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DTSTART;TZID=America/New_York:20161007T110000
DTEND;TZID=America/New_York:20161007T110000
DTSTAMP:20260407T124626
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:20260407T124626
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:20260407T124626
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:20260407T124626
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:20260407T124626
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:20260407T124626
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:20260407T124626
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:20260407T124626
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:20260407T124626
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:20260407T124626
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:20260407T124626
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:20260407T124626
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:20260407T124626
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:20260407T124626
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:20260407T124626
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:20260407T124626
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:20260407T124626
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:20260407T124626
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:20260407T124626
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:20260407T124626
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
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160412T160000
DTEND;TZID=America/New_York:20160412T160000
DTSTAMP:20260407T124626
CREATED:20190627T212156Z
LAST-MODIFIED:20190627T212156Z
UID:10152-1460476800-1460476800@idss-stage.mit.edu
SUMMARY:On Estimation with Strategic Sensors
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/on-estimation-with-strategic-sensors-3/
LOCATION:32-155\, United States
CATEGORIES:LIDS Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160408T110000
DTEND;TZID=America/New_York:20160408T110000
DTSTAMP:20260407T124626
CREATED:20190627T212157Z
LAST-MODIFIED:20190627T212157Z
UID:10153-1460113200-1460113200@idss-stage.mit.edu
SUMMARY:Confidence Intervals for High-Dimensional Linear Regression: Minimax Rates and Adaptivity
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/confidence-intervals-for-high-dimensional-linear-regression-minimax-rates-and-adaptivity-2/
LOCATION:32-123\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20160408
DTEND;VALUE=DATE:20160409
DTSTAMP:20260407T124626
CREATED:20190627T212157Z
LAST-MODIFIED:20200129T194207Z
UID:10154-1460073600-1460159999@idss-stage.mit.edu
SUMMARY:IDSS Workshop on Data\, Analytics\, and Risk in Finance
DESCRIPTION:This workshop focused on opportunities for big data and predictive analytics in finance and economics\, including new approaches to modeling\, measuring\, and understanding risk. \n\nRead the summary report (pdf)\nWatch the videos\nCheck out the reading list\n\nOverview\nTechnological advancements have transformed financial markets into increasingly complex and dynamic systems. Organizations including banks\, asset management firms\, information technology firms\, and regulatory agencies are all: increasingly interconnected; managing transactions at sub-millisecond time scales; and generating\, storing\, and managing masses of data. This creates challenges and opportunities when it comes to understanding and managing risk in financial systems — for example: How can we leverage big data to develop better analytical methods for predicting bubbles and collapses in financial systems? Can we use data to map and model interconnections across financials systems toward better understanding systemic risk and how disruptions propagate? What are the opportunities for creating new financial forecasting tools and risk metrics? \nThis workshop brought together stakeholders from across industry\, government and academia to discuss these opportunities and priorities for research and innovation in this area. The workshop focused on the following: \n\npriorities for financial firms and regulators in assessing and managing risk;\nopportunities for big data and machine learning in better understanding behavior and modeling the interconnections and complex dynamics in financial systems;\nusing statistical models and algorithms to improve decision-making and design policies;\nnovel applications for emerging technologies\, including blockchain and encryption techniques;\napplying new techniques to enable data sharing while managing privacy;\nopportunities to collaborate on developing resources\, open source tools and platforms\, and new predictive analytic metrics that enable a deeper understanding of risk and new approaches to monitoring risk and improving stability in financial markets.