Over billions of years, single-celled and simple multicellular organisms have evolved motility mechanisms particularly suited for locomotion in their fluid environment. In the past century, considerable progress has been made in understanding biological processes and fluid dynamics at various scales. In particular, locomotion strategies, from single cells to multicellular large animals in Newtonian and non-Newtonian fluids have motivated the development of new modeling frameworks and numerical methods while also leading to new bio-inspired designs for different applications. Specifically, advances in mathematical models and methods relating to fluid-structure interactions, including the method of regularized Stokeslets (MRS) and the immersed boundary (IB) method, are being highly leveraged to answer biological questions about animal interactions with their surrounding fluid.

This workshop will delve into the development and analysis of mathematical models, numerical methods, computational simulations, theoretical fluid dynamics, and the integration of biological experimental data into modeling, simulations, and data analysis. It will focus on recent and ongoing advancements in fluid-structure interactions, the development of computational libraries, and the incorporation of experimental data to improve biological predictions. Presentations and discussions will also address education, training, and topics related to encouraging participation in the mathematical sciences. A unique feature of the workshop is the inclusion of research findings in mathematical modeling within K–16 education. A special highlight of the event will be a tribute to Dr. Ricardo Cortez of Tulane University, recognizing his groundbreaking contributions to research, including the development of the Method of Regularized Stokeslets, as well as his outstanding service to the mathematics community.

The workshop will emphasize interdisciplinary research, demonstrating the critical role of mathematics and fluid dynamics in understanding biological phenomena. This will be showcased through invited talks, panel discussions, and poster presentations. Tutorials on the MRS and IB methods will provide hands-on demonstrations of how these tools and their variations can be applied to contemporary scientific challenges. Additionally, the workshop will encourage collaboration in research and training, with a particular focus on ensuring that everyone can thrive in the mathematical sciences. The workshop is also designed to promote the training and mentorship of students and early-career researchers. It will uniquely integrate research in mathematical modeling with education and facilitate discussions on promoting participation within the field.

Related Info

Over billions of years, single-celled and simple multicellular organisms have evolved motility mechanisms particularly suited for locomotion in their fluid environment. In the past century, considerable progress has been made in understanding biological processes and fluid dynamics at various scales. In particular, locomotion strategies, from single cells to multicellular large animals in Newtonian and non-Newtonian fluids have motivated the development of new modeling frameworks and numerical methods while also leading to new bio-inspired designs for different applications. Specifically, advances in mathematical models and methods relating to fluid-structure interactions, including the method of regularized Stokeslets (MRS) and the immersed boundary (IB) method, are being highly leveraged to answer biological questions about animal interactions with their surrounding fluid.

This workshop will delve into the development and analysis of mathematical models, numerical methods, computational simulations, theoretical fluid dynamics, and the integration of biological experimental data into modeling, simulations, and data analysis. It will focus on recent and ongoing advancements in fluid-structure interactions, the development of computational libraries, and the incorporation of experimental data to improve biological predictions. Presentations and discussions will also address education, training, and topics related to encouraging participation in the mathematical sciences. A unique feature of the workshop is the inclusion of research findings in mathematical modeling within K–16 education. A special highlight of the event will be a tribute to Dr. Ricardo Cortez of Tulane University, recognizing his groundbreaking contributions to research, including the development of the Method of Regularized Stokeslets, as well as his outstanding service to the mathematics community.

The workshop will emphasize interdisciplinary research, demonstrating the critical role of mathematics and fluid dynamics in understanding biological phenomena. This will be showcased through invited talks, panel discussions, and poster presentations. Tutorials on the MRS and IB methods will provide hands-on demonstrations of how these tools and their variations can be applied to contemporary scientific challenges. Additionally, the workshop will encourage collaboration in research and training, with a particular focus on ensuring that everyone can thrive in the mathematical sciences. The workshop is also designed to promote the training and mentorship of students and early-career researchers. It will uniquely integrate research in mathematical modeling with education and facilitate discussions on promoting participation within the field.

