MIDAS Seminar

Name: Implementing AI in Health
Start: 2023-04-17T08:30:00-04:00
End: 2023-04-17T16:00:00-04:00
Location: Great Lakes Room, Palmer Commons

Events
MIDAS Seminar

February 2016

February 5, 2016 @ 4:00 pm

Data in Motion Phenotyping: From the Intensive Care Unit to the Home

February 19, 2016 @ 4:00 pm

Personalizing Education at Scale

March 2016

March 24, 2016 @ 4:00 pm

Michael Jordan – MIDAS Seminar

April 2016

April 1, 2016 @ 4:00 pm

Structure and Function in Complex Networks

April 8, 2016 @ 4:00 pm

Natural Language Processing for Collective Discourse

December 2016

December 16, 2016 @ 4:00 pm

Lifelong Machine Learning

January 2017

January 6, 2017 @ 4:00 pm

On Data-Driven Creativity

January 13, 2017 @ 4:00 pm

The Potential of On-Demand Mobility: Lessons from System Analysis and Data Visualization

January 27, 2017 @ 4:00 pm

Human-Centered Computing: Using Speech to Understand Behavior

February 2017

February 3, 2017 @ 4:00 pm

Sequential change-point detection over dynamic networks

February 17, 2017 @ 4:00 pm

From Model T to Waymo: Cars have gotten better – has transportation data science?

February 24, 2017 @ 4:00 pm

The Shape of Data

March 2017

March 9, 2017 @ 4:00 pm

Probablistic Topic Models and User Behavior

March 10, 2017 @ 4:00 pm

Learning Human Preferences and Perceptions From Data

March 17, 2017 @ 4:00 pm

Findig Low-Rank Structure in Messy Data

April 2017

April 7, 2017 @ 4:00 pm

Data and Analytics: Emerging trends and opportunities at Ford Motor Company

April 21, 2017 @ 4:00 pm

Inferring, Summarizing and Mining Large-scale Graph Data

September 2017

September 22, 2017 @ 4:00 pm

Sparse Signal Recovery in Bilinear Inverse Problems

October 2017

October 20, 2017 @ 4:00 pm

Statistical Models for Analyzing Dynamic Social Network Data

November 2017

November 10, 2017 @ 4:00 pm

Probabilistic Graphical Models and Online Learning

November 17, 2017 @ 4:00 pm

Why Data Science Needs Curation and Why Curation Needs Data Science

December 2017

December 1, 2017 @ 5:00 pm

Closing the Loop Between Mind and Machine: Building Algorithms to Interface With Brains at Multiple Scales

December 8, 2017 @ 4:00 pm

Bits through Sensors: Bounds on Classification and Learning Performance via Information Content

January 2018

January 9, 2018 @ 4:00 pm

Information-Theoretic Approaches to Neural Network Compression, Clustering and Concept Learning

January 12, 2018 @ 4:00 pm

Larger, Faster, Random(ized): Computing in the Era of Big Data

January 19, 2018 @ 4:00 pm

Baseball Umpire Calls as a Naturally Occurring Data Source for Revealing Principles of Bias and Learning in Perceptual Judgments

January 26, 2018 @ 4:00 pm

Geometries of Word Embeddings

February 2018

February 2, 2018 @ 4:00 pm

Data Science at Columbia University

February 16, 2018 @ 4:00 pm

Building Scalable Machine Learning Solutions for Data Curation

March 2018

March 9, 2018 @ 4:00 pm

Data and Decision Science for Mobility Services

March 16, 2018 @ 4:00 pm

Technology, The Science of Learning, and Transformation in Higher Education

March 23, 2018 @ 4:00 pm

Increasing the Utility of Machine Learning in Clinical Care

March 30, 2018 @ 11:00 am

Protecting Security and Privacy of Connected & Automated Cars

April 2018

April 6, 2018 @ 4:00 pm

Sparsity and Decomposition in Semidefinite Optimization

April 13, 2018 @ 4:00 pm

Parameter Bounds Under Misspecified Models and Some Perspectives for Data Science and Learning

April 18, 2018 @ 4:30 pm

The power of bias and what to do about it

May 2018

May 16, 2018 @ 4:00 pm

Prediction Machines: The Simple Economics of Artificial Intelligence

September 2018

September 21, 2018 @ 4:00 pm

The Enigmatic Kime: Time Complexity in Data Science

September 28, 2018 @ 4:00 pm

Statistical models for analyzing dynamic social network data

October 2018

October 5, 2018 @ 4:00 pm

New methods for detecting natural selection in large samples of genetic data

October 12, 2018 @ 4:00 pm

Determine the Number of States in Hidden Markov Models via Marginal Likelihood

October 26, 2018 @ 4:00 pm

The Promise of Crowdsourcing for Natural Language Processing and Other Data Sciences

