MIDAS Seminar

Dec 1

5:00 pm

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

Dec 8

4:00 pm

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

Jan 9

4:00 pm

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

Jan 12

4:00 pm

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

Jan 19

4:00 pm

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

Jan 26

4:00 pm

Geometries of Word Embeddings

Feb 2

4:00 pm

Data Science at Columbia University

Feb 16

4:00 pm

Building Scalable Machine Learning Solutions for Data Curation

Mar 9

4:00 pm

Data and Decision Science for Mobility Services

Mar 16

4:00 pm

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

Mar 23

4:00 pm

Increasing the Utility of Machine Learning in Clinical Care

Mar 30

11:00 am

Protecting Security and Privacy of Connected & Automated Cars

Apr 6

4:00 pm

Sparsity and Decomposition in Semidefinite Optimization

Apr 13

4:00 pm

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

Apr 18

4:30 pm

The power of bias and what to do about it

May 16

4:00 pm

Prediction Machines: The Simple Economics of Artificial Intelligence

Sep 21

4:00 pm

The Enigmatic Kime: Time Complexity in Data Science

Sep 28

4:00 pm

Statistical models for analyzing dynamic social network data

Oct 5

4:00 pm

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

Oct 12

4:00 pm

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

Oct 26

4:00 pm

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

Nov 2

4:00 pm

Two-Step Estimation and Inference with Possibly Many Included Covariates

Nov 16

4:00 pm

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

Nov 30

4:00 pm

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

Jan 11

4:00 pm

How to Make Causal Inferences Using Texts

Jan 18

4:00 pm

Information Extraction from Online Text from Opinions to Arguments to Persuasion

Jan 25

4:00 pm

Quantify Systematics from Mislabeled Tables in Supervised Learning

Feb 1

4:00 pm

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

Feb 22

4:00 pm

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

Mar 1

4:00 pm

Matrix Completion in Network Analysis

Mar 15

4:00 pm

Infusing Structure into Machine Learning Algorithms

Mar 22

4:00 pm

Scalable Bayesian Inference With Hamilton Monte Carlo

Apr 5

4:00 pm

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

Apr 15

4:00 pm

Data Science at The New York Times

Aug 2

2:00 pm

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

Sep 16

3:30 pm - 4:30 pm

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

Sep 16

3:30 pm - 4:30 pm

The Strength of Long-Range Ties

Sep 23

3:30 pm - 4:30 pm

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

Sep 30

3:30 pm - 4:30 pm

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

Oct 14

3:30 pm - 4:30 pm

PCS Framework, Interpretable Machine Learning, and Deep Neural Networks

Oct 21

3:30 pm - 4:30 pm

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

Oct 28

3:30 pm - 4:30 pm

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

Nov 18

3:30 pm - 4:30 pm

How Powerful Are Graph Neural Networks?

Nov 19

2:00 am - 3:00 pm

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

Nov 25

3:30 pm - 4:30 pm

Bias in Search and Recommenders Systems

Dec 2

3:30 pm - 4:30 pm

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

Feb 17

3:30 pm - 4:30 pm

How Language Makes Us Smart (Without Big Data)

Feb 24

3:30 pm - 4:30 pm

Is It Possible to Democratize AI for Business

Apr 16

12:00 pm - 1:30 pm

A Data Scientist Plays Games

Jul 8

1:00 pm - 2:00 pm

A Scalable Tool for Longitudinal Twitter Analysis

Jul 15

1:00 pm - 2:00 pm

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

Jul 21

1:00 pm - 2:00 pm

MIDAS Reproducibility Challenge Showcase: #5

Jul 28

1:00 pm - 2:00 pm

MIDAS Reproducibility Challenge Showcase: #6

Jul 28

1:00 pm - 2:00 pm

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

Jul 29

4:30 pm - 5:30 pm

“Is AI Racist?”

