Since its launch in 2022, the MIT Morningside Academy for Design (MAD) has supported MIT graduate college students with a fellowship, permitting recipients to pursue design analysis and initiatives whereas creating neighborhood. Pulling from completely different corners of design, they discover options in fields corresponding to sustainability, well being, structure, city planning, engineering, and social justice.
On Could 1, MAD introduced the 2024 cohort of Design Fellows on the MIT Museum.
Meet the MIT MAD 2024 Design Fellows
Video: MIT Morningside Academy for Design
Sofia Chiappero, MCP pupil within the Division of City Research and Planning and MITdesignX affiliate: Chiappero is working across the intersection of neighborhood improvement and know-how, aiming to deal with the challenges confronted by underserved communities vulnerable to displacement in Latin America. By way of a mix of social science and digital inclusion, she seeks to design a brand new method to researching human interactions and replicating them in digital settings, with the final word objective of preserving the identification of those communities and giving them visibility for resilient development.
Clemence Couteau, MBA candidate within the MIT Sloan Faculty of Administration: Couteau is tackling the rise of postpartum despair amongst U.S. moms by aiming to develop a digital resolution empowering at-risk pregnant ladies to enhance psychological well being outcomes. This includes a self-directed remedy chatbot in a cellular app, primarily based on the “ROSE” protocol.
Mateo Fernandez, MArch pupil within the Division of Structure: Fernandez explores the best way to depart from the present building trade, designing options corresponding to rising buildings with biomaterials, and deploying superior 3D printing applied sciences for constructing.
Charlotte Folinus, PhD candidate within the Division of Mechanical Engineering: Folinus creates new strategies for designing comfortable robots, utilizing these instruments to design comfortable robots for light interactions, unsure environments, and lengthy mechanical lifetimes. “I’m actually excited to be surrounded by individuals who can do issues I can’t. That is after I’m the very best model of myself. I believe that is the neighborhood I will discover right here,” she says.
Alexander Htet Kyaw, grasp’s pupil within the Division of Structure and the Division of Electrical Engineering and Pc Science and MITdesignX affiliate: Htet Kyaw’s present analysis makes use of robotic meeting, multimodal interplay, and generative AI to problem typical manufacturing and fabrication practices. He’s engaged on an AI-driven workflow that interprets design intent into tangible objects by way of robotic meeting.
Dení López PhD candidate within the Division of City Research and Planning: As a Design Fellow, López makes use of design analysis to judge and prolong the scope of Bicheeche Diidxa’, a long-standing Participatory Motion Analysis initiative for catastrophe resilience targeted on 5 Zapotec communities alongside the Los Perros River in Oaxaca, Mexico.
Caitlin Morris, PhD candidate in media arts and sciences: Morris’s analysis explores the function of multisensory influences on cognition and studying, and seeks to seek out and construct the bridges between digital and computational interfaces and hands-on, community-centered studying and educating practices.
Maxine Perroni-Scharf, PhD candidate within the Division of Electrical Engineering and Pc Science: Perroni-Scharf is presently engaged on growing methods that allow the invention and design of extremal metamaterials — 3D printed supplies that exhibit excessive properties arising not from their chemical composition, however relatively from their construction. These may be utilized to quite a lot of duties, from battery design to accessibility.
Lyle Regenwetter, PhD candidate within the Division of Mechanical Engineering: Regenwetter develops strategies to include design necessities, corresponding to security constraints and efficiency targets, into the coaching strategy of generative AI fashions.
Zane Schemmer, PhD candidate within the Division of Civil and Environmental Engineering: Schemmer’s analysis goals to attenuate the carbon footprint of the constructed surroundings by designing environment friendly buildings that take into account the provision of native supplies.