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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20171107T163000
DTEND;TZID=America/New_York:20171107T173000
DTSTAMP:20260406T133901
CREATED:20171010T145759Z
LAST-MODIFIED:20171207T153512Z
UID:6591-1510072200-1510075800@idss-stage.mit.edu
SUMMARY:Social Network Experiments - Nicholas Christakis (Yale University)
DESCRIPTION:  \n\n  \nAbstract \nHuman beings choose their friends\, and often their neighbors\, and co-workers\, and we inherit our relatives; and each of the people to whom we are connected also does the same\, such that\, in the end\, we humans assemble ourselves into face-to-face social networks with particular structures. Why do we do this? And how might an understanding of human social network structure and function be used to intervene in the world to make it better? Here\, I review recent research from our lab describing several classes of interventions involving both offline and online networks that can help make the world better\, including: (1) interventions that rewire the connections between people\, and (2) interventions that manipulate social contagion\, facilitating the flow of desirable properties within groups. I will illustrate what can be done using a variety of experiments in settings as diverse as fostering cooperation in networked groups online\, to fostering health behavior change in developing world villages\, to facilitating the diffusion of innovation or coordination in groups. I will also focus on our recent experiments with “heterogenous systems” involving both humans and “dumb AI” bots\, interacting in small groups. By taking account of people’s structural embeddedness in social networks\, and by understanding social influence\, it is possible to intervene in social systems to enhance desirable population-level properties as diverse as health\, wealth\, cooperation\, coordination\, and learning. \n  \nBiography \nNicholas A. Christakis\, MD\, PhD\, MPH\, is a social scientist and physician who conducts research in the area of biosocial science\, investigating the biological predicates and consequences of social phenomena. He directs the Human Nature Lab at Yale University\, where he is appointed as the Sol Goldman Family Professor of Social and Natural Science\, with appointments in the Departments of Sociology\, Medicine\, Ecology and Evolutionary Biology\, and Biomedical Engineering. He is the Co-Director of the Yale Institute for Network Science. \nPrior to moving his lab to Yale in 2013\, Dr. Christakis was Professor of Sociology and Professor of Medicine at Harvard University\, since 2001. Prior to that\, he served in the same capacities at the University of Chicago.
URL:https://idss-stage.mit.edu/calendar/idss-distinguished-series-seminar-nicholas-christalkis-yale-university/
LOCATION:MIT Building 32\, Room 141\, The Stata Center (32-141)\, 32 Vassar Street\, Cambridge\, MA\, 02139\, United States
CATEGORIES:IDSS Distinguished Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20171003T163000
DTEND;TZID=UTC:20171003T173000
DTSTAMP:20260406T133901
CREATED:20170831T225119Z
LAST-MODIFIED:20170926T131728Z
UID:6072-1507048200-1507051800@idss-stage.mit.edu
SUMMARY:IDSS Distinguished Seminar Series: Latanya Sweeney (Harvard University)
DESCRIPTION:Title: How Technology Design will Dictate Our Civic Future \nAbstract:\nTechnology designers are the new policymakers. No one elected them\, and most people do not know their names\, but the decisions they make when producing the latest gadgets and online innovations dictate the code by which we conduct our daily lives and govern our country. Challenges to the privacy and security of our personal data are part of the first wave of this change; as technology progresses\, says Latanya Sweeney\, every demographic value and every law comes up for grabs and will likely be redefined by what technology does or does not enable. How will it all fit together or fall apart? Join Sweeney\, who after serving as chief technology officer at the U.S. Federal Trade Commission\, has been helping others unearth unforeseen consequences and brainstorm on how to engineer the way forward. \nBio:\nLatanya Sweeney is a Professor at Harvard University; Faculty Dean at Harvard’s Currier House; Editor-in-Chief of Technology Science; Director and Founder of Harvard’s Data Privacy Lab; the former Chief Technology Officer at the U.S. Federal Trade Commission; and Commissioner in the U.S. Commission on Evidence-based Policy Making. Dr. Sweeney holds four patents and is credited with more than 100 academic publications. She is a recipient of the prestigious American Psychiatric Association’s Privacy Advocacy Award\, an elected fellow of the American College of Medical Informatics\, and has testified before government bodies worldwide. Dr. Sweeney became the first African American woman to earn a PhD in computer science from MIT in 2001. More information about her is available at latanyasweeney.org.
