The International Fair (iFair) is the flagship annual event of the International Students Association (ISA), held every spring at MIT. Celebrating global diversity, iFair brings together over 50 international and cultural clubs to share the richness of their traditions, heritage, and creativity. From vibrant booths offering food, art, and interactive experiences to live performances including music, dance, martial arts, and a colorful fashion show, iFair transforms campus into a cultural mosaic. With thousands of attendees each year, iFair is a celebration of community, identity, and the many cultures that call MIT home.

A 50 minute, (usually) student-led tour of MIT D-Lab, D-Lab prototypes, and our workshop! Hear about the 23-year history of D-Lab, our founding director Amy Smith, our 12+ MIT classes, research groups, humanitarian innovation program and more! Not free at tour time? Stop by anytime to look around or email d-lab-tours@mit.edu.

Have some fun(nel) on a tunnel or sun(nel) walk! Join us for a 30-minute volunteer-led walk either through MIT’s famous tunnel system or around Killian Court. As the weather gets warmer, walk leaders may choose to take the group outside. Is the weather warm and you missed the start? Find the group on Killian Court and join in!Sun(nel) Walk Leaders will identify themselves by holding a white flag at the meeting location.Location details: Meet in the atrium by the staircase. [See image below]Prize Drawing: Attend a walk and scan a QR code from the walk leaders to be entered into a drawing for a getfit canvas boat tote bag at the end of the getfit challenge. The more walks you attend, the more entries you get. Winner will be drawn and notified at the end of April. Winner does not need to be a getfit participant.Disclaimer: Tunnel walks are led by volunteers. In the rare occasion when a volunteer isn’t able to make it, we will do our best to notify participants. In the event we are unable to notify participants and a walk leader does not show up, we encourage you to walk as much as you feel comfortable doing so. We recommend checking this calendar just before you head out.Getfit is a 12-week fitness challenge for the entire MIT community. These tunnel walks are open to the entire MIT community and you do not need to be a current getfit participant to join.

We are recruiting undergraduate students to present posters about their BE-related research projects in our symposium for a 60-minute time slot. As a participant, you will learn how to design and pitch your poster from the BE Communication Lab, and have your poster printed for free by BE-IT.You’ll have the opportunity to discuss your work with the fabulous folks who make up our department while enjoying free food and drinks (not to mention, symposium presentations always strengthen a CV). Oh, and those who present the best posters will be awarded prizes! What’s not to love?If you are interested, talk to your research advisor, and sign up here.

Book: Morning and Evening by Jon Fosse.All are welcome, even if you haven't read the book. Feel free to bring your own tea or coffee and enjoy a great conversation with fellow book lovers.If you are interested in joining the discussion, please email this.is.jemma.koo@gmail.com.

Date/Time: Friday April 25, 2-4pm ESTIn-person location: 46-6011 (Simons Center for the Social Brain)Zoom link: https://mit.zoom.us/j/3188129440Title: Multi-Object Working Memory and Motion Prediction in the Primate BrainAbstract:Primates excel at rapid learning and flexible generalization in many domains. For example, we can learn how to drive a car after just a few hours of practice, then readily generalize when driving an unfamiliar car. Rapid learning and flexible generalization are thought to rely on a reusable mental model of the world in terms of objects and how objects move. However, the mechanisms by which the brain represents scenes of objects and predicts their motion are largely mysterious. To address this knowledge gap, we studied (i) how the brain represents multi-object scenes, and (ii) how the brain predicts the motion of an object through time. For both of these questions, we considered long-standing cognitive theories and tested these theories in neural data, namely neural activity recorded from monkeys trained on multi-object representation and prediction tasks. In this defense I will present the outcomes of this work, focusing primarily on the neural mechanisms of motion prediction.