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DTSTART;TZID=America/New_York:20161118T110000
DTEND;TZID=America/New_York:20161118T110000
DTSTAMP:20260407T110708
CREATED:20190627T212143Z
LAST-MODIFIED:20190627T212143Z
UID:10122-1479466800-1479466800@idss-stage.mit.edu
SUMMARY:Interpretable prediction models for network-linked data
DESCRIPTION:The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability\, statistics\, optimization\, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated around a core group composed of faculty\, postdocs and graduate students from different department and affiliated with IDSS. Every week\, this audience is supplemented by a large number—often more than doubled—of attendees from all of MIT reflecting the interdisciplinary nature of the stochastics and statistics seminar. 
URL:https://idss-stage.mit.edu/calendar/interpretable-prediction-models-for-network-linked-data-2/
LOCATION:32-141\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20161108T160000
DTEND;TZID=America/New_York:20161108T160000
DTSTAMP:20260407T110708
CREATED:20190627T212144Z
LAST-MODIFIED:20190627T212144Z
UID:10123-1478620800-1478620800@idss-stage.mit.edu
SUMMARY:IDSS Distinguished Seminar 
DESCRIPTION:IDSS Distinguished Seminars is a monthly lecture series featuring prominent global leaders and academics sharing research in areas that include social networks\, causal inference\, data privacy\, computational social science and other areas that are impacted by the emergence of big data.  
URL:https://idss-stage.mit.edu/calendar/idss-distinguished-seminar-3/
LOCATION:32-141\, United States
CATEGORIES:IDSS Distinguished Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20161104T110000
DTEND;TZID=America/New_York:20161104T110000
DTSTAMP:20260407T110708
CREATED:20190627T212144Z
LAST-MODIFIED:20190627T212144Z
UID:10124-1478257200-1478257200@idss-stage.mit.edu
SUMMARY:Stochastics and Statistics Seminar Series
DESCRIPTION:The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability\, statistics\, optimization\, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated around a core group composed of faculty\, postdocs and graduate students from different department and affiliated with IDSS. Every week\, this audience is supplemented by a large number—often more than doubled—of attendees from all of MIT reflecting the interdisciplinary nature of the stochastics and statistics seminar. 
URL:https://idss-stage.mit.edu/calendar/stochastics-and-statistics-seminar-series-2/
LOCATION:E18-304\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20161101T160000
DTEND;TZID=America/New_York:20161101T160000
DTSTAMP:20260407T110708
CREATED:20190627T212144Z
LAST-MODIFIED:20190627T212144Z
UID:10125-1478016000-1478016000@idss-stage.mit.edu
SUMMARY:Community Detection in Networks: Algorithms\, Complexity\, and Information Limits
DESCRIPTION:The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area\, as well as exciting recent progress in that area. Intended for a broad audience\, seminar topics span the areas of communications\, computation\, control\, learning\, networks\, probability and statistics\, optimization\, and signal processing. 
URL:https://idss-stage.mit.edu/calendar/community-detection-in-networks-algorithms-complexity-and-information-limits-2/
LOCATION:32-141\, United States
CATEGORIES:LIDS Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20161028T110000
DTEND;TZID=America/New_York:20161028T110000
DTSTAMP:20260407T110708
CREATED:20190627T212145Z
LAST-MODIFIED:20190627T212145Z
UID:10126-1477652400-1477652400@idss-stage.mit.edu
SUMMARY:Matrix estimation by Universal Singular Value Thresholding
DESCRIPTION:The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability\, statistics\, optimization\, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated around a core group composed of faculty\, postdocs and graduate students from different department and affiliated with IDSS. Every week\, this audience is supplemented by a large number—often more than doubled—of attendees from all of MIT reflecting the interdisciplinary nature of the stochastics and statistics seminar. 
URL:https://idss-stage.mit.edu/calendar/matrix-estimation-by-universal-singular-value-thresholding-2/
LOCATION:E18-304\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20161025T160000
DTEND;TZID=America/New_York:20161025T160000
DTSTAMP:20260407T110708
CREATED:20190627T212145Z
LAST-MODIFIED:20190627T212145Z
UID:10127-1477411200-1477411200@idss-stage.mit.edu
SUMMARY:Deep Submodular Functions: Learning and Applications in Data Science
DESCRIPTION:The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area\, as well as exciting recent progress in that area. Intended for a broad audience\, seminar topics span the areas of communications\, computation\, control\, learning\, networks\, probability and statistics\, optimization\, and signal processing. 
