Jing Liu

By | Voices of Our Researchers

Dr. Jing Liu, Managing Director of the Michigan Institute for Data Science at the University of Michigan, and Dr. Sarah Stone, Executive Director of the eScience Institute at the University of Washington, join Innovators to discuss the Burgeoning and Expanding Field of Data Science.

Director’s Blog Post 1

By | Director's Blog

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Cras ut laoreet massa, a sagittis felis. Donec iaculis dolor sit amet diam tincidunt fermentum. Proin ac nulla a libero aliquam imperdiet a vel velit. Quisque est nisl, blandit id ipsum vel, consequat interdum sem. Nam a est vitae ante posuere auctor a eget nisl. Ut luctus, lacus quis aliquam placerat, mauris ligula aliquet ligula, id consequat tellus leo sit amet neque. Etiam ullamcorper quis mauris sit amet dignissim. Phasellus faucibus, lacus a efficitur sagittis, ipsum tellus euismod diam, eu porta neque lacus at justo.

Nunc est augue, interdum in finibus id, malesuada eu quam. Nam eget aliquam sem, sit amet blandit enim. Morbi sed tellus faucibus, placerat nisi quis, porta nisl. Maecenas dictum iaculis nisi, sed egestas ex tristique faucibus. Ut vehicula, nulla id tempus ultrices, nibh eros bibendum enim, nec finibus dolor mauris et diam. Quisque ullamcorper tristique ante, sit amet efficitur lacus. Aliquam placerat condimentum ligula vel dignissim. Vestibulum at urna quis nibh vulputate dictum. Donec nec felis enim. Vestibulum dui dui, dignissim ut tincidunt ac, maximus vitae quam. Integer id odio sit amet nibh rhoncus lacinia ut ac augue. Aliquam rutrum vulputate ipsum ac consequat.

Aenean dignissim lorem et dui consectetur interdum. Praesent mi elit, tincidunt eget lobortis sit amet, consectetur vitae velit. Sed arcu nibh, hendrerit vel sapien id, sagittis feugiat nulla. Fusce non faucibus mauris. Integer dignissim, eros eu semper semper, dui risus pellentesque augue, at congue massa felis vitae turpis. Donec viverra tortor a diam euismod, nec fringilla lectus gravida. Fusce in arcu commodo, egestas neque at, gravida ipsum. Quisque sed tempor diam. Praesent volutpat nisi urna, sed suscipit ipsum porta scelerisque. Vivamus vitae nisi arcu. Integer molestie nisl non blandit scelerisque. Phasellus elementum et quam vel consectetur. Donec accumsan tellus leo, eu molestie ex elementum ac. Aenean dictum quam vitae dapibus pellentesque. Quisque tempus ipsum at finibus interdum.

Nulla dapibus massa ac augue ultricies, quis tempor neque placerat. Vivamus eget molestie augue, at consequat est. Praesent mauris purus, aliquet a consequat eleifend, commodo dictum urna. Curabitur mollis neque et arcu euismod varius. Vivamus lacinia consequat turpis nec pellentesque. Vestibulum tristique eleifend ligula, sit amet volutpat nisi dictum non. Suspendisse ut dolor nec augue pellentesque luctus eget at velit. In a metus est. Praesent condimentum magna orci.

Ut at est quis nisi tempor commodo at eu metus. Donec et feugiat felis. Morbi a tortor quis nunc cursus facilisis. Ut efficitur metus nec blandit iaculis. Pellentesque laoreet in odio eget iaculis. Interdum et malesuada fames ac ante ipsum primis in faucibus. Fusce congue, elit suscipit convallis posuere, mi purus convallis mi, sit amet commodo turpis erat at velit. Vestibulum ultrices mi arcu, et vehicula ligula vestibulum et. Cras eu semper lectus, ac pellentesque magna. Nulla a nisi ligula. Proin eget diam nec augue suscipit condimentum ac non ex. Donec sed porttitor arcu, in dictum neque.

MIDAS Challenge Award lead Dr. Stephanie Teasley and collaborator Dr. Kelly discuss learning analytics, higher education and employment

By | News, Research

Based on an NSF-funded workshop, Drs. Teasley (School of Information) and Kelly discuss learning analytics goals and research priorities for the coming decade.  They report on a research agenda that would strengthen the connection between learning analytics and recognition of learner competencies. This could have a transformative impact on the relationship between higher education and employment.  The agenda will also generate significant new research questions leading to insights about learning and the data science techniques for analyzing learning.

Read more: https://repository.isls.org/bitstream/1/6848/1/Teasley%20et%20al%20RCR%20Oct2020.pdf

A MIDAS Challenge Award team, led by Stuart Soroka (Communication and Media & Political Science), works with CNN on a Sentiment Analysis about the 2020 election candidates

By | News, Research

A MIDAS Challenge Award team, led by Stuart Soroka, professor of Communication and Media & Political Science, works with CNN on a Sentiment Analysis of recalled news about the candidates for the U.S. 2020 election. The analysis shows Net Sentiment for all respondents, then each of the Democratic, Independent and Republican respondents.