ASA Symposium on Data Science & Statistics

By |

SAVE THE DATE FOR SDSS 2018!

Beyond Big Data: Leading the Way

The ASA’s newest conference, the Symposium on Data Science & Statistics, will take place in Reston, Virginia, May 16-19, 2018. The symposium is designed for data scientistscomputer scientists, and statisticians analyzing and visualizing complex data.

The annual SDSS will combine data science and statistical machine learning with the historical strengths of the Interface Foundation of North America (IFNA) in computational statistics, computing science, and data visualization. It will continue the IFNA’s tradition of excellence by providing an opportunity for researchers and practitioners to share knowledge and establish new collaborations.

Offering sessions centered on the following six topic areas:
Data Science                                            Data Visualization
Machine Learning                                  Computing Science
Computational Statistics                      Applications

Key Dates:
December 5, 2017 – Contributed and E-Poster Online Abstract Submission Opens
January 18, 2018 – Contributed and E-Poster Online Abstract Submission Closes
February 1, 2018 – Conference Registration Opens

CHEPS Seminar: Sung Won Choi, MD, MS, University of Michigan

By |

Sung Won Choi, MD, MS

Associate Professor, Pediatrics

Inaugural Edith S. Briskin / Shirley K Schlafer Research Professor of Pediatrics

Michigan Medicine

The University of Michigan

 

“Multi-dimensional, Highly Time-resolved Big Data Approach for Disease Prevention”

Abstract: Individualized prediction of disease (and disease‐related events) is a major unmet challenge, yet is essential for realizing the full potential of personalized medicine. Underlying the prediction problem is the fact that disease processes, and the human hosts in which they occur, represent complex dynamical systems comprised of large numbers of components that interact in non‐linear ways over time. A key insight from complexity science is that accurate long‐term prediction in such systems is usually not feasible, but short‐term predictions can be successful if multi‐parameter, highly time‐resolved data can be collected and integrated using computational methods. Complex science indicates that prediction of disease needs to be done on an ongoing basis, in near “real‐time”, because complex dynamical processes tend to proceed non‐linearly. There are “windows of opportunity” when signal begins to exceed background noise and the disease process is early enough for intervention to be successful. Please join Dr. Choi as she discusses how she and her collaborators, including Dr. Wiens (Computer Science/Machine Learning), Dr. Tewari (Medical Oncology), Dr. Kurabayashi (Mechanical Engineering), and Dr. Li (Computational Biology) are using the blood and marrow transplantation setting as an ideal model system to prototype such an approach for disease prediction that is consistent with the highly complex nature of human disease.

Bio: Sung Won Choi, MD, MS trained as a pediatric resident at New York University and later as a fellow in pediatric hematology‐oncology at the University of Michigan. Through an NIH K23 award, Sung received additional training in Clinical Research Design and Statistical Analysis through the University of Michigan School of Public Health. She is currently an Associate Professor in the Department of Pediatrics, and in 2017, she was named the inaugural Edith S. Briskin / Shirley K Schlafer Research Professor of Pediatrics. Sung specializes in the field of blood and marrow transplantation (BMT) and is recognized for her work in translating the use of histone deacetylase inhibition in BMT patients for prevention of a devastating complication known as graft-versus‐host disease (GVHD). She enjoys translatitional research initiatives that include the use of novel, non‐steroidal therapeutics both in the prevention and treatment of GVHD. Her research efforts focus on: 1) providing an improved understanding of clinical BMT through translation of experimental studies 2) exploring clinical outcomes in BMT patients alongside laboratory correlates; and 3) leveraging novel tools, such as information technology, to support patient‐ and caregiver‐centered care in her clinical and translational research efforts in BMT.

The seminar series “Providing Better Healthcare through Systems Engineering” is presented by the U‐M Center for Healthcare Engineering and Patient Safety (CHEPS): Our mission is to improve the safety and quality of healthcare delivery through a multi‐disciplinary, systems‐engineering approach.

The National Academies Webinar Series: Data Science Undergraduate Education

By |

Webinar

 

REGISTRATION

Webinar Series: Data Science Undergraduate Education

Join the National Academies of Sciences, Engineering, and Medicine for a webinar series on undergraduate data science education. Webinars will take place on Tuesdays from 3-4pm ET starting on September 12 and ending on November 14. See below for the list of dates and themes for each webinar.

This webinar series is part of an input-gathering initiative for a National Academies study on Envisioning the Data Science Discipline: The Undergraduate Perspective. Learn more about the study, read the interim report, and share your thoughts with the committee on the study webpage at nas.edu/EnvisioningDS.

Webinar speakers will be posted as they are confirmed on the webinar series website.

Webinar Dates and Topics

•    9/12/17 – Building Data Acumen
•    9/19/17 – Incorporating Real-World Applications
•    9/26/17 – Faculty Training and Curriculum Development
•    10/3/17 – Communication Skills and Teamwork
•    10/10/17 – Inter-Departmental Collaboration and Institutional Organization
•    10/17/17 – Ethics
•    10/24/17 – Assessment and Evaluation for Data Science Programs
•    11/7/17 – Diversity, Inclusion, and Increasing Participation
•    11/14/17 – Two-Year Colleges and Institutional Partnerships

All webinars take place from 3-4pm ET. You will have the option to register for the entire webinar series or for individual webinars.

