National Science Foundation (NSF)

National Science Foundation (NSF)

Research Services

Alexandria, VA 270,982 followers

Where discoveries begin

About us

The U.S. National Science Foundation (NSF) is an independent federal agency created by Congress in 1950 "to promote the progress of science; to advance the national health, prosperity, and welfare; to secure the national defense…" With an annual budget of more than $8 billion, NSF is the funding source for approximately 20 percent of all federally supported basic research conducted by America’s colleges and universities. In many fields, such as mathematics, computer science, and the social sciences, NSF is the major source of federal backing. NSF awards about 11,000 new awards per year, with an average duration of three years -- to fund specific research proposals that have been judged the most promising by a rigorous and objective merit-review system. In the past few decades, NSF-funded researchers have won more than 200 Nobel Prizes as well as other honors too numerous to list. NSF funds equipment that is needed by scientists and engineers but is often too expensive for any one group or researcher to afford. Another essential element in NSF's mission is support for science and engineering education, from pre-K through graduate school and beyond. There are many exciting careers at NSF, not only in science, technology, education and mathematics (STEM), but also in business and operations. For more information, please visit us at http://nsf.gov/careers/. NSF welcomes opportunities to engage with you on our LinkedIn page. Please see our Comment Policy [http://www.nsf.gov/social/policies.jsp ] for more information.

Website
https://www.nsf.gov/
Industry
Research Services
Company size
1,001-5,000 employees
Headquarters
Alexandria, VA
Type
Government Agency
Founded
1950
Specialties
Biological Sciences, Computer and Information Science and Engineering, Education and Human Resources, Engineering, Geosciences, International Science and Engineering, Mathematical and Physical Sciences, Social Behavioral and Economic Sciences, Grants, STEM, and Research

Locations

Employees at National Science Foundation (NSF)

Updates

  • This week, NSF Director Sethuraman Panchanathan led transformative discussions and visits, strengthening global partnerships and propelling innovation to new heights. On Tuesday, Panchanathan hosted the chairman of Singapore Economic Development Board (EDB), Png Cheong Boon, and delegates at NSF headquarters. The group discussed collaborative research opportunities, leveraging talent from both nations and strengthening NSF's global partnerships. Later in the week, the director traveled to Pittsburgh, Pennsylvania, to visit Carnegie Mellon University (CMU). During his visit, he had the opportunity to witness firsthand the groundbreaking research being conducted at CMU, including a tour of the NSF Engineering Resource Center for Human Augmentation via Dexterity. This NSF-supported initiative aims to revolutionize the ability of robots to augment human labor and foster workforce development in artificial intelligence and robotics. The director also participated in the CMU President's Lecture Series, underscoring the significance of investing in collaborative efforts with universities like CMU to accelerate the frontiers of science and technology. Following the lecture, Panchanathan engaged in a fireside chat with CMU President Farnam Jahanian, where they explored NSF's crucial role in advancing AI research. He emphasized the contributions of the NSF Directorate for Technology, Innovation and Partnerships, along with the National Artificial Intelligence Research Resource Pilot, in fostering an inclusive innovation ecosystem. NSF continually works to strengthen partnerships and scale established programs to introduce new initiatives, ensuring that talent is energized worldwide. 📷: Charlotte Geary/ NSF 📷: Rebecca Devereaux/ Carnegie Mellon University