URL:https://idss-stage.mit.edu/calendar/deep-submodular-functions-learning-and-applications-in-data-science-2/
LOCATION:32-141\, United States
CATEGORIES:LIDS Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20161021T110000
DTEND;TZID=America/New_York:20161021T110000
DTSTAMP:20260407T110708
CREATED:20190627T212146Z
LAST-MODIFIED:20190627T212146Z
UID:10128-1477047600-1477047600@idss-stage.mit.edu
SUMMARY:On The Asymptotic Performance of fq-regularized LeastSquares
DESCRIPTION:The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability\, statistics\, optimization\, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated around a core group composed of faculty\, postdocs and graduate students from different department and affiliated with IDSS. Every week\, this audience is supplemented by a large number—often more than doubled—of attendees from all of MIT reflecting the interdisciplinary nature of the stochastics and statistics seminar. 
URL:https://idss-stage.mit.edu/calendar/on-the-asymptotic-performance-of-fq-regularized-leastsquares-2/
LOCATION:E18-304\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20161018T160000
DTEND;TZID=America/New_York:20161018T160000
DTSTAMP:20260407T110708
CREATED:20190627T212146Z
LAST-MODIFIED:20190627T212146Z
UID:10129-1476806400-1476806400@idss-stage.mit.edu
SUMMARY:The Moral Character of Cryptographic Work
DESCRIPTION:IDSS Distinguished Seminars is a monthly lecture series featuring prominent global leaders and academics sharing research in areas that include social networks\, causal inference\, data privacy\, computational social science and other areas that are impacted by the emergence of big data.  
URL:https://idss-stage.mit.edu/calendar/the-moral-character-of-cryptographic-work-2/
LOCATION:32-141\, United States
CATEGORIES:IDSS Distinguished Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20161014T110000
DTEND;TZID=America/New_York:20161014T110000
DTSTAMP:20260407T110708
CREATED:20190627T212146Z
LAST-MODIFIED:20190627T212146Z
UID:10130-1476442800-1476442800@idss-stage.mit.edu
SUMMARY:Eigenvectors of Orthogonally Decomposable Functions and Applications
DESCRIPTION:The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability\, statistics\, optimization\, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated around a core group composed of faculty\, postdocs and graduate students from different department and affiliated with IDSS. Every week\, this audience is supplemented by a large number—often more than doubled—of attendees from all of MIT reflecting the interdisciplinary nature of the stochastics and statistics seminar. 
URL:https://idss-stage.mit.edu/calendar/eigenvectors-of-orthogonally-decomposable-functions-and-applications-2/
LOCATION:E18-304\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20161011T160000
DTEND;TZID=America/New_York:20161011T160000
DTSTAMP:20260407T110708
CREATED:20190627T212146Z
LAST-MODIFIED:20190627T212146Z
UID:10131-1476201600-1476201600@idss-stage.mit.edu
SUMMARY:Innovations for the 21st Century Electricity Grid
DESCRIPTION:IDSS Distinguished Seminars is a monthly lecture series featuring prominent global leaders and academics sharing research in areas that include social networks\, causal inference\, data privacy\, computational social science and other areas that are impacted by the emergence of big data.  
URL:https://idss-stage.mit.edu/calendar/innovations-for-the-21st-century-electricity-grid-2/
LOCATION:32-141\, United States
CATEGORIES:IDSS Distinguished Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20161007T110000
DTEND;TZID=America/New_York:20161007T110000
DTSTAMP:20260407T110708
CREATED:20190627T212146Z
LAST-MODIFIED:20190627T212146Z
UID:10132-1475838000-1475838000@idss-stage.mit.edu
SUMMARY:Invertibility and Condition Number of Sparse Random Matrices
DESCRIPTION:The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability\, statistics\, optimization\, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated around a core group composed of faculty\, postdocs and graduate students from different department and affiliated with IDSS. Every week\, this audience is supplemented by a large number—often more than doubled—of attendees from all of MIT reflecting the interdisciplinary nature of the stochastics and statistics seminar. 