URL:https://idss-stage.mit.edu/calendar/idss-distinguished-seminar-series-latanya-sweeney-harvard-university/
LOCATION:MIT Building 32\, Room 141\, The Stata Center (32-141)\, 32 Vassar Street\, Cambridge\, MA\, 02139\, United States
CATEGORIES:IDSS Distinguished Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20170912T163000
DTEND;TZID=UTC:20170912T173000
DTSTAMP:20260406T133901
CREATED:20170831T223845Z
LAST-MODIFIED:20171006T183252Z
UID:6066-1505233800-1505237400@idss-stage.mit.edu
SUMMARY:Fast and Slow Learning from Reviews
DESCRIPTION:Speaker: Daron Acemoglu (MIT)\nMany online platforms present summaries of reviews by previous users. Even though such reviews could be useful\, previous users leaving reviews are typically a selected sample of those who have purchased the good in question\, and may consequently have a biased assessment. In this paper\, we construct a simple model of dynamic Bayesian learning and profit-maximizing behavior of online platforms to investigate whether such review systems can successfully aggregate past information and the incentives of the online platform to choose the relevant features of the review system. \nOn the consumer side\, we assume that each individual cares about the underlying quality of the good in question\, but in addition has heterogeneous ex ante and ex post preferences (meaning that she has a different strength of preference for the good in question than other users\, and her enjoyment conditional on purchase is also a random variable). After purchasing a good\, depending on how much they have enjoyed it\, users can decide to leave a positive or a negative review (or leave no review if they do not have strong preferences). New users observe a summary statistic of past reviews (such as fraction of all reviews that are positive or fraction of all users that have left positive review etc.). Our first major result shows that\, even though reviews come from a selected sample of users\, Bayesian learning ensures that as the number of potential users grows\, the assessment of the underlying state converges almost surely to the true quality of the good. More importantly\, we provide a tight characterization of the speed of learning (which is a contribution relative to most of the works in this area that focus on whether there is learning or not). \nUnder the assumption that the online platform receives a constant revenue from every user that purchases (because of commissions from sellers or from advertising revenues)\, we then show that\, in any Bayesian equilibrium\, the profits of the online platform are a function of the speed of learning of users. Using this result\, we study the design of the review system by the online platform\, and show the possibility of both fast and slow learning from reviews.\nAuthors: Daron Acemoglu\, Ali Makhdoumi\, Azarakhsh Malekian and Asu Ozdadaglar. \nBiography\nDaron Acemoglu is the Elizabeth and James Killian Professor of Economics at MIT. In 2005 he received the John Bates Clark Medal awarded to economists under forty judged to have made the most significant contribution to economic thought and knowledge. Among many other awards\, in 2017 he was given an Honorary Doctorate (Bath University)\, Great Immigrant List of the Carnegie foundations\, BBVA Frontiers of Knowledge Award in Economics and a Carnegie Fellow.
