{"id":278655,"date":"2016-08-17T17:26:52","date_gmt":"2016-08-18T00:26:52","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-event&p=278655"},"modified":"2025-08-06T11:59:44","modified_gmt":"2025-08-06T18:59:44","slug":"msrne-5th-anniversary-symposium-2","status":"publish","type":"msr-event","link":"https:\/\/www.microsoft.com\/en-us\/research\/event\/msrne-5th-anniversary-symposium-2\/","title":{"rendered":"MSRNE 5th Anniversary Symposium"},"content":{"rendered":"\n\n

Venue:<\/strong> Microsoft Research New England<\/a>
\nFirst Floor Conference Center
\nOne Memorial Drive, Cambridge, MAOpens in a new tab<\/span><\/p>\n

Since its founding in 2008, Microsoft Research New England has pursued new, interdisciplinary areas of research that bring together traditional mathematical sciences, such as theoretical computer science, machine learning, physics, and mathematics itself, with other sciences, including social sciences such as empirical economics, sociology, and psychology, and the biological and biomedical sciences.<\/p>\n

To mark the fifth anniversary of Microsoft Research New England, we are hosting a one-day symposium comprised of themed talks focused on mathematics and theory, economics, big data and machine learning, and social media. Join us in Cambridge, Mass. as we welcome researchers, faculty, and students to discuss advancing the state of the art.Opens in a new tab<\/span><\/p>\n

Note: To view videos of the symposium talks, please click on the agenda titles below<\/em><\/p>\n

9:00 – 9:30
\nAgenda<\/p>\n

9:30 – 10:00
\nRegistration<\/p>\n

10:00 – 11:00
\nOpening Remarks<\/a>
\nJennifer Chayes<\/a>, Managing Director, MSRNE, Microsoft Research
\nPeter Lee<\/a>, Corporate Vice President, Microsoft Research
\nJeannette Wing<\/a>, Corporate Vice President, Microsoft Research<\/p>\n

11:00 – 11:15
\nMathematics and Theoretical Computer Science<\/a>
\nChair: Henry Cohn<\/a>
\nSpeakers: Nadia Heninger (opens in new tab)<\/span><\/a>, University of Pennsylvania, Madhu Sudan, Microsoft Research; Peter Winkler (opens in new tab)<\/span><\/a>, Dartmouth<\/p>\n

This session\u2019s presentations illustrate the work going on in theoretical computer science and mathematics at MSRNE, connections with academia, and real-world applications.<\/p>\n

11:15 – 12:15
\nBreak<\/p>\n

12:15 – 1:30
\nProgress and New Challenges in Machine Learning\/Big Data<\/a>
\nChair: Sham Kakade
\nSpeakers: Eric Horvitz<\/a>, Microsoft Research; David Rothschild<\/a>, Microsoft Research; Antonio Torralba (opens in new tab)<\/span><\/a>, Massachusetts Institute of Technology; Hanna Wallach (opens in new tab)<\/span><\/a>, University of Massachusetts Amherst<\/p>\n

Machine learning has enjoyed much progress in recent years, where algorithmic advances have led to breakthroughs in speech recognition, machine translation, visual object recognition, computational biology, and more. This session will explore this progress along with future challenges that we will face, including technological problems and issues at the intersection of social science.<\/p>\n

1:30 – 2:30
\nLunch<\/p>\n

2:30 – 2:45
\nEconomics and Computer Science: A Dialogue<\/a>
\nChair: Nicole Immorlica<\/a>
\nDiscussants: Sergiu Hart (opens in new tab)<\/span><\/a>, The Hebrew University of Jerusalem; Christos Papadimitriou (opens in new tab)<\/span><\/a>, University of California at Berkeley<\/p>\n

The interface between economics and computer science has greatly advanced the state of the art in both fields. This session features two thought leaders, one from economics and one from computer science, and their comments on how this interface has impacted their own research and the direction of research within their respective fields.<\/p>\n

2:45 – 3:45
\nBreak<\/p>\n

3:45 – 5:15
\nSociety, Politics and the Algorithm: Social Science in the Lab<\/a>
\nChair: Kate Crawford (opens in new tab)<\/span><\/a>
\nSpeakers: Tarleton Gillespie, Cornell University; Andr\u00e9s Monroy-Hern\u00e1ndez, Microsoft Research; Gina Neff (opens in new tab)<\/span><\/a>, University of Washington<\/p>\n

