Happening @ Michigan https://events.umich.edu/list/rss RSS Feed for Happening @ Michigan Events at the University of Michigan. WISE Sundaes on Tuesday (September 11, 2018 6:30pm) https://events.umich.edu/event/54279 54279-13563515@events.umich.edu Event Begins: Tuesday, September 11, 2018 6:30pm
Location: Chemistry Dow Lab
Organized By: Women in Science and Engineering (WISE) Program

Welcome to the University of Michigan from the UM Women in Science and Engineering (WISE) Program!

Please join WISE for ice-cream sundaes and the inside scoop on how seasoned UM students in sciences, engineering, mathematics, and related concentrations survived their freshman year and beyond!

Find out from our panel of seasoned undergraduate women in science and engineering how they managed it all! Learn about resource centers on campus that are used by science, math, and engineering students. Bring your questions.

This is targeted to incoming first year and transfer students but is open to any interested student!

Please register for this event using this link:
http://ttc.iss.lsa.umich.edu/undergrad/sessions/sundaes-on-tuesday-welcome-for-um-women-interested-in-science-and-engineering-2/

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Workshop / Seminar Mon, 27 Aug 2018 10:49:47 -0400 2018-09-11T18:30:00-04:00 2018-09-11T20:00:00-04:00 Chemistry Dow Lab Women in Science and Engineering (WISE) Program Workshop / Seminar Chemistry Dow Lab
"Solving Easy Sudoku Puzzles" (September 17, 2018 10:00am) https://events.umich.edu/event/53311 53311-13340962@events.umich.edu Event Begins: Monday, September 17, 2018 10:00am
Location: Off Campus Location
Organized By: Osher Lifelong Learning Institute (50+)

If you like puzzles and want to learn the basics of solving Sudoku, this is a good place to start. We will cover several basic patterns that should enable you to solve easy puzzles and most medium-level puzzles.
Instructor Jerry Janusz is a retired mathematician who loves working Sudoku puzzles.
This Study Group for those 50 and over will meet Mondays September 17 - October 1 at 10:00 - 11:30 a.m.

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Class / Instruction Sun, 05 Aug 2018 13:30:54 -0400 2018-09-17T10:00:00-04:00 2018-09-17T23:30:00-04:00 Off Campus Location Osher Lifelong Learning Institute (50+) Class / Instruction OLLI Study Group
Raytheon Corporate Information Session (September 18, 2018 6:00pm) https://events.umich.edu/event/54648 54648-13627526@events.umich.edu Event Begins: Tuesday, September 18, 2018 6:00pm
Location: Cooley Building
Organized By: Society of Women Engineers

Description:Positions: Full-time, Intern
Majors: Aerospace Engineering, Computer Engineering, Computer Science, Data Science, Electrical Engineering, Materials Science and Engineering, Mechanical Engineering, Math/Physics
Degrees: Undergraduate, Masters
Citizenship: US Citizenship
Resumes: Yes

Technology and innovation leader specializing in defense, civil government and cyber security solutions

*Food will be provided!
Contact: Society of Women Engineers (swe.cis-ind.publicity@umich.edu)

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Careers / Jobs Mon, 03 Sep 2018 12:30:23 -0400 2018-09-18T18:00:00-04:00 2018-09-18T19:30:00-04:00 Cooley Building Society of Women Engineers Careers / Jobs Cooley Building
The Enigmatic KIME: Time Complexity in Data Science (September 21, 2018 4:00pm) https://events.umich.edu/event/54407 54407-13581110@events.umich.edu Event Begins: Friday, September 21, 2018 4:00pm
Location: West Hall
Organized By: Michigan Institute for Data Science

Abstract: We will provide a constructive definition of “Big Biomedical/Health Data” and provide examples of the challenges, algorithms, processes, and tools necessary to manage, aggregate, harmonize, process, and interpret such data. In data science, time complexity frequently manifests as sampling incongruency, heterogeneous scales, and intricate dependencies. We will present the concept of 2D complex-time (kime) and illustrate how the kime-order (time) and kime-direction (phase) affect advanced predictive analytics and scientific inference based on Big Biomedical Data. Kime-representation solves the unidirectional arrows of time problems, e.g., psychological arrow of time reflects the irrevocable past to future flow and thermodynamic arrow of time reflecting the relentless growth of entropy. Albeit kime-phase angles may not always be directly observable, we will illustrate how they can be estimated and used to improve the resulting space-kime modeling, trend forecasting, and predictive data analytics. Simulated data, clinical observations (e.g., neurodegenerative disorders), and multisource census-like datasets (e.g., UK Biobank) will be used to demonstrate time-complexity and inferential-uncertainty.

Bio: Ivo D. Dinov is a professor of Health Behavior and Biological Sciences and Computational Medicine and Bioinformatics at the University of Michigan. He directs the Statistics Online Computational Resource, the Integrative Biostatistics and Informatics Core of the Michigan Nutrition and Obesity Research Center, and the Udall Parkinson’s Disease Biostatistics and Data Management Core. He co-directs the Center for Complexity and Self-management of Chronic Disease (CSCD Center) and the multi-institutional Probability Distributome Project. Dr. Dinov is an Associate Director for Education and Training of the Michigan Institute for Data Science (MIDAS). He is a member of the American Statistical Association (ASA), the International Association for Statistical Education (IASE), the American Medical Informatics Association (AMIA), and the American Association for the Advancement of Science (AAAS), as well as an Elected Member of the Institutional Statistical Institute (ISI).

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Workshop / Seminar Thu, 06 Sep 2018 09:51:17 -0400 2018-09-21T16:00:00-04:00 2018-09-21T17:00:00-04:00 West Hall Michigan Institute for Data Science Workshop / Seminar Ivo D. Dinov, Phd
The Ross Effect (September 27, 2018 4:00pm) https://events.umich.edu/event/55018 55018-13665226@events.umich.edu Event Begins: Thursday, September 27, 2018 4:00pm
Location: Ross School of Business
Organized By: Ross One Year Graduate Programs

Employers look for the skills you’re developing in your undergraduate degree, like the ability to understand complex concepts and deliver creative solutions. But, connecting with companies and highlighting these skills is not always easy. Join us at "The Ross Effect" to learn how three outstanding Ross graduate programs, the Master of Accounting, the Master of Management and the Master of Supply Chain Management, will leverage your undergraduate training for a smooth and successful transition into the workforce.

This event is being held exclusively for non-Ross University of Michigan (Ann Arbor) students. The event is being held on the 5th floor of the Blau/Kresge side of the Ross Building, in the Blau Colloquium.

Questions? Email TheRossEffect@umich.edu

Register at:
https://www.eventbrite.com/e/the-ross-effect-how-a-ross-graduate-degree-amplifies-your-toolkit-registration-48421327494

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Presentation Fri, 07 Sep 2018 18:53:32 -0400 2018-09-27T16:00:00-04:00 2018-09-27T17:30:00-04:00 Ross School of Business Ross One Year Graduate Programs Presentation Michigan Ross Logo
Statistical Models for Analyzing Dynamic Social Network Data (September 28, 2018 4:00pm) https://events.umich.edu/event/54423 54423-13583297@events.umich.edu Event Begins: Friday, September 28, 2018 4:00pm
Location: West Hall
Organized By: Michigan Institute for Data Science

Abstract: Due in part to the ubiquity of online social networks these days, interest in analyzing social network data has spread beyond its traditional home in the social sciences to many other disciplines including physics, computer science, statistics, and engineering. A topic of significant importance in social network analysis is the creation of statistical models for social network data. Many social network data involve relations between people observed at multiple points in time and are thus dynamic network data. In this talk, I introduce several statistical models for analyzing two types of dynamic network data. Discrete-time network data, also known as network panel data, represent the structure of the social network at regular time intervals, e.g. over each week or each month.Continuous-time network data, also known as timestamped network or relational event data, are collected with finer granularity on the time and at irregular time intervals. I demonstrate how these models can be used to infer network structures and how they evolve over time on several dynamic social network data sets, including a network of physical proximities between people at a university and a network of wall posts between users on Facebook.

Bio: Kevin S. Xu received the B.A.Sc. degree in Electrical Engineering from the University of Waterloo in 2007 and the M.S.E. and Ph.D. degrees in Electrical Engineering: Systems from the University of Michigan in 2009 and 2012, respectively. He was a recipient of the Natural Sciences and Engineering Research Council of Canada (NSERC) Postgraduate Master’s and Doctorate Scholarships. He is currently an assistant professor in the EECS Department at the University of Toledo and has previously held industry research positions at Technicolor and 3M. His main research interests are in machine learning and statistical signal processing with applications to network science and human dynamics.

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Workshop / Seminar Thu, 06 Sep 2018 09:52:23 -0400 2018-09-28T16:00:00-04:00 2018-09-28T17:00:00-04:00 West Hall Michigan Institute for Data Science Workshop / Seminar Kevin Xu
Donuts & Cider in the Duderstadt Connector (October 1, 2018 11:00am) https://events.umich.edu/event/56050 56050-13823410@events.umich.edu Event Begins: Monday, October 1, 2018 11:00am
Location: Chrysler Center
Organized By: Multidisciplinary Design Program

Stop by the Duderstadt Connector for Apple Cider & Washtenaw Dairy Donuts between 10 am and 2pm on Monday, October 1st.

Pick up a 2019 MDP Program Booklet, get tips for how to apply, and prepare for one of the major MDP recruitment events on 10/2 or 10/3.

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Exhibition Wed, 26 Sep 2018 13:10:22 -0400 2018-10-01T11:00:00-04:00 2018-10-01T14:00:00-04:00 Chrysler Center Multidisciplinary Design Program Exhibition Cider and Donuts
Van Eenam Lectures (October 2, 2018 5:10pm) https://events.umich.edu/event/55377 55377-13722940@events.umich.edu Event Begins: Tuesday, October 2, 2018 5:10pm
Location: East Hall
Organized By: Department of Mathematics

October 2 - The Amazing Power of Dimensional Analysis in Finance: Market Impact and the Intraday Trading Invariance Hypothesis NEW TIME: 5:10 p.m.
October 3 - Cover's Universal Portfolio, Stochastic Portfolio Theory and the Numeraire Portfolio
October 4 - A Trajectorial Intrepretation of Doob's Martingale Inequalities

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Lecture / Discussion Tue, 02 Oct 2018 11:44:32 -0400 2018-10-02T17:10:00-04:00 2018-10-02T18:00:00-04:00 East Hall Department of Mathematics Lecture / Discussion Van Eenam poster
CGIS Study Abroad Fair (October 3, 2018 12:00pm) https://events.umich.edu/event/44037 44037-9877694@events.umich.edu Event Begins: Wednesday, October 3, 2018 12:00pm
Location: Michigan League
Organized By: Center for Global and Intercultural Study

Advisors, CGIS Alumni, and program representatives from around campus and the world will answer your questions about UM study abroad opportunities. Learn about UM faculty-led programs and meet with staff from the Office of Financial Aid and the LSA Scholarship Office. Enjoy performances from global student orgs, maize-n-blue giveaways, and free candy from around the world!