November 2018

November 2, 2018 @ 4:00 pm

Two-Step Estimation and Inference with Possibly Many Included Covariates

November 16, 2018 @ 4:00 pm

Reliable evidence from health care data: lessons from the Observational Health Data Sciences and Informatics (OHDSI) collaborative

November 30, 2018 @ 4:00 pm

Person Specific Temporal Networks: Accuracy, Dynamics, and Emojis 😕

January 2019

January 11, 2019 @ 4:00 pm

How to Make Causal Inferences Using Texts

January 18, 2019 @ 4:00 pm

Information Extraction from Online Text from Opinions to Arguments to Persuasion

January 25, 2019 @ 4:00 pm

Quantify Systematics from Mislabeled Tables in Supervised Learning

February 2019

February 1, 2019 @ 4:00 pm

What Can Tweets Tell Us About Public Opinions? Uncovering the Data Generating Process by Linking Twitter Data with Surveys

February 22, 2019 @ 4:00 pm

Leveraging Information Theory to Practical Machine Learning: Minimum Description Length Regularization for Online Learning

March 2019

March 1, 2019 @ 4:00 pm

Matrix Completion in Network Analysis

March 15, 2019 @ 4:00 pm

Infusing Structure into Machine Learning Algorithms

March 22, 2019 @ 4:00 pm

Scalable Bayesian Inference With Hamilton Monte Carlo

April 2019

April 5, 2019 @ 4:00 pm

Making Connections: Data Science Approaches to Understanding Mood and Cognition in the Modern Er

April 15, 2019 @ 4:00 pm

Data Science at The New York Times

August 2019

August 2, 2019 @ 2:00 pm

statistical Methods for Flexible Differential Analysis of Cross-Sample Single-Cell RNA-Seq Datasets

September 2019

September 16, 2019 @ 3:30 pm - 4:30 pm

Predictive Analytics in Healthcare: From Anomaly Detection to Development of Clinical Decision Systems

Vandenberg Room, Michigan League 911 N. University, Ann Arbor, MI, United States

September 16, 2019 @ 3:30 pm - 4:30 pm

The Strength of Long-Range Ties

Vandenberg Room, Michigan League 911 N. University, Ann Arbor, MI, United States

September 23, 2019 @ 3:30 pm - 4:30 pm

Benchmarking at Scale: Comparing Analysis Workflows for Single-Cell Genomic Data

Weiser Hall 500 Church Street, Ann Arbor, MI, United States

September 30, 2019 @ 3:30 pm - 4:30 pm

Are you a researcher looking for genetic and clinic data? Do you need assistance in data analysis?

Hussey Room, Michigan League 911 N. University, Ann Arbor, MI - Michigan, United States

October 2019

October 14, 2019 @ 3:30 pm - 4:30 pm

PCS Framework, Interpretable Machine Learning, and Deep Neural Networks

Weiser Hall 500 Church Street, Ann Arbor, MI, United States

October 21, 2019 @ 3:30 pm - 4:30 pm

Learning & Exploiting Low-Dimensional Structure in High-Dimentional Data

340 West Hall 1085 S. University Ave., Ann Arbor, Michigan

October 28, 2019 @ 3:30 pm - 4:30 pm

Constructing Tumor-Specific Gene Regulatory Networks Based on Samples with Tumor Purity Heterogeneity

340 West Hall 1085 S. University Ave., Ann Arbor, Michigan

November 2019

November 18, 2019 @ 3:30 pm - 4:30 pm

How Powerful Are Graph Neural Networks?