\n\nInvited participants brought perspectives from across disciplines including finance\, economics\, statistics and data science\, and social sciences. We used this workshop to explore innovative ideas at the intersection of these fields and generate an output document that summarizes challenges and priorities for research. \nAgenda and Videos\nOpening Remarks\nIntroductory remarks: Professor Munzer Dahleh\, Director of IDSS and Elizabeth Bruce\, Executive Director\, IDSS \n \nSession 1: Financial Systems: Risk and Resiliency\nThis session focused on understanding risk and resiliency in financial systems — key challenges and new opportunities. Issues of systemic risk\, interconnections\, and interdependencies across global financial networks and what is important for the future stability of these systems. \n  \nIntroduction to Panel by Professor Asu Ozdaglar (Director\, LIDS) \n\n\n  \n“Systemic Risk” by Professor Daron Acemoglu (Department of Economics\, MIT) \n\n  \nVIDEO NOT AVAILABLE\n“Big data challenges and opportunities in financial stability monitoring” by Dr. Mark Flood (Office of Financial Research) \n  \n“Five Questions about Systemic Risk” by Professor Simon Johnson (Sloan\, MIT) \n\n  \n“Why did we get it wrong? Subprime was small” by Dr. Paul Willen (Federal Reserve Bank of Boston) \n\n  \nFirst Moderated Discussion \n\n  \nDr. Amitabh Arora\, Head of Systemic Risk Group (Citibank)\nVIDEO  NOT AVAILABLE\n\n  \n“Analyzing Systemic Risk” by Dr. Stephen Malinak (Thomson Reuters) \n\n\n  \n“Risk Management for Asset Managers” by Mr. Paul Wojcik (T. Rowe Price) \n\n\n  \nSecond Moderated Discussion \n\n \nSession 2 \n\n\nDr. Darryll Hendricks\, Chief Operating Officer\, UBS Investment Bank\nVIDEO NOT AVAILABLE \n  \nDr. Ronald Kahn\, Global Head of Scientific Equity Research\, BlackRockProfessor\nVIDEO NOT AVAILABLE\n  \nProfessor Silvio Micali\, Electrical Engineering & Computer Science Department\, MIT\nVIDEO NOT AVAILABLE\n  \nJames Darby Nielson\, Managing Director of Quantitative Research\, Fidelity\nVIDEO NOT AVAILABLE\n\n\n\n\n  \nProfessor Sandy Pentland\, Director\, Connection Science & Human Dynamics labs\, MIT \n\n\n\n  \nThird Moderated Discussion \n\n\n  \nSession 3\nIntroduction to Panel Discussion by Professor John Guttag\, MIT CSAIL \n\n\n  \n\n“A Journey to Transform Insurance Industry Using Data Science”\nby Dr. Sid Dalal (AIG)\nVIDEO NOT AVAILABLE\n\n\n  \n“Trading Bitcoins” Professor Devavrat Shah (LIDS\, MIT) \n\n\n  \n“Enterprise Platforms” Peter Ferns (Goldman Sachs) \n\n\n  \nDr. Jake Xia\, Chief Risk Officer\, Harvard Management Company \n\n\n  \nClosing Remarks by Professor Munther Dahleh (IDSS\, MIT) \n\n\nReading List\nIn preparing for the “Data\, Analytics\, and Risk in Finance” workshop\, we compiled a sampling of papers and articles that provide opinions and perspectives on research\, trends and innovation in this area — including articles published by some of our invited speakers. \n\n“A new approach to financial regulation“\, Simon Levin and Andrew Lo\, PCAS (2015)\n“Survey of Systemic Risk Analytics”\, Andrew W. Lo and Mark D. Flood\n“Big data challenges and opportunities in financial stability monitoring” Flood\, Jagadish\, and Raschid\n“The Application of Visual Analytics to Financial Stability Monitoring” OFR Working Paper 2014-02c\, Mark D. Flood\, Victoria L. Lemieux\, Margaret Varga\, and B.L. William Wong\n“Contract as Automaton: The Computational Representation of Financial Agreements”\, OFR Working Paper 2015-04\, Mark D. Flood and Oliver R. Goodenough\n“The Network Origins of Large Economic Downturns”\, Daron Acemoglu\, Asuman Ozdaglar\, and Alireza Tahbaz-Salehi\n“Bayesian Regression and Bitcoin”\, Devavrat Shah and Kang Zhang\n“MIT’s Bitcoin-inspired ‘Enigma’ Lets Computers Mine Encrypted Data”\, Wired Magazine\, Sandy Pentland’s group.