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Fair / Festival Sun, 02 Sep 2018 11:01:54 -0400 2018-10-03T12:00:00-04:00 2018-10-03T16:00:00-04:00 Michigan League Center for Global and Intercultural Study Fair / Festival Study Abroad!
Van Eenam Lectures (October 3, 2018 4:00pm) https://events.umich.edu/event/55377 55377-13722941@events.umich.edu Event Begins: Wednesday, October 3, 2018 4:00pm
Location: East Hall
Organized By: Department of Mathematics

October 2 - The Amazing Power of Dimensional Analysis in Finance: Market Impact and the Intraday Trading Invariance Hypothesis NEW TIME: 5:10 p.m.
October 3 - Cover's Universal Portfolio, Stochastic Portfolio Theory and the Numeraire Portfolio
October 4 - A Trajectorial Intrepretation of Doob's Martingale Inequalities

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Lecture / Discussion Tue, 02 Oct 2018 11:44:32 -0400 2018-10-03T16:00:00-04:00 2018-10-03T17:00:00-04:00 East Hall Department of Mathematics Lecture / Discussion Van Eenam poster
Van Eenam Lectures (October 4, 2018 4:00pm) https://events.umich.edu/event/55377 55377-13722942@events.umich.edu Event Begins: Thursday, October 4, 2018 4:00pm
Location: East Hall
Organized By: Department of Mathematics

October 2 - The Amazing Power of Dimensional Analysis in Finance: Market Impact and the Intraday Trading Invariance Hypothesis NEW TIME: 5:10 p.m.
October 3 - Cover's Universal Portfolio, Stochastic Portfolio Theory and the Numeraire Portfolio
October 4 - A Trajectorial Intrepretation of Doob's Martingale Inequalities

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Lecture / Discussion Tue, 02 Oct 2018 11:44:32 -0400 2018-10-04T16:00:00-04:00 2018-10-04T17:00:00-04:00 East Hall Department of Mathematics Lecture / Discussion Van Eenam poster
Pavel Bochev: Compatible Mesh-Free Methods (October 5, 2018 3:00pm) https://events.umich.edu/event/55826 55826-13779926@events.umich.edu Event Begins: Friday, October 5, 2018 3:00pm
Location: East Hall
Organized By: Michigan Institute for Computational Discovery and Engineering

Particle and mesh-free methods offer significant computational advantages in settings where quality mesh generation required for many compatible PDE discretizations may be expensive or even intractable. At the same time, the lack of underlying geometric grid structure makes it more difficult to construct mesh-free methods mirroring the discrete vector calculus properties of mesh-based compatible and mimetic discretization methods. In this talk we survey ongoing efforts at Sandia National Laboratories to develop new classes of locally and globally compatible meshfree methods that attempt to recover some of the key properties of mimetic discretization methods.

We will present two examples of recently developed “mimetic”-like meshfree methods. The first one is motivated by classical staggered discretization methods. We use the local connectivity graph of a discretization particle to define locally compatible discrete operators. In particular, the edge-to-vertex connectivity matrix of the local graph provides a topological gradient, whereas a generalized moving least-squares (GMLS) reconstruction from the edge midpoints defines a divergence operator. The second method can be viewed as a meshfree analogue of a finite volume type scheme. In this method, the metric information that would be normally provided by the mesh, such as cell volumes and face areas, is reconstructed algebraically, without a mesh. This reconstruction process effectively creates virtual cells having virtual faces and ensures a local conservation property matching that of mesh-based finite volumes. In contrast to similar recent efforts our approach does not involve a solution of a global optimization problem to find the virtual cell volumes and faces areas. Instead, we determine the necessary metric information by solving a graph Laplacian problem that can be effectively preconditioned by algebraic multigrid.

Several numerical examples will illustrate the mimetic properties of the new meshfree schemes. The talk will also review some of the ongoing work to build a modern software toolkit for mesh-free and particle discretizations that leverages Sandia’s Trillinos library and performance tools such as Kokkos.

Pavel Bochev is a Distinguished Member of the Technical Staff at Sandia National Laboratories in Albuquerque where he works in the Center for Computing Research. He joined Sandia in 2000 after six years of teaching and research at the University of Texas at Arlington.

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Workshop / Seminar Sun, 30 Sep 2018 15:08:29 -0400 2018-10-05T15:00:00-04:00 2018-10-05T16:00:00-04:00 East Hall Michigan Institute for Computational Discovery and Engineering Workshop / Seminar East Hall
New Methods for Detecting Natural Selection in Large Samples of Genetic Data (October 5, 2018 4:00pm) https://events.umich.edu/event/56321 56321-13878530@events.umich.edu Event Begins: Friday, October 5, 2018 4:00pm
Location: West Hall
Organized By: Michigan Institute for Data Science

Abstract: Understanding how humans evolved and adapted to their environment is one of the most important and interesting questions in science. The recent emergence of large, publicly available genetic data sets places the answers to these questions closer within reach than ever before. New statistical methods are needed to take full advantage of these resources.

In this talk Dr. Terhorst will discuss some recent progress towards detecting signals of recent natural selection in genetic data from tens of thousands of individuals. On the computational side, he will describe new memory- and compute-efficient inference algorithms that allow us to analyze thousands of genomes in parallel using GPUs. On the theoretical side, he will describe a new test for neutrality based on combinatorial properties of Kingman’s coalescent. The test turns out to have interesting connections to a classic problem in theoretical statistics which has been studied by LeCam, Moran, Hall, and other luminaries. Some of this work is joint with Dan Erdmann-Pham, Kamm, Pier Palamara, Alkes Price and Yun Song.

Bio: Jonathan Terhorst joined the University of Michigan in the fall of 2017 as an assistant professor in the statistics department. Before that, he was a PhD student in statistics at UC Berkeley under the supervision of Prof. Yun Song. He is broadly interested in applications of statistics and machine learning to problems in biology, with a particular emphasis on statistical and population genetics.

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Workshop / Seminar Tue, 02 Oct 2018 15:06:12 -0400 2018-10-05T16:00:00-04:00 2018-10-05T17:00:00-04:00 West Hall Michigan Institute for Data Science Workshop / Seminar Jonathan Terhorst, PhD
2018 MIDAS Annual Symposium (October 8, 2018 8:00am) https://events.umich.edu/event/45230 45230-11710204@events.umich.edu Event Begins: Monday, October 8, 2018 8:00am
Location: Rackham Graduate School (Horace H.)
Organized By: Michigan Institute for Data Science

Featured speakers:

“Big Data in Manufacturing Systems with Internet-of-Things Connectivity”
Dawn Tilbury, Professor, Mechanical Engineering and Electrical Engineering and Computer Science, University of Michigan.

“Big (Network) Data: Challenges and Opportunities for Data Science”
Patrick Wolfe, Frederick L. Hovde Dean of Science, Purdue University.

“The Data Science Expert in the Room”
Katherine Ensor, Director, Center for Computational Finance and Economic Systems (CoFES), Rice University.

“The Elements of Translational Data Science”
Raghu Machiraju, Interim Director, Translational Data Analytics Institute, The Ohio State University

The symposium will also include:

Research talks from U-M investigators
A poster session and student poster competition
Industry perspectives on data science and social good.

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Conference / Symposium Mon, 01 Oct 2018 16:01:31 -0400 2018-10-08T08:00:00-04:00 2018-10-08T19:00:00-04:00 Rackham Graduate School (Horace H.) Michigan Institute for Data Science Conference / Symposium Rackham Graduate School (Horace H.)
2018 MIDAS Annual Symposium (October 9, 2018 8:00am) https://events.umich.edu/event/45230 45230-11710205@events.umich.edu Event Begins: Tuesday, October 9, 2018 8:00am
Location: Rackham Graduate School (Horace H.)
Organized By: Michigan Institute for Data Science

Featured speakers:

“Big Data in Manufacturing Systems with Internet-of-Things Connectivity”
Dawn Tilbury, Professor, Mechanical Engineering and Electrical Engineering and Computer Science, University of Michigan.

“Big (Network) Data: Challenges and Opportunities for Data Science”
Patrick Wolfe, Frederick L. Hovde Dean of Science, Purdue University.

“The Data Science Expert in the Room”
Katherine Ensor, Director, Center for Computational Finance and Economic Systems (CoFES), Rice University.

“The Elements of Translational Data Science”
Raghu Machiraju, Interim Director, Translational Data Analytics Institute, The Ohio State University

The symposium will also include:

Research talks from U-M investigators
A poster session and student poster competition
Industry perspectives on data science and social good.

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Conference / Symposium Mon, 01 Oct 2018 16:01:31 -0400 2018-10-09T08:00:00-04:00 2018-10-09T17:00:00-04:00 Rackham Graduate School (Horace H.) Michigan Institute for Data Science Conference / Symposium Rackham Graduate School (Horace H.)
STEM Info Session (October 11, 2018 4:00pm) https://events.umich.edu/event/56404 56404-13896800@events.umich.edu Event Begins: Thursday, October 11, 2018 4:00pm
Location: Modern Languages Building
Organized By: Center for Global and Intercultural Study

Interested in science, technology, engineering, and math?

