{"id":190793,"date":"2014-04-17T00:00:00","date_gmt":"2014-04-16T13:06:28","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/msr-research-item\/herehere-nyc-provides-insight-into-how-your-neighborhood-is-doing\/"},"modified":"2025-07-15T13:45:18","modified_gmt":"2025-07-15T20:45:18","slug":"herehere-nyc-provides-insight-into-how-your-neighborhood-is-doing","status":"publish","type":"msr-video","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/video\/herehere-nyc-provides-insight-into-how-your-neighborhood-is-doing\/","title":{"rendered":"HereHere NYC Provides Insight Into How Your Neighborhood Is Doing"},"content":{"rendered":"<div class=\"asset-content\">\n<p>HereHere NYC is a research project that enables neighborhoods to generate opinions based on public data. The project summarizes how your neighborhood, or other New York City neighborhoods of interest, are doing via a daily email digest, neighborhood-specific Twitter feeds, and status updates on a map. The goals are to:<\/p>\n<ul>\n<li>Create compelling stories with data to engage larger communities. <\/li>\n<li>Invent light daily rituals for connecting to the hyperlocal. <\/li>\n<li>Using characterization as a tool to drive data engagement. <\/li>\n<\/ul>\n<p>HereHere uses Project Sentient Data, an early-stage project to explore how interactions can be improved by understanding ecosystems of data in terms of characterization, personalities, and relationships. Sentient Data provides a server and a representational-state-transfer API that enables developers to assign personalities and translate data sets into their relative emotion states.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>HereHere NYC is a research project that enables neighborhoods to generate opinions based on public data. The project summarizes how your neighborhood, or other New York City neighborhoods of interest, are doing via a daily email digest, neighborhood-specific Twitter feeds, and status updates on a map. The goals are to: Create compelling stories with data [&hellip;]<\/p>\n","protected":false},"featured_media":198310,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_hide_image_in_river":null,"footnotes":""},"research-area":[13556],"msr-video-type":[],"msr-locale":[268875],"msr-post-option":[],"msr-session-type":[],"msr-impact-theme":[],"msr-pillar":[],"msr-episode":[],"msr-research-theme":[],"class_list":["post-190793","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/cpw0_6G6L5E","msr_secondary_video_url":"","msr_video_file":"http:\/\/0","_links":{"self":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/190793","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":1,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/190793\/revisions"}],"predecessor-version":[{"id":1144945,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/190793\/revisions\/1144945"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/media\/198310"}],"wp:attachment":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/media?parent=190793"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=190793"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=190793"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=190793"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=190793"},{"taxonomy":"msr-session-type","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-session-type?post=190793"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=190793"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=190793"},{"taxonomy":"msr-episode","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-episode?post=190793"},{"taxonomy":"msr-research-theme","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-research-theme?post=190793"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}