Related Info

Over billions of years, single-celled and simple multicellular organisms have evolved motility mechanisms particularly suited for locomotion in their fluid environment. In the past century, considerable progress has been made in understanding biological processes and fluid dynamics at various scales. In particular, locomotion strategies, from single cells to multicellular large animals in Newtonian and non-Newtonian fluids have motivated the development of new modeling frameworks and numerical methods while also leading to new bio-inspired designs for different applications. Specifically, advances in mathematical models and methods relating to fluid-structure interactions, including the method of regularized Stokeslets (MRS) and the immersed boundary (IB) method, are being highly leveraged to answer biological questions about animal interactions with their surrounding fluid.

This workshop will delve into the development and analysis of mathematical models, numerical methods, computational simulations, theoretical fluid dynamics, and the integration of biological experimental data into modeling, simulations, and data analysis. It will focus on recent and ongoing advancements in fluid-structure interactions, the development of computational libraries, and the incorporation of experimental data to improve biological predictions. Presentations and discussions will also address education, training, and topics related to encouraging participation in the mathematical sciences. A unique feature of the workshop is the inclusion of research findings in mathematical modeling within K–16 education. A special highlight of the event will be a tribute to Dr. Ricardo Cortez of Tulane University, recognizing his groundbreaking contributions to research, including the development of the Method of Regularized Stokeslets, as well as his outstanding service to the mathematics community.

The workshop will emphasize interdisciplinary research, demonstrating the critical role of mathematics and fluid dynamics in understanding biological phenomena. This will be showcased through invited talks, panel discussions, and poster presentations. Tutorials on the MRS and IB methods will provide hands-on demonstrations of how these tools and their variations can be applied to contemporary scientific challenges. Additionally, the workshop will encourage collaboration in research and training, with a particular focus on ensuring that everyone can thrive in the mathematical sciences. The workshop is also designed to promote the training and mentorship of students and early-career researchers. It will uniquely integrate research in mathematical modeling with education and facilitate discussions on promoting participation within the field.

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You’re invited to join the newly formed NUCATS and I.AIM Informatics and Data Science Collaborative for an afternoon of discovery, discussion, and collaboration. Hear brief opening remarks that highlight exciting informatics and data science work at Northwestern, participate in interactive conversations, and check out posters from colleagues across campus. Snacks will be provided.

Poster session
Register your poster to be included in the poster session! Early-career researchers and students, as well as experienced investigators, are encouraged to showcase their posters at the event. Previously published posters are welcome.

The deadline to register an abstract is July 21.

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Over billions of years, single-celled and simple multicellular organisms have evolved motility mechanisms particularly suited for locomotion in their fluid environment. In the past century, considerable progress has been made in understanding biological processes and fluid dynamics at various scales. In particular, locomotion strategies, from single cells to multicellular large animals in Newtonian and non-Newtonian fluids have motivated the development of new modeling frameworks and numerical methods while also leading to new bio-inspired designs for different applications. Specifically, advances in mathematical models and methods relating to fluid-structure interactions, including the method of regularized Stokeslets (MRS) and the immersed boundary (IB) method, are being highly leveraged to answer biological questions about animal interactions with their surrounding fluid.

This workshop will delve into the development and analysis of mathematical models, numerical methods, computational simulations, theoretical fluid dynamics, and the integration of biological experimental data into modeling, simulations, and data analysis. It will focus on recent and ongoing advancements in fluid-structure interactions, the development of computational libraries, and the incorporation of experimental data to improve biological predictions. Presentations and discussions will also address education, training, and topics related to encouraging participation in the mathematical sciences. A unique feature of the workshop is the inclusion of research findings in mathematical modeling within K–16 education. A special highlight of the event will be a tribute to Dr. Ricardo Cortez of Tulane University, recognizing his groundbreaking contributions to research, including the development of the Method of Regularized Stokeslets, as well as his outstanding service to the mathematics community.