Join Senior Intercultural Program Advisor Sarah Pauling and Intercultural Program Advisor, Cristina Zamarron for an information session for current students interested in the following study abroad programs:

AFRICA & THE MIDDLE EAST
• Wildlife Management Studies in Tanzania

THE AMERICAS
•Environment and Sustainable Development in San Jose, Costa Rica

ASIA-PACIFIC
•EcoQuest Field Studies in Whakatiwai, New Zealand
•Frontiers Abroad- Geology, and Earth Systems Science

EUROPE
•Budapest Semester in Mathematics
•DIS Stockholm/Copenhagen
•STEM Summer Research Program
•University Study in the UK— London School of Economics (Summer)

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Meeting Thu, 04 Oct 2018 14:50:57 -0400 2018-10-11T16:00:00-04:00 2018-10-11T17:00:00-04:00 Modern Languages Building Center for Global and Intercultural Study Meeting PHOTO
Determine the Number of States in Hidden Markov Models VIA Marginal Likelihood (October 12, 2018 3:00pm) https://events.umich.edu/event/56322 56322-13878531@events.umich.edu Event Begins: Friday, October 12, 2018 3:00pm
Location: West Hall
Organized By: Michigan Institute for Data Science

Abstract: Hidden Markov models (HMM) have been widely adopted by scientists from various fields to model stochastic systems: the underlying process is a discrete Markov chain and the observations are noisy realizations of the underlying process. Determining the number of hidden states for an HMM is a model selection problem, which has yet to be satisfactorily solved, especially for the popular Gaussian HMM with heterogeneous covariance. In this paper, we propose a consistent method for determining the number of hidden states of HMM based on the marginal likelihood. We give a rigorous proof of the consistency of the proposed marginal likelihood method and provide simulation studies to compare the proposed method with the currently mostly adopted method, the Bayesian information criterion (BIC), demonstrating the effectiveness of the proposed marginal likelihood method. The proposed method is applied to single-molecule data and yields interesting scientific insights.

Bio: Yang Chen received her Ph.D. (2017) in Statistics from Harvard University and joined the University of Michigan as an Assistant Professor of Statistics and Research Assistant Professor at the Michigan Institute of Data Science (MIDAS). She received her B.A. in Mathematics and Applied Mathematics from the University of Science and Technology of China. Research interests include computational algorithms in statistical inference and applied statistics in the field of biology and astronomy.

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Workshop / Seminar Tue, 02 Oct 2018 15:11:57 -0400 2018-10-12T15:00:00-04:00 2018-10-12T16:00:00-04:00 West Hall Michigan Institute for Data Science Workshop / Seminar Yang Chen, PhD
Beyond numerical integration: studying nonlinear dynamics with polynomial optimization (October 23, 2018 11:30am) https://events.umich.edu/event/56379 56379-13894480@events.umich.edu Event Begins: Tuesday, October 23, 2018 11:30am
Location: Weiser Hall
Organized By: The Center for the Study of Complex Systems

Systems characterized by complex nonlinear dynamics lie at the heart of 21st century technology. Examples are turbulent flows in the transport and aviation industries, smart energy networks, and models of cell dynamics used in synthetic biology. Quantitative analysis of such systems using direct numerical simulations sometimes requires prohibitively large computational resources even when one is interested only in some average properties, such as mean power consumption, because all time and length scales across which the system evolves must be resolved. In addition, while numerical simulations offer detailed information starting from a specific initial state, they cannot provide safety-critical performance or stability guarantees that hold for all possible initial states. In this talk, I will describe an alternative approach to studying nonlinear systems with polynomial dynamics, which combines ideas from Lyapunov's stability theory with recent numerical tools for polynomial optimization. In particular, I will present a range of examples that demonstrate how this optimization-based method enables the efficient algorithmic construction of stability certificates and the computation of rigorous bounds on performance-related system properties. Other applications, including optimal control and disturbance amplification analysis, will be discussed along with open problems and future research directions.

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Workshop / Seminar Thu, 04 Oct 2018 09:23:28 -0400 2018-10-23T11:30:00-04:00 2018-10-23T13:00:00-04:00 Weiser Hall The Center for the Study of Complex Systems Workshop / Seminar Fantuzzi photo
2020 Census: Citizenship, Science, Politics, and Privacy (October 31, 2018 8:30am) https://events.umich.edu/event/56065 56065-13823433@events.umich.edu Event Begins: Wednesday, October 31, 2018 8:30am
Location: Institute For Social Research
Organized By: Institute for Social Research

Preparations for the 2020 Census are underway, amidst conversations, controversy, and lawsuits over the possible addition of a citizenship question to the decennial survey. Join us as we bring together Census officials, stakeholders and scholars to discuss what's at stake in 2020. 

Event will also be live streamed: http://bit.ly/ISRCensusStream

Speakers:

Keynote: Al Fontenot, Associate Director, Decennial Census Program, U.S. Census Bureau

Panel 1: Citizenship and Politics

Opening remarks by U.S. Senator Gary Peters, Michigan

Barbara Anderson, former chair of the U.S. Census Scientific Advisory Committee, Ronald A. Freedman Collegiate Professor of Sociology and Population Studies, University of Michigan

James House, Angus Campbell Distinguished University Professor Emeritus of Survey Research, Public Policy, and Sociology, University of Michigan

Angela Ocampo, LSA Collegiate Postdoctoral Fellow, University of Michigan

Kurt Metzger, Mayor, City of Pleasant Ridge, MI | Founder and Director Emeritus,
Data Driven Detroit (D3)

Panel 2: Data Privacy and Science

John Eltinge, Assistant Director for Research and Methodology, U.S. Census Bureau

David Johnson, Director of the Panel Study of Income Dynamics, Research Professor, Survey Research Center at ISR

Joelle Abramowitz, Director of the Michigan Research Data Center, ISR

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Conference / Symposium Mon, 29 Oct 2018 12:17:31 -0400 2018-10-31T08:30:00-04:00 2018-10-31T12:00:00-04:00 Institute For Social Research Institute for Social Research Conference / Symposium Census event flyer
22nd Annual Mathematics Career & Graduate Program Conference (November 2, 2018 1:00pm) https://events.umich.edu/event/56946 56946-14032743@events.umich.edu Event Begins: Friday, November 2, 2018 1:00pm
Location: East Hall
Organized By: Department of Mathematics

All Students Welcome! Speak with U-M Mathematics Alumni and representatives from business, industry, education and financial and actuarial occupations, as well as U-M graduate programs. Faculty advisors will also be on hand to discuss declaring a major or minor in Mathematics! Refreshments Provided!

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Careers / Jobs Fri, 19 Oct 2018 17:08:05 -0400 2018-11-02T13:00:00-04:00 2018-11-02T16:00:00-04:00 East Hall Department of Mathematics Careers / Jobs Career Fair
Two-Step Estimation and Inference with Possibly Many Included Covariates (November 2, 2018 4:00pm) https://events.umich.edu/event/56594 56594-13951424@events.umich.edu Event Begins: Friday, November 2, 2018 4:00pm
Location: West Hall
Organized By: Michigan Institute for Data Science

Abstract: We study the implications of including many covariates in a first-step estimate entering a two-step estimation procedure. We find that a first order bias emerges when the number of included covariates is “large” relative to the square-root of sample size, rendering standard inference procedures invalid. We show that the jackknife is able to estimate this “many covariates” bias consistently, thereby delivering a new automatic bias-corrected two-step point estimator. The jackknife also consistently estimates the standard error of the original two-step point estimator. For inference, we develop a valid post-bias-correction bootstrap approximation that accounts for the additional variability introduced by the jackknife biascorrection. We find that the jackknife bias-corrected point estimator and the bootstrap postbias-correction inference perform excellent in simulations, offering important improvements over conventional two-step point estimators and inference procedures, which are not robust to including many covariates. We apply our results to an array of distinct treatment effect, policy evaluation, and other applied microeconomics settings. In particular, we discuss production function and marginal treatment effect estimation in detail.

Bio: Matias D. Cattaneo is a Professor of Economics and a Professor of Statistics at the University of Michigan. He joined Michigan’s faculty in 2008, after receiving a Ph.D. in Economics and an M.A. in Statistics from the University of California at Berkeley. Prior to coming to the U.S., he completed an M.A. in Economics at Universidad Torcuato Di Tella and a B.A. in Economics at Universidad of Buenos Aires. His research interests include mathematical statistics, econometric theory, and applied econometrics, with emphasis on applied microeconomics and program evaluation. Most of his recent work is related to the development of new, improved semiparametric and nonparametric inference procedures exhibiting demonstrable robustness properties with respect to tuning parameter and other implementation choices. Most of this work is motivated by concrete empirical problems in social sciences and several other disciplines, and covers a wide array of topics related to treatment effects and policy evaluation, average derivatives and structural response functions, applied finance and applied microeconomics, among others. He current serves as Associate Editor at the Journal of the American Statistical Association, the Review of Economics and Statistics, Operations Research, Econometric Theory, the Econometrics Journal, and the Journal of Causal Inference.

For more information on MIDAS or the Seminar Series, please contact midas-contact@umich.edu. MIDAS gratefully acknowledges Wacker Chemie AG for its generous support of the MIDAS Seminar Series.

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Workshop / Seminar Wed, 10 Oct 2018 14:20:21 -0400 2018-11-02T16:00:00-04:00 2018-11-02T17:00:00-04:00 West Hall Michigan Institute for Data Science Workshop / Seminar Matias Cattaneo
Automated Scalable Bayesian Inference via Data Summarization (November 9, 2018 4:00pm) https://events.umich.edu/event/57307 57307-14148804@events.umich.edu Event Begins: Friday, November 9, 2018 4:00pm
Location: West Hall
Organized By: Michigan Institute for Data Science

Abstract: Bayesian methods are attractive for analyzing large-scale data due to in part to their coherent uncertainty quantification, ability to model complex phenomena, and ease of incorporating expert information. Many standard Bayesian inference algorithms are often computationally expensive, however, so their direct application to large datasets can be difficult or infeasible. Other standard algorithms sacrifice accuracy in the pursuit of scalability. We take a new approach. Namely, we leverage the insight that data often exhibit approximate redundancies to instead obtain a weighted subset of the data (called a “coreset”) that is much smaller than the original dataset. We can then use this small coreset as input to existing Bayesian inference algorithms without modification. We provide theoretical guarantees on the size and approximation quality of the coreset. In particular, we show that our method provides geometric decay in posterior approximation error as a function of coreset size. We validate on both synthetic and real datasets, demonstrating that our method reduces posterior approximation error by orders of magnitude relative to uniform random subsampling.



