{"id":278682,"date":"2016-08-17T18:12:26","date_gmt":"2016-08-18T01:12:26","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-event&p=278682"},"modified":"2016-08-17T18:12:26","modified_gmt":"2016-08-18T01:12:26","slug":"predicting-understanding-2012-election","status":"publish","type":"msr-event","link":"https:\/\/www.microsoft.com\/en-us\/research\/event\/predicting-understanding-2012-election\/","title":{"rendered":"Predicting and Understanding the 2012 Election"},"content":{"rendered":"

Venue:\u00a0<\/b>Microsoft New England Research & Development Center<\/a>
\n11th<\/sup><\/sub> Floor Commons
\nOne Memorial Drive, Cambridge, MA<\/p>\n

Arrival Guidance:\u00a0<\/b>Upon arrival, be prepared to show a picture ID and sign the Building Visitor Log when approaching the Lobby Floor Security Desk.<\/p>\n

Questions? <\/strong>Please send an email to the <\/a>organizing committee<\/a>.<\/p>\n

To\u00a0learn more about David Rothschild and his research, visit this link<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

Venue:\u00a0Microsoft New England Research & Development Center 11th Floor Commons One Memorial Drive, Cambridge, MA Arrival Guidance:\u00a0Upon arrival, be prepared to show a picture ID and sign the Building Visitor Log when approaching the Lobby Floor Security Desk. Questions? Please send an email to the organizing committee. To\u00a0learn more about David Rothschild and his research, […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_startdate":"2012-10-19","msr_enddate":"2012-10-19","msr_location":"Cambridge, MA","msr_expirationdate":"","msr_event_recording_link":"","msr_event_link":"","msr_event_link_redirect":false,"msr_event_time":"11:30am - 1:00pm","msr_hide_region":false,"msr_private_event":true,"footnotes":""},"research-area":[],"msr-region":[],"msr-event-type":[],"msr-video-type":[],"msr-locale":[268875],"msr-program-audience":[],"msr-post-option":[],"msr-impact-theme":[],"class_list":["post-278682","msr-event","type-msr-event","status-publish","hentry","msr-locale-en_us"],"msr_about":"Venue:\u00a0<\/b>Microsoft New England Research & Development Center<\/a>\r\n11th<\/sup><\/sub> Floor Commons\r\nOne Memorial Drive, Cambridge, MA\r\n\r\nArrival Guidance:\u00a0<\/b>Upon arrival, be prepared to show a picture ID and sign the Building Visitor Log when approaching the Lobby Floor Security Desk.\r\n\r\nQuestions? <\/strong>Please send an email to the <\/a>organizing committee<\/a>.\r\n\r\nTo\u00a0learn more about David Rothschild and his research, visit this link<\/a>.","tab-content":[{"id":0,"name":"About","content":"Microsoft Research New England will occasionally host academic lectures of broad interest. We welcome those interested to attend.\r\n

Predicting and Understanding the 2012 Election<\/h2>\r\nDavid Rothschild, Microsoft Research New York City\u00a0<\/em>\r\n

Description<\/h2>\r\nFor over 75 years forecasting of elections has been static; ask a random sample of representative group of voters who they would vote for if the election were held today and report the poll result. First, I demonstrate that the same samples could be addressed with other questions to produce a more accurate standard forecast (i.e., binary winner and\/or expected vote share). Second, I challenge the standard forecast; what most stakeholders really want and need are more innovative forecasts like probability of victory or even probability distributions. Third, I show how both standard and innovative forecasts can be made more efficient with the new methods that utilize more cost effective non-representative samples and, in time, passively generated social media data. Fourth, I show how Microsoft is going to be a leader in this new innovation. Finally, I will tell you who is going to win the election.\r\n

Biography<\/h2>\r\nDavid Rothschild is an economist at Microsoft Research in New York City. He has a Ph.D. in applied economics from the Wharton School of Business at the University of Pennsylvania. He has written extensively, in both the academic and popular press, on polling, prediction markets, and predictions of upcoming events; most of his popular work has focused on predicting elections and an economist take on public policy. He has academic papers that cover the following interest areas: political economy, behavior economics\/public opinion, public economics\/public policy, industrial organization, and experimental economics. After joining Microsoft in May he has been busy building prediction and sentiment models, and organizing novel\/experimental polling and prediction games."}],"msr_startdate":"2012-10-19","msr_enddate":"2012-10-19","msr_event_time":"11:30am - 1:00pm","msr_location":"Cambridge, MA","msr_event_link":"","msr_event_recording_link":"","msr_startdate_formatted":"October 19, 2012","msr_register_text":"Watch now","msr_cta_link":"","msr_cta_text":"","msr_cta_bi_name":"","featured_image_thumbnail":null,"event_excerpt":"Microsoft Research New England will occasionally host academic lectures of broad interest. We welcome those interested to attend. Predicting and Understanding the 2012 Election David Rothschild, Microsoft Research New York City\u00a0 Description For over 75 years forecasting of elections has been static; ask a random sample of representative group of voters who they would vote for if the election were held today and report the poll result. First, I demonstrate that the same samples could…","msr_research_lab":[199563],"related-researchers":[],"msr_impact_theme":[],"related-academic-programs":[],"related-groups":[],"related-projects":[],"related-opportunities":[],"related-publications":[],"related-videos":[],"related-posts":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/278682"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-event"}],"version-history":[{"count":0,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/278682\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=278682"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=278682"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=278682"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=278682"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=278682"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=278682"},{"taxonomy":"msr-program-audience","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-program-audience?post=278682"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=278682"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=278682"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}