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. Â
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. Â
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. Â
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. Â
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. Â
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. Â
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. Â
Speaker: Daron Acemoglu (MIT) Many 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…
How Technology Design will Dictate Our Civic Future
The Institute of Data, Systems, and Society host monthly talks by academic and industry leaders from around the world for the IDSS Distinguished Lecture series.