MIT Skoltech Program Awards a Third-Year of Seed Fund Funding
The MIT Skoltech Seed Fund has awarded in excess of $900,000 in third-year Seed Grant Funding to 13 projects for 1 year. The grants are awarded to researchers from 8 MIT Departments, 2Programs, and representing 3 schools.
The call for proposals by the MIT Skoltech Seed Fund welcomed submissions for innovative projects that have the potential to benefit the development of Skoltech or the mission of the Skolkovo Foundation. This time, the call for proposal encouraged submissions of the new projects, as well as renewal applications to allow for the completion of research projects that were funded in the first round of the program. The program awarded grants to support 8 new proposals and 5 projects continued from Year one.
The third year MIT Skoltech Seed Fund awardees address a wide range of topics:
Projects Continued from Year 1
Developing Novel STING Agonists and STING Agonist Delivery Vehicles
Karl Wittrup, Department of Chemical Engineering, MIT
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Chalcogenide Photo-Ferroelectric Semiconductors for Integrated Photonics and Photovoltaics
Rafael Jaramillo, Department of Materials Science and Engineering, MIT
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Leveraging Developmental Principles for Engineering Cardiac Tissue
Laurie Boyer, Department of Biology and Biomedical Engineering, MIT
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Understanding the Power and Limitations of Generative Adversarial Networks (GANs)
Aleksander Madry, Department of Electrical Engineering & Computer Science, MIT
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Russia in the Post-Paris World: New Energy Landscape
Sergey Paltsev, MIT Energy Initiative
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New Projects
3D Printing of Photochromic Markers to Improve Identification and Coordination of Nano-Quadcopter Swarms
Stefanie Mueller, Department of Electrical Engineering & Computer Science, MIT
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Transcending Plastics: Programmable Water-based Biomaterials for Digital Fabrication
Neri Oxman, MIT Media Lab
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Statistical Optimal Transport
Philippe Rigollet, Department of Mathematics, MIT
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In Situ Corrosion/Irradiation of Steel Coatings for Liquid Lead Nuclear Reactors
Michael P. Short, Department of Nuclear Science and Engineering, MIT
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Designing Gain of Function Variants of Microcin C
Collin Stultz, Department of Electrical Engineering & Computer Science, MIT
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Collaborative Russian-U.S. Science Projects: An Analysis of Best Practices
Elizabeth Wood, School of Humantieis, Arts, and Social Sciences, MIT
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Electrochemical Proton Intercalation for Energy Efficient Neuromorphic Computing
Bilge Yildiz, Departments of Nuclear Science and Engineering and Department of Materials Science and Engineering, MIT
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Machine Learning for Quantum-Enhanced Sensors
Paola Cappellaro, Department of Nuclear Science and Engineering, MIT
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