Next Generation Program

MIT Skoltech Next Generation Program; 2nd call for proposals

The MIT Skoltech Next Generation Program (NGP) represents one of the new formats of MIT Skoltech collaboration and covers the whole range of academic and institution development activities. NGP seeks to establish and promote a mutually beneficial long-term bilateral collaboration in research, education and innovation between Skoltech faculty members and their MIT counterparts through the research-driven projects.

In this 2nd call for proposals, MIT and Skoltech expect to award 2 or 3 new joint projects for up to 18 months. A successful project will need to be initiated jointly by a Skoltech faculty member and an MIT faculty member or principal investigator.

The annual budget of each project will be up to 12.5 million rubles for the Skoltech portion and $130K (total costs) for the MIT one. A completed White Paper should be submitted jointly by Skoltech and MIT co-PLs by August 12, 2017. The Full Proposal submission deadline is September 15, 2017. Announcement of the selected Full Proposals will be made by October 1, 2017. For NGP inquiries please contact Ms. Karina Khapchaeva, Head of Research Initiative Office, at k.khapchaeva@skoltech.ru and/or Ms. Deliana Ernst, Assistant Director, MIT Skoltech Program at edernst@mit.edu.

Read More about Second Call for NGP Proposals requirements 

MIT Skoltech Next Generation Program; 1st Round of NGP Grants

The first call for proposals for NGP, in 2015, yielded 23 full proposals for research-driven projects that met evaluation criteria. Following reviews by a panel of nearly 80 international experts and the NGP Steering Committee, 15 proposals have been endorsed and funded.

Regulation of antitumor response via modulation of Ubr‐ubiquitin ligases in vivo

MIT PI: Daniel Anderson, Department of Chemical Engineering
SkT PI: Konstantin Piatkov, Center for Data-Intensive Biomedicine and Biotechnology 

Search and Development of New Genome Editing Tools for Biomedicine and Biotechnology

MIT PI: Feng Zhang, Department of Brain and Cognitive Sciences
SkT PI: Konstantin Severinov, Center for Data-Intensive Biomedicine and Biotechnology 

Deep Learning Tools and Algorithms for Cell Image Analysis

MIT PI's: Mark Bathe, Department of Biological Engineering; Anne Carpenter, Whitehead Institute for Biomedical Research
SkT PI: Victor Lempitsky, Center for Computational and Data-Intensive Science and Engineering

Carbon nanomaterial manufacturing platforms for interactive surfaces and smart prosthetics

MIT PI's: A. John Hart and Xuanhe Zhao, Department of Mechanical Engineering
SkT PI: Albert Nasibulin, Center for Photonics and Quantum Materials

Improved stability and performance in highly efficient lead‐free hybrid perovskite solar cells

MIT PI: Tonio Buonassisi, Department of Mechanical Engineering
SkT PI: Pavel Troshin, Center for Electrochemical Energy Storage

Polaritonics providing a paradigm shift in optoelectronics

MIT PI: Keith Adam Nelson, Department of Chemistry
SkT PI's: Natalia Berloff and Pavlos Lagoudakis, Center for Photonics and Quantum Materials

3D-printed, miniaturized Cassinian trap mass spectrometer for space research and general ambient analysis applications

MIT PI: Luis F. Velásquez‐García, Microsystems Technology Laboratories
SkT PI: Evgeny Nikolaev, Space Center

Integration and control of heat and power systems with variable loads

MIT PI: Konstantin Turitsyn, Department of Mechanical Engineering
SkT PI's: Aldo Bischi and Janusz Bialek, Center for Energy Systems

RecyBot: High-Speed Intelligent Robotic System with Computer Vision for Electronics Recycling

MIT PI: Kamal Youcef-Toumi, Department of Mechanical Engineering
SkT PI: Dzmitry Tsetserukou, Space Center

Exploring potassium-ion batteries

MIT PI: Yet-Ming Chiang, Department of Material Science and Engineering
SkT PI: Artem Abakumov, Center for Electrochemical Energy Storage

Investigations of high-temperature superconductors and other complex quantum materials

MIT PI: Nuh Gedik, Department of Physics
SkT PI: Boris Fine, Center for Photonics and Quantum Materials

High-Dimensional Uncertainty Quantification: from Component to Systems Design

MIT PI: Luca Daniel, Department of Electrical Engineering & Computer Science
SkT PI: Ivan Oseledets, Center for Computational and Data-Intensive Science and Engineering

Next Generation Fast Methods for Medical and Nanoscale Technology

MIT PI: Jacob White, Department of Electrical Engineering & Computer Science
SkT PI: Athanasios Polimeridis, Center for Computational and Data-Intensive Science and Engineering

Quantum materials for superconducting nanophotonics

MIT PI: Karl Berggren, Department of Electrical Engineering & Computer Science
SkT PI: Mikhail Skvortsov, Center for Photonics and Quantum Materials

Machine Learning Elastic Strain Engineering

MIT PI: Ju Li, Department of Nuclear Science and Engineering
SkT PI: Alexander Shapeev, Center for Computational and Data-Intensive Science and Engineering