a31cd36e6cc5e85d/view-2.png" data-mid="151389300" border="0"  src="https://freight.cargo.site/w/1000/i/5bdf74e09b10b97417a1ac8c1e0fbc82e01a3c5e13c4d627a31cd36e6cc5e85d/view-2.png" /&#62;
&#60;img width="1724" height="970" width_o="1724" height_o="970" data-src="https://freight.cargo.site/t/original/i/87ca4af381b960ebf965816a7aede16ffcb6c9a563ea60335ce250571ef534a9/Screen-Shot-2021-12-09-at-5.14.48-AM.png" data-mid="151389253" border="0"  src="https://freight.cargo.site/w/1000/i/87ca4af381b960ebf965816a7aede16ffcb6c9a563ea60335ce250571ef534a9/Screen-Shot-2021-12-09-at-5.14.48-AM.png" /&#62;
&#60;img width="2880" height="1516" width_o="2880" height_o="1516" data-src="https://freight.cargo.site/t/original/i/0b16c17b561b4d321181b6adbe64678ccd9610c443a129006ecfbf0ac563bc39/Screen-Shot-2021-12-18-at-5.31.09-PM.png" data-mid="151389285" border="0"  src="https://freight.cargo.site/w/1000/i/0b16c17b561b4d321181b6adbe64678ccd9610c443a129006ecfbf0ac563bc39/Screen-Shot-2021-12-18-at-5.31.09-PM.png" /&#62;
&#60;img width="2878" height="1516" width_o="2878" height_o="1516" data-src="https://freight.cargo.site/t/original/i/7abb2ef9ca0356192da37a5171c5b19bca2e29d0ad69b3aa74bbf92022196a14/view-5.png" data-mid="151389309" border="0"  src="https://freight.cargo.site/w/1000/i/7abb2ef9ca0356192da37a5171c5b19bca2e29d0ad69b3aa74bbf92022196a14/view-5.png" /&#62;
&#60;img width="3024" height="1502" width_o="3024" height_o="1502" data-src="https://freight.cargo.site/t/original/i/1112f5f68e33932e0ef6e406ab4f0a8ebb53ad56720d36081ee7999cf3494803/POV-Entrance-.png" data-mid="151389252" border="0"  src="https://freight.cargo.site/w/1000/i/1112f5f68e33932e0ef6e406ab4f0a8ebb53ad56720d36081ee7999cf3494803/POV-Entrance-.png" /&#62;
&#60;img width="3018" height="1504" width_o="3018" height_o="1504" data-src="https://freight.cargo.site/t/original/i/02f7e0a6840f78c631f13b6a6168e675266b92a264bcb827904dfb9320352c00/POV-Cafe.png" data-mid="151389251" border="0"  src="https://freight.cargo.site/w/1000/i/02f7e0a6840f78c631f13b6a6168e675266b92a264bcb827904dfb9320352c00/POV-Cafe.png" /&#62;


Outcome





Process
Re-designing Thomas Greene Park, Brooklyn - New York&#38;nbsp;The site is the Thomas greene park in Gowanus. It is a neighbourhood park that’s meant to be a haven for the community.
 
ObjectiveRedesigned the park putting the community at the forefront.

Research
Site visit

&#60;img width="2406" height="1334" width_o="2406" height_o="1334" data-src="https://freight.cargo.site/t/original/i/a89a1e183b515d0c2fa179390c9a580ef381bd196761688ec650537b4c8c74be/XR-SITE-AERIAL-1.jpeg" data-mid="151427472" border="0"  src="https://freight.cargo.site/w/1000/i/a89a1e183b515d0c2fa179390c9a580ef381bd196761688ec650537b4c8c74be/XR-SITE-AERIAL-1.jpeg" /&#62;
&#60;img width="2330" height="1328" width_o="2330" height_o="1328" data-src="https://freight.cargo.site/t/original/i/7cb15e23aa28bd7b3eb639e9ca2ce783570dfe2c8c3ee3aca8c85e0717674e27/XR-SITE-AERIAL-2.jpeg" data-mid="151427473" border="0"  src="https://freight.cargo.site/w/1000/i/7cb15e23aa28bd7b3eb639e9ca2ce783570dfe2c8c3ee3aca8c85e0717674e27/XR-SITE-AERIAL-2.jpeg" /&#62;
&#60;img width="900" height="1204" width_o="900" height_o="1204" data-src="https://freight.cargo.site/t/original/i/9d2f5144c2368f6e533287c9cff7528125574e4860f005ff7e8b37ed96a75140/Park-photos-2021-10-14-at-6.19.51-PM.png" data-mid="151430260" border="0"  src="https://freight.cargo.site/w/900/i/9d2f5144c2368f6e533287c9cff7528125574e4860f005ff7e8b37ed96a75140/Park-photos-2021-10-14-at-6.19.51-PM.png" /&#62;
&#60;img width="904" height="1600" width_o="904" height_o="1600" data-src="https://freight.cargo.site/t/original/i/0a3f8dbf126b2aca0e6fdaba204f7f7c61b8b03bb01318ffac70a1ff9c40925a/Park-photos-2021-10-14-at-6.20.28-PM.png" data-mid="151430262" border="0"  src="https://freight.cargo.site/w/904/i/0a3f8dbf126b2aca0e6fdaba204f7f7c61b8b03bb01318ffac70a1ff9c40925a/Park-photos-2021-10-14-at-6.20.28-PM.png" /&#62;
&#60;img width="898" height="1180" width_o="898" height_o="1180" data-src="https://freight.cargo.site/t/original/i/a544a85ccb8b10014aae5d9ad9b8abee4d1fe3c49f262d53f49ee63757aba23e/Park-photos-2021-10-14-at-6.20.04-PM.png" data-mid="151430261" border="0"  src="https://freight.cargo.site/w/898/i/a544a85ccb8b10014aae5d9ad9b8abee4d1fe3c49f262d53f49ee63757aba23e/Park-photos-2021-10-14-at-6.20.04-PM.png" /&#62;
&#60;img width="902" height="1598" width_o="902" height_o="1598" data-src="https://freight.cargo.site/t/original/i/5a484510b418146028247e4fae16da2907a46df24ae5c80d61f6c6732701fede/Park-photos-2021-10-14-at-6.21.19-PM.png" data-mid="151430263" border="0"  src="https://freight.cargo.site/w/902/i/5a484510b418146028247e4fae16da2907a46df24ae5c80d61f6c6732701fede/Park-photos-2021-10-14-at-6.21.19-PM.png" /&#62;
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&#60;img width="896" height="1600" width_o="896" height_o="1600" data-src="https://freight.cargo.site/t/original/i/9aacc3e15da10750825027aa15fb852a4b96feb9a7aa429a095f36d590669ea5/Park-photos-2021-10-14-at-6.22.15-PM.png" data-mid="151430265" border="0"  src="https://freight.cargo.site/w/896/i/9aacc3e15da10750825027aa15fb852a4b96feb9a7aa429a095f36d590669ea5/Park-photos-2021-10-14-at-6.22.15-PM.png" /&#62;
&#60;img width="902" height="1020" width_o="902" height_o="1020" data-src="https://freight.cargo.site/t/original/i/ddc813051132cdaf7c4287a1d0230efe114a75312e4b3305f968ee352363589e/Park-photos-2021-10-14-at-6.22.43-PM.png" data-mid="151430266" border="0"  src="https://freight.cargo.site/w/902/i/ddc813051132cdaf7c4287a1d0230efe114a75312e4b3305f968ee352363589e/Park-photos-2021-10-14-at-6.22.43-PM.png" /&#62;
&#60;img width="900" height="1416" width_o="900" height_o="1416" data-src="https://freight.cargo.site/t/original/i/f4312ccd3146dc50cad221972e42cfc92895b57fa236d9c5bf20d0eccd3afba5/Park-photos-2021-10-14-at-6.25.11-PM.png" data-mid="151430271" border="0"  src="https://freight.cargo.site/w/900/i/f4312ccd3146dc50cad221972e42cfc92895b57fa236d9c5bf20d0eccd3afba5/Park-photos-2021-10-14-at-6.25.11-PM.png" /&#62;