URL:https://idss-stage.mit.edu/calendar/invertibility-and-condition-number-of-sparse-random-matrices-2/
LOCATION:E18-304\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20161004T160000
DTEND;TZID=America/New_York:20161004T160000
DTSTAMP:20260407T110708
CREATED:20190627T212147Z
LAST-MODIFIED:20190627T212147Z
UID:10133-1475596800-1475596800@idss-stage.mit.edu
SUMMARY:Fiber-Optic Communication via the Nonlinear Fourier Transform
DESCRIPTION:The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area\, as well as exciting recent progress in that area. Intended for a broad audience\, seminar topics span the areas of communications\, computation\, control\, learning\, networks\, probability and statistics\, optimization\, and signal processing. 
URL:https://idss-stage.mit.edu/calendar/fiber-optic-communication-via-the-nonlinear-fourier-transform-2/
LOCATION:32-141\, United States
CATEGORIES:LIDS Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20161004
DTEND;VALUE=DATE:20161005
DTSTAMP:20260407T110708
CREATED:20190627T212147Z
LAST-MODIFIED:20190627T212147Z
UID:10134-1475539200-1475625599@idss-stage.mit.edu
SUMMARY:Data Science: Data to Insights
DESCRIPTION:MIT Professional Education partners with IDSS to offer this new\, six-week online course focusing on analytics.
URL:https://idss-stage.mit.edu/calendar/data-science-data-to-insights-4/
CATEGORIES:Online events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160930T110000
DTEND;TZID=America/New_York:20160930T110000
DTSTAMP:20260407T110708
CREATED:20190627T212148Z
LAST-MODIFIED:20190627T212148Z
UID:10135-1475233200-1475233200@idss-stage.mit.edu
SUMMARY:Theory to gain insight and inform practice: re-run of IMS Rietz Lecture\, 2016
DESCRIPTION:The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability\, statistics\, optimization\, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated around a core group composed of faculty\, postdocs and graduate students from different department and affiliated with IDSS. Every week\, this audience is supplemented by a large number—often more than doubled—of attendees from all of MIT reflecting the interdisciplinary nature of the stochastics and statistics seminar. 
URL:https://idss-stage.mit.edu/calendar/theory-to-gain-insight-and-inform-practice-re-run-of-ims-rietz-lecture-2016-2/
LOCATION:E18-304\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160927T160000
DTEND;TZID=America/New_York:20160927T160000
DTSTAMP:20260407T110708
CREATED:20190627T212148Z
LAST-MODIFIED:20190627T212148Z
UID:10136-1474992000-1474992000@idss-stage.mit.edu
SUMMARY:Optimization Problems Involving Permutations
DESCRIPTION:The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area\, as well as exciting recent progress in that area. Intended for a broad audience\, seminar topics span the areas of communications\, computation\, control\, learning\, networks\, probability and statistics\, optimization\, and signal processing. 