The National Academies Webinar Series: Data Science Undergraduate Education

By |

Webinar

 

REGISTRATION

Webinar Series: Data Science Undergraduate Education

Join the National Academies of Sciences, Engineering, and Medicine for a webinar series on undergraduate data science education. Webinars will take place on Tuesdays from 3-4pm ET starting on September 12 and ending on November 14. See below for the list of dates and themes for each webinar.

This webinar series is part of an input-gathering initiative for a National Academies study on Envisioning the Data Science Discipline: The Undergraduate Perspective. Learn more about the study, read the interim report, and share your thoughts with the committee on the study webpage at nas.edu/EnvisioningDS.

Webinar speakers will be posted as they are confirmed on the webinar series website.

Webinar Dates and Topics

•    9/12/17 – Building Data Acumen
•    9/19/17 – Incorporating Real-World Applications
•    9/26/17 – Faculty Training and Curriculum Development
•    10/3/17 – Communication Skills and Teamwork
•    10/10/17 – Inter-Departmental Collaboration and Institutional Organization
•    10/17/17 – Ethics
•    10/24/17 – Assessment and Evaluation for Data Science Programs
•    11/7/17 – Diversity, Inclusion, and Increasing Participation
•    11/14/17 – Two-Year Colleges and Institutional Partnerships

All webinars take place from 3-4pm ET. You will have the option to register for the entire webinar series or for individual webinars.

U-M partners with Cavium on Big Data computing platform

By | Feature, General Interest, Happenings, HPC, News

A new partnership between the University of Michigan and Cavium Inc., a San Jose-based provider of semiconductor products, will create a powerful new Big Data computing cluster available to all U-M researchers.

The $3.5 million ThunderX computing cluster will enable U-M researchers to, for example, process massive amounts of data generated by remote sensors in distributed manufacturing environments, or by test fleets of automated and connected vehicles.

The cluster will run the Hortonworks Data Platform providing Spark, Hadoop MapReduce and other tools for large-scale data processing.

“U-M scientists are conducting groundbreaking research in Big Data already, in areas like connected and automated transportation, learning analytics, precision medicine and social science. This partnership with Cavium will accelerate the pace of data-driven research and opening up new avenues of inquiry,” said Eric Michielssen, U-M associate vice president for advanced research computing and the Louise Ganiard Johnson Professor of Engineering in the Department of Electrical Engineering and Computer Science.

“I know from experience that U-M researchers are capable of amazing discoveries. Cavium is honored to help break new ground in Big Data research at one of the top universities in the world,” said Cavium founder and CEO Syed Ali, who received a master of science in electrical engineering from U-M in 1981.

Cavium Inc. is a leading provider of semiconductor products that enable secure and intelligent processing for enterprise, data center, wired and wireless networking. The new U-M system will use dual socket servers powered by Cavium’s ThunderX ARMv8-A workload optimized processors.

The ThunderX product family is Cavium’s 64-bit ARMv8-A server processor for next generation Data Center and Cloud applications, and features high performance custom cores, single and dual socket configurations, high memory bandwidth and large memory capacity.

Alec Gallimore, the Robert J. Vlasic Dean of Engineering at U-M, said the Cavium partnership represents a milestone in the development of the College of Engineering and the university.

“It is clear that the ability to rapidly gain insights into vast amounts of data is key to the next wave of engineering and science breakthroughs. Without a doubt, the Cavium platform will allow our faculty and researchers to harness the power of Big Data, both in the classroom and in their research,” said Gallimore, who is also the Richard F. and Eleanor A. Towner Professor, an Arthur F. Thurnau Professor, and a professor both of aerospace engineering and of applied physics.

Along with applications in fields like manufacturing and transportation, the platform will enable researchers in the social, health and information sciences to more easily mine large, structured and unstructured datasets. This will eventually allow, for example, researchers to discover correlations between health outcomes and disease outbreaks with information derived from socioeconomic, geospatial and environmental data streams.

U-M and Cavium chose to run the cluster on Hortonworks Data Platform, which is based on open source Apache Hadoop. The ThunderX cluster will deliver high performance computer services for the Hadoop analytics and, ultimately, a total of three petabytes of storage space.

“Hortonworks is excited to be a part of forward-leading research at the University of Michigan exploring low-powered, high-performance computing,” said Nadeem Asghar, vice president and global head of technical alliances at Hortonworks. “We see this as a great opportunity to further expand the platform and segment enablement for Hortonworks and the ARM community.”