Bio: Tamara Broderick is the ITT Career Development Assistant Professor in the Department of Electrical Engineering and Computer Science at MIT. She is a member of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), the MIT Statistics and Data Science Center, and the Institute for Data, Systems, and Society (IDSS). She completed her Ph.D. in Statistics at the University of California, Berkeley in 2014. Previously, she received an AB in Mathematics from Princeton University (2007), a Master of Advanced Study for completion of Part III of the Mathematical Tripos from the University of Cambridge (2008), an MPhil by research in Physics from the University of Cambridge (2009), and an MS in Computer Science from the University of California, Berkeley (2013). Her recent research has focused on developing and analyzing models for scalable Bayesian machine learning. She has been awarded an NSF CAREER Award (2018), a Sloan Research Fellowship (2018), an Army Research Office Young Investigator Program award (2017), Google Faculty Research Awards, the ISBA Lifetime Members Junior Researcher Award, the Savage Award (for an outstanding doctoral dissertation in Bayesian theory and methods), the Evelyn Fix Memorial Medal and Citation (for the Ph.D. student on the Berkeley campus showing the greatest promise in statistical research), the Berkeley Fellowship, an NSF Graduate Research Fellowship, a Marshall Scholarship, and the Phi Beta Kappa Prize (for the graduating Princeton senior with the highest academic average).

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Workshop / Seminar Thu, 01 Nov 2018 12:48:47 -0400 2018-11-09T16:00:00-05:00 2018-11-09T17:00:00-05:00 West Hall Michigan Institute for Data Science Workshop / Seminar Tamara Broderick, PhD
Development Summer Internship Program (D-SIP) Info Session (November 14, 2018 7:00pm) https://events.umich.edu/event/56719 56719-13969935@events.umich.edu Event Begins: Wednesday, November 14, 2018 7:00pm
Location: Michigan League
Organized By: Development Summer Internship Program (D-SIP)

Next Summer: Earn Money, Get Credits. Kick-start your Career.

Thinking about what you will do with your summer? Want to be PAID, get course credit and learn how to be an impressive young professional? The award-winning Development Summer Internship Program (D-SIP) provides you with a 12-week engaging summer experience comprised of a meaningful work project in philanthropy, academic coursework, and valuable professional development experiences. Through these 3 components, you will build a professional network of colleagues and establish lasting friendships with a cohort of interns hailing from a variety of schools and colleges on the U-M campuses. The application deadline is Sunday, January 13, 2019

Learn more about the program at our information session:

Wednesday, November 14th at 7:00 PM in Room D of the Michigan League

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Careers / Jobs Fri, 12 Oct 2018 12:47:41 -0400 2018-11-14T19:00:00-05:00 2018-11-14T20:00:00-05:00 Michigan League Development Summer Internship Program (D-SIP) Careers / Jobs D-SIP photo
Reliable Evidence from Health Care Data: Lessons from the Observational Health Data Sciences and Informatics (OHDSI) Collaborative (November 16, 2018 4:00pm) https://events.umich.edu/event/57308 57308-14148805@events.umich.edu Event Begins: Friday, November 16, 2018 4:00pm
Location: West Hall
Organized By: Michigan Institute for Data Science

Abstract: Concerns over reproducibility in science extend to research using existing healthcare data; many observational studies investigating the same topic produce conflicting results, even when using the same data. To address this problem, we propose a paradigm shift. The current paradigm centers on generating one estimate at a time using a unique study design with unknown reliability and publishing (or not) one estimate at a time. The new paradigm advocates for high-throughput observational studies using consistent and standardized methods, allowing evaluation, calibration, and unbiased dissemination to generate a more reliable and complete evidence base. We demonstrate this new paradigm by comparing all depression treatments for a set of outcomes, producing 17,718 hazard ratios, each using methodology on par with state-of-the-art studies. We furthermore include control hypotheses to evaluate and calibrate our evidence generation process. Results show good transitivity and consistency between databases, and agree with four out of the five findings from clinical trials. The distribution of effect size estimates reported in literature reveals an absence of small or null effects, with a sharp cutoff at p = 0.05. No such phenomena were observed in our results, suggesting more complete and more reliable evidence.



Bio: Marc A. Suchard is a Professor in the Departments of Biostatistics, of Biomathematics and of Human Genetics in the UCLA Fielding School of Public Health and David Geffen School of Medicine at UCLA. He earned his Ph.D. in biomathematics from UCLA in 2002 and continued for a M.D. degree which he received in 2004. Dr. Suchard is a leading Bayesian statistician who focuses on inference of stochastic processes in molecular epidemiology of infectious diseases. His training in both medicine and applied probability help to bridge the gap of understanding between statistical theory and clinical practicality. Dr. Suchard has been awarded several prestigious statistical awards such as the 2003 Savage Award, the 2006 and 2011 Mitchell Prizes, as well as a 2007 Alfred P. Sloan Research Fellowship in computational and molecular evolutionary biology, and a 2008 Guggenheim Fellowship to further computational statistics. Finally, he received the 2011 Raymond J. Carroll Young Investigator Award and the 2013 Committee of Presidents of Statistical Societies (COPSS) Presidents’ Award for outstanding contributions to the statistics profession by a person aged 40 or under.

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Workshop / Seminar Thu, 01 Nov 2018 12:54:59 -0400 2018-11-16T16:00:00-05:00 2018-11-16T17:00:00-05:00 West Hall Michigan Institute for Data Science Workshop / Seminar Marc A. Suchard, PhD
How to Count like an Egyptian (November 28, 2018 1:00pm) https://events.umich.edu/event/53827 53827-13463716@events.umich.edu Event Begins: Wednesday, November 28, 2018 1:00pm
Location: Off Campus Location
Organized By: Osher Lifelong Learning Institute (50+)

PLEASE NOTE: This event was originally scheduled to begin on October 31, 2018, but has been moved to begin on November 28. The time and place remain unchanged.

All cultures, past and present, have used mathematics to make sense of their lives. In this course we will explore some of the ways that different cultures have used mathematics for counting, trading, measuring, keeping track of time, scheduling religious practices, recreation, passing on cultural traditions, and design. This course requires no expertise in mathematics but should interest those who are curious about other cultures and how they lived their lives. The course will be fun and lively with lots of hands-on activities.

Lecturer Joan Cohen Jones is Professor Emeritus of Mathematics at EMU, where she taught mathematics for teachers. She is interested in the history of mathematics, especially how different cultures have used mathematical ideas throughout history, both formally and informally.

This study group for those 50 and over will meet on Wednesdays, 1-3, from November 28 through December 12.

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Class / Instruction Wed, 14 Nov 2018 15:06:47 -0500 2018-11-28T13:00:00-05:00 2018-11-28T15:00:00-05:00 Off Campus Location Osher Lifelong Learning Institute (50+) Class / Instruction OLLI Study Group
How to Make Causal Inferences Using Texts (January 11, 2019 4:00pm) https://events.umich.edu/event/59075 59075-14677952@events.umich.edu Event Begins: Friday, January 11, 2019 4:00pm
Location: West Hall
Organized By: Michigan Institute for Data Science

Abstract: New text-as-data techniques offer a great promise: the ability to discover, measure, and then utilize text-based variables for testing social science theories of interest from large collections of text. We introduce a conceptual framework for making causal inferences with text-based measures as either a treatment or outcome.  We argue that nearly all text-based causal inferences depend upon a latent representation of the text and provide a set of sufficient assumptions to identify causal effects when text is used as a treatment or outcome. We provide a framework to learn the latent representation---justifying the use of popular unsupervised methods such as topic modeling or principal component analysis---and then estimate causal effects with the same sample used to learn the latent representation. But estimating the latent representation, we show, creates new risks: we may introduce an identification problem or overfit. To address this problem we introduce a split-sample framework.  We apply our framework to study whether increasing the proportion of women on Congressional committees leads to more representation of women’s ideas during the legislative process and to assess how partisans respond to social media messages from President Trump.

Bio: Justin Grimmer is an associate professor of political science at Stanford University. His research examines how representation occurs in American politics using new statistical methods. His first book Representational Style in Congress: What Legislators Say and Why It Matters (Cambridge University Press, 2013) shows how senators define the type of representation they provide constituents and how this affects constituents' evaluations. His second book The Impression of Influence: How Legislator Communication and Government Spending Cultivate a Personal Vote (Under Review, with Sean J. Westwood and Solomon Messing) demonstrates how legislators ensure they receive credit for government actions. His work has appeared in the American Political Science Review, American Journal of Political Science, Journal of Politics, Political Analysis, Proceedings of the National Academy of Sciences, Regulation and Governance, and Poetics. During the 2013-2014 academic year he was a National Fellow at the Hoover Institute.

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Workshop / Seminar Wed, 02 Jan 2019 13:12:20 -0500 2019-01-11T16:00:00-05:00 2019-01-11T17:00:00-05:00 West Hall Michigan Institute for Data Science Workshop / Seminar Justin Grimmer, PhD
Michigan in Washington Information Session (January 16, 2019 5:00pm) https://events.umich.edu/event/59244 59244-14719626@events.umich.edu Event Begins: Wednesday, January 16, 2019 5:00pm
Location: Haven Hall
Organized By: Michigan in Washington Program

The MIW program offers an opportunity each year for 45-50 undergraduates from any major to spend a semester (Fall or Winter) in Washington D.C. Students combine coursework with an internship that reflects their particular area of interest (such as American politics, international studies, history, the arts, public health, economics, the media, the environment, science and technology). The semester in Washington is action packed. Students work four days a week, attend an elective one evening a week and a research course on Friday mornings. They spend their weekends exploring the city and taking in cultural events. Most leave Washington longing to return.

Students are free to pursue internships of their own choosing. They are coached in internship searching strategies as part of a prep class that is taken the semester before going to D.C. Students have interned at the White House, the Smithsonian, CNN, Greenpeace, CBS, Public Defender’s Service, Washington Institute for Near East Policy, NAACP, The Brookings Institution, American Enterprise Institute, National Defense University, Partnership for Public Service, Center for American Progress, Congressional Black Caucus Foundation and many others.
FUNDING is available for this living and learning program.

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Meeting Mon, 07 Jan 2019 14:39:39 -0500 2019-01-16T17:00:00-05:00 2019-01-16T18:00:00-05:00 Haven Hall Michigan in Washington Program Meeting Haven Hall
Marjorie Lee Browne Colloquium (January 21, 2019 4:00pm) https://events.umich.edu/event/59659 59659-14777893@events.umich.edu Event Begins: Monday, January 21, 2019 4:00pm
Location: East Hall
Organized By: Department of Mathematics

Abstract:
One can only imagine what it was like for Marjorie Lee Browne as she pursued her PhD at the University of Michigan in 1950. As the first African-American woman to come through the doctoral program in Mathematics at U of M, she would have had to navigate and clear her own unique path to take her place at the table. Forty-five years later, the speaker earned a PhD from the same department and acknowledges that Dr. Browne’s achievements made space for her success.