Weiser Hall 500 Church Street, Ann Arbor, MI, United States

November 19, 2019 @ 2:00 am - 3:00 pm

Quantifying Cell Type-Specific Changes in Transcriptional State and Gene Co-Regulation Across Multiple Datasets Using SCRANA-SEQ

Forum Hall, Palmer Commons 100 Washtenaw Avenue, Ann Arbor, MI, United States

November 25, 2019 @ 3:30 pm - 4:30 pm

Bias in Search and Recommenders Systems

Weiser Hall 500 Church Street, Ann Arbor, MI, United States

December 2019

December 2, 2019 @ 3:30 pm - 4:30 pm

Word Embeddings: What Works, What Doesn’t, and How to Tell the Difference for Applied Research

340 West Hall 1085 S. University Ave., Ann Arbor, Michigan

February 2020

February 17, 2020 @ 3:30 pm - 4:30 pm

How Language Makes Us Smart (Without Big Data)

340 West Hall 1085 S. University Ave., Ann Arbor, Michigan

February 24, 2020 @ 3:30 pm - 4:30 pm

Is It Possible to Democratize AI for Business

340 West Hall 1085 S. University Ave., Ann Arbor, Michigan

April 2020

April 16, 2020 @ 12:00 pm - 1:30 pm

A Data Scientist Plays Games

Remote/Virtual

July 2020

July 8, 2020 @ 1:00 pm - 2:00 pm

A Scalable Tool for Longitudinal Twitter Analysis

July 15, 2020 @ 1:00 pm - 2:00 pm

A Mobile/wearable Platform for Collecting Data on Sleep and Circadian Rhythms in the Time of COVID

July 21, 2020 @ 1:00 pm - 2:00 pm

MIDAS Reproducibility Challenge Showcase: #5

July 28, 2020 @ 1:00 pm - 2:00 pm

MIDAS Reproducibility Challenge Showcase: #6

July 28, 2020 @ 1:00 pm - 2:00 pm

MIDAS Reproducibility Challenge Showcase: Sharon Glotzer – An Open Software Approach for Reproducible Research for Materials Design

July 29, 2020 @ 4:30 pm - 5:30 pm

“Is AI Racist?”

August 2020

August 4, 2020 @ 1:00 pm - 2:00 pm

MIDAS Reproducibility Challenge Showcase

August 31, 2020 @ 4:00 pm - 5:00 pm

Beyond Algorithmic Fairness: What Social Justice Needs from Data Science

September 2020

September 14, 2020 @ 2:00 pm - 5:00 pm

MIDAS Reproducibility Day

September 28, 2020 @ 8:00 am - 5:00 pm

Data Science and Politics

November 2020

November 10, 2020 @ 9:00 am - 5:00 pm U-M Data Science Annual Symposium 2020

U-M Data Science Annual Symposium 2020

Remote/Virtual

November 11, 2020 @ 9:00 am - 5:00 pm U-M Data Science Annual Symposium 2020

U-M Data Science Annual Symposium 2020

Remote/Virtual

September 2021

September 27, 2021 @ 4:00 pm - 5:00 pm

AI for Sustainable Development

Remote/Virtual

October 2021

October 4, 2021 @ 4:00 pm - 5:00 pm

Supervised Machine Learning: Applications, Opportunities, and Challenges in Banking with a Focus on Interpretability

Remote/Virtual

October 11, 2021 @ 4:00 pm - 5:00 pm

Lecture by Mahlet (Milly) Zimeta

Remote/Virtual

October 25, 2021 @ 4:00 pm - 5:00 pm

Explainability for Neural Text Classifiers

Remote/Virtual

November 2021

November 1, 2021 @ 4:00 pm - 5:00 pm

Towards robust, interpretable, and fair social and public health interventions

Remote/Virtual

November 22, 2021 @ 4:00 pm - 5:00 pm

Towards Usability, Transparency, and Trust for Data-Driven Discovery

140 Lorch Hall 611 Tappan Street, Ann Arbor, MI, United States

November 29, 2021 @ 4:00 pm - 5:00 pm

Lecture by Yong Chen

Remote/Virtual

December 2021

December 6, 2021 @ 4:00 pm - 5:00 pm

Race-Aware Algorithms: Fairness, Nondiscrimination, and Affirmative Action

Remote/Virtual

December 13, 2021 @ 4:00 pm - 5:00 pm

Beyond the First Portrait of a Black Hole

Remote/Virtual

April 2023

April 3, 2023 @ 9:00 am - 5:00 pm

AI in Science & Engineering Day

Forum Hall, Palmer Commons 100 Washtenaw Avenue, Ann Arbor, MI, United States

April 13, 2023 @ 1:30 pm - 5:30 pm

Responsible Data Science and AI mini-symposium

Rackham 4th floor Amphitheater 915 E. Washington Street, Ann Arbor, MI, United States

April 17, 2023 @ 8:30 am - 4:00 pm

Implementing AI in Health

Great Lakes Room, Palmer Commons 100 Washtenaw Avenue, Ann Arbor, MI, United States