MDST – NFL Free Agency Value Prediction Competition Kick-Off – Nov. 9, 6pm

By | Data, Data sets, Educational, Events, Happenings, MDSTPosts, MDSTProjects, News

In this competition, student teams at the University of Michigan will use historical free agent data to predict the value of new contracts signed in the 2018 free agency period. These predictions will be evaluated against the actual contracts as they are signed. This competition is organized by the Michigan Data Science Team (MDST), in collaboration with the Baltimore Ravens and the Michigan Sports Analytics Society (MSAS).  Food will be provided. This is an initial kick-off meeting of the competition.

RSVP

Date, Time

Thursday, November 9 at 6:00 PM EST to Thursday, November 9 at 7:00 PM EST
Add To Google Calendar | iCal/Outlook

Location

Weiser Hall 10th Floor Auditorium
500 Church St, 48104, MI

Host

Michigan Data Science Team

 

 

The National Academies Webinar Series: Data Science Undergraduate Education

By |

Webinar

 

REGISTRATION

Webinar Series: Data Science Undergraduate Education

Join the National Academies of Sciences, Engineering, and Medicine for a webinar series on undergraduate data science education. Webinars will take place on Tuesdays from 3-4pm ET starting on September 12 and ending on November 14. See below for the list of dates and themes for each webinar.

This webinar series is part of an input-gathering initiative for a National Academies study on Envisioning the Data Science Discipline: The Undergraduate Perspective. Learn more about the study, read the interim report, and share your thoughts with the committee on the study webpage at nas.edu/EnvisioningDS.

Webinar speakers will be posted as they are confirmed on the webinar series website.

Webinar Dates and Topics

•    9/12/17 – Building Data Acumen
•    9/19/17 – Incorporating Real-World Applications
•    9/26/17 – Faculty Training and Curriculum Development
•    10/3/17 – Communication Skills and Teamwork
•    10/10/17 – Inter-Departmental Collaboration and Institutional Organization
•    10/17/17 – Ethics
•    10/24/17 – Assessment and Evaluation for Data Science Programs
•    11/7/17 – Diversity, Inclusion, and Increasing Participation
•    11/14/17 – Two-Year Colleges and Institutional Partnerships

All webinars take place from 3-4pm ET. You will have the option to register for the entire webinar series or for individual webinars.

The National Academies Webinar Series: Data Science Undergraduate Education

By |

Webinar

 

REGISTRATION

Webinar Series: Data Science Undergraduate Education

Join the National Academies of Sciences, Engineering, and Medicine for a webinar series on undergraduate data science education. Webinars will take place on Tuesdays from 3-4pm ET starting on September 12 and ending on November 14. See below for the list of dates and themes for each webinar.

This webinar series is part of an input-gathering initiative for a National Academies study on Envisioning the Data Science Discipline: The Undergraduate Perspective. Learn more about the study, read the interim report, and share your thoughts with the committee on the study webpage at nas.edu/EnvisioningDS.

Webinar speakers will be posted as they are confirmed on the webinar series website.

Webinar Dates and Topics

•    9/12/17 – Building Data Acumen
•    9/19/17 – Incorporating Real-World Applications
•    9/26/17 – Faculty Training and Curriculum Development
•    10/3/17 – Communication Skills and Teamwork
•    10/10/17 – Inter-Departmental Collaboration and Institutional Organization
•    10/17/17 – Ethics
•    10/24/17 – Assessment and Evaluation for Data Science Programs
•    11/7/17 – Diversity, Inclusion, and Increasing Participation
•    11/14/17 – Two-Year Colleges and Institutional Partnerships

All webinars take place from 3-4pm ET. You will have the option to register for the entire webinar series or for individual webinars.

2017 MIDAS Symposium

By |

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 are available at: http://midas.umich.edu/2017-symposium/

The National Academies Webinar Series: Data Science Undergraduate Education

By |

Webinar

 

REGISTRATION

Webinar Series: Data Science Undergraduate Education

Join the National Academies of Sciences, Engineering, and Medicine for a webinar series on undergraduate data science education. Webinars will take place on Tuesdays from 3-4pm ET starting on September 12 and ending on November 14. See below for the list of dates and themes for each webinar.

This webinar series is part of an input-gathering initiative for a National Academies study on Envisioning the Data Science Discipline: The Undergraduate Perspective. Learn more about the study, read the interim report, and share your thoughts with the committee on the study webpage at nas.edu/EnvisioningDS.

Webinar speakers will be posted as they are confirmed on the webinar series website.

Webinar Dates and Topics

•    9/12/17 – Building Data Acumen
•    9/19/17 – Incorporating Real-World Applications
•    9/26/17 – Faculty Training and Curriculum Development
•    10/3/17 – Communication Skills and Teamwork
•    10/10/17 – Inter-Departmental Collaboration and Institutional Organization
•    10/17/17 – Ethics
•    10/24/17 – Assessment and Evaluation for Data Science Programs
•    11/7/17 – Diversity, Inclusion, and Increasing Participation
•    11/14/17 – Two-Year Colleges and Institutional Partnerships

All webinars take place from 3-4pm ET. You will have the option to register for the entire webinar series or for individual webinars.