Inspiration  
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Brainstorming
Sketching
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3D Modeling


Development</description>
		
	</item>
		
		
	<item>
		<title>Machine Learning</title>
				
		<link>https://jessicaj.cargo.site/Machine-Learning</link>

		<pubDate>Tue, 16 Aug 2022 15:14:29 +0000</pubDate>

		<dc:creator>Jessica Jabr Website</dc:creator>

		<guid isPermaLink="true">https://jessicaj.cargo.site/Machine-Learning</guid>

		<description>

	Machine Learning Stunning Afterglows
FEB-MAY 2021

	
Image Machine Learning training using StyleGan model. Python coding &#38;amp; Tensorflow
	Filed under:ML, Design, Coding
	
&#60;img width="1920" height="1080" width_o="1920" height_o="1080" data-src="https://freight.cargo.site/t/original/i/8eb68951f08d7f0f1694d1726ca3cf8c25d95f7791232d4ab8a7cf30f2875c71/9.png" data-mid="151641353" border="0"  src="https://freight.cargo.site/w/1000/i/8eb68951f08d7f0f1694d1726ca3cf8c25d95f7791232d4ab8a7cf30f2875c71/9.png" /&#62;
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&#60;img width="1920" height="1080" width_o="1920" height_o="1080" data-src="https://freight.cargo.site/t/original/i/e90106cc5752cc14ff073c6ac7f61ae0226c98f4d0d6810ac1c5a46d28b32f62/7.png" data-mid="151641351" border="0"  src="https://freight.cargo.site/w/1000/i/e90106cc5752cc14ff073c6ac7f61ae0226c98f4d0d6810ac1c5a46d28b32f62/7.png" /&#62;
&#60;img width="1920" height="1080" width_o="1920" height_o="1080" data-src="https://freight.cargo.site/t/original/i/72b1eb414d94bdd3edce66a12bd6fce1491d54c2dd139b4b2932d86db1195bac/10.png" data-mid="151641354" border="0"  src="https://freight.cargo.site/w/1000/i/72b1eb414d94bdd3edce66a12bd6fce1491d54c2dd139b4b2932d86db1195bac/10.png" /&#62;
&#60;img width="1920" height="1080" width_o="1920" height_o="1080" data-src="https://freight.cargo.site/t/original/i/e90106cc5752cc14ff073c6ac7f61ae0226c98f4d0d6810ac1c5a46d28b32f62/7.png" data-mid="151641351" border="0"  src="https://freight.cargo.site/w/1000/i/e90106cc5752cc14ff073c6ac7f61ae0226c98f4d0d6810ac1c5a46d28b32f62/7.png" /&#62;
&#60;img width="1920" height="1080" width_o="1920" height_o="1080" data-src="https://freight.cargo.site/t/original/i/5569a19a8bd126be190fba0d142cf63c64963335aef834bdab6430cdc539a9db/11.png" data-mid="151641355" border="0"  src="https://freight.cargo.site/w/1000/i/5569a19a8bd126be190fba0d142cf63c64963335aef834bdab6430cdc539a9db/11.png" /&#62;

OverviewI’m working with my own photos of “sunsets” which I’ve taken over the years. These photos have been taken in several countries and regions in the world. Sunset time is special to me and it gives me hope of a day gone and a new day coming. It’s also very dreamy and romantic to see how the sky’s colors change. Most of the sunsets in NYC are beautiful and the colors are stunning especially when it turns pink but this is only because of pollution. The more the air pollution, the more the sky turns pink when the sun is setting. 

I hope to use the machine learning from the colors of the sky at sunset time to show variations of patterns in relation to pollution, and also use these patterns to predict more beautiful sunset skies. 
Concept ExplorationAir index quality affects afterglow colors in sunsets especially in populated and dense areas, where air pollution is higher.Comparing and contrasting between lesser density areas and afterglow colors.Leveraging this tool for creating unique stunning sunset backdrops for design.&#60;img src="https://lh3.googleusercontent.com/Iwh8-gzvf9jKJNmlkKfNSscjiXFpCZN52ouWxkEdHIRXv1sqdtPJ8HGRGvphT9RdNiJ97bo0v5JlCI5pGLvVZEWXSoFwgKWUaa5Vr4-9MDCyvE1XTX0JroUEiFN8OyRmD6yBBnx5dpXPJ0c-bZ4IzZflyVA0PWWSu3-_gkGkvCMxCx4Fg-RWPSPy" width="431" height="654" style="width: 431px; height: 654px;"&#62;Dataset
1st dataset: 1470 photos, 629 frames extracted from 2 videos using opencv [by Aarati Akkapeddi https://colab.research.google.com/drive/1WWHNG4YqGSHfIYIUrC2tmoPQ3HOgU--e]
I have 2 videos which I transformed to images to add to the dataset. In total I planned to have around 2000 images for lengthy periods of training.

This dataset included photos taken in the U.S (several states), Lebanon, Spain, France, Turkey

Resized to 256x256

All in jpg format

&#60;img src="https://lh3.googleusercontent.com/3yjCVblHHF2KTr1JspdErleZDnOVaOOEhqHeHuAmCgGyfCb0mGIp3pB0MmY1JtkfYIASyAJ8uF_GjLgWAZsslJbE77EsytjE6wVgzxyaPnVDTNwjCXGcaseUThUu1-eKn5BGXFeyWhUWLL3JfyJTmmlXk1fy8aYHcAGOB75UfTjQUG6_h1MOf7Z-" width="624" height="481" style="width: 624px; height: 481px;"&#62;

2nd dataset: 787 frames, taken in New York City on June 25, 2019

extracted from 2 videos using opencv [by Aarati Akkapeddi]