In this session we will hear talks from three leading researchers who study the social contexts of information technologies. They will highlight the way in which big data, algorithms and social media play a role in our health, politics and public spaces.<\/p>\n

5:15 – 5:30
\nPanel: Interdisciplinary Science in the Age of Big Data
\nChair: Jennifer Chayes<\/a>
\nPanelists: Amitabh Chandra (opens in new tab)<\/span><\/a>, Harvard University; Ed Felten (opens in new tab)<\/span><\/a>, Princeton University; Jill Mesirov (opens in new tab)<\/span><\/a>, Broad Institute of MIT and Harvard; Duncan Watts<\/a>, Microsoft Research<\/p>\n

One of the founding missions of MSRNE was to bring together scientists in the disciplines of anthropology, sociology, economics and the biomedical sciences with computer scientists. In the intervening five years, as these disciplines have become increasingly data-driven, this mission has assumed even greater significance. This panel brings together experts in social and biomedical sciences, as well as data security and data integrity, to discuss both the opportunities and the risks of interdisciplinary science in the age of big data.<\/p>\n

5:30 – 7:30
\nChristian Borgs<\/a>, Deputy Managing Director, MSRNE, Microsoft Research
\nClosing Remarks<\/p>\n

Reception
\nAttendees are invited to join the speakers for a reception immediately following the Symposium.Opens in a new tab<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Since its founding in 2008, Microsoft Research New England has pursued new, interdisciplinary areas of research that bring together traditional mathematical sciences, such as theoretical computer science, machine learning, physics, and mathematics itself, with other sciences, including social sciences such as empirical economics, sociology, and psychology, and the biological and biomedical sciences.<\/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":"2013-10-08","msr_enddate":"2013-10-08","msr_location":"Cambridge, MA","msr_expirationdate":"","msr_event_recording_link":"","msr_event_link":"","msr_event_link_redirect":false,"msr_event_time":"9:00 AM - 5:30 PM","msr_hide_region":true,"msr_private_event":true,"msr_hide_image_in_river":0,"footnotes":""},"research-area":[],"msr-region":[197900],"msr-event-type":[197944],"msr-video-type":[],"msr-locale":[268875],"msr-program-audience":[],"msr-post-option":[],"msr-impact-theme":[],"class_list":["post-278655","msr-event","type-msr-event","status-publish","hentry","msr-region-north-america","msr-event-type-hosted-by-microsoft","msr-locale-en_us"],"msr_about":"\n\n

Venue:<\/strong> Microsoft Research New England<\/a>
\nFirst Floor Conference Center
\nOne Memorial Drive, Cambridge, MAOpens in a new tab<\/span><\/p>\n

Since its founding in 2008, Microsoft Research New England has pursued new, interdisciplinary areas of research that bring together traditional mathematical sciences, such as theoretical computer science, machine learning, physics, and mathematics itself, with other sciences, including social sciences such as empirical economics, sociology, and psychology, and the biological and biomedical sciences.<\/p>\n

To mark the fifth anniversary of Microsoft Research New England, we are hosting a one-day symposium comprised of themed talks focused on mathematics and theory, economics, big data and machine learning, and social media. Join us in Cambridge, Mass. as we welcome researchers, faculty, and students to discuss advancing the state of the art.Opens in a new tab<\/span><\/p>\n

Note: To view videos of the symposium talks, please click on the agenda titles below<\/em><\/p>\n

9:00 – 9:30
\nAgenda<\/p>\n

9:30 – 10:00
\nRegistration<\/p>\n

10:00 – 11:00
\nOpening Remarks<\/a>
\nJennifer Chayes<\/a>, Managing Director, MSRNE, Microsoft Research
\nPeter Lee<\/a>, Corporate Vice President, Microsoft Research
\nJeannette Wing<\/a>, Corporate Vice President, Microsoft Research<\/p>\n

11:00 – 11:15
\nMathematics and Theoretical Computer Science<\/a>
\nChair: Henry Cohn<\/a>
\nSpeakers: Nadia Heninger<\/a>, University of Pennsylvania, Madhu Sudan, Microsoft Research; Peter Winkler<\/a>, Dartmouth<\/p>\n

This session\u2019s presentations illustrate the work going on in theoretical computer science and mathematics at MSRNE, connections with academia, and real-world applications.<\/p>\n