This talk will give an overview of the speaker’s my professional life with a highlight on her work in building partnerships between universities and industry. She will also talk about the efforts to ensure that a more diverse generation of young people with a diverse range of interests take their rightful place in mathematics communities, and that there is welcoming space for them. A reception for the speaker will be held in the Mathematics Atrium immediately following the talk.

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Lecture / Discussion Mon, 14 Jan 2019 09:59:22 -0500 2019-01-21T16:00:00-05:00 2019-01-21T17:00:00-05:00 East Hall Department of Mathematics Lecture / Discussion East Hall
Understanding Social Communication Systems with Homology Theory (January 22, 2019 11:30am) https://events.umich.edu/event/59209 59209-14717513@events.umich.edu Event Begins: Tuesday, January 22, 2019 11:30am
Location: Weiser Hall
Organized By: The Center for the Study of Complex Systems

Current theoretical explorations of social communication systems rely on dyadic network-based representations of knowledge sharing. Real-world systems, however, frequently involve larger groups inter-communicating simultaneously. While some of these larger group interactions can be well approximated dyadically, others are left without a natural mathematical description for study. This talk will present some initial work tailoring concepts of simplicial sets from homology theory to address some of these questions and will demonstrate some simulation-based results with direct implication for communication systems. We will conclude with some discussion of how these perspectives might let us design efficient social groups to best accomplish different types of communication.

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Workshop / Seminar Wed, 16 Jan 2019 14:21:09 -0500 2019-01-22T11:30:00-05:00 2019-01-22T13:00:00-05:00 Weiser Hall The Center for the Study of Complex Systems Workshop / Seminar FeffermanSeminarFlyer
Linking a dose-response model to observed infection to describe spatial-temporal patterns in a Q fever outbreak (January 22, 2019 1:00pm) https://events.umich.edu/event/59717 59717-14780104@events.umich.edu Event Begins: Tuesday, January 22, 2019 1:00pm
Location: Public Health I (Vaughan Building)
Organized By: Center for Midlife Science

Abstract: We explore a Netherlands outbreak of Q fever in 2009 by combining a human dose–response model with geostatistics to predict local probability of infection, associated probability of illness, and local effective exposures to Coxiella burnetii. We begin with the spatial distribution of 220 notified cases in the at–risk population. Next, we use the dose-response relationship (established via historical experiments) to convert the observed risk map into an estimated smooth spatial field of local dose. Based on the observed symptomatic cases, the dose–response model predicts a median of 611 asymptomatic infections (95% range 410 to 1,084), i.e., 2.78 (95% range 1.86 to 4.93) asymptomatic infections for each reported case. The estimated peak levels of exposure extend to the north–east from the point source with an increasing proportion of asymptomatic infections further from the source. Our work combines established methodology from model-based geostatistics and dose-response modeling providing a novel approach to study outbreaks. Such predictions (and associated uncertainties) are important for targeting interventions during an outbreak, estimating future disease burden, and planning public health response.

Joint work with R. John Brooke, St. Jude Children’s Research Hospital, Memphis TN; Peter FM Teunis, Centre for Infectious Disease Control, RIVM, Bilthoven, the Netherlands; Mirjam EE Kretzschmar, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, the Netherlands. Sponsored by: Integrated Health Sciences Core of the Michigan Center on Lifestage Environmental Exposures and Disease (M-LEEaD).

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Lecture / Discussion Mon, 14 Jan 2019 15:50:18 -0500 2019-01-22T13:00:00-05:00 2019-01-22T14:00:00-05:00 Public Health I (Vaughan Building) Center for Midlife Science Lecture / Discussion 2019 Environmental Statistics Day
Michigan in Washington Information Session (January 23, 2019 5:00pm) https://events.umich.edu/event/59244 59244-14719627@events.umich.edu Event Begins: Wednesday, January 23, 2019 5:00pm
Location: Haven Hall
Organized By: Michigan in Washington Program

The MIW program offers an opportunity each year for 45-50 undergraduates from any major to spend a semester (Fall or Winter) in Washington D.C. Students combine coursework with an internship that reflects their particular area of interest (such as American politics, international studies, history, the arts, public health, economics, the media, the environment, science and technology). The semester in Washington is action packed. Students work four days a week, attend an elective one evening a week and a research course on Friday mornings. They spend their weekends exploring the city and taking in cultural events. Most leave Washington longing to return.

Students are free to pursue internships of their own choosing. They are coached in internship searching strategies as part of a prep class that is taken the semester before going to D.C. Students have interned at the White House, the Smithsonian, CNN, Greenpeace, CBS, Public Defender’s Service, Washington Institute for Near East Policy, NAACP, The Brookings Institution, American Enterprise Institute, National Defense University, Partnership for Public Service, Center for American Progress, Congressional Black Caucus Foundation and many others.
FUNDING is available for this living and learning program.

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Meeting Mon, 07 Jan 2019 14:39:39 -0500 2019-01-23T17:00:00-05:00 2019-01-23T18:00:00-05:00 Haven Hall Michigan in Washington Program Meeting Haven Hall
Quantify Systematics from Mislabeled Truth Tables in Supervised Learning (January 25, 2019 4:00pm) https://events.umich.edu/event/59978 59978-14806102@events.umich.edu Event Begins: Friday, January 25, 2019 4:00pm
Location: West Hall
Organized By: Michigan Institute for Data Science

Abstract: Many real world classification problems use ground truth labels created by human annotators. However, observed data is never perfect, and even labels assigned by perfect annotators can be systematically biased due to poor quality of the data they are labeling. This bias is not created by the annotators from measurement error, but is intrinsic to the observational data. We present a method for de-biasing labels which simultaneously learns a classification model, estimates the intrinsic biases in the ground truth, and provides new de-biased labels. We test our algorithm on simulated and real data and show that it is superior to standard denoising algorithms, like instance weighted logistic regression. We apply our technique to galaxy images and find that the morphologies based on supervised machine-learning trained over features such as colors, shape, and concentration show significantly less bias than morphologies based on expert or citizen-science classifiers. This result holds even when there is underlying bias present in the training sets used in the supervised machine learning process.

Bio: Chris Miller is a leader in astroinformatics – mixing computer science, advanced statistics, and data mining to answer key cosmological questions. His specialty is using galaxy clusters to trace the distribution of matter in the universe. After years exploiting the Sloan Digital Sky Survey, he is now heavily involved in the Dark Energy Survey and Dark Energy Spectroscopic Survey, two of the largest current astronomical survey efforts. Professor Miller used his galaxy-cluster research to support the Big Bang theory by aligning findings from opposing cosmological epochs. He was the first to see the signatures of sound waves from the very early universe that were “frozen into” the matter-density distribution that we observe today. His analysis of the current universe synched neatly with the acoustic oscillations of the early universe detected in the cosmic microwave background, and demonstrated the power of combining big-survey with focused observational follow-up data. He has published in a variety of journals outside his own fields of physics and astronomy, including NIPS, ICPR, The Annals of Applied Statistics, and Statistical Science.

Background: BS, Penn State; PhD, University of Maine. Postdoc (2000-2005) Carnegie-Mellon; Faculty (2005-2009) National Optical Astronomy Observatory/Chile. Hired in 2010 at U-M under a presidential initiative for advancing data mining research.

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Workshop / Seminar Thu, 17 Jan 2019 17:29:47 -0500 2019-01-25T16:00:00-05:00 2019-01-25T17:00:00-05:00 West Hall Michigan Institute for Data Science Workshop / Seminar Chris Miller, PhD
Mental Health Awareness Workshop (January 28, 2019 2:00pm) https://events.umich.edu/event/60143 60143-14840457@events.umich.edu Event Begins: Monday, January 28, 2019 2:00pm
Location: Palmer Commons
Organized By: STEM in Color

STEM in Color is pleased to invite you and your colleagues to our mental health awareness workshop: “How to Save a Life: Strategies for Addressing Mental Health Challenges in STEM and a Call for Cultural Change”. For this occasion, we have specifically partnered with the University of Michigan’s Counseling and Psychological Services (CAPS) to develop a workshop that will not only raise awareness surrounding the mental health challenges faced by our community, but one that will equip participants with research based strategies for promoting mental well-being through prevention, intervention, and coping mechanisms.

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Workshop / Seminar Mon, 21 Jan 2019 13:09:38 -0500 2019-01-28T14:00:00-05:00 2019-01-28T15:30:00-05:00 Palmer Commons STEM in Color Workshop / Seminar Mental Health Workshop
Measuring self-similarity: power-laws and discrete scaling in blood vessels, earthquakes and fractals (February 5, 2019 11:30am) https://events.umich.edu/event/60276 60276-14857777@events.umich.edu Event Begins: Tuesday, February 5, 2019 11:30am
Location: Weiser Hall
Organized By: The Center for the Study of Complex Systems

Wealth, earthquakes, blood vessels, turbulence and many other phenomena follow power-law probabilities with "black swan" behavior: extreme values such as billionaires or the 1906 San Francisco earthquake occur far more often than we would expect from seeing typical cases. The exponent of the power law determines the frequency of rare events and its measurement has been a challenge across fields. Power-law distributions arise from a symmetry, scale invariance, which is related to self-similarity. I introduce a new kind of power-law probability distribution that only assumes invariance to discrete scale transformations and thereby describes a wider variety of self-similar objects. I show how accounting for discreteness can resolve some of the difficulty of measuring power law exponents: popular maximum-likelihood inference methods are unstable in common empirical contexts and a discrete estimator rescues the method. This results in a 10% correction to measurements of the Gutenberg-Richter earthquake scaling constant and a new method for measuring scaling relationships in fractal objects like circulatory systems and Romanesco broccoli.