Resized to 256x256

All in jpg format

&#60;img src="https://lh4.googleusercontent.com/ytnvTpaXD8KWrXijj0Us2qiDPFbo9EfDFydllZB271Qe_6YFpuoppR77zukt-_Fu-3NXhEFObn0UcRCHIYNsZtXBOPP27aTXNqGb_cC4vrG35ihcjTPJ7nB9sasJWmQyHHhBRuOjZGn-Mjc0sBmqL6AjSwnGMC8wH-jDZKpX36j4_KqJDEojoNSW" width="624" height="484" style="width: 624px; height: 484px;"&#62;
Training ProcessI trained dataset 1 for 20 hoursDownloaded pkl filesInterpolationGenerated a new dataset with generate.py code and selected names it dataset 2I started re-training on the same worksheet, trained dataset 2 for 16 hoursInterpolationThen used the last pickle file from dataset 1 training (000266.pkl) to train it with dataset 2 images. (cross pollination). Used the learning from the last dataset onto the latest training.InterpolationDownloaded pckl file 000048 from the last combined training (14th).&#60;img src="https://lh4.googleusercontent.com/lVjU1VOqn8JjqCHzda5YdDUnVIJz65RkufzO1RXLqSdR5clb9unTWGNgurl-lpmKMk32XumIR9LKWkYVNyqv-kBr477ys66w_SDSIEldEaYrn9YiBJ2aK2Od0lhYqs8eH_Ph_Pxo6jVxgaWF-RGzpBB9wM0jnBlY4e8Ki6bDBIOodaXUJETvjj8J" width="624" height="173" style="width: 624px; height: 173px;"&#62;&#60;img src="https://lh4.googleusercontent.com/rt28FU3ITgkDBzNogTzF3hQyUmyLSFz9oaJwU0sT90T2snQki_oqX8efytGfYOYclZhgHnI3FUdJeAXNzUvq650Ye7MS0buEdqXsQ8sV7ZezBjk0zNHrXOz94A_ULQ_jXCfljs61w1spOgSFyAfSEYGVhOSy2_mKAbxT04U6sHQuW19WlRIT3cwY" width="624" height="255" style="width: 624px; height: 255px;"&#62;
&#60;img src="https://lh4.googleusercontent.com/PTptiGtP3dUPko7XLfBemI4fBUlLo3eQm2HLcIb9grgrHlb-pofVhekBdfzgZ5G4hP0IaO-jk5jsVWm7avGLMh_e7bbqSuxQpy3Zfmkp0dU3r-W42818_ZF9DCKNJgXek8dfxod0jxGb8j7536i_sVFwJ1a-FhZ3W0lRpeI8yknDvjtRh-b_2vDc" width="624" height="391" style="width: 624px; height: 391px;"&#62;
Outcome&#38;nbsp;
Seeds from training dataset 1


&#60;img width="256" height="256" src="https://lh5.googleusercontent.com/Y-P3yT5cB_ynoyMVUTShAE1J630VKwua4VbOJANCl6XyO-IxiNS_Gk5tiIDwfrH9Jnl599fiyULT6ucIwxt0BDoA51SNwkxQUneXblCKHkpPAdwscs0Wkevu3ExjWc4w6R7M7MTpqAs05cqihhUk1ueWFCynIbGhXg5lrMPFRwraqvpPWS4oZiXe"&#62;
&#60;img width="256" height="256" src="https://lh3.googleusercontent.com/cwAyiFj0VbFBdilJE-4MFS7FJbzoNfX2NIrLOSztqrUEKd4jI7uhCytW7A8agQW8_gGXTcBqZryH-Y4JXGpzDlwjqQUizaveiyIZN34W4Cve1w1092UkZ5j5LHrQuHZ9SCZDF71eq10h7JLKq_TE0tIGT7FfzS43AniOXiU_SPnmczQ64m8FXGKi"&#62;
&#60;img width="256" height="256" src="https://lh4.googleusercontent.com/ZkvX8qpwc7kNyDleMeeD5gDj-YY78KyDvGOb-vm82hqhyZCPFUd_ZQ3SV4AZxJHLvHXWUt8h-yjGH2cjxnav7fDftah1ba9ZFO9E2UaXDiL1Ho3QSQQjMR5I3NfMQYSVdCGZmgmoac-YRFF-dkJzZglFsuNUG9ecp3gKb0Lvm-R_uikn5hBF-zSD"&#62;
&#60;img width="256" height="256" src="https://lh6.googleusercontent.com/sYK44v-2_TM9KiTYOX58qr8W5HNGQRK872bTEa-RryQosmfs2kUXxDD5Zmqai9fv7ekowjyWt-9e--5s1j3-LdyaCbw5nA-8A7CcX33yPKml8RMG-NNAWqJZjw0IQeppcjjCAEvM-pqX4r4iWXISRa9Lequ-IOXP3gf8GKxJR_MtG5tciFo8jh2T"&#62;
&#60;img width="256" height="256" src="https://lh5.googleusercontent.com/TvFsw6AocwZr_lrqdtjKDo38QsRN55LlILApOX73cBlh3H5lpKDknh4_3HGOAP2ElpR6H9Av0oEmCjvnXcWTQgPJhyBfLOy0F8C1wAW2Has8SNrQKBH5Fwn6UAXq2sY6OnZtlDj-Y6szkeaZZipVe4iu5MpSF1qKLLCgGd9tL2aoats14ga9ocwi"&#62;
&#60;img width="256" height="256" src="https://lh4.googleusercontent.com/6T59Tt6U1Y44Mwr1ciEegh9JMbvnVaAJYHTeUN6vH46RRtZmfpLN7jKIBRmKsvrAeQ3PYbcuVqv9qc1k65-Jar_IvtY4c2gWBicSRamk8oUnLRnsVE2iUmKUaXvnKb0xt8P3Qfa9u05k_lt4VEvj9EzJys6PjUwSByDiyCSFmudEuKPNeYKpStCP"&#62;


