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The 2nd Annual Data for Public Good Symposium

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Do you have experience in working alongside community partners in data analysis or program evaluation? Do you want to connect with others who are using their skills for public good? National efforts from organizations such as DataKind, Data Science for Social Good, and Statistics without Borders have been expanding in recent years as more individuals recognize their potential to impact social change.  Great things can happen when individuals are empowered to dedicate time, resources, and knowledge to the pursuit of public good. Whether we work in the foreground or the background, we can all contribute to improving the lives of those around us.

Statistics in the Community (STATCOM), in collaboration with the Center for Education Design, Evaluation, and Research (CEDER) and the Community Technical Assistance Collaborative (CTAC), invite you to attend the 2nd Annual Data for Public Good Symposium hosted by the Michigan Institute for Data Science (MIDAS). The symposium will take place on Tuesday, February 19, 2019 and will showcase the many research efforts and community-based partnerships at U-M that focus on improving humanity by using data for public good. If you are interested in attending, please register here.

Schedule:
10:00 – 10:30: Registration and Networking
10:30 – 11:30: Presentations

  • Partners for Preschool: The Added Value of Learning Activities at Home During the Preschool Year, Amanda Ketner, School of Education
  • University-Community Partnership to Support Ambitious STEM Teaching: Leveraging University of Michigan expertise in education, research, and evaluation to support innovative, interactive teaching across the S.E. Michigan region and beyond, C. S. Hearn, Center for Education Design, Evaluation, and Research (CEDER)
  • Open Data Flint, Stage II, Kaneesha Wallace, MICHR
  • Research-Practice Partnerships at the Youth Policy Lab, A Foster, ISR Youth Policy Lab and School of Education
  • The LOOP Estimator: Adjusting for Covariates in Randomized Experiments, Edward Wu, Statistics

11:30 – 01:00: Lunch/Poster Session
01:00 – 02:00: Presentations

  • Barrier Busters: Unconditional Cash Transfers as a Strategy to Promote Economic Self-Sufficiency, Elise Gahan, School of Public Health
  • Implementing Trauma-Informed Care at University Libraries, Monte-Angel Richardson, School of Social Work
  • Why did the global crude oil price start to rise again after 2016?, Shin Heuk Kang, Economics
  • Poverty and economic hardship in Michigan communities: Data from the Michigan Public Policy Survey (MPPS), Natalie Fitzpatrick, Center for Local, State, and Urban Policy
  • Understanding Networks of Influence on U.S. Congressional Members’ Public Personae on Twitter, Angela Schopke, Chris Bredernitz, Caroline Hodge, School of Information

02:00 – 02:30: UM Student Organization Presentations
02:30 – 04:30: Workshop Debrief & Closing

About the Organizers: STATCOM is a community outreach organization offering the expertise of statistics graduate students – free of charge – to nonprofit governmental and community organizations. CTAC is a community-university partnership convened to serve a universal need identified by community partners around data and evaluation. CEDER is a School of Education center devoted exclusively to offering high-quality designs, evaluations, and research on teaching, learning, leadership, and policy at multiple levels of education. This symposium is part of our effort to bring together university organizations that promote similar ideals and individuals whose research provides a service for the greater good.

Questions: Please contact salernos@umich.edu.

 

 

 

 

 

MIDAS announces winners of 2018 poster competition

By | Educational, General Interest, Happenings, Research

The Michigan Institute for Data Science (MIDAS) is pleased to announce the winners of its 2018 poster competition, which is held in conjunction with the MIDAS annual symposium.

The symposium was held on Oct. 9-10, 2018, and the student poster competition had more than 60 entries. The winners, judged by a panel of faculty members, received cash prizes.

Best Overall

Arthur Endsley, “Comparing and timing business cycles and land development trends in U.S. metropolitan housing markets”

Most likely health impact

  • Yehu Chen, Yingsi Jian, Qiucheng Wu, Yichen Yang, “Compressive Big Data Analytics – CBDA: Applications to Biomedical and Health Studies”
  • Jinghui Liu, “An Information Retrieval System with an Iterative Pattern for TREC Precision Medicine”

Most likely transformative science impact

  • Prashant Rajaram, “Bingeability and Ad Tolerance: New Metrics for the Streaming Media Age”
  • Mike Ion, “Learning About the Norms of Teaching Practice: How Can Machine Learning Help Analyze Teachers’ Reactions to Scenarios?”

