UCL Global


Recipients of 2020/21 UCL-SJTU Strategic Partner Funds

16 February 2021

Congratulations to the awardees of the first joint seed funding call from UCL and Shanghai Jiao Tong University

Shanghai Jiao Tong University campus in Xujiahui district, Shanghai

In the first UCL-Shanghai Jiao Tong University (SJTU) Strategic Partner Funds, aimed at supporting the development of collaborative research and education initiatives, eight projects were awarded funding of up to £10,000 each.

Submissions were assessed by a committee composed of members from both institutions, with UCL and SJTU contributing matching funds to support the successful proposals.

The applications focused on the mutual priorities of mitigating the impact of COVID-19 and addressing the UN Sustainable Development Goals (SDGs).

One of this year’s recipients, Dr Jie Liu (Institute of Education), said: “I feel very honoured to receive this funding together with my colleague at SJTU, Dr Xinghua (Kevin) Liu. Our project will pilot a telecollaboration platform where SJTU and UCL students can provide feedback on one another’s academic writings in an authentic cross-cultural rhetoric situation. We look forward to the exciting outcomes of the collaboration and the opportunity to strengthen links between the two universities.”

Congratulations to all the 2020/21 recipients of the UCL-SJTU Strategic Partner Funds:

Lead UCL applicantFacultyProject

Dr Tracey Clarke

Maths & Physical Sciences 

Alleviating loss mechanisms in organic photovoltaics for a clean energy future

Professor Paul Ekins

The Bartlett

Implementing the Environmental Sustainability Gap (ESGAP) framework for China and its provinces

Dr Dan Frampton

Medical Sciences 

SJTU School of Medicine and UCL COVID-19 genomics training course

Professor Andrew Hudson-Smith

The Bartlett

Remote Experiences Across Campuses & Heritage via Online University Teleportation (REACH OUT)

Dr Jie Liu

Institute of Education 

Fostering cross-cultural awareness through telecollaboration

Dr Antonio Lombardo

Maths & Physical Sciences 

Rapid on-chip COVID-19 detection using carbon-based nanomaterials field-effect transistors

Dr Parashkev Nachev

Brain Sciences 

Developing a framework for unified high-resolution oxygenation and metabolic imaging in acute stroke

Professor Nicolae-Coriolan Panoiu

Engineering Sciences

Chemical and biological sensors implemented in a topological photonics platform

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