Seeds from training dataset 2 

&#60;img width="256" height="256" src="https://lh5.googleusercontent.com/fuoSU1cFfU2JDeoRJ1n8sc71HNxG2ELP5pkXc7gFrgO4ZYzCbmsGTEbPSF_IxtiqVWNnZIxgtIZtlOCJ2hA7YHu2mF5BLqwhRGRfZlQDDdpgAfMRaa0aF1WaM3x_PRvFCjVlRWuLi5DKRKMOWd5H2v9fYvSc6g0lmxfyjcuV4yjQdB7V9cWht-zr"&#62;
&#60;img width="256" height="256" src="https://lh5.googleusercontent.com/fKZcoxRqfzxUKJxGkTwLlWxA57caUrRQ8A2u5aqGpI_JK7ykvxnSBqR41cvSbuMTUqJ6oo-jg232I9MbmLvOzRwXhTLbEnupVsfX5XODtIbwcO2hXdaYkWl8L_497Gb24a8fofgposxs_zcbSDdIp09cVD6y9SmWlYsFpft_SPapG6gqok_W4dTi"&#62;
&#60;img width="256" height="256" src="https://lh5.googleusercontent.com/fsJefktHl6s-c_xgr0AQvCpcUQBeIxcCyToO07lRpUKbiJBcvDmlLpB7SnxBHxGmgL5vA5nUOAavod5UAos-VmSJB6tWQ7DjufmRgbLBf6eW41kTY1CDjiI0DgTQyuBQ3nYYtMqNvTts51sN6wuMoqivfGkpy4PLn0OsnvBh7dmAoP3QFzk33B00"&#62;
&#60;img width="256" height="256" src="https://lh6.googleusercontent.com/A7SrssoOkJf4AQhImbAUZunYu_UYSE8UWx0Crs4z12y7dA5LvxuW14_86msb3KPbk7-GTnc9pG4LVRmBwClV_iK32VXRscq2PW46yIEGD8TFmWqm0VQu6l1ZVu_B7W4zqfgEdvJiehEMVu6IBGqMWty8Y0GNwWpekUsnc8OF240AmEhOd_R6Ye5S"&#62;
&#60;img width="256" height="256" src="https://lh5.googleusercontent.com/7n_wy6Cv9Dck-zp9CoOJkjvgyMj4AAQNQB12IReUgJpyROVliFqXHDzsS6V2UEQmh88cSzaWSzpcQX1vTBV-2Q6uZgLI9Sxa6rMCcWoOk2CjdeMWjemYdi0ZSu41Ds35d1In5Pg57SR0nNFHMu43VO2Cx8gW1Cd1HgcZL9TbhVvq3m6hZb363lT2"&#62;
&#60;img width="256" height="256" src="https://lh3.googleusercontent.com/RmNz6VLy7pbJgHLusOofeDAFNI61-MIJ-jsaHTXmLlqgrkDfKZCeipq5p0rhU4-NP6LpC9A0mkPiCfoqYr99pQNBJPLPTJO8nmuOUWZiA7Fkdl9VOPwI1eOF8dXjWLarTak0fVwOqM83QHFL_E5hIrIKNZQWTjMt_YKzjLxsPyv6D3u_1jrNvMo_"&#62;
&#60;img width="256" height="256" src="https://lh4.googleusercontent.com/PV8hj0FHCTNC-_nJIkiCVk21l75haA9-ZItLeeVMvGErVZ1x8vRlTDhcROv6yWp9Ygt-aOljZb_2Bs-AhSteV85SSEZYyAMoYJWc-OblfEioWoYujSTiNyE7uJye_MYx0dtnrA0eGJrea_otBeunH5ForPhlfRNdKuq46PDqq2fdk0a2qc1Si-fM"&#62;
&#60;img width="256" height="256" src="https://lh5.googleusercontent.com/DFYcd7is9yUYCL9L0jDiwNFoXXDomEjkLeoR80kicUFxOUukgL3dcbl5p-nVJLESB7ni5sfrcAm1c7Lc852svgkOok1yilW7PiSJjIIlHgUDIuc25qa7rZlgEy3__O1ZbvvMemnYfqYiri0FNM1PrRJUJFTM5uQ_jc7nD7IkIzQTuwRK76JpvAcy"&#62;
&#60;img width="256" height="256" src="https://lh5.googleusercontent.com/25kgf-yig2UiP8nRQpOD-z_goznqGSFkVxuAnL-RJXh3C-cMi1-5DMBtJn-waksGJcMpgvI32tmd4My6Ae6GtK5pARbIILpnPdy9Qv2MhV2-fIblwqp0Mv-j0z_Lf1DY50ZQ7vG85114uvj7D2h5Wo7Ke-Ku6zj2FBDN53UqmTriZyP3_m8ifSxE"&#62;
&#60;img width="256" height="256" src="https://lh6.googleusercontent.com/nxMzVVKKBvmoffWDJLfdj0dTRQdmuON-PneekhkrYKWc2yF1aVoA6XsNjXlDXhpqtgP2K_ORZbJ2Z56rpevLZNGGFa81kfP_98_CgMJkUfpilGqhQ4N5l7NTGi92Fxzu2PH-s2oaVyofPUWJbWMKuHPhuSKH5uuNc7lo7R1GjQ6iN480dICSumnB"&#62;
&#60;img width="256" height="256" src="https://lh4.googleusercontent.com/DKVAAr2PdRvRUORNmoeL41zCPmSY3dNtRG5cMb1TUYckOAyQi9YhxDbxV6i3gq07IaEvDiwjIuogCcNuuPg24s6sSN77cHcUaQbzKeYm-wrQjLCLrPb4hWXb4iFkp2P-sskPP-nPSaSgj8gBjEFz4kbhrQrjc_PS8x-Mbo_ufwPSiWylgYNpeizF"&#62;
&#60;img width="256" height="256" src="https://lh6.googleusercontent.com/4LO7trObp1PAk1hh1pqMSTBN1IbEtWehmtrQKBd9lkzYuRXWAhKU1DZJkmGT_7SM5obzK8eXnD_SayJgI5a2nEPhOgwYpwzL1NF6ppojbz-4ZaxQvofQum6DuN8f0ZUJ_cGleGU2ncazeeri5-9yNqITXkwerAXUONh27TKCNqAImfuAp8vwYgNH"&#62;
&#60;img width="256" height="256" src="https://lh4.googleusercontent.com/45zCKl9KOP24U93SUNm5nlxjBZ9mcnlQ2c_ysOfvTuncUwJY-GzQFviu6x9v2V2YxEYsJAHPoW2c_-MfOai_6HU-Ao3tFP2uvzrIOYzPnm5nbssjtfBwLQr8YPX3XfzH5RUWMMBrOZdl6ErKXJnH4BQE7PggiaWYyk9gt-mon3Z5j47QcaWp5SyB"&#62;
&#60;img width="256" height="256" src="https://lh5.googleusercontent.com/Pse7eDI1Vd88Rl1VqRG38JhFYtL7QV5XdV7L6vEk0Gl7RLIjRgzP2K9dIdpLicX-XI2AHCfSSDEDj78spar_17WEECdZFxkgFuG3UDRfMDlF8kymkfXEg2rJwYA_poHHiVR_SSzx_qGI5Wu43GJh8R-oWteC_Dy6JXvBFEjRnw2FmQrKRXPYrhlR"&#62;
&#60;img width="256" height="256" src="https://lh3.googleusercontent.com/BiS05KS2LbwTaWhe_6E_Wgr6M6NmkEJ2aR28LJrkCFqu8qc7dw16vBnh8uYfxcQCXGhJZC2Im94ZP4yiB-pC_pY79j3N9jVMLtg8s-tTBeCk23N4gp9lE8M0XkQbGki4DCabBgre7RMKyNXzt-w8xxWj9wHEp4gvKv6z2w_OMKYw88A319lFhLzi"&#62;
&#60;img width="256" height="256" src="https://lh5.googleusercontent.com/eiAGtczEnziyBYFp6eJmBby5caUVapMo7dA7Rg74B1CJaCdIPHkMlwa409zbZV2NpTMHof7TsaPjCYvzfoZb5w_pFaVfle9t-VYPCOMl1PAHP5ac9kJEdxjbCyoE-O7U8DT_diqnwCwAaxB2Gl_nGv81uSjMN_UMdYA1qaV45-E1X8d81SOl02yy"&#62;
