MIDAS Fellow, Arya Farahi, publishes manuscript on how the age of Dark Matter halos govern their content.

By | News, Research
Dark Matter halos are the most massive gravitationally bound objects in our Universe. These halos host the majority of baryonic matter in the Universe in the form of hot gas and cold stellar phase. Determining how baryons are partitioned into these phases is challenging and requires detailed modeling of galaxy formation and their assembly history. By employing a suite of cosmological simulations, Farahi et al. show that formation time of the same mass halos is strongly correlated with their gas and stellar content. This implies that formation time is one of the key factors that governs the content and form of the Baryons within the dark matter halos. Incorporating this information has the potential to improve our understanding of the fundamental physics of our Universe using galaxy cluster abundance and allows us to gain insight into the matter evolution within these systems.
Read more on the publication here:

Rada Mihalcea named ACM Fellow

By | Research

Rada Mihalcea, has been named a Fellow of the Association for Computing Machinery (ACM).  ACM Fellows comprise an elite group that represents less than 1% of the Association’s global membership.  This distinction recognizes those with far-reaching accomplishments that define the digital age.

MIDAS affiliated faculty, Brian Athey, Jun Li, and Bill Currie earn the lifetime distinction of AAAS Fellow

By | Research

443 leading scientists are elected in 2019 as Fellows of the American Association for the Advancement of Science (AAAS), in honor of their invaluable contributions to science and technology.  U-M leads the way with 22 elected Fellows, including three MIDAS faculty members:

Brian Athey, Computational Medicine and Bioinformatics

Bill Currie, School for Environment and Sustainability

Jun Li, Computational Medicine and Bioinformatics

MIDAS faculty Yuanfang Guan and GuanLab member Xianghao Chen won first prize in the 2019 DDI National Data Science Challenge

By | Research

The 2019 Discover Innovate Impact (DII) National Data Science Challenge winning teams were recently announced and the GuanLab Team (Yuanfang Guan and Xianghao Chen) won the Task 1, Sepsis Onset Prediction prize.  This was a national data science challenge established to advance human health through machine learning hosted by The University of Texas (UTHealth) School of Biomedical Informatics, sponsored by Cerner Corporation, and powered by AWS.  Congratulations to GuanLab Team!

MIDAS Director, H.V. Jagadish, and affiliated faculty Levenstein and Hampshire, awarded NSF grant for data equity

By | News, Research

View video on data ethics.  

 

U-M receives $2M NSF grant to explore data equity systems

By Alex Piazza
apiazza@umich.edu

Data science is an important tool that can help researchers tackle important societal challenges ranging from mobility and health to public safety and education.

But data science techniques and technologies also pose enormous potential for harm by reinforcing inequity and leaking private information. As a result, many sensitive datasets are restricted from research use, impeding progress in areas that impact society.

The University of Michigan, with a $2 million grant from the National Science Foundation (NSF), plans to establish a framework for a national institute that would enable research using sensitive data, while preventing misuse and misinterpretation.

“Data science has proven time and time again to be an invaluable resource when addressing emerging challenges and opportunities in areas of broad potential impact,” said H.V. Jagadish, director of the Michigan Institute for Data Science. “But having access to information comes with a great deal of responsibility, so our first priority is to ensure data science is not misused to disproportionately harm underrepresented groups.”

U-M researchers will partner with colleagues at New York University and the University of Washington over the next two years to deploy new techniques and technologies that enable responsible data science, while establishing an interdisciplinary community focused on the study, design, deployment and assessment of equitable data systems.

Equity is an important facet of data science that NSF aims to strengthen in the coming years, as the federal agency partners with universities such as U-M to enable new modes of data-driven discovery that will transform the frontiers of science and engineering.

The centerpiece of its ongoing effort, called Harnessing the Data Revolution at NSF, is the development of national institutes that address multidisciplinary problems in big data. U-M will help lay the groundwork for developing these institutes, which will eventually serve as a point of convergence for researchers from multiple disciplines to share expertise and address pressing challenges in data science.

“Information is being gathered about all of us, from our Google searches and online purchases to property tax records and social media activity,” said Margaret Levenstein, director of the Inter-university Consortium for Political and Social Research at U-M, which maintains the world’s oldest and largest archive of research and instructional data for the social and behavioral sciences. “You would assume the usage of data to be accurate and fair, but that is not always the case. That is why building a framework is so important because, in order for us to harness the enormous potential of big data, we need to ensure equity and privacy.”

H.V. Jagadish (U-M) is the principal investigator on this grant. Robert Hampshire (U-M), Bill Howe (UW), Margaret Levenstein (U-M) and Julia Stoyanovich (NYU) are co-principal investigators.

 

MIDAS core faculty, Dr. Robert Hampshire, leads a team of MIDAS faculty to receive NSF Convergence Accelerator grant

By | News, Research

Dr. Robert Hampshire, MIDAS core faculty and Associate Professor of Public Policy at the Ford School, and his team, receives nearly $1 million in funding from the National Science Foundation’s Convergence Accelerator.  The team leaders also include MIDAS faculty members Carol Flannagan, H.V. Jagadish and Margaret Levenstein.  Read more at http://fordschool.umich.edu/news/2019/hampshire-receives-national-science-foundation-convergence-accelerator-grant.

MIDAS affiliated faculty, Dr. Mike Cafarella, receives funding from NSF’s Convergence Accelerator in Harnessing the Data Revolution

By | News, Research

MIDAS affiliated faculty and Associate Professor in Computer Science and Engineering, Dr. Mike Cafarella, receives funding from the National Science Foundation, in its program of Convergence Accelerator in Harnessing the Data Revolution.  This project, “Simultaneous Knowledge Network Programming and Extraction”, is a direct result of his team’s project funded by MIDAS.  Read more at https://www.nsf.gov/od/oia/convergence-accelerator/index.jsp.

 

https://cse.engin.umich.edu/stories/nsf-grant-supports-new-system-for-gathering-structuring-data-with-ease