Aug 4

1:00 pm - 2:00 pm

MIDAS Reproducibility Challenge Showcase

Aug 31

4:00 pm - 5:00 pm

Beyond Algorithmic Fairness: What Social Justice Needs from Data Science

Sep 14

2:00 pm - 5:00 pm

MIDAS Reproducibility Day

Sep 28

8:00 am - 5:00 pm

Data Science and Politics

Nov 10

9:00 am - 5:00 pm

U-M Data Science Annual Symposium 2020

Nov 11

9:00 am - 5:00 pm

U-M Data Science Annual Symposium 2020

Sep 27

4:00 pm - 5:00 pm

AI for Sustainable Development

Oct 4

4:00 pm - 5:00 pm

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

Oct 11

4:00 pm - 5:00 pm

Lecture by Mahlet (Milly) Zimeta

Oct 25

4:00 pm - 5:00 pm

Explainability for Neural Text Classifiers

Nov 1

4:00 pm - 5:00 pm

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

Nov 22

4:00 pm - 5:00 pm

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

Nov 29

4:00 pm - 5:00 pm

Lecture by Yong Chen

Dec 6

4:00 pm - 5:00 pm

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

Dec 13

4:00 pm - 5:00 pm

Beyond the First Portrait of a Black Hole

Apr 3

9:00 am - 5:00 pm

AI in Science & Engineering Day

Apr 13

1:30 pm - 5:30 pm

Responsible Data Science and AI mini-symposium

Apr 17

8:30 am - 4:00 pm

Implementing AI in Health

Apr 19

3:30 pm - 4:30 pm

Data and AI in Society Forum Series: Generative AI, Composition, and Creativity

May 16

9:00 am - 5:00 pm

From Theory to Practice: Building Ethical and Trustworthy AI

Jun 1

1:00 pm - 2:30 pm

NSF Priorities and Opportunities for Data Science and AI

Aug 23

1:00 pm - 2:30 pm

Generative AI in the Lab | Generative AI Coast-to-Coast Series

Aug 28

1:00 pm - 2:30 pm

Conversations on Policy, Ethics, and Generative AI | Generative AI Coast-to-Coast Series

Aug 31

3:00 pm - 4:30 pm

An Under the Hood Look at Generative AI: Potentials and Pitfalls | Generative AI Coast-to-Coast Series

Sep 12

2:30 pm - 4:30 pm

NSF Priorities and Opportunities for Data Science and AI

Sep 15

8:30 am - 5:00 pm

MIDAS mini-symposium | Generative AI: Diffusion Models for Scientific Machine Learning

Sep 21

6:00 pm - 7:00 pm

Why a Privacy First Approach to Technology Policy is better than a Censorship First Approach

Sep 26

9:00 am - 4:00 pm

AI for Medical Imaging

Oct 2

9:00 am - 12:00 pm

Generative AI Tutorials | Writing, Planning and Literature Review: Enhancing Professional Productivity with Generative AI

Oct 18

9:30 am - 12:00 pm

Generative AI Tutorials | Code Smarter, Not Harder: Harnessing Generative AI for Research Programming Efficiency

Oct 20

8:30 am - 5:00 pm

MIDAS mini-symposium | AI-driven Research Workflows

Oct 27

9:00 am - 11:30 am

Generative AI Tutorials | Integrating Generative Image AI into Your Research Workflow

Nov 13

8:30 am - 5:30 pm

MIDAS Annual Data Science & AI Summit 2023

Nov 14

8:30 am - 1:00 pm

MIDAS Annual Data Science & AI Summit 2023

Nov 29

2:30 pm - 4:30 pm

Generative AI Tutorials | Making Generative AI Better for You: Fine-tuning and Experimentation for Custom Research Solutions

Dec 6

1:30 pm - 4:30 pm

Rewriting Conventional Societal Narratives with Data and AI

Mar 5

8:30 am - 5:00 pm

Technology Meets Creativity: A Workshop on AI and Creative Arts

Mar 18

8:00 am - 5:00 pm

MIDAS Symposium | The AI in Science and Engineering annual symposium

Mar 19

8:00 am - 5:00 pm

MIDAS Symposium | The AI in Science and Engineering annual symposium

Apr 8

8:30 am - 5:00 pm

Annual Ethical AI Symposium 2024

Oct 7

8:00 am - 5:00 pm

Vesuvius Scrolls: From Ancient Manuscripts to Artificial Intelligence

Oct 8

9:30 am - 12:00 pm

Vesuvius Scrolls: From Ancient Manuscripts to Artificial Intelligence

Feb 27

6:00 pm - 7:30 pm

Can AI Be Conscious, and Why Does It Matter?

Mar 18

9:00 am - 5:45 pm

MIDAS AI in Science and Engineering Symposium