&#60;img width="256" height="256" src="https://lh4.googleusercontent.com/F5tzFp56G758Gfu6oVbK6COfb8a_5h_Dt3g4hCTBzTgZRQE6Ngp30AiyDIPaezqN17d7q3Jmdh8-h8GClprOfivSUHRU0jrFvjUcAEpJi6pbd5UGfSNDz5bcTR2b6As_v_rQV97RdvtgD3Nw-Qwo6qN662XsekGmCIrfb5yGjm9t0u7A7d5i5aDX"&#62;
&#60;img width="256" height="256" src="https://lh5.googleusercontent.com/A9NumSGt44XhK6lnDSb7VHH5tdGSAhoGII9IbHVtYUFLX0er8ZT5OV9dJ6AZVrXzc7Qvu-QH3KaP07BsNmsJUHDv27eKMDNBQtR97Lzx7iCMV9J0IDRx9_cQDbnelOeTPdLlkGrzDyVIVVn3JWUNxO6VYjnQeYvszyBgbAeP_I9aZjgAuAdRjFm-"&#62;
&#60;img width="256" height="256" src="https://lh6.googleusercontent.com/3d1NodH6ryiATVCwdD6hhcIptlsYJOioF7O0q5yb_wsLT6uGThBC1JAR60TunJsPVpXseAEChtDhJl8yRXyp51VvAZVr_eSlHCrFHTgUyJa2EDiipzRmnc2sBaPH-OGEGm-6hCHcCFvcF_uAyxwzfIZ4mDUeF8YNFwy8B-f5FMAt2m1XsE0Z92zH"&#62;
&#60;img width="256" height="256" src="https://lh4.googleusercontent.com/BCuM2EfEI_0KuaS8BY-DSnWgZlEFhy_4ORSOllS-4Z8bkBaJ38c9oiuwQNitSUGBNNhzyX-oAJI_VZdUoymrR3ry7m9EvHVbN4nu2KvgULcQ29IuQQ4OJ7EdzfGU4HBAT9Nf18GIVhRxDZSseAkVQMseow5h6eELmUu_t2E_K2hh_P5zf1vJx26C"&#62;
&#60;img width="256" height="256" src="https://lh3.googleusercontent.com/6sMRjgIWIOXdNSQEZ3GW7sinmHajWqUrIf-Zucqzee1XHaHEpPvqJQbgo16LEE5CZKyWD4feInyNc7k3mS8mBLdCASvfgyRyBGTwZdAuqk1KhYpYRQfsSzyqHvLvzw96huhGhgjU_FK9O5UqH4_d73qe3x-6ceLYx3CkP9a9E8yeny0wZvHo1wmX"&#62;
&#60;img width="256" height="256" src="https://lh6.googleusercontent.com/z5GEVFaYjTOiSayVuepQJjg6A-XWfayT5aCKQTW2BpUTv6cV2i3A3_d2DCUgJsVxkmAwxVJFAk77mb3d-P4xmr0TpwdsfQQWCrDjzJZyXde77pBLOCF8ACCQr21UWLiZ2PSzzqWPrsdddPsbhP9Ylb8cA3k4KH3huX7YjluIEVe-RXDpNS7S1OR6"&#62;
&#60;img width="256" height="256" src="https://lh3.googleusercontent.com/jSPY9xPH7LyFLRB5zAVxF94rhieuo4eQENS5MoAiYHWLsrgNWBQUP5MNsSQI6cB2AYa5BGwlJNpixhl9WGNJIUTP3JT3D9SjMLk7HEkkLfrUzxFLX6_GVof8Ez40QsbthmLuF5pa45MfA2RLWEtKFWlmlr1tUCDSCLgreg5DG4fWeeguRaly4fkm"&#62;
&#60;img width="256" height="256" src="https://lh6.googleusercontent.com/OHi4rY6K915yMxg6sisk4vv4yvoUC6LWLKY06TrJY0UyvMVRGzk-ur6Rqt_0i780rOgMfHpOXW1OUFTfwbGPKRrEWAC4wLJheJ8VbyNchb86KEMRzH4zXRfbcxWKCqc-rfIEtQuYep-016DPTanuxyPT68KtWLwqnxuyvzAp3gHRVn6WaxObmkB_"&#62;
&#60;img width="256" height="256" src="https://lh3.googleusercontent.com/oinmgkOScpbFEQRepppaQhTbvJdd7f7HEw48DNoF76fTIW9mtdmBxD27Hyz_o0k68WBb0fKfaM_fZEbAEWngByiZCKosKkKN0Hnyn9QdomGvXjq9WyDPUgHiUc1MtY6jGhggzI3j_5ZbkN_oPhifvO72RQUvwqVmhOWc-zcmERBu-pm5zLgbZ9xN"&#62;
&#60;img width="256" height="256" src="https://lh4.googleusercontent.com/l0fZH9TL6Y5BnbnjY_i8EHkvXE4vYQWUIy5EUJsJA28J_E2MV_HBad-C6UrEKqNPcFbaAdI6x6DXKGcTK46Ow-tXNjZCuL4cOkRdffoQpTe9yNzBt9vSb0VBzDrs3FWwvJE2nYjKd3B11pfkBWh1IzQFpg4qjZm5Up8N86tVb8f27OlmQO3uNb6o"&#62;
&#60;img width="256" height="256" src="https://lh6.googleusercontent.com/99qtCMMpqXz1w7wsEB97VeABiP_40SF4VuG8Awxhnf02GZ942PxbYqv81jCIQCmFLqM8fzbIdhpuYswu17kopkR4cawzderl9WOtIWqGhyrPkGYaAC4bF_181TJNmp2of1YSf0zxDnvkkjb0Axcrw57Re54QqlSK3UxqJTBiiCH82fk90UXHGKnQ"&#62;
&#60;img width="256" height="256" src="https://lh5.googleusercontent.com/rnoJ5r_RzX15X7gfNBD0u1Jlirtw3ZFz_D8YzuH0ZtsMynTTno8J7TRFqb6HQGJwCdjJ06XfHFy_zDti3z_O68NxPENhldlCJ-CtFM1v4IGJ23GINXlIwdq7UDIiUQ3kBU7OSNLI0TF82G2iHpki8LWqHfLLaDL8GC1ISNYKiNsDwAc1ZVFswBtp"&#62;
&#60;img width="256" height="256" src="https://lh5.googleusercontent.com/FW2FDE1phWq2fSXqRkjeM6wI632m8-D6lL_grDaNNEc1hP3ewCc2Kvz6XhHo4dJNswLr6Fga346AD2rPFWtfGQqdZkGK67JKXv9ubeK2fA5PSwn_QxBoWs6Trm5MQ9gWZDHIwus-w37XofflBXThV8jh609bMRMUcueaGYTNq3MTf4qsZ52H74jE"&#62;
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&#60;img width="256" height="256" src="https://lh6.googleusercontent.com/eN0OMASelb0_9QMZFmVbveCzPVwdwAw34rhCSDoO9W2zX-nsBy19XysttFn4FqWhhs15Cg8hn8QXujimd2JEka_zyiUitYka6WDO2aHW5t9XPk3xVHo1mTZWUw8hAu_Hm8WWEH8XJVQGZoJ2glqAkM6ODFMuY2J3ROCVnmtxzaVisZzyKPp1NR_u"&#62;
&#60;img width="256" height="256" src="https://lh5.googleusercontent.com/kXyP1yoaSScXkwthxjwSNnx4YBG6AoatimmU9vMk97GGTGKvo4B20orzge3JB72T0fuZsvA00Z-3JF20fqp1Tm_IAHlDS5xfqlPpN512yv1vjTaMMdKJdCqb6oj1B-9xucwgCX14PRfKdapThxvUJYckibZyfBh8D4LiiAlA3tgALdbVuJmyf-8L"&#62;
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&#60;img width="256" height="256" src="https://lh5.googleusercontent.com/6OD7F1vwXkHVMp3eb48HbFffIXRQznbdfmYp-h0kWV67B2faWufZxPL4YeZsk8RBD8dDCWe-IhqM_yCEtwxhX6iw150WERFM4Ade9Qaqj1x9uM1dQdjUcozPrX8m3AkAEbh0yIQsryhJyYoiQ2vQi-ULetzL8AFFSTBpL_aAQO0tufGBBZ8EQfnF"&#62;