\n“Systemic risk in banking ecosystems”\, Andrew G. Haldane & Robert M. May\, Nature (2011)\n“Systemic Risk and Stability in Financial Networks” American Economic Review\, vol. 105\, no. 2\, pp. 564-608\, 2015. Daron Acemoglu\, Asuman Ozdaglar\, Alireza Tahbaz-Salehi\,\n“Andrew Lo on Volatility\, Trend Following\, and Why Traditional Financial Advice Is Incomplete”\, Journal of Financial Planning\, March 2016\n“Money Walks: Implicit Mobility Behavior and Financial Well-Being” Vivek Kumar Singh\, Burcin Bozkaya\, Alex Pentland\n“Rethinking the Financial Network” speech given by Andrew G Haldane\, Executive Director\, Financial Stability\, Bank of England at the Financial Student Association\, Amsterdam 28 April 2009
URL:https://idss-stage.mit.edu/calendar/idss-finance-workshop-2/
LOCATION:MIT Media Lab (E14-648)\, United States
CATEGORIES:Conferences and Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160405T160000
DTEND;TZID=America/New_York:20160405T160000
DTSTAMP:20260407T124626
CREATED:20190627T212157Z
LAST-MODIFIED:20190627T212157Z
UID:10155-1459872000-1459872000@idss-stage.mit.edu
SUMMARY:Distributed Learning Dynamics Convergence in Routing Games
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/distributed-learning-dynamics-convergence-in-routing-games-2/
LOCATION:32-155\, United States
CATEGORIES:IDSS Distinguished Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160401T110000
DTEND;TZID=America/New_York:20160401T110000
DTSTAMP:20260407T124626
CREATED:20190627T212157Z
LAST-MODIFIED:20190627T212157Z
UID:10156-1459508400-1459508400@idss-stage.mit.edu
SUMMARY:Sub-Gaussian Mean Estimators
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/sub-gaussian-mean-estimators-2/
LOCATION:32-123\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160329T160000
DTEND;TZID=America/New_York:20160329T160000
DTSTAMP:20260407T124627
CREATED:20190627T212157Z
LAST-MODIFIED:20190627T212157Z
UID:10157-1459267200-1459267200@idss-stage.mit.edu
SUMMARY:Random Walks that Find Perfect Objects and the Lovasz Local Lemma
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/random-walks-that-find-perfect-objects-and-the-lovasz-local-lemma-2/
LOCATION:32-155\, United States
CATEGORIES:LIDS Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160322T160000
DTEND;TZID=America/New_York:20160322T160000
DTSTAMP:20260407T124627
CREATED:20190627T212158Z
LAST-MODIFIED:20190627T212158Z
UID:10158-1458662400-1458662400@idss-stage.mit.edu
SUMMARY:Generalized Independent Component Analysis over Finite Alphabets
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/generalized-independent-component-analysis-over-finite-alphabets-3/
LOCATION:32-155\, United States
CATEGORIES:LIDS Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160318T110000
DTEND;TZID=America/New_York:20160318T110000
DTSTAMP:20260407T124627
CREATED:20190627T212159Z
LAST-MODIFIED:20190627T212159Z
UID:10159-1458298800-1458298800@idss-stage.mit.edu
SUMMARY:Pairwise Comparison Models for High-Dimensional Ranking
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/pairwise-comparison-models-for-high-dimensional-ranking-3/
LOCATION:32-123\, United States
CATEGORIES:Stochastics and Statistics Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160317T130000
DTEND;TZID=America/New_York:20160317T130000
DTSTAMP:20260407T124627
CREATED:20190627T212159Z
LAST-MODIFIED:20190627T212159Z
UID:10160-1458219600-1458219600@idss-stage.mit.edu
SUMMARY:Universal Laws and Architectures: Theory and Lessons from Brains\, Nets\, Hearts\, Bugs\, Grids\, Flows\, and Zombies
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/universal-laws-and-architectures-theory-and-lessons-from-brains-nets-hearts-bugs-grids-flows-and-zombies-3/
LOCATION:32-144\, United States
CATEGORIES:IDSS Distinguished Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160316T160000
DTEND;TZID=America/New_York:20160316T160000
DTSTAMP:20260407T124627
CREATED:20190627T212159Z
LAST-MODIFIED:20190627T212159Z
UID:10161-1458144000-1458144000@idss-stage.mit.edu
SUMMARY:The Central Role of Physical Modeling in Systems Design
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/the-central-role-of-physical-modeling-in-systems-design-3/
LOCATION:32-155\, United States
CATEGORIES:LIDS Seminar Series
END:VEVENT
END:VCALENDAR