    • NSF Director Sethuraman Panchanathan speaks at a meeting with the chairman of Singapore Economic Development Board and delegates.
    • NSF Director Sethuraman Panchanathan meets with the chairman of Singapore's Economic Development Board (EDB), Png Cheong Boon and delegates.
    • NSF Director Sethuraman Panchanathan poses for a photo with the chairman of Singapore's Economic Development Board (EDB), Png Cheong Boon.
    • NSF Director Sethuraman Panchanathan explores a project at the Foundation to the Future Interfaces Group (FIGLAB) at Carnegie Mellon University.
    • NSF Director Sethuraman Panchanathan takes a tour of the Cloud Lab at Carnegie Mellon University.
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  • The U.S. National Science Foundation, through its Directorate for Technology, Innovation and Partnerships (NSF TIP), announced a partnership with the German Federal Agency for Disruptive Innovation (SPRIND) to accelerate breakthrough innovations in key technology areas. 🎉 NSF TIP and SPRIND leaders recently signed a memorandum of understanding (MOU) in Leipzig, Germany. The MOU unlocks possibilities for the partnership to accelerate timelines for selecting and conducting translational research on an international scale. NSF and SPRIND jointly plan to bring the U.S. and European innovation ecosystems closer to enable unconventional approaches to solving substantial societal problems. This collaboration adds an important new dimension to NSF's longstanding relationship with Germany while exemplifying TIP’s role in strengthening NSF's mission to advance research and workforce development. To learn more, visit https://bit.ly/3No1HWb. 📷: Bridget Turaga, NSF TIP

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  • Hispanic-serving institutions (HSIs) are playing an essential role in advancing STEM education, despite representing a smaller portion of the higher education landscape. With support from NSF, HSIs are leveraging state-of-the-art technology — such as virtual reality labs, artificial intelligence programs, and advanced manufacturing systems — to equip students with the skills and experiences they need to thrive in today's fast-evolving STEM fields. Through NSF-funded initiatives, institutions like the Pontifical Catholic University of Puerto Rico and New Mexico State University are driving innovation by integrating cutting-edge tools directly into the classroom. These resources are not only enhancing technical training but also broadening participation in STEM, offering students from diverse backgrounds the opportunity to engage in hands-on research, improve their learning outcomes, and prepare for impactful careers. By investing in infrastructure and education at HSIs, NSF is fostering a more inclusive and capable STEM workforce. These programs are critical to addressing both current and future challenges in science and engineering, ensuring that the next generation of STEM professionals reflects the diverse population they serve. https://bit.ly/3U6EoDU #HSIs #NSFfunded #STEMEducation #DiversityInSTEM #InclusionInEducation 📸 Alok Arun, Inter American University of Puerto Rico Barranquitas Campus

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  • Science fiction turns into reality as digital twins — a virtual model interacting with a physical system — begin to deliver real-world benefits. The National Academies of Sciences, Engineering, and Medicine released a report co-funded by NSF and other federal agencies titled “Foundational Research Gaps and Future Directions for Digital Twins.” Digital twins have two parts: a virtual representation and a physical counterpart. The virtual side uses math to predict what the physical side will do. The physical side relies on sensors and stuff to give real-time data to the virtual side. Then, the virtual side uses this data to change the system for the best result. Take, for example, Woods Hole Oceanographic Institution's #NSFfunded project that will create Digital Reefs, a program that uses digital twins to model how changing climate will impact reefs worldwide. The program combines ocean floor topography maps, surface landmarks from Google, and coral, algae, and plant life from Allen Coral Atlas into a single visual map accessible on any device. https://bit.ly/4824Hkq Read the story and full report: https://bit.ly/4dEijDH

    Digital twins beginning to deliver real-world benefits

    Digital twins beginning to deliver real-world benefits

    new.nsf.gov

  • NSF congratulates David Baker, Demis Hassabis and John Jumper on being awarded the 2024 #NobelPrize in chemistry. Baker and his colleagues have revolutionized protein design, creating new structures that have potential in medicine and other applications. NSF is immensely proud of having supported Baker's work over decades and the infrastructure investments that led to these advances. https://bit.ly/3TYFB0b