Noticeable OutcomesThe Fine Styles — Color Scheme is preserved in outputs 1, 2, 3There's adaptive normalization in 1 &#38;amp; 2Comparison between the sunset output in Lebanon (mostly) and NY. Less dense areas were definitely lighter in sunset colors. While pink and orange were mostly in new york sunsets since the air is more polluted.StyleGAN has generated realistic imagesSlight loss in style and content in training 3

Further DevelopmentI WANT TO INTERPOLATE USING DIFFERENT INPUTS AND MANIPULATE OUTPUTS USING EXISTING LEARNING TOOLSEXPERIMENT INTERACTIVITY THROUGH PROCESSING - P5.JSI AM DESIGNING SUNSETS, EACH DESIGN IS UNIQUE AND YOU CAN OWN IT
Applications to look into
Image Classification
Upload a picture, and the model tries to classify it depending on what it “sees” on the picture. This model uses transfer learning and is based on MobilenetV2.
Style transfer
Blending image style adding these sunset images as backdrops. Using image style to create a sunset.
Learning and experimenting with deep-learning challenges and approaches for sky images
First images sample
&#60;img src="https://lh5.googleusercontent.com/xIzP2WJZutlMWXE_jHFkFp40r13kAX5Qdty7F77ncnfkvnF9itvSM5vVB9tsWijP2GUZcoVHd5VnaucOsukM5qiJyGWJeZucaQxx75gW0aBufQTKndQBuZR1y-53-O-6DKHuGWk5JKsErojen3cZbZbYS44tR73O41AxrBnQxzTV7iOZuJo9kR2H" width="624" height="387" style="width: 624px; height: 387px;"&#62;
Process
I have a primary 870 images dataset. I began training with a portion of this set and hope to add all of the images to it.

I used the styleGAN training code and ran into a couple of errors in the first 3 trials after I finally was able to get an output. 

The code is still running for a better outcome and I’ll upload more outputs in the upcoming week.

&#60;img src="https://lh3.googleusercontent.com/cJkeUl6Ib2sSl1Xxgi0PZgGYYD-wFyiHlaoJd3sf3-b9HJHSTmIkGAAf8ZtufH_S5xHH8qTsZSvOQEHhCWeU0xYnkJ1yqolvT2wimBC4lqx0nM_sQ-fNwLz6yRIaoCLyohQuhwXxXcbovG7PnuUs_pNdxgeBuMYc3UWhqAI0bIt9udRWK4-gkObV" width="690" height="432" style="width: 690px; height: 432px;"&#62;Early stage outcome&#38;nbsp;
&#60;img src="https://lh6.googleusercontent.com/WXCWBssg_fR05gYBpC-0cL3jE5rohuhcdyqVceEriEImdu0EBciTV0lCZj4QD0FWMDt7xf8cUmLq0WtekEJ13utWAJu6aYqWGyfZAj9yQDIlBR5bEAMu4lgkg-zaHyuBqWYxK-pllvbvG7Z94w3qXDd1Eo5DM6CC64uBn882F2FmFaTLBkHn-66y" width="624" height="333" style="width: 624px; height: 333px;"&#62;

We can notice the clarity of the images becoming better with time &#38;amp; getting closer from looking real.

&#60;img src="https://lh6.googleusercontent.com/BZP12SQcQ73MFGY3QQf_igH4QKL3BIYuU14iKMjmDJRyWgmXhVRhln81yMA6yxmxiTEBpFthiP23wd6ajq_AVEQHk3_QO3RQRxbQf0JY5CgS4ly-y2PX4J3ou4zMx3YCfRKre4Vf1spzldCnKGNwZJOGT5NxRNzhvLkFqEPi2JfacHauck7Smw0x" width="624" height="444" style="width: 624px; height: 444px;"&#62;

The below image looks interesting. Since most of the time the sky is positioned upwards and it seems like there’s a typical way we see sunsets, yet here it’s kind of rotated. I’m searching for more interesting findings; in general the colors and shapes seem close to the reality of true sunsets. 

&#60;img src="https://lh3.googleusercontent.com/VK4VXfMFSX6pClGFux1GiJvRA2kXDx5o6Ej57k_AFJj7gnf0-tfGQVUrM5stHouLoU8S06mkOlf5qXU4EDGUfC9pmP6jg6O54dD4rufbZYieEMbM71zL7nFbdCd69hBd2gcSCpHXEivHSDf66Hqr9ZyAHqOue2_s4AjzqGiaZB7xtWdG-UlUsvu0" width="287" height="284" style="width: 287px; height: 284px;"&#62; BibliographyA. Implementation and Concept ResearchI- What dust and pollution don't do
It is often written that natural and manmade dust and pollution cause colorful sunrises and sunsets. Indeed, the brilliant twilight "afterglows" that follow major volcanic eruptions owe their existence to the ejection of small particles high into the atmosphere (more will be said on this a bit later). If, however, it were strictly true that low-level dust and haze were responsible for brilliant sunsets, cities such as New York, Los Angeles, London, and Mexico City would be celebrated for their twilight hues. The truth is is that tropospheric aerosols --- when present in abundance in the lower atmosphere as they often are over urban and continental areas --- do not enhance sky colors --- they subdue them. Clean air is, in fact, the main ingredient common to brightly colored sunrises and sunsets.