URL:https://idss-stage.mit.edu/calendar/fast-and-slow-learning-from-reviews/
LOCATION:MIT Building 32\, Room 141\, The Stata Center (32-141)\, 32 Vassar Street\, Cambridge\, MA\, 02139\, United States
CATEGORIES:IDSS Distinguished Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170425T160000
DTEND;TZID=America/New_York:20170425T160000
DTSTAMP:20260406T133901
CREATED:20190627T212126Z
LAST-MODIFIED:20190627T212126Z
UID:10090-1493136000-1493136000@idss-stage.mit.edu
SUMMARY:Recent Methodological Advances in Automated Causal Discovery
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/recent-methodological-advances-in-automated-causal-discovery-2/
LOCATION:32-141\, United States
CATEGORIES:IDSS Distinguished Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20170307T160000
DTEND;TZID=America/New_York:20170307T160000
DTSTAMP:20260406T133901
CREATED:20190627T212134Z
LAST-MODIFIED:20190627T212134Z
UID:10104-1488902400-1488902400@idss-stage.mit.edu
SUMMARY:How the Chinese Government Fabricates Social Media Posts for Strategic Distraction\, not Engaged Arguments
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/how-the-chinese-government-fabricates-social-media-posts-for-strategic-distraction-not-engaged-arguments-2/
LOCATION:32-141\, United States
CATEGORIES:IDSS Distinguished Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20161213T160000
DTEND;TZID=America/New_York:20161213T160000
DTSTAMP:20260406T133901
CREATED:20190627T212143Z
LAST-MODIFIED:20190627T212143Z
UID:10118-1481644800-1481644800@idss-stage.mit.edu
SUMMARY:The Impact of Expanding Medicaid: Evidence from the Oregon Health Insurance Experiment 
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-impact-of-expanding-medicaid-evidence-from-the-oregon-health-insurance-experiment-2/
LOCATION:32-141\, United States
CATEGORIES:IDSS Distinguished Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20161108T160000
DTEND;TZID=America/New_York:20161108T160000
DTSTAMP:20260406T133901
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:20161018T160000
DTEND;TZID=America/New_York:20161018T160000
DTSTAMP:20260406T133901
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:20161011T160000
DTEND;TZID=America/New_York:20161011T160000
DTSTAMP:20260406T133901
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:20160405T160000
DTEND;TZID=America/New_York:20160405T160000
DTSTAMP:20260406T133901
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:20160317T130000
DTEND;TZID=America/New_York:20160317T130000
DTSTAMP:20260406T133901
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:20160308T160000
DTEND;TZID=America/New_York:20160308T160000
DTSTAMP:20260406T133901
CREATED:20190627T212203Z
LAST-MODIFIED:20190627T212203Z
UID:10164-1457452800-1457452800@idss-stage.mit.edu
SUMMARY:Randomized Controlled Trials and Policy Making in Developing Countries
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/randomized-controlled-trials-and-policy-making-in-developing-countries-2/
LOCATION:32-155\, United States
CATEGORIES:IDSS Distinguished Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20151208T160000
DTEND;TZID=America/New_York:20151208T160000
DTSTAMP:20260406T133901
CREATED:20190627T212206Z
LAST-MODIFIED:20190627T212206Z
UID:10177-1449590400-1449590400@idss-stage.mit.edu
SUMMARY:Wiki Surveys: Open and Quantifiable Social Data Collection
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/wiki-surveys-open-and-quantifiable-social-data-collection-2/
LOCATION:32-141\, United States
CATEGORIES:IDSS Distinguished Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20151110T160000
DTEND;TZID=America/New_York:20151110T160000
DTSTAMP:20260406T133901
CREATED:20190627T212214Z
LAST-MODIFIED:20190627T212214Z
UID:10185-1447171200-1447171200@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-4/
LOCATION:32-141\, United States
CATEGORIES:IDSS Distinguished Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20151013T160000
DTEND;TZID=America/New_York:20151013T160000
DTSTAMP:20260406T133901
CREATED:20190627T212217Z
LAST-MODIFIED:20190627T212217Z
UID:10195-1444752000-1444752000@idss-stage.mit.edu
SUMMARY:A Big Data System for Things That Move
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/a-big-data-system-for-things-that-move/
LOCATION:32-155\, United States
CATEGORIES:IDSS Distinguished Seminar Series
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20150915T160000
DTEND;TZID=America/New_York:20150915T160000
DTSTAMP:20260406T133901
CREATED:20190627T212219Z
LAST-MODIFIED:20190627T212219Z
UID:10202-1442332800-1442332800@idss-stage.mit.edu
SUMMARY:Making Good Policies with Bad Causal Inference: The Role of Prediction and Machine Learning
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/making-good-policies-with-bad-causal-inference-the-role-of-prediction-and-machine-learning/
LOCATION:32-141\, United States
CATEGORIES:IDSS Distinguished Seminar Series
END:VEVENT
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