{"id":2,"date":"2015-01-28T17:40:32","date_gmt":"2015-01-28T17:40:32","guid":{"rendered":"http:\/\/dukodestudio.com\/mindriderdata\/?page_id=2"},"modified":"2017-02-18T14:28:57","modified_gmt":"2017-02-18T14:28:57","slug":"sample-page","status":"publish","type":"page","link":"https:\/\/dukodestudio.com\/mindriderdata\/","title":{"rendered":""},"content":{"rendered":"<h2><span style=\"color: #ff00ae;\"><em>Check out Multimer&#8217;s maps of Manhattan&#8217;s Best Experiences:<br \/>\n<\/em><\/span><\/h2>\n<ul>\n<li>\n<h3><span style=\"color: #ff00ae;\"><em><a style=\"color: #ff00ae;\" href=\"http:\/\/bestretail.multimerdata.com\/\" target=\"_blank\">Best Places for Retail<\/a><\/em><\/span><\/h3>\n<\/li>\n<li>\n<h3><span style=\"color: #ff00ae;\"><em><a style=\"color: #ff00ae;\" href=\"http:\/\/bestneighborhoods.multimerdata.com\" target=\"_blank\">Best Neighborhoods<\/a><\/em><\/span><\/h3>\n<\/li>\n<li>\n<h3><span style=\"color: #ff00ae;\"><em><a style=\"color: #ff00ae;\" href=\"http:\/\/categorized.multimerdata.com\" target=\"_blank\">Categorized Human Signals<\/a><\/em><\/span><\/h3>\n<\/li>\n<li>\n<h3><span style=\"color: #ff00ae;\"><em><a style=\"color: #ff00ae;\" href=\"http:\/\/collected.multimerdata.com\" target=\"_blank\">Collected Human Signals<\/a> <\/em><\/span><\/h3>\n<h3><\/h3>\n<\/li>\n<\/ul>\n<hr \/>\n<p>Multimer makes location decisions easier by collecting and analyzing millions of quantified self data points throughout the city. For this first-of-its-kind system, Multimer develops proprietary wearable sensors, deploys them on multitudes of people every day, then analyzes the data against existing geographic insights. Multimer&#8217;s SaaS decision engines are made for professionals in real estate, retail strategy, and advertising. Multimer&#8217;s first biosensor system, <a href=\"http:\/\/mindriderdata.com\">MindRider<\/a>, was originally developed at the MIT Media Lab. Multimer is developed by DuKorp, a portfolio company of <a href=\"http:\/\/e14fund.com\" target=\"_blank\">E14<\/a> (an MIT affiliate) and <a href=\"http:\/\/sosv.com\" target=\"_blank\">SOSV<\/a>.<\/p>\n<p><a href=\"http:\/\/e14fund.com\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-217\" src=\"https:\/\/dukodestudio.com\/mindriderdata\/wp-content\/uploads\/2015\/01\/tumblr_static_e14logo-sm-150x150.jpg\" alt=\"Print\" width=\"93\" height=\"93\" srcset=\"https:\/\/dukodestudio.com\/mindriderdata\/wp-content\/uploads\/2015\/01\/tumblr_static_e14logo-sm-150x150.jpg 150w, https:\/\/dukodestudio.com\/mindriderdata\/wp-content\/uploads\/2015\/01\/tumblr_static_e14logo-sm.jpg 240w\" sizes=\"auto, (max-width: 93px) 100vw, 93px\" \/><\/a>\u00a0\u00a0\u00a0\u00a0 <a href=\"http:\/\/sosv.com\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-218\" src=\"https:\/\/dukodestudio.com\/mindriderdata\/wp-content\/uploads\/2015\/01\/SOSV_Logo_Strapline_240x138-copy.png\" alt=\"sosv_logo_strapline_240x138-copy\" width=\"150\" height=\"86\" \/><\/a><\/p>\n<blockquote><p><span style=\"color: #ff6600;\">&#8220;There\u2019s a lot of potential for this kind of information.&#8221;<\/span><\/p>\n<p><a href=\"http:\/\/www.wired.com\/2015\/01\/mindrider-manhattan-bike-map\/\" target=\"_blank\"><span style=\"color: #ff6600;\">\u2013Alex Davies, <em>WIRED<\/em><\/span><\/a><\/p><\/blockquote>\n<p>Multimer&#8217;s underlying technologies have been covered by outlets including <a href=\"http:\/\/www.wired.com\/2015\/01\/mindrider-manhattan-bike-map\/\" target=\"_blank\">WIRED<\/a>, <a href=\"www.dailymail.co.uk\/sciencetech\/article-2936923\/Stress-free-cycle-routes-revealed-using-BRAIN-WAVES-Mind-reading-helmet-highlights-relaxing-routes-New-York.html\" target=\"_blank\">Daily Mail UK<\/a>, <a href=\"road.cc\/content\/news\/141954-could-mindreading-bike-helmet-help-justify-new-cycle-infrastructure\" target=\"_blank\">Road.cc<\/a>, and <a href=\"http:\/\/neurogadget.com\/2015\/02\/05\/mindrider-maps-relaxing-cycle-routes-manhattan\/10936\" target=\"_blank\">Neurogadget<\/a>. See the <a href=\"http:\/\/mindriderdata.com\">Multimer&#8217;s First Wearable: MindRider<\/a> page for even more media and press.