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MICRON-NISTH Grant - Outcome

Dear Colleagues,
 

The inaugural MICRON-NISTH Responsible AI Grant was launched on 6 February and closed on 24  February 2020. Opened to the NTU academic community, this seed grant of $10,000 is awarded to each team to develop proof-of-concepts, prototypes, conceptualisations, experiments, user studies and/or other initiatives that allows progression to a next phase. Over the three weeks, we have received numerous highly interesting interdisciplinary proposals on Responsible AI. 

The following proposals are awarded $10,000 each after evaluation and comments from both  the Micron and NISTH panel, with a special grant of $5,000to the students’ proposal to further develop their ideas.

 
Proposal 1: Designing AI to Stop Disability Bias
Research Team:
Gerard Goggin (WKWSCI) – PI
Wong Meng Ee (NIE) – Co PI
Andrew Prahl (WKWSCI) – Co PI
Rafael Calvo (Imperial College) – Collaborator
 
Proposal 2: Algorithmic Justice: Rights-Based Approach to Design and Use of Artificial Intelligence
Research Team:
Althaf Marsoof (NBS) – PI
Andres Carlos Luco (SoH) - Co PI
Joty Shafiq Rayhan (SCSE)  - Collaborator
Harry Tan (NBS) – Collaborator
 
Proposal 3: Novel Dataset Benchmarking for AI-based Land Use Configuration in Singapore
Research Team:
Wen Bihan (EEE) – PI
Li Yi (SPMS) – Co PI
Wang Yi (SEC) – External Collaborator
Liu Yang (NUS) – External Collaborator
 
Proposal 4: An investigation of the Spreading Patterns of Misinformation on Social Media Surrounding the COVID-19 Outbreak in China
Research Team:
Zheng Yan (SCSE) – PI
Lu Jiahui (WKWSCI) – Co PI
 
Special Award for student proposal: Development of an interactive device for early diagnosis and prevention of long term mental health issues amongst elderly.
Research Team:
Li King Ho, Holden (Mentor)
Mohammed Adnan Azam (MAE, NTC) – PI
Kunal Mishra (SBS) – Co PI
Naseer Ahmed Khan (SCSE) – Co PI
Prithviraj Ray (MAE) – Co PI
Mak Xiu Ting Nicole (CEE, NBS) – Co PI
 
The Micron-NISTH Grant supports seed funding for interdisciplinary research on responsible AI. The grant seeks to spark ideas by leveraging both NISTH and Micron networks to support the conceptualisation, prototyping and pre-testing of problem statements.
Please join me in congratulating the successful Micron-NISTH Grant teams.  We look forward to the teams making impactful achievements from their respective projects.
 

Thank you.

Prof Vanessa Evers
Director
NTU Institute of Science and Technology for Humanity

Details of the original Grant Call can be found HERE.
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