The workshop will emphasize interdisciplinary research, demonstrating the critical role of mathematics and fluid dynamics in understanding biological phenomena. This will be showcased through invited talks, panel discussions, and poster presentations. Tutorials on the MRS and IB methods will provide hands-on demonstrations of how these tools and their variations can be applied to contemporary scientific challenges. Additionally, the workshop will encourage collaboration in research and training, with a particular focus on ensuring that everyone can thrive in the mathematical sciences. The workshop is also designed to promote the training and mentorship of students and early-career researchers. It will uniquely integrate research in mathematical modeling with education and facilitate discussions on promoting participation within the field.

Related Info

Over billions of years, single-celled and simple multicellular organisms have evolved motility mechanisms particularly suited for locomotion in their fluid environment. In the past century, considerable progress has been made in understanding biological processes and fluid dynamics at various scales. In particular, locomotion strategies, from single cells to multicellular large animals in Newtonian and non-Newtonian fluids have motivated the development of new modeling frameworks and numerical methods while also leading to new bio-inspired designs for different applications. Specifically, advances in mathematical models and methods relating to fluid-structure interactions, including the method of regularized Stokeslets (MRS) and the immersed boundary (IB) method, are being highly leveraged to answer biological questions about animal interactions with their surrounding fluid.

This workshop will delve into the development and analysis of mathematical models, numerical methods, computational simulations, theoretical fluid dynamics, and the integration of biological experimental data into modeling, simulations, and data analysis. It will focus on recent and ongoing advancements in fluid-structure interactions, the development of computational libraries, and the incorporation of experimental data to improve biological predictions. Presentations and discussions will also address education, training, and topics related to encouraging participation in the mathematical sciences. A unique feature of the workshop is the inclusion of research findings in mathematical modeling within K–16 education. A special highlight of the event will be a tribute to Dr. Ricardo Cortez of Tulane University, recognizing his groundbreaking contributions to research, including the development of the Method of Regularized Stokeslets, as well as his outstanding service to the mathematics community.

The workshop will emphasize interdisciplinary research, demonstrating the critical role of mathematics and fluid dynamics in understanding biological phenomena. This will be showcased through invited talks, panel discussions, and poster presentations. Tutorials on the MRS and IB methods will provide hands-on demonstrations of how these tools and their variations can be applied to contemporary scientific challenges. Additionally, the workshop will encourage collaboration in research and training, with a particular focus on ensuring that everyone can thrive in the mathematical sciences. The workshop is also designed to promote the training and mentorship of students and early-career researchers. It will uniquely integrate research in mathematical modeling with education and facilitate discussions on promoting participation within the field.

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The Open SkAI 2025 conference is the U.S. National Science Foundation and Simons Foundation-funded SkAI Institute's inaugural conference. The main aim of the conference is to enhance and generate new Astro-AI research directions. Conference themes will include: Astro-AI research across survey astronomy, from stars and transients to galaxy formation, evolution, and the dark sector. We encourage researchers from all levels to apply to attend.

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Do you need to identify a set of themes from within a large collection of text documents? If so, topic modeling can help. For example, topic modeling can be used to identify recurring themes in news articles, discover research trends in scientific publications, or analyze public sentiment across social media posts. In this workshop, you will get a high-level overview of different existing techniques used for topic modeling which focuses on modern AI-driven approaches. You will also have ample time to work through step-by-step hands-on exercises to learn how to leverage AI-based topic modeling analysis techniques using real data through Python.

Prerequisites: Basic familiarity with Python.

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The Open SkAI 2025 conference is the U.S. National Science Foundation and Simons Foundation-funded SkAI Institute's inaugural conference. The main aim of the conference is to enhance and generate new Astro-AI research directions. Conference themes will include: Astro-AI research across survey astronomy, from stars and transients to galaxy formation, evolution, and the dark sector. We encourage researchers from all levels to apply to attend.

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Do you have text data you need to classify? Are you lacking the time or money for research assistants to label a large number of examples to train a custom model? This workshop covers how to “fine-tune” an existing Large Language Model (LLM) to classify your own research text data. Fine-tuning helps you take advantage of a large model that other people with more resources and machine learning expertise already trained and use it for your project with relatively few labeled examples. That way you can accurately, reproducibly, and cost-effectively classify text data by topic, sentiment, or another concept.

Prerequisites: Basic familiarity with Python.

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