    View organization page for The Nobel Prize, graphic

    868,768 followers

    BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 Nobel Prize in Chemistry with one half to David Baker “for computational protein design” and the other half jointly to Demis Hassabis and John M. Jumper “for protein structure prediction.”   The Nobel Prize in Chemistry 2024 is about proteins, life’s ingenious chemical tools. David Baker has succeeded with the almost impossible feat of building entirely new kinds of proteins. Demis Hassabis and John Jumper have developed an AI model to solve a 50-year-old problem: predicting proteins’ complex structures. These discoveries hold enormous potential.   The diversity of life testifies to proteins’ amazing capacity as chemical tools. They control and drive all the chemical reactions that together are the basis of life. Proteins also function as hormones, signal substances, antibodies and the building blocks of different tissues.   Proteins generally consist of 20 different amino acids, which can be described as life’s building blocks. In 2003, David Baker succeeded in using these blocks to design a new protein that was unlike any other protein. Since then, his research group has produced one imaginative protein creation after another, including proteins that can be used as pharmaceuticals, vaccines, nanomaterials and tiny sensors.   The second discovery concerns the prediction of protein structures. In proteins, amino acids are linked together in long strings that fold up to make a three-dimensional structure, which is decisive for the protein’s function. Since the 1970s, researchers had tried to predict protein structures from amino acid sequences, but this was notoriously difficult. However, four years ago, there was a stunning breakthrough.   In 2020, Demis Hassabis and John Jumper presented an AI model called AlphaFold2. With its help, they have been able to predict the structure of virtually all the 200 million proteins that researchers have identified. Since their breakthrough, AlphaFold2 has been used by more than two million people from 190 countries. Among a myriad of scientific applications, researchers can now better understand antibiotic resistance and create images of enzymes that can decompose plastic.   Life could not exist without proteins. That we can now predict protein structures and design our own proteins confers the greatest benefit to humankind. Learn more Press release: https://bit.ly/3TM8oVs Popular information: https://bit.ly/3XYHZGp Advanced information: https://bit.ly/4ewMBta

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  • View organization page for National Science Foundation (NSF), graphic

    270,982 followers

    Tech startup Set Point Solutions (SPS) is working to safeguard military personnel, first responders and outdoor enthusiasts by extending the range of on-hand wireless communication devices to remote environments. 📶 They are developing a device that establishes reliable communications in remote locations or emergencies across greater distances without a signal. Based in Guam, SPS became the island's first NSF Small Business Innovation Research award recipient. To learn more, visit https://bit.ly/3NjoD8R. #NSFSBIR #wirelesscommunication 📷: Set Point Solutions

    • Joseph Matanane Brown, CEO of Set Point Solutions.
  • NSF congratulates John J. Hopfield and Geoffrey E. Hinton for their #NobelPrize in physics. Their research and innovations helped make possible "machines that learn" — artificial neural networks with the ability to store and reconstruct information and independently recognize patterns within data. NSF supported their pioneering work in the 1980s, which helped create the foundation for the AI revolution of today. https://bit.ly/3BF51tp

    View organization page for The Nobel Prize, graphic

    868,768 followers

    BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.” This year’s two Nobel Prize laureates in physics have used tools from physics to develop methods that are the foundation of today’s powerful machine learning. John Hopfield created an associative memory that can store and reconstruct images and other types of patterns in data. Geoffrey Hinton invented a method that can autonomously find properties in data, and so perform tasks such as identifying specific elements in pictures. When we talk about artificial intelligence, we often mean machine learning using artificial neural networks. This technology was originally inspired by the structure of the brain. In an artificial neural network, the brain’s neurons are represented by nodes that have different values. These nodes influence each other through connections that can be likened to synapses and which can be made stronger or weaker. The network is trained, for example by developing stronger connections between nodes with simultaneously high values. This year’s laureates have conducted important work with artificial neural networks from the 1980s onward. John Hopfield invented a network that uses a method for saving and recreating patterns. We can imagine the nodes as pixels. The Hopfield network utilises physics that describes a material’s characteristics due to its atomic spin – a property that makes each atom a tiny magnet. The network as a whole is described in a manner equivalent to the energy in the spin system found in physics, and is trained by finding values for the connections between the nodes so that the saved images have low energy. When the Hopfield network is fed a distorted or incomplete image, it methodically works through the nodes and updates their values so the network’s energy falls. The network thus works stepwise to find the saved image that is most like the imperfect one it was fed with. Geoffrey Hinton used the Hopfield network as the foundation for a new network that uses a different method: the Boltzmann machine. This can learn to recognise characteristic elements in a given type of data. Hinton used tools from statistical physics, the science of systems built from many similar components. The machine is trained by feeding it examples that are very likely to arise when the machine is run. The Boltzmann machine can be used to classify images or create new examples of the type of pattern on which it was trained. Hinton has built upon this work, helping initiate the current explosive development of machine learning. Learn more Press release: https://bit.ly/4gCTwm9 Popular information: https://bit.ly/3Bnhr9d Advanced information: https://bit.ly/3TKk1MM