URL:https://idss-stage.mit.edu/calendar/optimization-problems-involving-permutations-2/
LOCATION:32-141\, United States
CATEGORIES:LIDS Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20160922
DTEND;VALUE=DATE:20160924
DTSTAMP:20260407T110708
CREATED:20190627T212148Z
LAST-MODIFIED:20190724T184801Z
UID:10137-1474502400-1474675199@idss-stage.mit.edu
SUMMARY:Institute for Data\, Systems\, and Society Launch
DESCRIPTION:This two-day “launch” event celebrated the inaugural year of the Institute for Data\, Systems\, and Society (IDSS) and set the stage for this new\, multi-disciplinary endeavor moving forward. The launch brought together thought leaders from academia\, industry\, and government to discuss the challenges and opportunities for research at the forefront of society’s greatest challenges. \nIDSS’s mission is to address complex societal challenges through the advancement of education and research at the intersections of statistics and data science\, information and decision systems\, engineering\, and social sciences. Energy systems\, health analytics\, urban sciences\, financial systems\, and social networks: society’s greatest challenges emerge in these several domains\, as well as in interactions between them. To provide answers to these critical challenges\, IDSS fosters research utilizing vast amounts of available data\, an in-depth understanding of fundamental engineering systems\, and the investigation of social and institutional behaviors. \n  \nOpening Remarks\n \nMIT President L. Rafael Reif & Professor Munther Dahleh\, Director of the Institute for Data\, Systems\, and Society\nSession 1: The Future of Voting \nThe role of technology in voting has gained increasing prominence over the past decade\, creating interdisciplinary collaborations between political\, computer\, and data scientists. Voting data contains an abundance of information that goes beyond the actual vote. This session looked at the complexity of voting\, the usability of computing technologies (such as cryptography) in designing future voting systems\, and how data is playing a role in understanding and predicting voting patterns and the outcome of elections.   \n  \n\nModerator: Professor Charles Stewart\, MIT\n \n \n\nKeynote: Mr. Nate Silver\, fivethirtyeight.com\n \n \n\nProfessor Michael Alvarez\, Caltech\n \n \n\nMs. Kassia DeVorsey\, Chief Analytics Officer\, Messina Group Analytics\nSession 2: Data-Driven Policy \nWhile communities are collecting more data than ever before to measure effects of public policy\, such data sets tend to be quite small. With the absence of a control group\, the assessment of existing policies and the design of new ones utilizing such data bring new challenges to statistics and data science. This panel explored such challenges and highlighted how data analysis has been quite effective in some applications.   \n  \n\nModerator: Professor Alberto Abadie\, MIT\n \n \n\nKeynote: Professor Enrico Giovannini\, University of Rome Tor Vergata\n  \nSession 3: Risk in Financial Systems \nRecent research has been successful in deriving abstracted models of the interconnected financial systems that quantify systemic risk and address cascaded failures of such systems. However\, combining such models with recorded data for the purpose of monitoring and mitigation continues to be a major research and practical challenge. This session discussed such challenges\, as well as the progress that has been made.   \n  \n\nModerator: Professor Asu Ozdaglar\, MIT\n \n \n\nKeynote: Professor Bengt Holmstrom\, MIT\nSession 4: Social Networks \nSocial networks through social media have brought to bear very large data representing people’s preferences and opinions\, and have highlighted effective incentive mechanisms. Such networks also impact and inform a variety of complex systems in our society. Such data has brought in new security and privacy challenges that have occupied much of the research in data science. This panel looked at new opportunities for understanding social networks and human behavior\, as well as technological methods for ensuring security and privacy. \n  \n\nRemarks by Professor Ian A. Waitz\, Dean of the School of Engineering\n  \n\nModerator: Professor Ali Jadbabaie\, MIT\n  \n\nProfessor Jon Kleinberg\, Cornell University\n \n \n\nProfessor Matthew Jackson\, Stanford University\n \n \n\nDr. Jeannette M. Wing\, Microsoft Research\n  \n\nDr. Cynthia Dwork\, Microsoft Research\n  \n\nQuestion and Answer\nSession 5: Future Electric Grid\, 3:00pm-4:00pm\nThe electric grid presents some of the most challenging engineering\, social\, and economic challenges of the future. With increased demands on electricity and increased penetration of renewable sources\, the need for new innovations in dynamic demand response\, spot markets\, and distributed control is rapidly increasing. This session discussed some of these challenges and current work. \n  \n\nModerator: Professor Bob Armstrong\, MIT\n \n \n\nProfessor