Date: 31 May - 1 June, 2019
Connect@IPSDS is a two-day event dedicated to facilitating networking and information exchange in the area of survey and data science across various sectors (academia, industry, government, and non-profits)
Connect@IPSDS is of interest to:
Students/young professionals - join us to learn about the latest survey and data science applications
Organizations/companies looking for experts in survey and data science - represent your organization/company during our event
Researchers and practitioners - network with a diverse community of data experts and join the discussion about survey and data science applications across a broad set of domains
Frauke Kreuter is director of the International Program in Survey and Data Science, head of the Statistical Methods group at the Institute for Employment Research, and Professor at the University of Mannheim. She also holds Professorship at the Joint Program in Survey Methodology (University of Maryland). Prior to her appointment at the University of Mannheim she held Professorship at the Institute for Statistics at the Ludwig-Maximilians-Universität in Munich, Germany. She received her PhD from the University of Konstanz in 2001. From 2001-2004 Frauke Kreuter was part of UCLA Statistics Department. Her research focuses on sampling and measurement errors in complex surveys, and the use of paradata to improve survey processes and survey estimates. Since joining the Institute for Employment Research her research expanded to investigating the joint use of survey and administrative data, as well as other newly emerging data sources.
Roberto Rigobon is the Society of Sloan Fellows Professor of Management and a Professor of Applied Economics at the MIT Sloan School of Management. He is one of the two founding members of the Billion Prices Project, and a co-founder of PriceStats. He is also a research associate of the National Bureau of Economic Research, a member of the Census Bureau’s Scientific Advisory Committee, and a visiting professor at IESA. Roberto joined MIT in 1997 and has won both the "Teacher of the Year" award and the "Excellence in Teaching" award three times. He received his PhD in economics from MIT in 1997, an MBA from IESA in 1991, and his BS in Electrical Engineer from Universidad Simon Bolivar in 1984. Roberto’s areas of research are international economics, monetary economics, and development economics. He focuses on the causes of balance-of-payments crises, financial crises, and the propagation of them across countries.
Mine Çetinkaya-Rundel is director of Undergraduate Studies and an Associate Professor of the Practice in the Department of Statistical Science at Duke University and Senior Lecturer at the University of Edinburgh. She is also Data Scientist & Professional Educator at RStudio. She received her Ph.D. in Statistics from the University of California, Los Angeles, and a B.S. in Actuarial Science from New York University’s Stern School of Business. She is best known for her work on the OpenIntro Statistics open source textbooks, which are used by universities across the globe, including Harvard and Princeton. Some of her recent work focuses on developing student-centered learning tools for introductory statistics courses, teaching computation at the introductory statistics level with an emphasis on reproducibility, and exploring the gender gap in self-efficacy in STEM fields. Her research interests also include spatial modeling of survey, public health, and environmental data.
Hilary Parker is a Data Scientist on the styling recommendations team at Stitch Fix, a personal styling service that uses a combination of human stylists and algorithmic recommendations to help people find what they love. At Stitch Fix, she focuses on what sorts of data to collect from clients in order to optimize clothing recommendations, as well as building out prototypes of algorithms or entirely new products based on new data sources. She is also a co-founder of the Not So Standard Deviations podcast, a bi-weekly data science podcast with Roger Peng that has over half a million downloads. Their topics of discussion include the R ecosystem, recent developments in the data science and statistics field, reproducibility and the "how" of how data scientists and statisticians work. Prior to her career in the tech field, Hilary received her PhD in Biostatistics from Johns Hopkins School of Public Health.
Friday 31 May, 2019 (9 AM - 6 PM) - Exclusive to IPSDS students
Saturday 1 June, 2019 (9 AM - 6 PM) - Open to public and IPSDS students
IPSDS WORKSHOP
9:00 Registration for IPSDS Workshop
9:30 Presentation of the IPSDS program & Open Courses by Frauke Kreuter (Director of the International Program in Survey and Data Science at the University of Mannheim, head of the Statistical Methods group at the Institute for Employment Research, and Professor at the University of Maryland)
10:15 Break. Coffee provided
10:30 Workshop “Big Pittfals of Big Data” by Roberto Rigobon (Professor of Applied Economics at the MIT Sloan School of Management, research associate of the National Bureau of Economic Research, member of the Census Bureau’s Scientific Advisory Committee)
12:30 Lunch (individual)
IPSDS TALKS
13:30 Registration for IPSDS Talks
14:00 IPSDS Talks opening by Frauke Kreuter (Director of the International Program in Survey and Data Science at the University of Mannheim, head of the Statistical Methods group at the Institute for Employment Research, and Professor at the University of Maryland)
14:20 Mine Cetinkaya-Rundel (Senior Lecturer, University of Edinburgh, Associate Professor at Duke University, Data Scientist and Professional Educator at RStudio): “The results in Table 1 don’t seem to correspond to those in Figure 2”
15:20 Break. Coffee provided
15:40 Roberto Rigobon (Professor of Applied Economics at the MIT Sloan School of Management, research associate of the National Bureau of Economic Research, member of the Census Bureau’s Scientific Advisory Committee): “MMM: Modern Measurement Methods”
16:40 Hilary Parker (Data Scientist at Stitch Fix, Co-founder of the Not So Standard Deviations podcast): "Using Data Effectively: Beyond Art and Science"
17:45 Group photo time!
Organised by: