Tag Archives: data

U-M startup analyzes data from patient imaging files to help cure what ails them

By | April 17, 2019

A U-M startup has figured out how to mine and analyze Big Data from digital medical image files such as X-rays, MRIs, and CT scans that could make treatment choices incredibly precise for each patient. Based in Ann Arbor, Applied Morphomics Inc. uses technology developed at the U-M Medical School to extract thousands of digital biomarkers from a… Read More »

University researchers examine how data science can interpret music

By | April 8, 2019

Last week, students and professors conducted live research in Hill Auditorium during a musical performance and informational presentation before nearly 200 community members. James Kibbie, chair of the School of Music, Theatre & Dance Organ Department, and Daniel Forger, professor of mathematics, received a grant from the Michigan Institute for Data Science to collaborate on the analysis of… Read More »

Colleges are banding together digitally to help students succeed. Here’s how.

By | April 5, 2019

James Hilton, dean of libraries and vice provost for academic innovation at U-M, was featured in a recent article in “The Chronicle of Higher Education” about the impact and growth of Unizin, a non-profit consortium of research universities dedicated to improving learner experiences with digital teaching and learning resources. Unizin offers members up-to-date shared learning platforms and digital… Read More »

Michigan Medicine to host national data and analytics conference

Share your expertise, creative solutions, and new ideas at the Healthcare Data & Analytics Association (HDAA) 2019 Annual Conference in October! This year’s conference theme is “The Art of Data & Analytics.” Submit your idea for a presentation, poster, roundtable, or panel by April 2. HDAA is a volunteer-led organization focused on sharing the most current data and… Read More »

Healthcare and Big Data

By | March 20, 2019

Jenna Wiens, an assistant professor of electrical engineering and computer science, leads the Machine Learning for Data-Driven Decisions research group. Her work focuses on developing the computational methods needed to help organize, process, and transform patient data into actionable knowledge. The Institute for Healthcare Policy & Innovation recently interviewed Wiens about her research and its practical implications for… Read More »

A2 Data Dive March 23

By | March 19, 2019

Date: Sat, 03/23/2019, noon to 5:30 p.m. Location: North Quad 2255 An afternoon-long data “hackathon” that brings together novice and experienced data scientists to help local non-profits become more effective. The A2 Data Dive will start at noon with an introduction and lunch. Participants will then break out in teams and work together on the data for the rest… Read More »

U-M launches health study using Apple Watch

By | March 15, 2019

Consumers are increasingly turning to wearable devices to learn more about everything from their heart rate to sleep quality. Yet, the question remains: what can all of this data tell us about people’s overall health? U-M has launched a study to discover if data collected on Apple Watch, combined with other health information, can provide insight into health,… Read More »

Event Recap: Academic Innovation Data Showcase

By | February 22, 2019

On February 14, Academic Innovation hosted the first ever Academic Innovation Data Showcase. The event was created to make the ongoing research at Academic Innovation more accessible to the U-M community. More than 90 attendees from across the university, and a few visitors from other institutions, attended the inaugural event. “By putting the focus on data we were… Read More »

2019 HEDW Conference registration is now open!

By | February 20, 2019

The U-M ITS/Information Quest Team (IQ) is hosting the 16th Annual HEDW 2019 Conference right here in Ann Arbor, April 14-17, 2019, at the Ann Arbor Sheraton on Boardwalk. The Higher Education Data Warehousing Forum (HEDW) is a community of higher education representatives dedicated to sharing knowledge about data management, best practices, data warehousing designs, institutional reporting strategies,… Read More »

Michigan Research Cores database aids U-M science researchers

By | February 19, 2019

U-M is full of rich core resources, but they are often challenging to find. The new Michigan Research Cores web portal enables researchers to easily find and identify the location and capabilities of 70 research cores across campus. Cores are centralized facilities or labs that offer services, equipment, resources and expertise on a recharge basis to scientific researchers.… Read More »

Data for Public Good Symposium Feb. 19

By | February 13, 2019

From understanding the influence of congressional members’ Twitter accounts to discussing why the global crude oil price rose again after 2016, the second annual Data for Public Good Symposium will showcase the unique ways in which students, faculty, staff and community members have analyzed and assessed data to benefit others. The conference takes place 10 a.m.-4:30 p.m. Feb.… Read More »

Built by humans. Ruled by computers.

By | February 7, 2019

MiDAS, an algorithm-based administration and fraud collection system implemented by the state of Michigan, ran without human intervention between 2013 and 2015. During that time, it accused about 50,000 Michiganders of unemployment fraud. A 2017 review by the state found that more than 90 percent of those accusations were false. A growing number of people have been harmed… Read More »

LSA research museums go digital

By | February 7, 2019

In September, 2018, the university completed the move of more than 20 million museum specimens from its zoology, paleontology, and anthropology collections to a state-of-the-art collections and research facility on Varsity Drive. Not as well known, however, is that a second large move was occurring at the same time—this one digital. LSA Technology Services team members John Torgersen… Read More »

More light needed on medical ‘shadow’ records

By | February 5, 2019

Official medical records are protected by strict privacy laws. But everyone who wears a fitness tracker, uses a health app, shops online, searches the internet for health information, or posts about their health creates a “shadow record” of that data. A team led by U-M researchers Nicholson Price and Kayte Spector-Bagdady reviewed current laws and regulations surrounding these… Read More »

Learning Analytics & Data Services publishes year-end report

The ITS Learning Analytics & Data Services team is happy to share its year-end report (PDF) with the Michigan IT Community. LAADS achieved several milestones in 2018: Delivered the initial phase of the Unizin Data Platform Piloted My Learning Analytics in collaboration with faculty from the School of Information and School of Education Data Concierge services fulfilled 15… Read More »

CSCAR offers free workshops starting in January 2019

By | December 13, 2018

Beginning in January of 2019, Consulting for Statistics, Computing and Analytics Research (CSCAR) will offer most of its workshops free of charge to U-M students, faculty, and staff. CSCAR is able to do this thanks to funding from U-M’s Data Science Initiative. Registration for workshops is still required, and seats are limited. CSCAR requests that participants please cancel their… Read More »

Dearborn moves to MiBackup solution

A cross-campus collaboration that moved UM-Dearborn to UM-Ann Arbor ITS’s MiBackup system has resulted in significant cost savings, increased efficiency, and reduced work effort. At the end of 2017, Dearborn’s primary server backup system had reached capacity. After consulting with Ann Arbor ITS, Dearborn ITS created a plan to migrate its failing backups over to the MiBackup service… Read More »

Taking on the limits of computing power

By | December 6, 2018

The emerging field of genomic analysis is on the cusp of revolutionizing the understanding of diseases and the methods for their treatment and prevention. However, current DNA analysis is restricted to using limited data due to the large time and cost for Whole Genome Sequencing (WGS), restricting progress. As biochemical sequencing is getting faster and cheaper, the bottleneck… Read More »