Afterglow colors are affected by smoke, air quality, and other factors. The stunning hues when affected by smoke are mostly pinkish 

Source: https://www.spc.noaa.gov/publications/corfidi/sunset/#:~:text=Typical%20pollution%20droplets%20such%20as,are%20on%20the%20order%20of%20.&#38;amp;text=Similarly%2C%20the%20vibrant%20oranges%20and,more%20than%20soften%20sky%20colors.
II- Machine Learning which sunsets are considered beautiful from social media data &#60;img src="https://lh3.googleusercontent.com/1G7NiKKxuhe2jjGTD2hJ73f0asWQGQcvvtzO5Teq3asplOBVUSjupZIc_3kpFj4yEdrAfXsJXoRnvIxJZl8CAEZiSaIdQSbLVNZ8mhdlASABeqhcgqvy3iFWmBLhS9vylfl972yvxGDAhVXYkEOWVZswppH31yQt0Vklt_5OeJQNIEr3RUX5yeHk" width="461" height="305" style="width: 461px; height: 305px;"&#62;

Source: 
https://twitter.com/Senor_SunsetLuminar: Sky replacement tool - AI Powered Tool - picture editorAdobe photoshop https://www.theverge.com/2020/9/21/21449124/photoshop-sky-replacement-tool-ai-machine-learningSunsetWx - Sunset and sunrise forecasts. Sunset &#38;amp; Sunrise Predictions: Model using an in-depth algorithm comprised of meteorological factors. https://sunsetwx.com/https://twitter.com/sunset_wx?ref_src=twsrc%5Etfw%7Ctwcamp%5Eembeddedtimeline%7Ctwterm%5Eprofile%3Asunset_wx&#38;amp;ref_url=https%3A%2F%2Fsunsetwx.com%2FSunsets, Fraternities, and Deep Learning&#38;nbsp;http://obsessionwithregression.blogspot.com/2016/05/sunsets-fraternities-and-deep-learning.html

Image-to-Image Translation with Conditional Adversarial Networks https://arxiv.org/abs/1611.07004&#60;img src="https://lh6.googleusercontent.com/RO08tEdLVDniKmvcUiNGjRen7xyx79Q2itV2mjOgk9sNT4IptBGWScy9boFukSrYsYzJOO530NTkI66JcQ-lCJLsgk5BFfMkZ0hmpCJyoabXoI7NI5S84wU4xKcERWKm6KGW7Loebattr12qA4Na_2-VU3O_rWCVCKrXa_LMEIIjMawy8u-QzCAz" width="624" height="188" style="width: 624px; height: 188px;"&#62;
B. Air Quality Index - Pollution Levels NYC
Air quality index in NYC 5 and ozone at current concentrations in New York City. Health Department estimates show that each year, PM2. 5 pollution in New York City causes more than 3,000 deaths, 2,000 hospital admissions for lung and heart conditions, and approximately 6,000 emergency department visits for asthma in children and adults.&#60;img src="https://lh3.googleusercontent.com/OIq6epAgqCYFb6UZnMG0y04oBAU6EUq3k3VL_98Yb-Y9YCRJdRsI-jICXi0t2w9wncFf0ELjTKGWGd_syc0eDhDTZBZE1ziNdtFM7yagfcSAtkoCLE3OvhIuL69UgbCzP8JKRRzRKsyZtntiIgeeFh2Bbs2fNJCdlwp2VshNElDIOluSwrJlVmBt" width="624" height="461" style="width: 624px; height: 461px;"&#62;
Reference: https://aqicn.org/map/brooklyn/
			Get in touch for more info &#38;amp; resources on this project</description>
		
	</item>
		
		
	<item>
		<title>Impact Entrepreneurship Fellow </title>
				
		<link>https://jessicaj.cargo.site/Impact-Entrepreneurship-Fellow</link>

		<pubDate>Mon, 17 Oct 2022 20:41:30 +0000</pubDate>

		<dc:creator>Jessica Jabr Website</dc:creator>

		<guid isPermaLink="true">https://jessicaj.cargo.site/Impact-Entrepreneurship-Fellow</guid>

		<description>
Impact Entrepreneurship Fellowship

Design Thinking
Product Design
Entrepreneurship
Exploring the challenge of "How might we help enhance resource flows to support (immigrant) artistic communities in NYC?" through design thinking, equity-centered design, research, data analysis,&#38;nbsp;personas, ashoka innovation landscape, systems map, theory of change, and value proposition map.

Sep - Dec 2020Supporting Immigrant Artists Impact Project &#38;nbsp;
&#60;img width="1920" height="1080" width_o="1920" height_o="1080" data-src="https://freight.cargo.site/t/original/i/6ba2e16e028ae17cc1be6fe02b6efe7445176986771e4449c35f4e82c2eae07c/Screen-Shot-2020-09-01-at-4.17.05-PM.png" data-mid="185311031" border="0"  src="https://freight.cargo.site/w/1000/i/6ba2e16e028ae17cc1be6fe02b6efe7445176986771e4449c35f4e82c2eae07c/Screen-Shot-2020-09-01-at-4.17.05-PM.png" /&#62;





&#60;img width="4725" height="2363" width_o="4725" height_o="2363" data-src="https://freight.cargo.site/t/original/i/6b6ab69d8acf61170f83b76da80df435caff92824451b59c638532c5d4c896db/Supporting-Immigrant-Artists_FINAL_Page_03.jpg" data-mid="156419744" border="0"  src="https://freight.cargo.site/w/1000/i/6b6ab69d8acf61170f83b76da80df435caff92824451b59c638532c5d4c896db/Supporting-Immigrant-Artists_FINAL_Page_03.jpg" /&#62;