William Hogan\, Harvard University\n \n \n\nProfessor Michael Greenstone\, University of Chicago\n \n \n\nProfessor Sally Benson\, Stanford University\n \n \n\nProfessor Steven Low\, Caltech\nSession 6: Student Session\, 4:30pm-5:15pm \n\nStudent Session Chair: Professor Sandy Pentland\, MIT\n\nSession 7: Analyzing our Health\nThe collection\, aggregation\, and analysis of medical data presents possibilities for future healthcare developments\, including opportunities for personalized medicine and patient care. The use of big data in medicine also raises serious questions about patient privacy. This session discussed ways in which the practice of medicine is being transformed by data. \n  \n\nRemarks by Professor Melissa Nobles\, Dean of the School of Humanities\, Arts\, and Social Sciences\, MIT\, 9:00am\n \n \n\nKeynote: Dr. DJ Patil\, U.S. Office of Science and Technology Policy\n \n \n\nModerator: Professor Peter Szolovits\, MIT\n \n \n\nDr. John Halamka\, MD\, Chief Information Officer\, Beth Israel Deaconess Medical Center\n \n \n\nProfessor Deborah Estrin\, Cornell Tech\n \n \n\nDr. Elazer Edelman\, MD\, Brigham & Women’s Hospital & Professor of Medicine at Harvard Medical School of Medicine (HMS) and MIT Health Sciences and Technology Program (HST).\nSession 8: Driving Smart Cities forward \nCities will become increasingly interconnected through an ever-expanding “internet of things\,” allowing governments\, urban planners and engineers access to massive amounts of data about urban life. This data is being used to design\, plan\, and structure cities in the United States and around the world. This session sought to explore the many facets of smart-cities research\, design\, planning\, and transportation. \n  \n\nModerator: Professor Sarah Williams\, MIT\n \n \n\nKeynote: Dr. Steven Koonin\, NYU\n \n \n\nProfessor Rob Kitchin\, Maynooth University\n \n \n\nProfessor Balaji Prabhakar\, Stanford University\n \n \n\nProfessor Susan Crawford\, Harvard Law School\n \n \n\nProfessor Alexandre Bayen\, UC Berkeley\nSession 9: From Applications To Theory\, 1:30pm-2:30pm\nWhile applications have their own nuances\, there are overarching challenges that need to be identified and addressed. These include\, among others\, fundamental questions in prediction\, robustness/risk\, computation\, system architecture\, and privacy. This session addressed some of the emerging challenges in these foundational fields in this new era of large data and complex systems. \n  \n\nModerator: Caroline Uhler\, MIT\n \n \n\nProfessor Allen Tannenbaum\, Stony Brook University\n \n \n\nProfessor Elchanan Mossel\, MIT\n \n \n\nProfessor David Tse\, Stanford University\n \n \n\nProfessor Vincent Blondel\, Rector\, Université catholique de Louvain
URL:https://idss-stage.mit.edu/calendar/institute-for-data-systems-and-society-launch/
LOCATION:MIT Media Lab (E14-674)\, United States
CATEGORIES:Conferences and Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160916T110000
DTEND;TZID=America/New_York:20160916T110000
DTSTAMP:20260407T110708
CREATED:20190627T212152Z
LAST-MODIFIED:20190627T212152Z
UID:10138-1474023600-1474023600@idss-stage.mit.edu
SUMMARY:Less is more: optimal learning by subsampling and regularization
DESCRIPTION:The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability\, statistics\, optimization\, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated around a core group composed of faculty\, postdocs and graduate students from different department and affiliated with IDSS. Every week\, this audience is supplemented by a large number—often more than doubled—of attendees from all of MIT reflecting the interdisciplinary nature of the stochastics and statistics seminar. 
URL:https://idss-stage.mit.edu/calendar/less-is-more-optimal-learning-by-subsampling-and-regularization-2/
LOCATION:E18-304\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160915T110000
DTEND;TZID=America/New_York:20160915T110000
DTSTAMP:20260407T110708
CREATED:20190627T212152Z
LAST-MODIFIED:20190829T195738Z
UID:10139-1473937200-1473937200@idss-stage.mit.edu
SUMMARY:Duration and deadline differentiated electricity demand: a model of flexible demand Speaker
DESCRIPTION:
URL:https://idss-stage.mit.edu/calendar/duration-and-deadline-differentiated-electricity-demand-a-model-of-flexible-demand-speaker-2/
LOCATION:E18-304\, United States
CATEGORIES:IDSS Special Seminars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160913T160000
DTEND;TZID=America/New_York:20160913T160000
DTSTAMP:20260407T110708
CREATED:20190627T212153Z
LAST-MODIFIED:20190627T212153Z
UID:10140-1473782400-1473782400@idss-stage.mit.edu
SUMMARY:Geometric Optimization
DESCRIPTION:The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area\, as well as exciting recent progress in that area. Intended for a broad audience\, seminar topics span the areas of communications\, computation\, control\, learning\, networks\, probability and statistics\, optimization\, and signal processing. 
