Call for Applications! Apply for the Advance-CTR Mentored Research Awards. We’re funding two scholars for a two-year Mentored Research Award which includes the following benefits:

1. Mentored Research Scholars receive at least 50% protected time up to $90,000 to conduct clinical or translational research projects for two years.
2. Scholars are awarded an additional $25,000 each year specifically earmarked for education or research supplies.
3. The program provides mentoring and specialized training that prepare scholars to make significant advances in interdisciplinary strategies devoted to clinical and translational research.

About the Mentored Research Awards

The Mentored Research Awards target early-career investigators who are planning on applying for career-development awards (NIH K awards or equivalent) and launch independent research careers. Awardees receive protected time for research all within a structured, 2-year mentorship program.

Key Dates & Deadlines

• November 17, 2022: Last day to schedule calls with leadership
• November 29, 2022: Preliminary applications due
• February 6, 2023: Invited, full proposals due

The anticipated performance period is August 1, 2023 to July 31, 2025.

Application Resources

Don’t go at it alone. Our Application Resources Page has information on scheduling a call with our program leadership to discuss your questions, two examples from investigators who have successfully applied to the program and other application resources.

Carney Methods Meetup: Closed loop fMRI

Join the Carney Institute for Brain Science for a Carney Methods Meetup featuring Elizabeth Lorenc, staff scientist in the Brown Behavior and Neuroimaging Core (BNC), who will discuss providing neurofeedback through closed-loop fMRI, and related resources available through the BNC. Carney Methods Meetups are informal gatherings focused on methods for brain science, moderated by Jason Ritt, Carney’s scientific director of quantitative neuroscience. Videos and notes from previous Meetups are available on the [Carney Institute website](https://www.brown.edu/carney/news-events/carney-methods-meetups).

Please note: Authenticated Brown IDs are required to join the Zoom.

Michael P. O’Hara, Chair of the Wargaming Department at the U.S. Naval War College, will present a talk, “The Theory of the Game: Computational Power and Human Decision Making.”

Abstract: This talk explores the application of technology to aid human decision making in the context of war games and simulations. For decades, increasing computational power and the availability of data have promised to improve timely analyses and aid decisions in the complex context of war. Yet, for all its benefit, technology misapplied can obscure the mechanisms of human decision. To the victorious Admiral Nimitz reflecting on World War II, the analog war games of the interwar period were of such value for developing the Navy’s strategic thinking that the only surprise was the kamikaze. Since 1958, efforts to apply computing to military war games have sought formulas for victory. Yet, in the complex strategic interactions of conflict, greater computational power may not support human decision makers in the ways intended without a shared understanding of the theory of the game and a thorough understanding of its purpose.

Bio: Captain Michael O’Hara serves as Chair, War Gaming Department at the U.S. Naval War College. His work focuses on strategy, decision making, and emerging technologies. He is a career naval officer with operational and leadership experience in naval aviation and naval intelligence. As a faculty member in the Department of Strategy and Policy, he was founding Director of the NWC Future Warfighting Symposium. He previously held a National Security Fellowship at Brown University’s Watson Institute for International and Public Affairs. He holds an M.A., M.Phil., and Ph.D. in Political Science from Columbia University and an M.A. in English Literature from the University of Rhode Island. He is a graduate of the U.S. Naval Academy and Naval War College.

This seminar is part of ENGN1931J – “Societal Impact of Emerging Technologies”. Host: Prof. Arto Nurmikko, School of Engineering

This is a drop-in session where CCV staff members will be available to answer questions about Brown’s research computing resources (Oscar, Stronghold, Globus) and help with any high-performance computing (HPC) issues you might have.

Speaker: Alexander Fengler , Brown University

Title: Likelihood Approximations for Bayesian Analysis of Sequential Sampling Models

Advisor: Professor Michael Frank

~ zoom link information to the meeting sent to clps all ~

If you are not a part of the CLPS Department and would like to attend, please contact the department’s graduate student coordinator at least 24 hours in advance.

Join the Carney Institute for its Brain Science External Postdoc Seminar Series, featuring Chen Ran, Ph.D., a postdoctoral fellow in the Department of Cell Biology at Harvard Medical School.

Abstract: In vivo brainstem two-photon calcium imaging analyses of sensory inputs from the internal organs reveal fundamental features of the interoceptive nervous system.

This is a drop-in session where CCV staff members will be available to answer questions about Brown’s research computing resources (Oscar, Stronghold, Globus) and help with any high-performance computing (HPC) issues you might have.

Speaker: Lakshmi Narasimhan Govindarajan, Brown University

Title: Attractor Dynamics in Large Scale Recurrent Neural Networks

Advisor: Professor Thomas Serre

~ zoom link information to the meeting sent to clps all ~

If you are not part of the CLPS Department and would like to attend, please contact the department’s graduate student coordinator at least 24 hours in advance.

Carney Conversation: The LINE AD Study

Register Here 

Join Carney’s Director Diane Lipscombe and Associate Director Chris Moore for a Carney Conversation with John Sedivy, associate dean and director of the University’s Center for the Biology of Aging, and Meghan Riddle, assistant professor of psychiatry and human behavior. They’ll explore the promising new LINE AD study which is investigating the efficacy of using nucleoside reverse transcriptase inhibitors, traditionally employed to treat HIV, to decrease age-related inflammation in the brain due to Alzheimer’s disease.

This is a drop-in session where CCV staff members will be available to answer questions about Brown’s research computing resources (Oscar, Stronghold, Globus) and help with any high-performance computing (HPC) issues you might have.

Talk Title: Sparse Deep Learning

Abstract: Sparsity is popular in statistics and machine learning, because it can avoid overfitting, speed up computations, and facilitate interpretations. In deep learning, however, the full potential of sparsity still needs to be explored. This presentation first recaps sparsity in the framework of high-dimensional statistics and then introduces sparsity-inducing methods and corresponding theory for modern deep-learning pipelines.