11:15 – 12:15
\nBreak<\/p>\n

12:15 – 1:30
\nProgress and New Challenges in Machine Learning\/Big Data<\/a>
\nChair: Sham Kakade
\nSpeakers: Eric Horvitz<\/a>, Microsoft Research; David Rothschild<\/a>, Microsoft Research; Antonio Torralba<\/a>, Massachusetts Institute of Technology; Hanna Wallach<\/a>, University of Massachusetts Amherst<\/p>\n

Machine learning has enjoyed much progress in recent years, where algorithmic advances have led to breakthroughs in speech recognition, machine translation, visual object recognition, computational biology, and more. This session will explore this progress along with future challenges that we will face, including technological problems and issues at the intersection of social science.<\/p>\n

1:30 – 2:30
\nLunch<\/p>\n

2:30 – 2:45
\nEconomics and Computer Science: A Dialogue<\/a>
\nChair: Nicole Immorlica<\/a>
\nDiscussants: Sergiu Hart<\/a>, The Hebrew University of Jerusalem; Christos Papadimitriou<\/a>, University of California at Berkeley<\/p>\n

The interface between economics and computer science has greatly advanced the state of the art in both fields. This session features two thought leaders, one from economics and one from computer science, and their comments on how this interface has impacted their own research and the direction of research within their respective fields.<\/p>\n

2:45 – 3:45
\nBreak<\/p>\n

3:45 – 5:15
\nSociety, Politics and the Algorithm: Social Science in the Lab<\/a>
\nChair: Kate Crawford<\/a>
\nSpeakers: Tarleton Gillespie, Cornell University; Andr\u00e9s Monroy-Hern\u00e1ndez, Microsoft Research; Gina Neff<\/a>, University of Washington<\/p>\n

In this session we will hear talks from three leading researchers who study the social contexts of information technologies. They will highlight the way in which big data, algorithms and social media play a role in our health, politics and public spaces.<\/p>\n

5:15 – 5:30
\nPanel: Interdisciplinary Science in the Age of Big Data
\nChair: Jennifer Chayes<\/a>
\nPanelists: Amitabh Chandra<\/a>, Harvard University; Ed Felten<\/a>, Princeton University; Jill Mesirov<\/a>, Broad Institute of MIT and Harvard; Duncan Watts<\/a>, Microsoft Research<\/p>\n

One of the founding missions of MSRNE was to bring together scientists in the disciplines of anthropology, sociology, economics and the biomedical sciences with computer scientists. In the intervening five years, as these disciplines have become increasingly data-driven, this mission has assumed even greater significance. This panel brings together experts in social and biomedical sciences, as well as data security and data integrity, to discuss both the opportunities and the risks of interdisciplinary science in the age of big data.<\/p>\n

5:30 – 7:30
\nChristian Borgs<\/a>, Deputy Managing Director, MSRNE, Microsoft Research
\nClosing Remarks<\/p>\n