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Workshop / Seminar Mon, 28 Jan 2019 10:29:48 -0500 2019-02-05T11:30:00-05:00 2019-02-05T13:00:00-05:00 Weiser Hall The Center for the Study of Complex Systems Workshop / Seminar Mitchell Newberry Photo
State of the Union 2019 Debrief (February 6, 2019 1:00pm) https://events.umich.edu/event/60189 60189-14917072@events.umich.edu Event Begins: Wednesday, February 6, 2019 1:00pm
Location: Off Campus Location
Organized By: Engaging Scientists in Policy and Advocacy

Join us for lunch and discussion focused on the 2019 State of the Union, and reflections on this year in science policy. RSVP so we can order enough food: https://goo.gl/forms/wwJeexu2J4nsoRls1

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Meeting Wed, 30 Jan 2019 11:50:30 -0500 2019-02-06T13:00:00-05:00 2019-02-06T14:00:00-05:00 Off Campus Location Engaging Scientists in Policy and Advocacy Meeting SOTU 2019 flyer
Michigan in Washington Information Session (February 6, 2019 5:00pm) https://events.umich.edu/event/59244 59244-14719629@events.umich.edu Event Begins: Wednesday, February 6, 2019 5:00pm
Location: Haven Hall
Organized By: Michigan in Washington Program

The MIW program offers an opportunity each year for 45-50 undergraduates from any major to spend a semester (Fall or Winter) in Washington D.C. Students combine coursework with an internship that reflects their particular area of interest (such as American politics, international studies, history, the arts, public health, economics, the media, the environment, science and technology). The semester in Washington is action packed. Students work four days a week, attend an elective one evening a week and a research course on Friday mornings. They spend their weekends exploring the city and taking in cultural events. Most leave Washington longing to return.

Students are free to pursue internships of their own choosing. They are coached in internship searching strategies as part of a prep class that is taken the semester before going to D.C. Students have interned at the White House, the Smithsonian, CNN, Greenpeace, CBS, Public Defender’s Service, Washington Institute for Near East Policy, NAACP, The Brookings Institution, American Enterprise Institute, National Defense University, Partnership for Public Service, Center for American Progress, Congressional Black Caucus Foundation and many others.
FUNDING is available for this living and learning program.

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Meeting Mon, 07 Jan 2019 14:39:39 -0500 2019-02-06T17:00:00-05:00 2019-02-06T18:00:00-05:00 Haven Hall Michigan in Washington Program Meeting Haven Hall
Startup Career Fair (February 15, 2019 12:00pm) https://events.umich.edu/event/60363 60363-14866463@events.umich.edu Event Begins: Friday, February 15, 2019 12:00pm
Location: Duderstadt Center
Organized By: MPowered Entrepreneurship

Interested in getting a job or internship at a startup? Come to Startup Career Fair to meet some of today's most exciting startups! All majors and years are welcome and encouraged to attend. There will be a variety of internship and full-time opportunities available.

Sign up here! https://tinyurl.com/yddgpnu9

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Careers / Jobs Thu, 24 Jan 2019 15:13:47 -0500 2019-02-15T12:00:00-05:00 2019-02-15T16:00:00-05:00 Duderstadt Center MPowered Entrepreneurship Careers / Jobs Flyer
Science as Art Exhibition- Panel discussion & Awards Reception (February 15, 2019 2:00pm) https://events.umich.edu/event/38185 38185-15056573@events.umich.edu Event Begins: Friday, February 15, 2019 2:00pm
Location: Hatcher Graduate Library
Organized By: Arts at Michigan

Arts at Michigan, ArtsEngine and the Science Learning Center invite you to the Science as Art Contest Exhibition and Awards Reception- Hatcher Graduate Library, Rm 100.

2pm Office Hours for participating artists
3pm Panel Discussion & Reception
4pm Awards Announcements


University of Michigan undergraduate students will have artwork on view expressing a scientific principle, concept, idea, process, or structure. The artwork ranges in media, including visual, literary, musical, video and performance-based art. A juried panel using criteria based on both scientific and artistic considerations will choose winning submissions. This is our fourth year of the exhibition, and we received a record number of submissions, so we hope you'll join us to view the work and give out the awards!

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Exhibition Thu, 30 Jan 2020 11:57:18 -0500 2019-02-15T14:00:00-05:00 2019-02-15T16:00:00-05:00 Hatcher Graduate Library Arts at Michigan Exhibition Science as Art logo
Matrix Completion in Network Analysis (March 1, 2019 4:00pm) https://events.umich.edu/event/61639 61639-15161279@events.umich.edu Event Begins: Friday, March 1, 2019 4:00pm
Location: West Hall
Organized By: Michigan Institute for Data Science

Abstract: Matrix completion is an active area of research in itself,and a natural tool to apply to network data, since many real networks are observed incompletely and/or with noise. However, developing matrix completion algorithms for networks requires taking into account the network structure. This talk will discuss three examples of matrix completion used for network tasks. First, we discuss the use of matrix completion for cross-validation or non-parametric bootstrap on network data, a long-standing problem in network analysis. Two other examples focus on reconstructing incompletely observed networks, with structured missingness resulting from network sampling mechanisms. One scenario we consider is egocentric sampling, where a set of nodes is selected first and then their connections to the entire network are observed. Another scenario focuses on data from surveys, where people are asked to name a given number of friends. We show that matrix completion can generally be very helpful in solving network problems, as long as the network structure is taken into account. This talk is based on joint work with Elizaveta Levina, Tianxi Li and Yun-Jhong Wu.

Bio: Ji Zhu is a Professor in the Department of Statistics at the University of Michigan, Ann Arbor. He received his B.Sc. in Physics from Peking University, China in 1996 and M.Sc. and Ph.D. in Statistics from Stanford University in 2000 and 2003, respectively. His primary research interests include statistical machine learning, high-dimensional data modeling, statistical network analysis and their applications to health sciences. He received an NSF CAREER Award in 2008; and he was elected as a Fellow of the American Statistical Association in 2013 and a Fellow of the Institute of Mathematical Statistics in 2015.

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Workshop / Seminar Tue, 26 Feb 2019 13:51:23 -0500 2019-03-01T16:00:00-05:00 2019-03-01T17:00:00-05:00 West Hall Michigan Institute for Data Science Workshop / Seminar Ji Zhu, PhD
Towards a neural and mathematical understanding of how we generate and keep a musical beat (March 12, 2019 11:30am) https://events.umich.edu/event/59963 59963-14806083@events.umich.edu Event Begins: Tuesday, March 12, 2019 11:30am
Location: Weiser Hall
Organized By: The Center for the Study of Complex Systems

While many people say they have no rhythm, most humans when listening to music can easily discern and move to a beat. On the other hand, many of us are not so adept at actually generating and maintaining a constant beat over a period of time. Demonstrating a beat is a very complicated task. Among other things, it involves the ability of our brains to estimate time intervals and to make physical movements, for example hitting a drum, in coordination with the time estimates that we make. How the complex system comprised of our brain and body solves this problem is an open and active area of research. In this talk, I will introduce a neuromechanistic model of a beat generator, which is defined here as a group of neurons that can learn to keep a constant beat across a range of frequencies relevant to music. The model is a biophysical manifestation of two different types of models: error/correction and neural entrainment models, both of which will be reviewed. The goal of the talk is not just to introduce a new way of thinking of beat generation, but also to raise a series of questions about the nature of time and the role of perception in our ability to make decisions.

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Workshop / Seminar Mon, 04 Mar 2019 16:16:51 -0500 2019-03-12T11:30:00-04:00 2019-03-12T13:00:00-04:00 Weiser Hall The Center for the Study of Complex Systems Workshop / Seminar Amitabha Bose Photo
A Bioethical Lunch on Mathematical Biology (March 14, 2019 12:00pm) https://events.umich.edu/event/54453 54453-13585504@events.umich.edu Event Begins: Thursday, March 14, 2019 12:00pm
Location: North Campus Research Complex Building 10
Organized By: The Bioethics Discussion Group

A lunchtime discussion on mind-numbing numbers and the biography of our biology.

Please note the location of the event is now at NCRC B10 G065. Sorry about any confusion.

RSVP here: https://goo.gl/forms/BoWDofDjF9sYJDrv1

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Lecture / Discussion Fri, 01 Mar 2019 16:09:59 -0500 2019-03-14T12:00:00-04:00 2019-03-14T13:30:00-04:00 North Campus Research Complex Building 10 The Bioethics Discussion Group Lecture / Discussion Mathematical biology
Scalable Bayesian Inference with Hamiltonian Monte Carlo (March 22, 2019 4:00pm) https://events.umich.edu/event/61942 61942-15241348@events.umich.edu Event Begins: Friday, March 22, 2019 4:00pm
Location: Weiser Hall
Organized By: Michigan Institute for Data Science

Abstract: Despite the promise of big data, inferences are often limited not by sample size but rather by systematic effects. Only by carefully modeling these effects can we take full advantage of the data -- big data must be complemented with big models and the algorithms that can fit them. One such algorithm is Hamiltonian Monte Carlo, which exploits the inherent geometry of the posterior distribution to admit full Bayesian inference that scales to the complex models of practical interest. In this talk I will present a conceptual discussion of the challenges inherent to Bayesian computation and the foundations of why Hamiltonian Monte Carlo in uniquely suited to surmount them.

Bio: Michael Betancourt is the principal research scientist with Symplectomorphic, LLC where he develops theoretical and methodological tools to support practical Bayesian inference. He is also a core developer of Stan, where he implements and tests these tools. In addition to hosting tutorials and workshops on Bayesian inference with Stan he also collaborates on analyses in epidemiology, pharmacology, and physics, amongst others. Before moving into statistics, Michael earned a B.S. from the California Institute of Technology and a Ph.D. from the Massachusetts Institute of Technology, both in physics.

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Workshop / Seminar Thu, 07 Mar 2019 13:43:04 -0500 2019-03-22T16:00:00-04:00 2019-03-22T17:00:00-04:00 Weiser Hall Michigan Institute for Data Science Workshop / Seminar Michael Betancourt, PhD
Confined curved shells and their elaborate conformations (March 26, 2019 11:30am) https://events.umich.edu/event/61796 61796-15186441@events.umich.edu Event Begins: Tuesday, March 26, 2019 11:30am
Location: Weiser Hall
Organized By: The Center for the Study of Complex Systems

Curved shells, when confined, can deform to a broad assortment of large scale shapes and smaller scale wrinkling and folding patterns quite unlike those produced by their flat counterparts. The intrinsic, natural curvature of an elastic shell is the central element that allows for this rich and very interesting morphological landscape. It is also the source of the geometric nonlinearities that render a direct analytic treatment of non-Euclidean shells difficult, even under small forces or applied loads. In this talk we examine some snapshots of this morphological landscape. Inspired by the natural folding and unfolding of pollen grains, we use theory, simulations and experiments to explore the large scale deformation of a confined thin spherical shell with an opening. We then proceed to investigate the surface topography of shallow doubly curved shells resting on a fluid substrate. The frustration due to the competing flat geometry of the substrate and the curved one of the shell produces a wealth of highly reproducible and ordered wrinkling patterns, in conjunction with other random and disordered patterns as well. These examples illustrate that Gaussian curvature can be a powerful tool for the creation of complex patterns

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Workshop / Seminar Mon, 04 Mar 2019 16:13:24 -0500 2019-03-26T11:30:00-04:00 2019-03-26T13:00:00-04:00 Weiser Hall The Center for the Study of Complex Systems Workshop / Seminar Eleni Katifori
2019 Ford Distinguished Lecture in Physics | General Relativity: Creator and Killer of Galaxies (March 27, 2019 4:00pm) https://events.umich.edu/event/60963 60963-14997736@events.umich.edu Event Begins: Wednesday, March 27, 2019 4:00pm
Location: Ross School of Business
Organized By: Department Colloquia

The story of galaxy life cycles is becoming clear. Professor and Astronomer Emerita Sandra Faber will take us through the earliest moments of galaxy birth during inflation, the inception of star formation, the gradual emergence of shape and structure, and finally death at the hands of black holes. Explaining the origin of galaxies is emerging as one of the great triumphs of modern physics.

