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      <image:title>Blog</image:title>
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    <loc>https://ira.mit.edu/blog/beaverton</loc>
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    <lastmod>2022-12-06</lastmod>
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      <image:title>Blog - Digital Modeling and Decision Making in Real Estate Development Workshop - Register Now!</image:title>
      <image:caption>Date: Thursday, 12/8 or Tuesday, 12/13* Time: 4:00pm ~ 5:45pm* Location: Online (Zoom)</image:caption>
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    <loc>https://ira.mit.edu/blog/riise-interview</loc>
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    <lastmod>2024-02-07</lastmod>
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    <loc>https://ira.mit.edu/blog/3-questions-ira-winder</loc>
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    <lastmod>2018-10-19</lastmod>
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      <image:title>Blog - 3 Questions with Ira Winder</image:title>
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      <image:title>Blog - 3 Questions with Ira Winder</image:title>
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      <image:title>Blog - 3 Questions with Ira Winder</image:title>
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      <image:title>Blog - 3 Questions with Ira Winder</image:title>
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  <url>
    <loc>https://ira.mit.edu/blog/ira-joins-dusp</loc>
    <changefreq>monthly</changefreq>
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    <lastmod>2018-09-24</lastmod>
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      <image:title>Blog - Ira Joins Faculty of MIT Department of Urban Studies and Planning</image:title>
      <image:caption>MIT Lobby 7, Gateway to MIT Department of Urban Studies and Planning</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://ira.mit.edu/blog/gui3d</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-03-07</lastmod>
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      <image:title>Blog - GUI3D: Simulation Template for Processing 3 - Pedestrian Simulation</image:title>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/59e00d33197aea1a0ab61282/1520279605343-1FFKR6Y53SOW6OEZUFMW/Screen+Shot+2018-03-05+at+2.50.24+PM.png</image:loc>
      <image:title>Blog - GUI3D: Simulation Template for Processing 3 - Vehicle &amp; Parking Simulation</image:title>
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    </image:image>
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      <image:title>Blog - GUI3D: Simulation Template for Processing 3 - Flight &amp; Satellite Simulation</image:title>
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  </url>
  <url>
    <loc>https://ira.mit.edu/blog/bits-and-bricks</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-10-01</lastmod>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/59e00d33197aea1a0ab61282/1512262508229-220107JNG53JETYZEFMK/IraWinder+FTCBestDemo.jpg</image:loc>
      <image:title>Blog - "Bits and Bricks" Wins Best Demo Award at IEEE Future Technologies Conference</image:title>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/59e00d33197aea1a0ab61282/1512262506421-I1NC35CB0KNL8YQLCK34/NinaLutz+FTCDemo.jpg</image:loc>
      <image:title>Blog - "Bits and Bricks" Wins Best Demo Award at IEEE Future Technologies Conference</image:title>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/59e00d33197aea1a0ab61282/1512262508231-W5HNHJTDF7RRZDHX8GU0/TactileMatrix.jpg</image:loc>
      <image:title>Blog - "Bits and Bricks" Wins Best Demo Award at IEEE Future Technologies Conference</image:title>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/59e00d33197aea1a0ab61282/1512263302755-HL7NTFKV42PT5L9PP3QV/IMG_8892+2.JPG</image:loc>
      <image:title>Blog - "Bits and Bricks" Wins Best Demo Award at IEEE Future Technologies Conference</image:title>
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    <image:image>
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      <image:title>Blog - "Bits and Bricks" Wins Best Demo Award at IEEE Future Technologies Conference</image:title>
      <image:caption>Case Study Implementations of the Tactile Matrix presented at 2017 IEEE Future Technologies Conference. Diagram by Nina Lutz and Joyce Chen.</image:caption>