Reception
\nAttendees are invited to join the speakers for a reception immediately following the Symposium.Opens in a new tab<\/span><\/p>\n","tab-content":[{"id":0,"name":"About","content":"Since its founding in 2008, Microsoft Research New England has pursued new, interdisciplinary areas of research that bring together traditional mathematical sciences, such as theoretical computer science, machine learning, physics, and mathematics itself, with other sciences, including social sciences such as empirical economics, sociology, and psychology, and the biological and biomedical sciences.\r\n\r\nTo mark the fifth anniversary of Microsoft Research New England, we are hosting a one-day symposium comprised of themed talks focused on mathematics and theory, economics, big data and machine learning, and social media. Join us in Cambridge, Mass. as we welcome researchers, faculty, and students to discuss advancing the state of the art."},{"id":1,"name":"Agenda","content":"Note: To view videos of the symposium talks, please click on the agenda titles below<\/em>\r\n\r\n9:00 - 9:30\r\nAgenda\r\n\r\n9:30 - 10:00\r\nRegistration\r\n\r\n10:00 - 11:00\r\nOpening Remarks<\/a>\r\nJennifer Chayes<\/a>, Managing Director, MSRNE, Microsoft Research\r\nPeter Lee<\/a>, Corporate Vice President, Microsoft Research\r\nJeannette Wing<\/a>, Corporate Vice President, Microsoft Research\r\n\r\n11:00 - 11:15\r\nMathematics and Theoretical Computer Science<\/a>\r\nChair: Henry Cohn<\/a>\r\nSpeakers: Nadia Heninger<\/a>, University of Pennsylvania, Madhu Sudan, Microsoft Research; Peter Winkler<\/a>, Dartmouth\r\n\r\nThis session\u2019s presentations illustrate the work going on in theoretical computer science and mathematics at MSRNE, connections with academia, and real-world applications.\r\n\r\n11:15 - 12:15\r\nBreak\r\n\r\n12:15 - 1:30\r\nProgress and New Challenges in Machine Learning\/Big Data<\/a>\r\nChair: Sham Kakade\r\nSpeakers: Eric Horvitz<\/a>, Microsoft Research; David Rothschild<\/a>, Microsoft Research; Antonio Torralba<\/a>, Massachusetts Institute of Technology; Hanna Wallach<\/a>, University of Massachusetts Amherst\r\n\r\nMachine learning has enjoyed much progress in recent years, where algorithmic advances have led to breakthroughs in speech recognition, machine translation, visual object recognition, computational biology, and more. This session will explore this progress along with future challenges that we will face, including technological problems and issues at the intersection of social science.\r\n\r\n1:30 - 2:30\r\nLunch\r\n\r\n2:30 - 2:45\r\nEconomics and Computer Science: A Dialogue<\/a>\r\nChair: Nicole Immorlica<\/a>\r\nDiscussants: Sergiu Hart<\/a>, The Hebrew University of Jerusalem; Christos Papadimitriou<\/a>, University of California at Berkeley\r\n\r\nThe interface between economics and computer science has greatly advanced the state of the art in both fields. This session features two thought leaders, one from economics and one from computer science, and their comments on how this interface has impacted their own research and the direction of research within their respective fields.\r\n\r\n2:45 - 3:45\r\nBreak\r\n\r\n3:45 - 5:15\r\nSociety, Politics and the Algorithm: Social Science in the Lab<\/a>\r\nChair: Kate Crawford<\/a>\r\nSpeakers: Tarleton Gillespie, Cornell University; Andr\u00e9s Monroy-Hern\u00e1ndez, Microsoft Research; Gina Neff<\/a>, University of Washington\r\n\r\nIn this session we will hear talks from three leading researchers who study the social contexts of information technologies. They will highlight the way in which big data, algorithms and social media play a role in our health, politics and public spaces.\r\n\r\n5:15 - 5:30\r\nPanel: Interdisciplinary Science in the Age of Big Data\r\nChair: Jennifer Chayes<\/a>\r\nPanelists: Amitabh Chandra<\/a>, Harvard University; Ed Felten<\/a>, Princeton University; Jill Mesirov<\/a>, Broad Institute of MIT and Harvard; Duncan Watts<\/a>, Microsoft Research\r\n\r\nOne of the founding missions of MSRNE was to bring together scientists in the disciplines of anthropology, sociology, economics and the biomedical sciences with computer scientists. In the intervening five years, as these disciplines have become increasingly data-driven, this mission has assumed even greater significance. This panel brings together experts in social and biomedical sciences, as well as data security and data integrity, to discuss both the opportunities and the risks of interdisciplinary science in the age of big data.\r\n\r\n5:30 - 7:30\r\nChristian Borgs<\/a>, Deputy Managing Director, MSRNE, Microsoft Research\r\nClosing Remarks\r\n\r\nReception\r\nAttendees are invited to join the speakers for a reception immediately following the Symposium."}],"msr_startdate":"2013-10-08","msr_enddate":"2013-10-08","msr_event_time":"9:00 AM - 5:30 PM","msr_location":"Cambridge, MA","msr_event_link":"","msr_event_recording_link":"","msr_startdate_formatted":"October 8, 2013","msr_register_text":"Watch now","msr_cta_link":"","msr_cta_text":"","msr_cta_bi_name":"","featured_image_thumbnail":null,"event_excerpt":"Since its founding in 2008, Microsoft Research New England has pursued new, interdisciplinary areas of research that bring together traditional mathematical sciences, such as theoretical computer science, machine learning, physics, and mathematics itself, with other sciences, including social sciences such as empirical economics, sociology, and psychology, and the biological and biomedical sciences.","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\/278655","targetHints":{"allow":["GET"]}}],"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":4,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/278655\/revisions"}],"predecessor-version":[{"id":1147295,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/278655\/revisions\/1147295"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=278655"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=278655"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=278655"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=278655"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=278655"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=278655"},{"taxonomy":"msr-program-audience","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-program-audience?post=278655"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=278655"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=278655"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}