URL:https://idss-stage.mit.edu/calendar/geometric-optimization-2/
LOCATION:32-141\, United States
CATEGORIES:LIDS Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160909T110000
DTEND;TZID=America/New_York:20160909T110000
DTSTAMP:20260407T110708
CREATED:20190627T212153Z
LAST-MODIFIED:20190627T212153Z
UID:10141-1473418800-1473418800@idss-stage.mit.edu
SUMMARY:Couplings of Particle Filters
DESCRIPTION:The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability\, statistics\, optimization\, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated around a core group composed of faculty\, postdocs and graduate students from different department and affiliated with IDSS. Every week\, this audience is supplemented by a large number—often more than doubled—of attendees from all of MIT reflecting the interdisciplinary nature of the stochastics and statistics seminar. 
URL:https://idss-stage.mit.edu/calendar/couplings-of-particle-filters-2/
LOCATION:32-141\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20160712
DTEND;VALUE=DATE:20160715
DTSTAMP:20260407T110708
CREATED:20190627T212153Z
LAST-MODIFIED:20190627T212153Z
UID:10142-1468281600-1468540799@idss-stage.mit.edu
SUMMARY:MITCDOIQ Symposium
DESCRIPTION:Against the backdrop of Big Data\, the Chief Data Officer\, by any name\, is emerging as the central player in the business of data\, including cybersecurity.   In our tenth year\, 2016\, the MITCDOIQ Symposium will continue to explore the developing landscape\, from local organizational issues to global challenges\, through case studies from industry\, academic\, government and healthcare leaders.
URL:https://idss-stage.mit.edu/calendar/mitcdoiq-symposium-2/
LOCATION:Tang Building (E51)\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20160520
DTEND;VALUE=DATE:20160521
DTSTAMP:20260407T110708
CREATED:20190627T212154Z
LAST-MODIFIED:20190627T212154Z
UID:10143-1463702400-1463788799@idss-stage.mit.edu
SUMMARY:MIT Technology & Policy Program (TPP): New Challenges in Technology and Policy
DESCRIPTION:This special anniversary event featured a day of presentations and discussions focused on addressing the next forty years of technology and policy research challenges.
URL:https://idss-stage.mit.edu/calendar/mit-technology-policy-program-tpp-new-challenges-in-technology-and-policy-3/
LOCATION:Samberg Conference Center (E52 7th floor)\, United States
CATEGORIES:Conferences and Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160513T110000
DTEND;TZID=America/New_York:20160513T110000
DTSTAMP:20260407T110708
CREATED:20190627T212154Z
LAST-MODIFIED:20190627T212154Z
UID:10144-1463137200-1463137200@idss-stage.mit.edu
SUMMARY:Scaling and Generalizing Variational Inference
DESCRIPTION:The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability\, statistics\, optimization\, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated around a core group composed of faculty\, postdocs and graduate students from different department and affiliated with IDSS. Every week\, this audience is supplemented by a large number—often more than doubled—of attendees from all of MIT reflecting the interdisciplinary nature of the stochastics and statistics seminar. 
URL:https://idss-stage.mit.edu/calendar/scaling-and-generalizing-variational-inference-3/
LOCATION:32-123\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20160509
DTEND;VALUE=DATE:20160510
DTSTAMP:20260407T110708
CREATED:20190627T212154Z
LAST-MODIFIED:20190627T212154Z
UID:10145-1462752000-1462838399@idss-stage.mit.edu
SUMMARY:MIT Startup Exchange: Intelligent Mobility
DESCRIPTION:Emilio Frazzoli giving a keynote talk at MIT Startup Exchange event: “Intelligent Mobility: driverless cars\, ambient intelligence\, transportation networks.”
URL:https://idss-stage.mit.edu/calendar/mit-startup-exchange-intelligent-mobility-3/
LOCATION:One Main Street\, Cambridge\, MA\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160506T110000
DTEND;TZID=America/New_York:20160506T110000
DTSTAMP:20260407T110708
CREATED:20190627T212154Z
LAST-MODIFIED:20190627T212154Z
UID:10146-1462532400-1462532400@idss-stage.mit.edu
SUMMARY:Extracting Governing Equations in Chaotic Systems From Highly Corrupted Data 
DESCRIPTION:The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability\, statistics\, optimization\, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated around a core group composed of faculty\, postdocs and graduate students from different department and affiliated with IDSS. Every week\, this audience is supplemented by a large number—often more than doubled—of attendees from all of MIT reflecting the interdisciplinary nature of the stochastics and statistics seminar. 