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  </url>
  <url>
    <loc>https://ira.mit.edu/blog/bsa2017</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2017-10-24</lastmod>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/59e00d33197aea1a0ab61282/1508856864068-DXEZ9UG0OF6T1AIT3FQO/ira_research</image:loc>
      <image:title>Blog - Conversation with BSA Committee for Research and Innovation Design</image:title>
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      <image:title>Blog - Conversation with BSA Committee for Research and Innovation Design</image:title>
      <image:caption>Screen Capture from BSA Committee for Research and Innovation Design</image:caption>
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  <url>
    <loc>https://ira.mit.edu/blog/finding-places</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2017-10-16</lastmod>
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      <image:title>Blog - How Hafencity University Built an Urban Simulation Platform for Refugees</image:title>
      <image:caption>Ira (left) and HCU students present prototype at Hamburg solutions conference. september, 2015. Photo by Benno Tobler Ziemer.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/59e00d33197aea1a0ab61282/1508093065825-5888B4MF4ZNNWQM0PYS6/hafencity.png</image:loc>
      <image:title>Blog - How Hafencity University Built an Urban Simulation Platform for Refugees</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/59e00d33197aea1a0ab61282/1508166503313-OP37GAVFIYMY8RKWRCYK/urbact_award.png</image:loc>
      <image:title>Blog - How Hafencity University Built an Urban Simulation Platform for Refugees</image:title>
      <image:caption>HCU Finding Places receives URBACT Good Practice City Label.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://ira.mit.edu/blog/digital-terrarium</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2017-10-16</lastmod>
  </url>
  <url>
    <loc>https://ira.mit.edu/blog/team-science</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2017-10-16</lastmod>
  </url>
  <url>
    <loc>https://ira.mit.edu/blog/agent-based-visualization</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2017-10-16</lastmod>
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      <image:title>Blog - Computational Ants: Agent Based Visualization Technique with CDR OD Matrix</image:title>
      <image:caption>Figure 7. A custom network is created by subtracting polygons from the field. Image: Ira Winder</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/59e00d33197aea1a0ab61282/1508100705757-EEPBDSB5ZM9NP3PT9Z2O/AB_Juxtopositions-04.png</image:loc>
      <image:title>Blog - Computational Ants: Agent Based Visualization Technique with CDR OD Matrix</image:title>
      <image:caption>Figure 10. A bus stop, represented by two red circles, is not within walking distance of nearby amenities (left). Amenities placed within walking distance of the bus stop increase simulated pedestrian activity in the areas (right). Image: Ira Winder</image:caption>
    </image:image>
    <image:image>
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      <image:title>Blog - Computational Ants: Agent Based Visualization Technique with CDR OD Matrix</image:title>
      <image:caption>Figure 2. Randomly generated origin-destination pairs. Image: Ira Winder</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/59e00d33197aea1a0ab61282/1508099362717-JUN5UJQTMREPWC6I8C9T/Screen+Shot+2016-08-11+at+7.10.19+PM.png</image:loc>
      <image:title>Blog - Computational Ants: Agent Based Visualization Technique with CDR OD Matrix</image:title>
      <image:caption>Figure 6a. Voxel-based data abstraction. Image: Ira Winder</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/59e00d33197aea1a0ab61282/1508099531316-5J90Y69BS962WZ529LG0/SmartMesh-01.png</image:loc>
      <image:title>Blog - Computational Ants: Agent Based Visualization Technique with CDR OD Matrix</image:title>
      <image:caption>Figure 8b.  GIS Vector data (left) translated into poly-voxel data (right).  The translation differentiates between different path types such as roads, sidewalks, and pedestrian bridges. The purple network is an elevated walkway.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/59e00d33197aea1a0ab61282/1508099488176-4M4AMEYB4GJFX653US1A/Agents_Singapore.gif</image:loc>
      <image:title>Blog - Computational Ants: Agent Based Visualization Technique with CDR OD Matrix</image:title>
      <image:caption>Figure 8a. Agent-based visualization of pedestrian activity between amenities. Image: Ira Winder</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/59e00d33197aea1a0ab61282/1508099270887-BVPLTKDBYQEBOBJST1L5/Agents_Path_v3.gif</image:loc>
      <image:title>Blog - Computational Ants: Agent Based Visualization Technique with CDR OD Matrix</image:title>
      <image:caption>Figure 5. Pathfinding algorithm applied to approximate routing. Image: Ira Winder</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/59e00d33197aea1a0ab61282/1508098746017-U2LT7IJCNBT7BM27VPLA/Agents_Edges.jpg</image:loc>
      <image:title>Blog - Computational Ants: Agent Based Visualization Technique with CDR OD Matrix</image:title>
      <image:caption>Figure 3. Randomly generated OD matrix. Image: Ira Winder</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/59e00d33197aea1a0ab61282/1508099250705-UNSYVKSSXY4422KD5QFQ/Agents_Direct_v3.gif</image:loc>
      <image:title>Blog - Computational Ants: Agent Based Visualization Technique with CDR OD Matrix</image:title>
      <image:caption>Figure 4. Agent-based modeling technique that communicates relative flow and directionality of a random OD matrix. Image: Ira Winder</image:caption>
    </image:image>
    <image:image>
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      <image:title>Blog - Computational Ants: Agent Based Visualization Technique with CDR OD Matrix</image:title>
      <image:caption>Figure 9c. Agent-based visualization of Spanish-speaking (orange) and French-speaking (blue) tourists of Andorra la Vella using CDR data, Amenities, and road network data. Image: Nina Lutz</image:caption>
    </image:image>
    <image:image>
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      <image:title>Blog - Computational Ants: Agent Based Visualization Technique with CDR OD Matrix</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/59e00d33197aea1a0ab61282/1508098003833-KV6CW093EJSJP9QWPA20/Agents_Direct_v3_sm.gif</image:loc>
      <image:title>Blog - Computational Ants: Agent Based Visualization Technique with CDR OD Matrix</image:title>
    </image:image>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/59e00d33197aea1a0ab61282/1508098012935-A309B35Q5TL2PUDGMU98/Agents_Path_v3_sm.gif</image:loc>
      <image:title>Blog - Computational Ants: Agent Based Visualization Technique with CDR OD Matrix</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/59e00d33197aea1a0ab61282/1508097926006-N8HXK1FC3S3R2WFY349S/Agents_Network_SM.jpg</image:loc>
      <image:title>Blog - Computational Ants: Agent Based Visualization Technique with CDR OD Matrix</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/59e00d33197aea1a0ab61282/1508099391602-XDXP1DLYWX52EYS5W4YC/Screen+Shot+2016-08-30+at+4.38.22+PM.png</image:loc>
      <image:title>Blog - Computational Ants: Agent Based Visualization Technique with CDR OD Matrix</image:title>
      <image:caption>Figure 6b. A poly-voxel network with shortest-paths between origins and destinations highlighted. Image: Ira Winder</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/59e00d33197aea1a0ab61282/1508098635985-0QWIMXW222GQU400DR34/odmatrix.png</image:loc>
      <image:title>Blog - Computational Ants: Agent Based Visualization Technique with CDR OD Matrix</image:title>
      <image:caption>Figure 1. A conceptual diagram of an origin-destination matrix. Source: Dr. Jean-Paul Rodrigue, Dept. of Global Studies &amp; Geography , Hofstra University, New York, USA.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/59e00d33197aea1a0ab61282/1508100522099-5TBT6UWU2MOHR5K9QSIG/Figure8.png</image:loc>
      <image:title>Blog - Computational Ants: Agent Based Visualization Technique with CDR OD Matrix</image:title>
      <image:caption>Figure 9b. Voronoi method used to allocate cell phone tower data to surrounding amenities. Image: Nina Lutz</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://ira.mit.edu/blog/lego-logistics</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2017-10-16</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/59e00d33197aea1a0ab61282/1508101694954-2ZLOYQUX9NSD27VGUU54/Screen+Shot+2016-08-11+at+7.10.19+PM.png</image:loc>
      <image:title>Blog - Lego Logistics: Tangible Interactive Matrix Meets Last Mile Logistics Simulation</image:title>
