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      in Energy

      Inaugural fund supports early-stage collaborations between MIT and Jordan

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      MIT International Science and Technology Initiatives (MISTI), together with the Abdul Hameed Shoman Foundation (AHSF), the cultural and social responsibility arm of the Arab Bank, recently created a new initiative to support collaboration with the Middle East. The MIT-Jordan Abdul Hameed Shoman Foundation Seed Fund is providing awardees with financial grants up to $30,000 to cover travel, meeting, and workshop expenses, including in-person visits to build cultural and scientific connections between MIT and Jordan. MISTI and AHSF recently celebrated the first round of awardees in a virtual ceremony held in Amman and the United States.

      The new grant is part of the Global Seed Funds (GSF), MISTI’s annual grant program that enables participating teams to collaborate with international peers, either at MIT or abroad, to develop and launch joint research projects. Many of the projects funded lead to additional grant awards and the development of valuable long-term relationships between international researchers and MIT faculty and students.

      Since MIT’s first major collaboration in the Middle East in the 1970s, the Institute has deepened its connection and commitment to the region, expanding to create the MIT-Arab World program. The MIT-Jordan Abdul Hameed Shoman Foundation Seed Fund enables the MIT-Arab World program to move forward on its key objectives: build critical cultural and scientific connections between MIT and the Arab world; develop a cadre of students who have a deep understanding of the Middle East; and bring tangible value to the partners in the region.

      Valentina Qussisiya, CEO of the foundation, shared the importance of collaboration between research institutes to improve and advance scientific research. She highlighted the role of AHSF in supporting science and researchers since 1982, emphasizing, “The partnership with MIT through the MISTI program is part of AHSF commitment toward this role in Jordan and hoped-for future collaborations and the impact of the fund on science in Jordan.”

      The new fund, open to both Jordanian and MIT faculty, is available to those pursuing research in the following fields: environmental engineering; water resource management; lean and modern technologies; automation; nanotechnology; entrepreneurship; nuclear engineering; materials engineering; energy and thermal engineering; biomedical engineering, prostheses, computational neuroscience, and technology; social and management sciences; urban studies and planning; science, technology, and society; innovation in education; Arabic language automation; and food security and sustainable agriculture.

      Philip S. Khoury, faculty director of MISTI’s MIT-Arab World program and Ford International Professor of History and associate provost at MIT, explained that the winning projects all deal with critical issues that will benefit both MIT and Jordan, both on- and off-campus. “Beyond the actual faculty collaboration, these projects will bring much value to the hands-on education of MIT and Jordanian students and their capacity to get to know one another as future leaders in science and technology,” he says.

      This year, the MIT-Jordan Abdul Hameed Shoman Foundation Seed Fund received numerous high-quality proposals. Applications were reviewed by MIT and Jordanian faculty and selected by a committee of MIT faculty. There were six winning projects in the inaugural round:

      Low-Cost Renewable-Powered Electrodialysis Desalination and Drip Irrigation: Amos Winter (MIT principal investigator) and Samer Talozi (international collaborator)

      iPSC and CRISPR Gene Editing to Study Rare Diseases: Ernest Fraenkel (MIT principal investigator) and Nidaa Ababneh (international collaborator)

      Use of Distributed Low-Cost Sensor Networks for Air Quality Monitoring in Amann: Jesse Kroll (MIT principal investigator) and Tareq Hussein (international collaborator)

      Radiation Effects on Medical Devices Made by 3D Printing: Ju Li (MIT principal investigator) and Belal Gharaibeh (international collaborator)

      Superprotonic Conductivity in Metal-Organic Frameworks for Proton-Exchange Membrane Fuel Cells: Mircea Dinca (MIT principal investigator) and Kyle Cordova (international collaborator)

      Mapping Urban Air Quality Using Mobile Low-cost Sensors and Geospatial Techniques: Sarah Williams (MIT principal investigator) and Khaled Hazaymeh (international collaborator)

      The goal of these funded projects is for researchers and their students to form meaningful professional partnerships across cultures and leave a lasting impact upon the scientific communities in Jordan and at MIT.

      “[The fund will] enhance the future career prospects of emerging scholars from both countries,” said awardee Professor Kyle Cordova, executive director for scientific research at Royal Scientific Society and assistant to Her Royal Highness Princess Sumaya bint El Hassan for scientific affairs. “Our young scholars will gain a unique perspective of the influence of different cultures on scientific investigation that will help them to function effectively in a multidisciplinary and multicultural environment.” More

    • 138 Shares189 Views

      in Security

      A new way to detect the SARS-CoV-2 Alpha variant in wastewater

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      Researchers from the Antimicrobial Resistance (AMR) interdisciplinary research group at the Singapore-MIT Alliance for Research and Technology (SMART), MIT’s research enterprise in Singapore, alongside collaborators from Biobot Analytics, Nanyang Technological University (NTU), and MIT, have successfully developed an innovative, open-source molecular detection method that is able to detect and quantify the B.1.1.7 (Alpha) variant of SARS-CoV-2. The breakthrough paves the way for rapid, inexpensive surveillance of other SARS-CoV-2 variants in wastewater.