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  • Job opportunity alert! The U.S. National Science Foundation is seeking a qualified candidate for a general engineer (program director) position for the Antarctic Infrastructure and Logistics Section within the NSF Directorate for Geosciences Office of Polar Programs in Alexandria, Virginia. The selected candidate will be responsible for managing master planning, design and major construction planning and prioritization for the U.S. Antarctic Program. The incumbent will work with contracted architectural and engineering firms, the NSF Antarctic support contractor, and other federal agencies that can provide engineering, technical analysis, oversight and other construction management expertise. To learn more about the job and how to apply, visit https://bit.ly/4h03ZZh. 📸: Elaine Hood #job #NSFjob #polarjobs #engineeringjobs

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    The NSF congratulates Victor Ambros and Gary Ruvkun for their #NobelPrize in physiology or medicine. Their breakthrough discovery of microRNAs, a fundamental component of how gene activity is regulated, transformed our knowledge of cell development and the types of genetic material contained within the cells in all manner of organisms. Their groundbreaking discovery has led to advances in medicine, agriculture and other fields.

    View organization page for The Nobel Prize, graphic

    868,768 followers

    BREAKING NEWS The Nobel Assembly at the Karolinska Institutet has today decided to award the 2024 Nobel Prize in Physiology or Medicine to Victor Ambros and Gary Ruvkun for the discovery of microRNA and its role in post-transcriptional gene regulation. This year’s Nobel Prize honours two scientists for their discovery of a fundamental principle governing how gene activity is regulated. The information stored within our chromosomes can be likened to an instruction manual for all cells in our body. Every cell contains the same chromosomes, so every cell contains exactly the same set of genes and exactly the same set of instructions. Yet, different cell types, such as muscle and nerve cells, have very distinct characteristics. How do these differences arise? The answer lies in gene regulation, which allows each cell to select only the relevant instructions. This ensures that only the correct set of genes is active in each cell type. This year’s medicine laureates Victor Ambros and Gary Ruvkun were interested in how different cell types develop. They discovered microRNA, a new class of tiny RNA molecules that play a crucial role in gene regulation. Their groundbreaking discovery revealed a completely new principle of gene regulation that turned out to be essential for multicellular organisms, including humans. It is now known that the human genome codes for over one thousand microRNAs. Their surprising discovery revealed an entirely new dimension to gene regulation. MicroRNAs are proving to be fundamentally important for how organisms develop and function.

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  • Calling all seventh through 12th grade STEM teachers: The 2024-2025 cycle of the Presidential Awards for Excellence in Mathematics and Science Teaching (PAEMST) is officially open! #PAEMST is the highest honor the U.S. government bestows upon K-12 STEM teachers. Awardees receive a signed certificate from the President of the United States, an all-expense paid trip to the Washington, D.C., area for a recognition event, and a $10,000 award. Nominate a teacher in your community or begin an application today:! https://bit.ly/4fc11iH

    • Card with text “2024-2025 PAEMST applications and nominations now open.” with decorative photos and logos for the U.S. National Science Foundation and Presidential Awards for Excellence in Mathematics and Science Teaching.

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