      <image:caption>Figure 2. A typical GIS polygon construct (left) is translated into a TIM-compatible voxel and Lego construct (right).</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/59e00d33197aea1a0ab61282/1508101775351-2LR8DRW0GDNK0HN0TVMN/Screen+Shot+2016-08-12+at+12.11.59+AM.png</image:loc>
      <image:title>Blog - Lego Logistics: Tangible Interactive Matrix Meets Last Mile Logistics Simulation</image:title>
      <image:caption>Figure 5. Service area solutions for 3 different placements of a single distribution center.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/59e00d33197aea1a0ab61282/1508101757233-54PR8MOE3421LYPLEAY6/Screen+Shot+2016-08-11+at+11.04.10+PM.png</image:loc>
      <image:title>Blog - Lego Logistics: Tangible Interactive Matrix Meets Last Mile Logistics Simulation</image:title>
      <image:caption>Figure 3. Voxel-ized data can represent different areas at different scales.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/59e00d33197aea1a0ab61282/1508121533397-EEDK1IZ28OYW15OQ72NB/Screen+Shot+2016-08-11+at+11.12.04+PM.png</image:loc>
      <image:title>Blog - Lego Logistics: Tangible Interactive Matrix Meets Last Mile Logistics Simulation</image:title>
      <image:caption>Figure 6. Complex solution with five distribution centers of various capacities.  Green denotes cheaper areas to serve, while red areas are more expensive.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/59e00d33197aea1a0ab61282/1508121815281-63SOPYEWWPZVEBI7BGNY/AB_Juxtopositions-01.png</image:loc>
      <image:title>Blog - Lego Logistics: Tangible Interactive Matrix Meets Last Mile Logistics Simulation</image:title>
      <image:caption>Figure 7. Delivery service areas that are more expensive to serve are colored red while areas cheaper to serve are colored green.  Areas further away from a collection of distribution centers are more expensive to serve (left).  A strategically located distribution center significantly reduces the cost of serving deliveries in the area (right).</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/59e00d33197aea1a0ab61282/1508101711864-9MSJ5F2MEHR5ZJGSF10C/DSCF5049.jpg</image:loc>
      <image:title>Blog - Lego Logistics: Tangible Interactive Matrix Meets Last Mile Logistics Simulation</image:title>
      <image:caption>Figure 1. Two distribution centers are placed upon the tangible interactive matrix (TIM). Photo by James Li.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://ira.mit.edu/blog/presidential-report</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2017-10-15</lastmod>
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      <image:title>Blog - CityScope Featured in Presidential Report on Technology and the Future of Cities</image:title>
      <image:caption>Figure 1: CityScope with satellite data, Twitter user activity, wind flow simulation, and mobility networks (clockwise starting from upper left).</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/59e00d33197aea1a0ab61282/1508083844006-QWA77W0UEWURYBUWAF78/1200px-Seal_of_the_President_of_the_United_States.svg+copy.png</image:loc>
      <image:title>Blog - CityScope Featured in Presidential Report on Technology and the Future of Cities</image:title>
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  </url>
  <url>
    <loc>https://ira.mit.edu/blog/brt</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2017-10-15</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/59e00d33197aea1a0ab61282/1508089496816-A2V61MW107706XDLY8LD/brt3.png</image:loc>
      <image:title>Blog - A New Interactive Platform for the Design of Bus Rapid Transit (BRT) Systems</image:title>
      <image:caption>Multi-scale interaction tools for BRT design. Diagram and by Ariel Noyman</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/59e00d33197aea1a0ab61282/1508089460756-A74D2U2588HQXIL769PQ/brt1.jpg</image:loc>
      <image:title>Blog - A New Interactive Platform for the Design of Bus Rapid Transit (BRT) Systems</image:title>
      <image:caption>Neighborhood-scale CityScope of Bus Rapid Transit (BRT) Alternatives</image:caption>
    </image:image>
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      <image:title>Blog - A New Interactive Platform for the Design of Bus Rapid Transit (BRT) Systems</image:title>
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