      As the world continues to battle and contain Covid-19, the recent identification of SARS-CoV-2 variants with higher transmissibility and increased severity has made developing convenient variant tracking methods essential. Currently, identified variants include the B.1.17 (Alpha) variant first identified in the United Kingdom and the B.1.617.2 (Delta) variant first detected in India.

      Wastewater surveillance has emerged as a critical public health tool to safely and efficiently track the SARS-CoV-2 pandemic in a non-intrusive manner, providing complementary information that enables health authorities to acquire actionable community-level information. Most recently, viral fragments of SARS-CoV-2 were detected in housing estates in Singapore through a proactive wastewater surveillance program. This information, alongside surveillance testing, allowed Singapore’s Ministry of Health to swiftly respond, isolate, and conduct swab tests as part of precautionary measures.

      However, detecting variants through wastewater surveillance is less commonplace due to challenges in existing technology. Next-generation sequencing for wastewater surveillance is time-consuming and expensive. Tests also lack the sensitivity required to detect low variant abundances in dilute and mixed wastewater samples due to inconsistent and/or low sequencing coverage.

      The method developed by the researchers is uniquely tailored to address these challenges and expands the utility of wastewater surveillance beyond testing for SARS-CoV-2, toward tracking the spread of SARS-CoV-2 variants of concern.

      Wei Lin Lee, research scientist at SMART AMR and first author on the paper adds, “This is especially important in countries battling SARS-CoV-2 variants. Wastewater surveillance will help find out the true proportion and spread of the variants in the local communities. Our method is sensitive enough to detect variants in highly diluted SARS-CoV-2 concentrations typically seen in wastewater samples, and produces reliable results even for samples which contain multiple SARS-CoV-2 lineages.”

      Led by Janelle Thompson, NTU associate professor, and Eric Alm, MIT professor and SMART AMR principal investigator, the team’s study, “Quantitative SARS-CoV-2 Alpha variant B.1.1.7 Tracking in Wastewater by Allele-Specific RT-qPCR” has been published in Environmental Science & Technology Letters. The research explains the innovative, open-source molecular detection method based on allele-specific RT-qPCR that detects and quantifies the B.1.1.7 (Alpha) variant. The developed assay, tested and validated in wastewater samples across 19 communities in the United States, is able to reliably detect and quantify low levels of the B.1.1.7 (Alpha) variant with low cross-reactivity, and at variant proportions down to 1 percent in a background of mixed SARS-CoV-2 viruses.

      Targeting spike protein mutations that are highly predictive of the B.1.1.7 (Alpha) variant, the method can be implemented using commercially available RT-qPCR protocols. Unlike commercially available products that use proprietary primers and probes for wastewater surveillance, the paper details the open-source method and its development that can be freely used by other organizations and research institutes for their work on wastewater surveillance of SARS-CoV-2 and its variants.

      The breakthrough by the research team in Singapore is currently used by Biobot Analytics, an MIT startup and global leader in wastewater epidemiology headquartered in Cambridge, Massachusetts, serving states and localities throughout the United States. Using the method, Biobot Analytics is able to accept and analyze wastewater samples for the B.1.1.7 (Alpha) variant and plans to add additional variants to its analysis as methods are developed. For example, the SMART AMR team is currently developing specific assays that will be able to detect and quantify the B.1.617.2 (Delta) variant, which has recently been identified as a variant of concern by the World Health Organization.

      “Using the team’s innovative method, we have been able to monitor the B.1.1.7 (Alpha) variant in local populations in the U.S. — empowering leaders with information about Covid-19 trends in their communities and allowing them to make considered recommendations and changes to control measures,” says Mariana Matus PhD ’18, Biobot Analytics CEO and co-founder.

      “This method can be rapidly adapted to detect new variants of concern beyond B.1.1.7,” adds MIT’s Alm. “Our partnership with Biobot Analytics has translated our research into real-world impact beyond the shores of Singapore and aid in the detection of Covid-19 and its variants, serving as an early warning system and guidance for policymakers as they trace infection clusters and consider suitable public health measures.”

      The research is carried out by SMART and supported by the National Research Foundation (NRF) Singapore under its Campus for Research Excellence And Technological Enterprise (CREATE) program.

      SMART was established by MIT in partnership with the National Research Foundation of Singapore (NRF) in 2007. SMART is the first entity in CREATE developed by NRF. SMART serves as an intellectual and innovation hub for research interactions between MIT and Singapore, undertaking cutting-edge research projects in areas of interest to both Singapore and MIT. SMART currently comprises an Innovation Center and five IRGs: AMR, Critical Analytics for Manufacturing Personalized-Medicine, Disruptive and Sustainable Technologies for Agricultural Precision, Future Urban Mobility, and Low Energy Electronic Systems.

      The AMR interdisciplinary research group is a translational research and entrepreneurship program that tackles the growing threat of antimicrobial resistance. By leveraging talent and convergent technologies across Singapore and MIT, AMR aims to develop multiple innovative and disruptive approaches to identify, respond to, and treat drug-resistant microbial infections. Through strong scientific and clinical collaborations, its goal is to provide transformative, holistic solutions for Singapore and the world. More