Dr. Sandra Faber is a Professor Emerita at the University of California Santa Cruz and an Astronomer Emerita at the University of California Observatories.

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Lecture / Discussion Fri, 08 Feb 2019 13:23:42 -0500 2019-03-27T16:00:00-04:00 2019-03-27T17:00:00-04:00 Ross School of Business Department Colloquia Lecture / Discussion Sandra Faber, Department of Astronomy and Astrophysics (UCSC)
Robotics Seminar - Tools for Orbital Stabilization of Underactuated Mechanical Systems (April 2, 2019 12:00pm) https://events.umich.edu/event/61884 61884-15230340@events.umich.edu Event Begins: Tuesday, April 2, 2019 12:00pm
Location: Lurie Robert H. Engin. Ctr
Organized By: Michigan Robotics

Anton Shiriaev, Professor, Engineering Cybernetics, Norwegian University of Science and Technology will give a seminar titled, "Analytic and Computational Tools for Orbital Stabilization of Behaviors of Underactuated Mechanical Systems."

One of great advantages of model-based approaches in robotics is a possibility to separate the task of motion and trajectory planning from the task of a synthesis of feedback controller for stabilizing the preplanned behavior. This is quite different from the way humans learn motions where searches (trials) for new behaviors are embodied and accompanied by feedback actions. The talk will provide a discussion of the second assignment (feedback controller design) for the case when a feedback controller is requested to ensure a Poincare (or the same orbital) stability of a forced periodic solution of a nonlinear dynamical system. Geometric interpretations of the problem settings motivate introducing specific coordinates (transverse to the motion and along the motion) that help in defining math concepts and computational tools necessary for solving the stabilization task for smooth or hybrid nonlinear systems. The development is illustrated by examples of controlling gaits of walking robots and hand manipulations of passive objects with one or several passive degrees of freedom.

Refreshments will be served.

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Workshop / Seminar Wed, 06 Mar 2019 08:43:07 -0500 2019-04-02T12:00:00-04:00 2019-04-02T13:00:00-04:00 Lurie Robert H. Engin. Ctr Michigan Robotics Workshop / Seminar walking model
The Unlikely Friendship of Math and Science (April 3, 2019 5:30pm) https://events.umich.edu/event/62432 62432-15364114@events.umich.edu Event Begins: Wednesday, April 3, 2019 5:30pm
Location: East Hall
Organized By: Department of Mathematics

Abstract: On the one hand, there's science: the clear-eyed, hard-nosed, the pragmatic empiricist. On the other hand, there's math: the poet, the dreamer, the hunter of wild abstractions. How do these two intellectual traditions regard one another? And why is it that the most useless-sounding math - from knot theory to meta-logic to non-Euclidean geometry - often turns out to be the most useful? Prerequisites: basic human curiosity; tolerance for bad drawings; the willingness to participate in a silly debate. In short: all are welcome!

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Lecture / Discussion Thu, 21 Mar 2019 14:15:46 -0400 2019-04-03T17:30:00-04:00 2019-04-03T18:30:00-04:00 East Hall Department of Mathematics Lecture / Discussion Ben Orlin Public Lecture
G.R.E.A.T. Workshop (April 4, 2019 8:00am) https://events.umich.edu/event/60729 60729-14957193@events.umich.edu Event Begins: Thursday, April 4, 2019 8:00am
Location: Space Research Building
Organized By: Climate and Space Sciences and Engineering

Students from all institutions are invited to apply to attend this one-day workshop at the Climate and Space Sciences and Engineering Department. Participants will learn about the graduate school application process, the grad school experience, and how to translate that experience into opportunities.

Apply to Attend:
In order to apply you’ll need to know your current GPA, and have an unofficial transcript ready to upload. We also have Travel Awards available to help with travel and hotel costs. Follow this link to apply.

DEADLINE TO APPLY: FEBRUARY 15, 2019
Workshop Highlights
How to pick the right graduate school and program for you. (Faculty led panel)
Putting together your application package. (Small group meetings with faculty)
Lunch and conversation with current graduate students
What do you actually do in graduate school?(both student and faculty perspectives)
What research opportunities are there here at Climate & Space?
Career panel about opportunities in academia, government and industry after grad school.

"Climate & Space is really a community...it’s inevitable that you’ll all end up doing your homework together and becoming friends. It’s also a really unique experience, especially at a school as large as Michigan.”

Agenda:
9:00-9:30 AM: Welcome! Introduction to the Department and Workshop goals
:: Theme 1: I knew I was forgetting something! What to do before you get to grad school.
9:30-10:00 AM: How to pick the right graduate school and program for you (Faculty-led panel).
10:00-11:00 AM: Applying to graduate school (Panel led by Admissions Chairs).
11:00-12:00 PM: Putting together your application package (Small group meetings with faculty.
12:00-1:00 PM: Lunch with current graduate students
:: Theme 2: Now what? What happens once you are in grad school?
1:00-2:00 PM: What do you actually do in graduate school? (student perspective)
2:00-2:30 PM: What do you actually do in graduate school? (faculty perspective)
2:30:3:00 PM: What research opportunities are there here at Climate & Space?
3:00-3:30 PM: Coffee and individual meetings.
3:30-4:00 PM: Laboratory tour of facilities at Climate and Space Research Building
:: Theme 3: Well, that was fun. What do you now that you’ve finished grad school?
4:00-5:00 PM: We will conclude the day with a panel about career opportunities in academia, government and industry after grad school.

Workshop Faculty Contact​: Jeremy Bassis, Associate Professor jbassis@umich.edu

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Workshop / Seminar Sun, 03 Feb 2019 20:29:43 -0500 2019-04-04T08:00:00-04:00 2019-04-04T17:00:00-04:00 Space Research Building Climate and Space Sciences and Engineering Workshop / Seminar CLaSP logo
29th Golden Apple Award (April 8, 2019 7:00pm) https://events.umich.edu/event/62640 62640-15416700@events.umich.edu Event Begins: Monday, April 8, 2019 7:00pm
Location: Rackham Graduate School (Horace H.)
Organized By: Golden Apple Award

Mark Conger is being honored as the student nominated Golden Apple Award Winner. He will be giving his lecture: The Local, the Global, and the Nature of Infinity. Please come and join us in honoring Mr. Conger!

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Reception / Open House Fri, 05 Apr 2019 18:22:01 -0400 2019-04-08T19:00:00-04:00 2019-04-08T21:00:00-04:00 Rackham Graduate School (Horace H.) Golden Apple Award Reception / Open House Rackham Graduate School (Horace H.)
Computational Science: Classical Origins, New Frontiers (April 10, 2019 8:00am) https://events.umich.edu/event/60525 60525-14903665@events.umich.edu Event Begins: Wednesday, April 10, 2019 8:00am
Location: Rackham Graduate School (Horace H.)
Organized By: Michigan Institute for Computational Discovery and Engineering

The Michigan Institute for Computational Discovery and Engineering is proud to welcome a distinguished group of scientists from around the world for its 2019 Symposium, titled “Computational Science: Classical Origins, New Frontiers.”

Stephen Wolfram, creator of Mathematica, will deliver the keynote address, titled "The Computational X Future." Abstract: For every field X there either is now, or soon will be, a computational X---and it'll be the future of the field. This talk will discuss both the theory and the practice of computation as the key paradigm for future of science. Expect to challenge the speaker with what computational X might be for your favorite value of X.

Dr. Wolfram will be joined by an outstanding slate of speakers:

Marsha Berger — Professor of Computer Science and Mathematics, Courant Institute, New York University
Marisa Eisenberg - Associate Professor of Epidemiology, Mathematics and Complex Systems, U-M
Carla Gomes — Professor of Computer Science and Director, Institute for Computational Sustainability, Cornell University
Jan Hesthaven — Dean, School of Basic Sciences, École Polytechnique Fédérale de Lausanne, Switzerland
Necmiye Ozay — Assistant Professor, Electrical Engineering and Computer Science, U-M

Poster Competition:
The symposium includes a poster competition highlighting outstanding computational work from U-M students and postdocs. First place will be awarded $500, second $300 and third place $200.

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Conference / Symposium Fri, 22 Mar 2019 15:29:27 -0400 2019-04-10T08:00:00-04:00 2019-04-10T17:00:00-04:00 Rackham Graduate School (Horace H.) Michigan Institute for Computational Discovery and Engineering Conference / Symposium MICDESymposium 2019 Image
Exploring the Computational Universe: Discoveries and Implications (April 11, 2019 11:30am) https://events.umich.edu/event/62332 62332-15353055@events.umich.edu Event Begins: Thursday, April 11, 2019 11:30am
Location: West Hall
Organized By: The Center for the Study of Complex Systems

Abstract: This talk will discuss my current views about the basic science and the practical applications of phenomena in the computational universe of simple programs. I'll talk about my current ideas about modeling, abstraction, and mining the computational universe for technology. I'll also talk about implications for AI, SETI, and basic questions about the role of humans in the computational universe.

About: Stephen Wolfram is the creator of Mathematica, Wolfram|Alpha and the Wolfram Language; the author of A New Kind of Science; and the founder and CEO of Wolfram Research. In recognition of his early work in physics and computing, Wolfram became in 1981 the youngest recipient of a MacArthur Fellowship. Following his scientific work on complex systems research, in 1986 Wolfram founded the first journal in the field: Complex Systems.

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Workshop / Seminar Wed, 10 Apr 2019 09:59:25 -0400 2019-04-11T11:30:00-04:00 2019-04-11T13:00:00-04:00 West Hall The Center for the Study of Complex Systems Workshop / Seminar Stephen Wolfram
Michigan Quantum Science and Technology Workshop (April 11, 2019 1:00pm) https://events.umich.edu/event/62495 62495-15372993@events.umich.edu Event Begins: Thursday, April 11, 2019 1:00pm
Location: Off Campus Location
Organized By: Physics Workshops & Conferences

One of the near term objectives of the Working Group is to develop a complete picture of the Michigan footprint in quantum science and technology and work to shape the image so that it can be understood in the context of the quantum initiative that is shaping up in the different funding agencies. To help in this process, a workshop is being held in April where speakers from other institutions and organizations will give their perspective on the future in this area. In addition, there will be approximately 5 internal speakers. Each of the internal speakers are working to prepare a description of the focus and impact of an area of research that includes the work of several faculty including themselves. Between the internal speakers, we expect to be able to include almost all the research areas of people who has responded to the invitation to submit their work for inclusion.

Confirmed external speakers include:
Sophia Economou (Virginia Tech)
Dan Gauthier (Ohio State)
Chris Greene (Purdue)
Tony Heinz (Stanford)
Peter Littlewood (U. Chicago)
Igor Markov (Adjunction Prof. Umich))
Johannes Pollanen (Michigan State)
Mike Raymer (U. Oregon)

Any questions? Please contact:
Duncan Steel, Robert J. Hiller Professor
Professor of Electrical Engineering and Computer Science
Professor of Physics
dst@umich.edu
(734) 764-4469

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Workshop / Seminar Wed, 27 Mar 2019 09:46:51 -0400 2019-04-11T13:00:00-04:00 2019-04-11T17:00:00-04:00 Off Campus Location Physics Workshops & Conferences Workshop / Seminar Spectroscopy
Michigan Quantum Science and Technology Workshop (April 12, 2019 8:00am) https://events.umich.edu/event/62495 62495-15372992@events.umich.edu Event Begins: Friday, April 12, 2019 8:00am
Location: Off Campus Location
Organized By: Physics Workshops & Conferences

One of the near term objectives of the Working Group is to develop a complete picture of the Michigan footprint in quantum science and technology and work to shape the image so that it can be understood in the context of the quantum initiative that is shaping up in the different funding agencies. To help in this process, a workshop is being held in April where speakers from other institutions and organizations will give their perspective on the future in this area. In addition, there will be approximately 5 internal speakers. Each of the internal speakers are working to prepare a description of the focus and impact of an area of research that includes the work of several faculty including themselves. Between the internal speakers, we expect to be able to include almost all the research areas of people who has responded to the invitation to submit their work for inclusion.

Confirmed external speakers include:
Sophia Economou (Virginia Tech)
Dan Gauthier (Ohio State)
Chris Greene (Purdue)
Tony Heinz (Stanford)
Peter Littlewood (U. Chicago)
Igor Markov (Adjunction Prof. Umich))
Johannes Pollanen (Michigan State)
Mike Raymer (U. Oregon)

Any questions? Please contact:
Duncan Steel, Robert J. Hiller Professor
Professor of Electrical Engineering and Computer Science
Professor of Physics
dst@umich.edu
(734) 764-4469

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Workshop / Seminar Wed, 27 Mar 2019 09:46:51 -0400 2019-04-12T08:00:00-04:00 2019-04-12T17:00:00-04:00 Off Campus Location Physics Workshops & Conferences Workshop / Seminar Spectroscopy
Studying migration processes using Facebook data (April 15, 2019 12:00pm) https://events.umich.edu/event/63035 63035-15536930@events.umich.edu Event Begins: Monday, April 15, 2019 12:00pm
Location: Institute For Social Research
Organized By: Institute for Social Research

Big Data in Population Science - Mini-Series (2 of 4)

Professor Zagheni will discuss his work around Big Data in Population Science.

Emilio Zagheni (PhD in Demography, UC Berkeley 2010; MA in Statistics, UC Berkeley 2008) is Director of the Max Planck Institute for Demographic Research in Rostock, Germany and Affiliate Associate Professor of Sociology at the University of Washington, Seattle, where he is also a Data Science Fellow of the eScience Institute. Zagheni is a demographer who uses mathematical, statistical and computationally-intensive approaches to study the causes and consequences of population dynamics. Motivated by the ambition to improve people's lives through the scientific study of our societies, he is consolidating a portfolio that leverages interdisciplinary approaches to monitor demographic change, to explain population processes, and to predict future demographic outcomes. He is best known for his pioneering work on using Web and social media data for studying migration processes. In 2016, he received the Trailblazer Award from the European Association for Population Studies for his pivotal role in developing the field of Digital and Computational Demography. Emilio Zagheni has published in top journals in Demography (e.g.Demography, Population and Development Review, Population Research and Policy Review) and Statistics (e.g., Journal of the American Statistical Association, Biostatistics) as well as in computer science conference proceedings (e.g. WebSci, WWW, WSDM, ICWSM). He co-chairs the IUSSP Panel for Digital Demography.

Michigan Population Studies Center (PSC) Brown Bag seminars highlight recent research in population studies and serve as a focal point for building our research community.

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Lecture / Discussion Wed, 10 Apr 2019 15:55:37 -0400 2019-04-15T12:00:00-04:00 2019-04-15T13:00:00-04:00 Institute For Social Research Institute for Social Research Lecture / Discussion Emilio Zagheni
Data Science at the New York Times (April 15, 2019 4:00pm) https://events.umich.edu/event/62827 62827-15477379@events.umich.edu Event Begins: Monday, April 15, 2019 4:00pm
Location: West Hall
Organized By: Michigan Institute for Data Science

Abstract: The Data Science group at The New York Times develops and deploys machine learning solutions to newsroom and business problems. Re-framing real-world questions as machine learning tasks requires not only adapting and extending models and algorithms to new or special cases but also sufficient breadth to know the right method for the right challenge. I’ll first outline how unsupervised, supervised, and reinforcement learning methods are increasingly used in human applications for description, prediction, and prescription, respectively. I’ll then focus on the ‘prescriptive’ cases, showing how methods from the reinforcement learning and causal inference literatures can be of direct impact in engineering, business, and decision-making more generally.

Bio: At Columbia, Chris is a founding member of the executive committee of the Data Science Institute, the Department of Systems Biology, and is affiliated faculty in Statistics. He is a co-founder and co-organizer of hackNY (http://hackNY.org), a nonprofit which since 2010 has organized once a semester student hackathons and the hackNY Fellows Program, a structured summer internship at NYC startups. Prior to joining the faculty at Columbia he was a Courant Instructor at NYU (1998-2001) and earned his PhD at Princeton University (1993-1998) in theoretical physics. He is a Fellow of the American Physical Society and is a recipient of Columbia’s Avanessians Diversity Award.

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Workshop / Seminar Wed, 03 Apr 2019 13:04:51 -0400 2019-04-15T16:00:00-04:00 2019-04-15T17:00:00-04:00 West Hall Michigan Institute for Data Science Workshop / Seminar Chris Wiggins, PhD
Winter 2020 Walk-in Advising! (April 17, 2019 1:00pm) https://events.umich.edu/event/63011 63011-15534811@events.umich.edu Event Begins: Wednesday, April 17, 2019 1:00pm
Location: Weiser Hall
Organized By: Center for Global and Intercultural Study

Don’t wait until the September 15th deadline, join CGIS & Newnan Advising Center for a walk-in advising event to discuss Winter 2020 CGIS applications.

Before you leave for the summer, come and find out how studying abroad can fit into your degree plan, learn about scholarships and financial aid, and more!

Popcorn & punch will be provided!

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Meeting Wed, 10 Apr 2019 11:21:24 -0400 2019-04-17T13:00:00-04:00 2019-04-17T16:00:00-04:00 Weiser Hall Center for Global and Intercultural Study Meeting PHOTO
Robotics Seminar - Fast computations of multi-contact behaviors: models and learning (May 1, 2019 2:00pm) https://events.umich.edu/event/63303 63303-15634621@events.umich.edu Event Begins: Wednesday, May 1, 2019 2:00pm
Location: Lurie Robert H. Engin. Ctr
Organized By: Michigan Robotics

Ludovic Righetti leads the Machines in Motion Laboratory, where his research focuses on the planning and control of movements for autonomous robots, with a special emphasis on legged locomotion and manipulation. He is more broadly interested in questions at the intersection of decision making, automatic control, optimization, applied dynamical systems and machine learning and their application to physical systems.

Righetti studied at the Ecole Polytechnique Fédérale de Lausanne (Switzerland) where he received an engineering diploma in Computer Science (eq. M.Sc.) in 2004 and a Doctorate in Science in 2008 under the supervision of Professor Auke Ijspeert. Between March 2009 and August 2012, he was a postdoctoral fellow at the Computational Learning and Motor Control Lab with Professor Stefan Schaal (University of Southern California). In September 2012 he started the Movement Generation and Control Group at the Max-Planck Institute for Intelligent Systems in Tübingen, Germany where he became a W2 Independent Research Group Leader in September 2015. He moved to New York University in September 2017.

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Lecture / Discussion Mon, 22 Apr 2019 09:05:21 -0400 2019-05-01T14:00:00-04:00 2019-05-01T15:00:00-04:00 Lurie Robert H. Engin. Ctr Michigan Robotics Lecture / Discussion bipedal robot
20th International Conference on Integer Programming and Combinatorial Optimization (Day 1) (May 22, 2019 8:00am) https://events.umich.edu/event/63313 63313-15636677@events.umich.edu Event Begins: Wednesday, May 22, 2019 8:00am
Location: East Hall
Organized By: U-M Industrial & Operations Engineering

The 20th Conference on Integer Programming and Combinatorial Optimization (IPCO XX) will take place from May 22–24, 2019 at the University of Michigan, in Ann Arbor, Michigan, USA. It will be organized by the Department of Industrial & Operations Engineering.

The conference will be preceded by a Summer school (May 20-21).

The IPCO conference is under the auspices of the Mathematical Optimization Society. It is held every year, except for those in which the International Symposium on Mathematical Programming takes place. The conference is a forum for researchers and practitioners working on various aspects of integer programming and combinatorial optimization. The aim is to present recent developments in theory, computation, and applications in these areas.

Registration is now open.

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Conference / Symposium Wed, 24 Apr 2019 09:49:38 -0400 2019-05-22T08:00:00-04:00 2019-05-22T18:00:00-04:00 East Hall U-M Industrial & Operations Engineering Conference / Symposium IPCO conference symbol