Most interesting methodological advancement

  • Nina Zhou and Qiucheng Wu, “DataSifter: Statistical Obfuscation of Electronic Health Records and Other Sensitive Datasets”
  • Aniket Deshmukh, “Simple Regret Minimization for Contextual Bandits”

Most likely societal impact

  • Ece Sanci, “Optimization of Food Pantry Locations to Address Food Scarcity in Toledo, OH”
  • Rohail Syed, “Human Perception of Surprise: A User Study”

Most innovative use of data

  • Lan Luo, “Renewable Estimation and Incremental Inference in Generalized Linear Models with Streaming Datasets”
  • Danaja  Maldeniya, “Psychological Response of Communities affected by Natural Disasters in Social Media”

Data-Intensive Social Science Challenge Symposium

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Data-intensive social science is one of the research focus areas that MIDAS supports with its Challenge Awards. Our long-term goal is to support this research area more broadly, using the Challenge Award projects as the starting point to build a critical mass. This symposium offers a platform for all participants to explore collaboration opportunities and aims to attract more researchers to our hub. The two Challenge Award teams will give in-depth presentations, and all participants are encouraged to submit posters on research related to data-intensive social science.

Registration | Poster submission form (Due Monday, Sept. 10)

Preliminary Schedule:

9 am: Introduction

9:05 am to 11:35 pm: Challenge Award presentations

11:35 am to 1 pm: lunch, poster session and networking (Please fill out this form to submit a poster; deadline is Monday, September 10)

1 to 2 pm: Panel discussion: the future of data-intensive social science research at U-M

  • Martha Bailey, Professor, Economics, University of Michigan
  • Sara Heller, Assistant Professor, Economics, University of Michigan
  • Matt Shapiro, Professor, Economics, University of Michigan
  • Lisa Singh, Professor, Computer Science, Georgetown University
  • Mike Traugott, Professor Emeritus, Communication Studies, Political Science, University of Michigan

Winning posters announced for MICDE 2018 Symposium

By | Events, General Interest, Happenings, News

Approximately 50 posters from post-docs and graduate students across campus entered the Poster Competition at the 2018 MICDE Symposium on March 22, 2018. We’re proud to announce the winners:

  • First Place ($500): “Modeling and Enhanced Sampling of Protein-Protein Recognition,” Yanmin Wang, Chemistry
  • Second Place ($300): “Non-Newtonian Computational Model of Thrombosis Initiation,” Sabrina Lynch, Biomedical Engineering
  • Third Place ($200): “Computational Modeling of Particle-Laden Flows,” Gregory Shallcross, Sarah Beetham, and Yuan Yao, Mechanical Engineering
  • Honorable Mention:UM/LISA: Efficient Linear and Nonlinear Guided Wave Simulation,” Hui Zhang, Aerospace Engineering
  • Honorable Mention:Temperature-Dependent Green’s Function Methods for Electronic Structure Calculations,” Alicia Welden, Chemistry
  • Honorable Mention:Non-invasive Diagnostics of Coronary Artery Disease using Machine Learning and Computational Fluid Dynamics,” Kritika Iyer, Biomedical Engineering
  • Honorable Mention:Automated Diagnosis and Prognosis System for Traumatic Brain Injury Patients with Subdural Hematoma,” Negar Farzaneh

Computation: A Pillar of Science and a Lens to the Future — the 2018 MICDE Symposium

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The Michigan Institute for Computational Discovery and Engineering 2018 Symposium will feature eminent scientists from around the world and the U-M campus. The symposium this year will show how computational science is leading the research at all scales in our lives, from the molecular level to the sky.

Visit the Symposium page for more details.

Please register if you plan to attend.

SPEAKERS


Guruduth Banavar
Chief Technology Officer
Viome


Cynthia Chestek
Assistant Professor, Biomedical Engineering and EECS
University of Michigan


Alison Marsden
Principal Investigator, Cardiovascular Biomechanics Computation Lab
Stanford University


Cleve Moler
Cofounder and Chief Mathematician
MathWorks


Raju Namburu
Chief, Computational and Information Sciences Directorate
Army Research Lab


Stephen Smith
Assistant Professor, Ecology and Evolutionary Biology
University of Michigan


Beth Wingate
Professor, Mathematics
University of Exeter

POSTER COMPETITION

The symposium will include a poster competition highlighting outstanding computational work from U-M students and postdocs. First place is awarded $500, and second and third places win $250.

2017 Single-Cell Genomic Data Analytics Symposium

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Please join us for the Single-cell Genomic Data Analytics Symposium. The day long symposium will highlight U-M researchers whose work is on the leading edge of innovation and discovery. This symposium is organized by the Michigan Center for Single-Cell Genomic Data Analytics and sponsored by the Michigan Institute for Data Science.

For more information, see the symposium webpage.

To register, please fill out this form.

 

SAVE THE DATE: MIDAS Annual Symposium, Oct. 11

By | Events, General Interest, News

Please join us for the 2017 Michigan Institute for Data Science Symposium.

The keynote speaker will be Cathy O’Neil, mathematician and best-selling author of “Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy.”

Other speakers include:

  • Nadya Bliss, Director of the Global Security Initiative, Arizona State University
  • Francesca Dominici, Co-Director of the Data Science Initiative and Professor of Biostatistics, Harvard T.H. Chan School of Public Health
  • Daniela Whitten, Associate Professor of Statistics and Biostatistics, University of Washington
  • James Pennebaker, Professor of Psychology, University of Texas

More details, including how to register, will be available soon.