<\/p>\n<hr \/>\n<h1>What is Multimer?<\/h1>\n<p>[slideshow_deploy id=&#8217;168&#8242;]<\/p>\n<p>Multimer is a high-resolution tool for complex location decisions. What makes Multimer high-resolution is that we collect data from sensors that people wear as they move through the city, at all times of day. Our first biosensor, <a href=\"http:\/\/mindriderdata.com\" target=\"_blank\">MindRider<\/a>, specifically collects brainwave data. We <a href=\"http:\/\/categorized.multimerdata.com\" target=\"_blank\">categorize<\/a> this data to show the areas of the city that are the most<\/p>\n<ul>\n<li><span style=\"color: #3366ff;\"><strong>restorative<\/strong><\/span>, where people are the most open-minded<\/li>\n<li><strong><span style=\"color: #a104cc;\">fascinating<\/span><\/strong>, where people are the most interested in their surroundings<\/li>\n<li><span style=\"color: #ff9900;\"> <strong>stimulating<\/strong><\/span>, where people are the most excited<\/li>\n<li><span style=\"color: #ff194f;\"><strong>powerful<\/strong><\/span>, where people are paying the most attention<\/li>\n<\/ul>\n<hr \/>\n<h1>Why Multimer?<\/h1>\n<p>[slideshow_deploy id=&#8217;177&#8242;]<\/p>\n<p>One of the things that makes us human is that we care about what other humans experience. And we want to use the experience of other people to inform our decisions. But most of our decisions about place\u2014 whether we&#8217;re looking for an apartment, a place to set up shop, or a place to broadcast our message\u2014are based a limited awareness of people in that place.<\/p>\n<p>What if you could enhance your decisions with hard, quantitative data of human experience? With Multimer, now you can. With a unique Decision Engine system that combines quantified self technology with proven location analytics, Multimer is a quantitative way to measure information that was previously only qualitative. Multimer&#8217;s first biosensor, MindRider, was deployed in a 2015 study that verifies its utility in geographic context.<\/p>\n<p>With Multimer&#8217;s high-resolution data that operates at the human scale, you can eliminate the proxy measures you already use to gauge human choices and activity. Save time and money with Multimer.<\/p>\n<p>Multimer\u2019s Decision Engines can output the best places for different types of <a href=\"http:\/\/bestretail.multimerdata.com\" target=\"_blank\">retail<\/a> stores and outdoor advertising, the best and most healthy <a href=\"http:\/\/bestneighborhoods.multimerdata.com\" target=\"_blank\">neighborhoods<\/a>, and the best streets. These decision engines combine Multimer\u2019s unique quantified self data with data from public and private APIs.<\/p>\n<hr \/>\n<h1>How, Where, and When is Multimer data collected?<\/h1>\n<p><a href=\"http:\/\/collected.multimerdata.com\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-166 size-full\" src=\"https:\/\/dukodestudio.com\/mindriderdata\/wp-content\/uploads\/2015\/01\/HEADER03.png\" width=\"1200\" height=\"550\" srcset=\"https:\/\/dukodestudio.com\/mindriderdata\/wp-content\/uploads\/2015\/01\/HEADER03.png 1200w, https:\/\/dukodestudio.com\/mindriderdata\/wp-content\/uploads\/2015\/01\/HEADER03-300x138.png 300w, https:\/\/dukodestudio.com\/mindriderdata\/wp-content\/uploads\/2015\/01\/HEADER03-768x352.png 768w, https:\/\/dukodestudio.com\/mindriderdata\/wp-content\/uploads\/2015\/01\/HEADER03-1024x469.png 1024w\" sizes=\"auto, (max-width: 1200px) 100vw, 1200px\" \/><\/a><\/p>\n<p>We collect biosensor data directly from sensors that people wear as they move through the city, at all times of day. We&#8217;ve developed a scalable, low-cost fleet model for deploying these sensors on paid and volunteer pedestrians, drivers, and cyclists. With this fleet model, we\u2019re developing a first-of-its-kind database of how people experience place. For our most recent pilot, we collected brainwave data, and our collection focused on Manhattan below Central Park. This allowed for an analytics-friendly dataset that has depth over both time and space.