The NSF Convergence Accelerator program
- Chaitanya Baru,
- Lara Campbell,
- Aurali Dade,
- Pradeep Fulay,
- Alex Loewi,
- Douglas Maughan,
- Ibrahim Mohedas,
- Linda Molnar,
- Michael Pozmantier,
- Michael Reksulak,
- Shelby Smith,
- Nicole Tehrani
The National Science Foundation's Convergence Accelerator is a unique program offering researchers and innovators the opportunity to translate research results into tangible solutions that make a difference for society. Through an intense ...
Knowledge graphs: Introduction, history, and perspectives
- Vinay K. Chaudhri,
- Chaitanya Baru,
- Naren Chittar,
- Xin Luna Dong,
- Michael Genesereth,
- James Hendler,
- Aditya Kalyanpur,
- Douglas B. Lenat,
- Juan Sequeda,
- Denny Vrandečić,
- Kuansan Wang
Knowledge graphs (KGs) have emerged as a compelling abstraction for organizing the world's structured knowledge and for integrating information extracted from multiple data sources. They are also beginning to play a central role in representing ...
Know, Know Where, KnowWhereGraph: A densely connected, cross‐domain knowledge graph and geo‐enrichment service stack for applications in environmental intelligence
- Krzysztof Janowicz,
- Pascal Hitzler,
- Wenwen Li,
- Dean Rehberger,
- Mark Schildhauer,
- Rui Zhu,
- Cogan Shimizu,
- Colby K. Fisher,
- Ling Cai,
- Gengchen Mai,
- Joseph Zalewski,
- Lu Zhou,
- Shirly Stephen,
- Seila Gonzalez,
- Bryce Mecum,
- Anna Lopez‐Carr,
- Andrew Schroeder,
- David Smith,
- Dawn Wright,
- Sizhe Wang,
- Yuanyuan Tian,
- Zilong Liu,
- Meilin Shi,
- Anthony D'Onofrio,
- Zhining Gu,
- Kitty Currier
Knowledge graphs (KGs) are a novel paradigm for the representation, retrieval, and integration of data from highly heterogeneous sources. Within just a few years, KGs and their supporting technologies have become a core component of modern search ...
Knowledge graphs to support real‐time flood impact evaluation
- J. Michael Johnson,
- Tom Narock,
- Justin Singh‐Mohudpur,
- Doug Fils,
- Keith C. Clarke,
- Siddharth Saksena,
- Adam Shepherd,
- Sankar Arumugam,
- Lilit Yeghiazarian
A digital map of the built environment is useful for a range of economic, emergency response, and urban planning exercises such as helping find places in app driven interfaces, helping emergency managers know what locations might be impacted by a ...
A biomedical open knowledge network harnesses the power of AI to understand deep human biology
- Sergio E. Baranzini,
- Katy Börner,
- John Morris,
- Charlotte A. Nelson,
- Karthik Soman,
- Erica Schleimer,
- Michael Keiser,
- Mark Musen,
- Roger Pearce,
- Tahsin Reza,
- Brett Smith,
- Bruce W. Herr,
- Boris Oskotsky,
- Angela Rizk‐Jackson,
- Katherine P. Rankin,
- Stephan J. Sanders,
- Riley Bove,
- Peter W. Rose,
- Sharat Israni,
- Sui Huang
Knowledge representation and reasoning (KR&R) has been successfully implemented in many fields to enable computers to solve complex problems with AI methods. However, its application to biomedicine has been lagging in part due to the daunting ...
Infrastructure for rapid open knowledge network development
- Michael Cafarella,
- Michael Anderson,
- Iz Beltagy,
- Arie Cattan,
- Sarah Chasins,
- Ido Dagan,
- Doug Downey,
- Oren Etzioni,
- Sergey Feldman,
- Tian Gao,
- Tom Hope,
- Kexin Huang,
- Sophie Johnson,
- Daniel King,
- Kyle Lo,
- Yuze Lou,
- Matthew Shapiro,
- Dinghao Shen,
- Shivashankar Subramanian,
- Lucy Lu Wang,
- Yuning Wang,
- Yitong Wang,
- Daniel S. Weld,
- Jenny Vo‐Phamhi,
- Anna Zeng,
- Jiayun Zou
The past decade has witnessed a growth in the use of knowledge graph technologies for advanced data search, data integration, and query‐answering applications. The leading example of a public, general‐purpose open knowledge network (aka knowledge ...
The Promise of AI in an Open Justice System
To craft effective public policy, modern governments must gather and analyze data on both the performance of their public functions and the responses by the public. Federal administrative agencies such as the Patent Office and Centers for Disease ...
Intelligent links: AI‐supported connections between employers and colleges
- Robby Robson,
- Elaine Kelsey,
- Ashok Goel,
- Sazzad M. Nasir,
- Elliot Robson,
- Myk Garn,
- Matt Lisle,
- Jeanne Kitchens,
- Spencer Rugaber,
- Fritz Ray
When modernization and other changes demand workforce reskilling, employers often turn to local colleges for training programs. Doing so can be a frustrating experience. HR and talent professionals have difficulty identifying and communicating ...
Human‐centered intelligent training for emergency responders
- Ranjana K. Mehta,
- Jason Moats,
- Rohith Karthikeyan,
- Joseph L. Gabbard,
- Divya Srinivasan,
- Eric Jing Du,
- Alexander Leonessa,
- Garret Burks,
- Andrew Stephenson,
- Ron Fernandes
Emergency response (ER) workers perform extremely demanding physical and cognitive tasks that can result in serious injuries and loss of life. Human augmentation technologies have the potential to enhance physical and cognitive work‐capacities, ...
Enabling AI innovation via data and model sharing: An overview of the NSF Convergence Accelerator Track D
- Chaitanya Baru,
- Michael Pozmantier,
- Ilkay Altintas,
- Stephen Baek,
- Jonathan Cohen,
- Laura Condon,
- Giulia Fanti,
- Raul Castro Fernandez,
- Ethan Jackson,
- Upmanu Lall,
- Bennett Landman,
- Hai Helen Li,
- Claudia Marin,
- Beatriz Martinez Lopez,
- Dimitris Metaxas,
- Bradley Olsen,
- Grier Page,
- Jingbo Shang,
- Yelda Turkan,
- Peng Zhang
This article provides a brief overview of 18 projects funded in Track D—Data and Model Sharing to Enable AI Innovation—of the 2020 Cohort of the National Science Foundation's (NSF) Convergence Accelerator (CA) program. The NSF CA is focused on ...
Decoding human behavior with big data? Critical, constructive input from the decision sciences
Big data analytics employs algorithms to uncover people's preferences and values, and support their decision making. A central assumption of big data analytics is that it can explain and predict human behavior. We investigate this assumption, ...
The success of Conversational AI and the AI evaluation challenge it reveals
Research interest in Conversational artificial intelligence (ConvAI) has experienced a massive growth over the last few years and several recent advancements have enabled systems to produce rich and varied turns in conversations similar to humans. ...