URL:https://idss-stage.mit.edu/calendar/extracting-governing-equations-in-chaotic-systems-from-highly-corrupted-data-3/
LOCATION:32-123\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160503T160000
DTEND;TZID=America/New_York:20160503T160000
DTSTAMP:20260407T110708
CREATED:20190627T212154Z
LAST-MODIFIED:20190627T212154Z
UID:10147-1462291200-1462291200@idss-stage.mit.edu
SUMMARY:Isoperimetric Games
DESCRIPTION:The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area\, as well as exciting recent progress in that area. Intended for a broad audience\, seminar topics span the areas of communications\, computation\, control\, learning\, networks\, probability and statistics\, optimization\, and signal processing. 
URL:https://idss-stage.mit.edu/calendar/isoperimetric-games-3/
LOCATION:32-155\, United States
CATEGORIES:LIDS Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160429T110000
DTEND;TZID=America/New_York:20160429T110000
DTSTAMP:20260407T110708
CREATED:20190627T212155Z
LAST-MODIFIED:20190627T212155Z
UID:10148-1461927600-1461927600@idss-stage.mit.edu
SUMMARY:Double Machine Learning: Improved Point and Interval Estimation of Treatment and Causal Parameters
DESCRIPTION:The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability\, statistics\, optimization\, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated around a core group composed of faculty\, postdocs and graduate students from different department and affiliated with IDSS. Every week\, this audience is supplemented by a large number—often more than doubled—of attendees from all of MIT reflecting the interdisciplinary nature of the stochastics and statistics seminar. 
URL:https://idss-stage.mit.edu/calendar/double-machine-learning-improved-point-and-interval-estimation-of-treatment-and-causal-parameters-3/
LOCATION:32-123\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160422T110000
DTEND;TZID=America/New_York:20160422T110000
DTSTAMP:20260407T110708
CREATED:20190627T212155Z
LAST-MODIFIED:20190627T212155Z
UID:10149-1461322800-1461322800@idss-stage.mit.edu
SUMMARY:Recent Advances in Trend Filtering
DESCRIPTION:The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability\, statistics\, optimization\, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated around a core group composed of faculty\, postdocs and graduate students from different department and affiliated with IDSS. Every week\, this audience is supplemented by a large number—often more than doubled—of attendees from all of MIT reflecting the interdisciplinary nature of the stochastics and statistics seminar. 
URL:https://idss-stage.mit.edu/calendar/recent-advances-in-trend-filtering-3/
LOCATION:32-123\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160420T173000
DTEND;TZID=America/New_York:20160420T173000
DTSTAMP:20260407T110708
CREATED:20190627T212156Z
LAST-MODIFIED:20190627T212156Z
UID:10150-1461173400-1461173400@idss-stage.mit.edu
SUMMARY:Green Dream: Powering the World with Clean Energy
DESCRIPTION:As part of the Solve Talks at Google series\, this panel includes Jessika Trancik (MIT)\, Richard Lester (MIT) and Kelly Sims Gallagher (Tufts). Moderated by Kara Miller (WGBH).
URL:https://idss-stage.mit.edu/calendar/green-dream-powering-the-world-with-clean-energy-3/
LOCATION:Google Cambridge\, 355 Main Street\, 5th floor\, Cambridge\, MA\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160415T110000
DTEND;TZID=America/New_York:20160415T110000
DTSTAMP:20260407T110708
CREATED:20190627T212156Z
LAST-MODIFIED:20190627T212156Z
UID:10151-1460718000-1460718000@idss-stage.mit.edu
SUMMARY:The Energy of Data
DESCRIPTION:The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability\, statistics\, optimization\, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated around a core group composed of faculty\, postdocs and graduate students from different department and affiliated with IDSS. Every week\, this audience is supplemented by a large number—often more than doubled—of attendees from all of MIT reflecting the interdisciplinary nature of the stochastics and statistics seminar. 
URL:https://idss-stage.mit.edu/calendar/the-energy-of-data-3/
LOCATION:32-123\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
END:VCALENDAR