&#60;img width="4724" height="2362" width_o="4724" height_o="2362" data-src="https://freight.cargo.site/t/original/i/154410062f14251fa4910b744b7f0f32d54d542fc59d71566f70dc0bc638865f/Problem-analysis-4.png" data-mid="156418667" border="0"  src="https://freight.cargo.site/w/1000/i/154410062f14251fa4910b744b7f0f32d54d542fc59d71566f70dc0bc638865f/Problem-analysis-4.png" /&#62;&#60;img width="4725" height="2363" width_o="4725" height_o="2363" data-src="https://freight.cargo.site/t/original/i/a292749df92a20aa79753d774f2b94aa06714c548c271d611e30003f4dd515c4/Supporting-Immigrant-Artists_FINAL_Page_05.jpg" data-mid="156419747" border="0"  src="https://freight.cargo.site/w/1000/i/a292749df92a20aa79753d774f2b94aa06714c548c271d611e30003f4dd515c4/Supporting-Immigrant-Artists_FINAL_Page_05.jpg" /&#62;&#60;img width="4725" height="2363" width_o="4725" height_o="2363" data-src="https://freight.cargo.site/t/original/i/fff0b66e4d0481f6927c69d219bbfa9e58a039f8c46a6c5a8ea834f30d16ab90/Supporting-Immigrant-Artists_FINAL_Page_07.jpg" data-mid="156419750" border="0"  src="https://freight.cargo.site/w/1000/i/fff0b66e4d0481f6927c69d219bbfa9e58a039f8c46a6c5a8ea834f30d16ab90/Supporting-Immigrant-Artists_FINAL_Page_07.jpg" /&#62;&#60;img width="4725" height="2363" width_o="4725" height_o="2363" data-src="https://freight.cargo.site/t/original/i/dcf5f012bce9457ca546d82433944f9bd7c342e44678d6223b8670df4b275a42/Supporting-Immigrant-Artists_FINAL_Page_06.jpg" data-mid="156419748" border="0"  src="https://freight.cargo.site/w/1000/i/dcf5f012bce9457ca546d82433944f9bd7c342e44678d6223b8670df4b275a42/Supporting-Immigrant-Artists_FINAL_Page_06.jpg" /&#62;&#60;img width="4725" height="2363" width_o="4725" height_o="2363" data-src="https://freight.cargo.site/t/original/i/db504f0bb47733a0124a5d2929459f4efe15d7dd9a96eef6138afea65557ed58/Supporting-Immigrant-Artists_FINAL_Page_08.jpg" data-mid="156419751" border="0"  src="https://freight.cargo.site/w/1000/i/db504f0bb47733a0124a5d2929459f4efe15d7dd9a96eef6138afea65557ed58/Supporting-Immigrant-Artists_FINAL_Page_08.jpg" /&#62;&#60;img width="4725" height="2363" width_o="4725" height_o="2363" data-src="https://freight.cargo.site/t/original/i/ba3aa5c224764bc89c45afc60a35a5f68e9d221df6f3ef1c5c494222732ce726/Supporting-Immigrant-Artists_FINAL_Page_10.jpg" data-mid="156419752" border="0"  src="https://freight.cargo.site/w/1000/i/ba3aa5c224764bc89c45afc60a35a5f68e9d221df6f3ef1c5c494222732ce726/Supporting-Immigrant-Artists_FINAL_Page_10.jpg" /&#62;&#60;img width="4725" height="2363" width_o="4725" height_o="2363" data-src="https://freight.cargo.site/t/original/i/a59c6d968e975e1cb4d12b898530af4a923953b66d8ff84dfebf1586892ccfd5/Supporting-Immigrant-Artists_FINAL_Page_11.jpg" data-mid="156419753" border="0"  src="https://freight.cargo.site/w/1000/i/a59c6d968e975e1cb4d12b898530af4a923953b66d8ff84dfebf1586892ccfd5/Supporting-Immigrant-Artists_FINAL_Page_11.jpg" /&#62;
Case Study
The Challenge

	The research started off by a different challenge statement which was questioned and refined until I came to the current “how might we?”

Did many iterations on the questions I assumed there's a need to solve and resorted to the current after identifying potential areas with challenges

I narrowed the scope down to immigrant artistsand did further refinement &#38;amp; research, which lead to identifying our key challenge areas

	Exploring the challenge of "How might we help enhance resource flows to support (immigrant) artistic communities in NYC?" 
This challenge stems from a variety of systemic issues that have prevented immigrant artists from gaining the physical resources, financial resources, and skill-based resources they need to succeed and thrive.

	Spaces support
	as in places to perform, places to work, places to live, places to exhibit
	
	

	Financial
	Monetary day-to-day finances, or project financing
	Economic: as artists are often not seen as economic drivers in society, hence they are often left out of the decision making process to "fund".
	Closing the gap of finding access to innovative financing mechanisms for funders

	Skills based support
	Understanding the industries within the arts &#38;amp; culture and how they need help, which is more than competitions with a one time $ prize
	Integrating them into the existing business landscape &#38;amp; providing them with the networks of support and opportunities for enhaning their skills of promoting themselves &#38;amp; their work.
	

	
	
	
	
Problem Analysis
Asked myself the question, why is this an unmet need?

	Arts and culture is often left out of the initial funding process for public service and data is usually geared toward providing evidence through quantitative measurement 
	such as lives saved, people fed, number of houses created. There is little data centered on the need for arts and culture &#38;amp; the social resturn on investment in that area.
	
	

Mapping EmpowermentBarriers &#38;amp; Design Principles

	My research design is based on and geared towards having community based decision making
	and having an equitable process of data collection
	
	

How can we empower artists and what are the inter-relational elements that we can have some control on?
Theory of Change

Barriers
The barriers to this population are deep, and are embedded in systemic structures that fight against these populations to have sustainable futures in America. As it is, artists themselves in America are often not considered as "essential" when it comes to government funding, city planning, or business development. They struggle to meet basic needs and get access to resources. Many artists are considered "gig workers" often holding multiple jobs at a time that do not have benefits. They must pay for their own healthcare and find their own ways to save for retirement. Funding sources are complicated and often require certain levels of citizenship that immigrant artists may not have. These populations might struggle with forming partnerships as there is a barrier between them and institutions that can be attributed to language barriers, conversation barriers, and just general access issues to these business populations. Furthermore, when the government or businesses are looking into who to accept into America, there is little data that proves the case of economic value through artists. 
created these design principles in repsonse to the barriers that are facing immigrant artisits in general

	creating support netwoks -- setting up a co-production/collaboration with existing business can help artists overcome the financial barrier of regular income 
	language barriers for immigrants artists and the way to overcome them would be by having access to sources in different languages
	systemic government issues of funneling support and distrubution of funds from other entities

Leading to 3 main topics to tackle
 
	How can we create more community centric networks of support for artists   
	How can we create a blended capital/finance model to help emerging artists to have more sustainable income
	How can we provide security and a better standard of living and resources such as housing, insurance, visa (right to live and practice in US)?

Research Methods 

	I used a combination of primary sources through interviews of arts organizations and arts leaders in NYC as well as secondary research through data collected in NYC Open Access Data, New York City Department of Cultural Affairs, and articles/blogs on data collection in the arts 
	existing data, input from experts in the field
	online research for existing organizations and efforts providing services, solutions, or support

Stakeholders in a nutshell
	Arts and culture actors in New York City: musicians, museums, visual artists, literary artists, craftsmen etc. that need support with funding. Including small organizations and community led projects.
	Policy makers or funders
	Arts &#38;amp; arts support organizations fully or partially rely on funds from private and public institutions to carry out their activities.
 

Interviewees
&#60;img width="1390" height="874" width_o="1390" height_o="874" data-src="https://freight.cargo.site/t/original/i/879f7cdeed271cc9d23e2eb51ff60d4e516dfeaf3d7bf5dddee756d5ece297fe/Stakeholders-Research.png" data-mid="156424492" border="0" data-scale="51" src="https://freight.cargo.site/w/1000/i/879f7cdeed271cc9d23e2eb51ff60d4e516dfeaf3d7bf5dddee756d5ece297fe/Stakeholders-Research.png" /&#62;

Value Proposition Canvas
&#60;img width="2725" height="1336" width_o="2725" height_o="1336" data-src="https://freight.cargo.site/t/original/i/cb596a446ec1f55530ff5bcf6592021176fd327cdeed3823e709d4f6dd71e968/Copy-of-JM-Value-Proposition-Canvas.png" data-mid="156422479" border="0"  src="https://freight.cargo.site/w/1000/i/cb596a446ec1f55530ff5bcf6592021176fd327cdeed3823e709d4f6dd71e968/Copy-of-JM-Value-Proposition-Canvas.png" /&#62;

Equity-Centered Design

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