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Presented By: Michigan Institute for Data Science

AI in Science and Engineering Summer Academy 2023

MIDAS Summer Academies 2023

AI in Science and Engineering AI in Science and Engineering
AI in Science and Engineering
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Registration is now closed.

Thursday Aug. 10 – Friday Aug. 11
In-person at U-M Ann Arbor campus

For more information, please visit our event page here:

Our summer academies equip researchers with the essential skills required to apply advanced data science techniques to their respective fields of study and integrate these methodologies into their grant proposals. The overarching objective of these academies is to foster a research community that can drive the advancement of data science applications in a wide range of research fields.

Academy Topics

Bayesian inferencing through exact and approximate techniques.
Real world applications and explanations of Natural Language Processing.
Causal inferencing and how to use it in various problem scenarios.
Introduction to probablistic programming languages.
Various explainable AI techniques and explorations of their applications.


Expertise in various statistical and AI techniques, including explainable AI, Bayesian inferencing, natural language processing, causal inferencing and real world applications of each
Networking with instructors and fellow participants
Certificate of completion attesting to the above skills and knowledge
A set of resources for continual improvement in the various technical domains

Tuition cost:
We will send payment instructions along with acceptance decisions.

$1,000 for external participants (30% discount for U-M Alums)
Thanks to support from the University, we are able to offer a reduced price of $50 for U-M personnel and students

Registration Timeline:
Please register by June 15. Later registrants will be accepted only if spots are available.
Notification date: June 22

Cancellation Policy:
>14 days before the first day: full refund minus $50 processing fee
Cancellation between 7 and 14 days of the first day: 50% refund
Less than 7 days: no refund

Who should attend:
This academy workshop is open to all U-M and external scientists and engineers, and those from the public and private sector who are interested in learning about incorporating data science and AI into their research.

College-level math or statistics and beginner to intermediate understanding of machine learning techniques. Some coding experience is recommended.

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