interdisciplinary

NEW GLOBAL CENTERS PROGRAM AIMS TO ADDRESS CHALLENGES IN CLIMATE CHANGE AND CLEAN ENERGY

NSF has announced a new Global Centers (GC) program, an ambitious effort to fund international, interdisciplinary collaborative research centers that will apply best practices of broadening participation and community engagement to develop use-inspired research on climate change and clean energy. Centers are also expected to create and promote opportunities for students and early career researchers to gain education and training in world class research while enhancing diversity, equity, inclusion, and accessibility.

International Partnerships

Given the global scale of the challenge of responding to climate change, NSF has partnered with the Commonwealth Scientific and Industrial Research Organisation (CSIRO) in Australia, the Natural Sciences and Engineering Research Council (NSERC) and Social Science and Humanities Research Council (SSHRC) in Canada, and UK Research and Innovation (UKRI) in the United Kingdom. These international partners will fund non-U.S.-based parts of teams under one of two tracks in the program.

Program Tracks

  • Track 1: Global Center Implementation will support the first Global Centers involving research partnerships with Australia, Canada, and the United Kingdom. Awards will be up to $5 million total per award of 4-to-5-year duration. Foreign teams will be funded by their respective country agencies.Full proposals for Track 1 are due by May 10, 2023.
  • Awards will be up to $250,000 total per award of 2-year duration.The proposal window for Track 2 is between April 2, 2023 and May 10, 2023.

Opportunities to Learn More

Program Webinar

The GC program team hosted a webinar to introduce the new solicitation to the community and give potential PIs an opportunity to ask questions. The webinar was recorded and can be viewed here.

Virtual Office Hours

The GC program team is also hosting a series of Virtual Office Hours aimed at giving potential PIs an opportunity to ask questions. The series starts on March 7 and ends on May 2. Any questions about the program can be asked at any session, although two of the sessions will have a special focus: Monday March 13 (Non-R1 Institutions) and Monday March 20 (Minority Serving Institutions).Session dates and times can be found on the event page.

There are no restrictions on attending multiple sessions, so please feel free to attend the session which best fits your schedule. The Zoom link will be the same for all sessions.

Cross-Disciplinary Workshops on Predictive Intelligence for Pandemic Prevention

The directorates for Biological Sciences (BIO); Computer Information Science and Engineering (CISE); Engineering (ENG); Social, Behavioral and Economic Sciences (SBE); and the Office of International Science and Engineering (OISE) at NSF are jointly supporting a series of interdisciplinary workshops (Feb. 16-17; Feb. 22-23; Feb 25-26; additional workshops planned) to engage research communities around the topic of Predictive Intelligence for Pandemic Prevention.

The workshops will bring together experts in the biological, engineering, computer, and social and behavioral sciences to start conversations and catalyze ideas on

  • how to advance scientific understanding beyond state-of-the-art in pre-emergence and emergence forecasting; and
  • real-time monitoring, and detection of inflection point events in order to prevent and mitigate the occurrence of future pandemics.

Each workshop is expected to have up to 50 invited active participants. The community can participate in a listen-only mode and interact through chat and Q&A functions. Individuals are encouraged to participate in as many workshops as possible, as each will cover a different aspect of the topic and all will be interdisciplinary in nature.

Registration info and agendas for each workshop are available at https://www.nsf.gov/events/event_summ.jsp?cntn_id=302023&org=CISE

Workshop 1 (Feb. 16-17, 2021): Rapidly detect and assess the threat of emerging pathogens through advanced biosensing, surveillance, and the tracking of human and non-human populations for risk modeling and pandemic preparedness. Agenda

Workshop 2 (Feb. 22-23, 2021): Understanding of how the global behavior of an organism emerges from the interactions that begin occurring between components at the molecular, cellular, and physiological scales. Agenda

Workshop 3 (Feb. 25-26, 2021): Description: Identification of pre-emergence and the predictions of rare events in multiscale, complex, dynamical systems. Agenda

Additional workshops are currently being planned. Stay tuned.

Sharing MCB Science: The Dynamic Transcriptional Response to Oxidative Stress

A common source of molecular damage in organisms is through oxidation, which can occur through natural processes, such as aerobic respiration, and from exposure to toxins such as ultraviolet radiation or pollution. Molecules that cause oxidation, known as reactive oxygen species (ROS), cause damage to proteins and DNA in cells and create a cell state of oxidative stress. In a recent study published in PLOS Genetics, MCB-funded investigator Dr. Amy Schmid and her team of researchers at Duke University describe the hierarchical dynamic response to oxidative stress in archaea, a single-cell model organism which has a gene regulation system similar to bacteria and eukaryotic cells.

This dynamic response controls the expression of over 100 genes whose RNA and protein products work to repair cellular damage caused by exposure to ROS. A key characteristic of this response is the presence of regulatory proteins which facilitate a sequential process to control damage repair. First, the proteins target genes to address cellular damage, then target genes to restore normal cellular function. Because the regulatory proteins involved in the response to stress are of a hybrid ancestry, these findings suggest that the evolution of gene networks may have been influenced by environmental forces, such as oxidative stress. When asked about the broader implications of her work, Dr. Schmid responded, “The results demonstrate that regulatory proteins of ancient evolutionary ancestry in archaea provide mechanistic links between various stress responses as well as between the regulatory network and its effects on cell physiology (e.g. transcriptional regulation, metabolic activity, growth rate, and cell morphology). These results have made significant progress in understanding gene network function, how it may be integrated with cell physiology, and how the network may evolve in response to stress throughout the tree of life”

The reported research was conducted by a team of varied experience and comprised graduate student Peter Tonner, research associates Adrianne Pittman and Kriti Sharma, and undergraduate researcher Jordan Gulli. As a result, trainees were integrated into research that addressed open questions in the fields of microbiology and mathematical modeling. In addition, the Schmid group hosts undergraduate students from Historically Black Colleges and Universities for summer research experiences and teaches a weeklong immersion course for high school students in collaboration with K-12 teachers. In this course, an interdisciplinary team of computational and experimental graduate students teaches high school students about mathematical modeling of microbial growth and response to oxidative stress.