<\/p>\n<p>Statistically speaking, human experience bears out similar patterns as people move through the environment. But to paint the most granular picture of a location, we are collecting data from as many kinds of people as possible. By measuring the brainwaves of riders as they ride through the city, Multimer is able measure their concentration and stress levels and determine their \u201crider experience\u201d. By measuring the \u201crider experience\u201d along with the \u201cpedestrian experience\u201d and \u201cdriver experience\u201d Multimer quantifies the \u201ccity experience.\u201d<\/p>\n<hr \/>\n<h1>Who Makes Multimer?<\/h1>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-181\" src=\"https:\/\/dukodestudio.com\/mindriderdata\/wp-content\/uploads\/2015\/01\/Screen-Shot-2016-06-04-at-3.30.20-PM.png\" alt=\"Screen Shot 2016-06-04 at 3.30.20 PM\" width=\"1183\" height=\"740\" srcset=\"https:\/\/dukodestudio.com\/mindriderdata\/wp-content\/uploads\/2015\/01\/Screen-Shot-2016-06-04-at-3.30.20-PM.png 1183w, https:\/\/dukodestudio.com\/mindriderdata\/wp-content\/uploads\/2015\/01\/Screen-Shot-2016-06-04-at-3.30.20-PM-300x188.png 300w, https:\/\/dukodestudio.com\/mindriderdata\/wp-content\/uploads\/2015\/01\/Screen-Shot-2016-06-04-at-3.30.20-PM-768x480.png 768w, https:\/\/dukodestudio.com\/mindriderdata\/wp-content\/uploads\/2015\/01\/Screen-Shot-2016-06-04-at-3.30.20-PM-1024x641.png 1024w\" sizes=\"auto, (max-width: 1183px) 100vw, 1183px\" \/><\/p>\n<p>Multimer grew from Arlene Ducao\u2019s graduate work at MIT, was incubated as part of the MIT E14 Fund, and was accelerated in the SOSV- and BMW-sponsored Urban-X program. Its co-PIs are Arlene Ducao and Ilias Koen, co-founders of DuKode \/ DuKorp and fellows at the MIT E-Lab.<\/p>\n<p>Multimer\u2019s team also includes Natalia Villegas (partnerships), Yapah Berry (hardware), Jennifer Sta. Ines (data science), and Tania van Bergen (UX). The team has a mission-driven background and its members have worked for organizations including MIT, NYC DOT, AMNH, NYU, Columbia University, and Best Buy. Multimer&#8217;s advisors include experts from NYU&#8217;s Center for Neural Science, MIT Media Lab, StreetEasy, Columbia University, and Facebook.<\/p>\n<hr \/>\n<h1>I want Multimer!<\/h1>\n<p>Great. <a href=\"https:\/\/dukodestudio.com\/mindriderdata\/?page_id=183\">Request a sample here<\/a> and sign up for our mailing list!<\/p>\n<p><span style=\"line-height: 1.428571429;\">[mc4wp_form]<\/span><\/p>\n<div style=\"text-align: left; width: 750px;\" data-bindattr-216=\"216\"><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Check out Multimer&#8217;s maps of Manhattan&#8217;s Best Experiences: Best Places for Retail Best Neighborhoods Categorized Human Signals Collected Human Signals Multimer makes location decisions easier by collecting and analyzing millions of quantified self data points throughout the city. For this first-of-its-kind system, Multimer develops proprietary wearable sensors, deploys them on multitudes of people every day, then analyzes the data against&hellip; <\/p>\n<p><a class=\"more-link\" href=\"https:\/\/dukodestudio.com\/mindriderdata\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-2","page","type-page","status-publish","hentry","xfolkentry","clearfix"],"_links":{"self":[{"href":"https:\/\/dukodestudio.com\/mindriderdata\/index.php?rest_route=\/wp\/v2\/pages\/2","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dukodestudio.com\/mindriderdata\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/dukodestudio.com\/mindriderdata\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/dukodestudio.com\/mindriderdata\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dukodestudio.com\/mindriderdata\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2"}],"version-history":[{"count":100,"href":"https:\/\/dukodestudio.com\/mindriderdata\/index.php?rest_route=\/wp\/v2\/pages\/2\/revisions"}],"predecessor-version":[{"id":222,"href":"https:\/\/dukodestudio.com\/mindriderdata\/index.php?rest_route=\/wp\/v2\/pages\/2\/revisions\/222"}],"wp:attachment":[{"href":"https:\/\/dukodestudio.com\/mindriderdata\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}