On Mobile? View Mobile Version
The National Institute of Statistical Sciences (NISS), an independent non-profit research organization founded in 1990 by the ASA, IBS, IMS, the triangle universities, and others, is excited to announce the launch of the NISS Collaboratory (CoLab). This new initiative will host collaborative events and activities, bringing together NISS Affiliates and partner institutions to work on high-impact cross-disciplinary and cross-sector research. NISS identifies, seeds, catalyzes, and fosters such research in the statistical and data sciences, serving as a neutral, objective expert in delivering critical scientific and public policy research to academia, industry, and government.
CoLab aims to strengthen these efforts by enhancing collaboration and innovation across diverse fields:
NISS partners to strengthen new and ongoing research and training activities while avoiding duplication.
NISS leads when there are critical but unmet needs or as important emergent topics arise.
 |
The National Institute of Statistical Sciences (NISS) presents Statistics Serving Society ( S3 ), a series of forums to honor the memory of Professor Ingram Olkin. These forums at NISS provide a platform for statisticians to discuss and address pressing societal issues through statistical insights and solutions.
|
 |
The NISS New Researchers Network fosters collaboration and support among early-career statisticians, graduate students and undergraduate students offering resources and opportunities for professional growth.
|
 |
The AI in StAtIstics program explores the intersection of artificial intelligence and statistics, driving innovation and advancements in data analysis and interpretation. NISS has collaborated with FSCM, the National Academies of Sciences, and aquired sponsorships from the ASA, RTI, and NORC at the University of Chicago. The Committee on National Statistics, the Federal Committee on Statistical Methodology, the Interagency Council on Statistical Policy, and the National Institute of Statistical Sciences worked together to organize an AI Day on May 2, 2024. Implications of AI for federal statistical agencies were discussed and explored. Together, we took a look at what statistical research needs to be performed and considered the intersection of federal statistics with how other fields make use of AI.
|
 |
The Collaborative Data Science initiative at NISS brings together experts from various fields to tackle complex data challenges through interdisciplinary teamwork and innovative methodologies.
The goal is to foster progress in:
- Developing new ideas for experimental and observational data-driven learning and discovery that address key questions at the cutting edge of science and scientific deduction;
- Quantifying and summarizing uncertainty in data-driven theories, as well as complex Data Science models, algorithms, and workflows; and
- Establishing new practices for scientific reproducibility and replicability through Data Science.
|
 |
Human-natural systems are increasingly interconnected. Data-driven science and engineering enhance our understanding of these complex processes. The intersection of the Environment and Public Health is among the most systemically important - each facing its own urgent crises, and with growing spillover of negative environmental outcomes influencing negative human health outcomes, in particular. Mathematical and Statistical tools are essential for understanding and addressing the complex and interrelated challenges of public and environmental health. Emergent data sources coupled with modern methods have great promise to help mitigate future risks, but transdisciplinary methodological innovations are required to comprehensively address multi-faced challenges.
|
|
|
Our Visualization program at NISS emphasizes the importance of effective visual communication of data, providing tools and techniques for creating impactful and insightful visual representations.
SAID in Graphics Competitions
|
