Registration discounts through April 1; visit irods.org
DURHAM, NC – Users of the integrated Rule Oriented Data System (iRODS) will come to Durham, NC from points around the globe to attend the 2018 iRODS User Group Meeting (UGM) June 5 – 7.
The meeting gives iRODS users and those interested in using iRODS the chance to learn about the latest updates to iRODS software, hear about iRODS implementations from users in different research domains and business sectors, discuss iRODS-enabled applications and discoveries, and glimpse the future of iRODS and the iRODS Consortium. Continue reading
The Women in Data Science (WiDS) Conference returns for a
third year to
Stanford University on March 5. This one-day, technical conference features world-class speakers discussing a wide array of data science, machine learning, and artificial intelligence research and applications, from computational finance, to astrophysics, tocybersecurity, and much more. All genders are invited to participate in the conference, which features exclusively female speakers.
Travel and accommodations provided; applications due March 15
For today’s graduate and post-doctoral students, conducting research often starts by trying to make sense of the many tools, technologies, and work environments used in data-intensive research and computing.
Fortunately, there is help in navigating this new research landscape.
Scene from an NCDS data science career event designed to bring students together with potential employers.
The National Consortium for Data Science (NCDS), a public-private consortium formed in North Carolina to address the challenges and opportunities of big data, has updated its membership structure, making it easier for businesses, government agencies, educational institutions, and nonprofits to join the NCDS community. Continue reading
The 2018 Southern Data Science Conference (SDSC 18) will bring experts and researchers from top companies and research institutes to Atlanta on April 13 and 14 for two days of sharing best practices and discussing the latest issues, challenges, and trends in data science. Continue reading
Participants in the international big data workshop in Versailles, France, take a break for a group photo.
In November 2017, the National Science Foundation’s Big Data Innovation Hubs sponsored a workshop in Versailles, France to discuss the formation of public-private partnerships in big data research among institutions in the United States and the European Union. Organized in conjunction with the Big Data Value Association, the PICASSO Project, and Inria, the workshop was the first of its kind to bring together international big data experts representing government, industry, and academia. Continue reading
Earlier this year, the South Big Data Hub partnered with Microsoft Research to offer researchers in the South Hub region the opportunity to apply for cloud credits on Azure, the comprehensive cloud services platform offered through Microsoft. The opportunity was designed to provide cloud computing resources to support data-intensive research projects.
Citizen Science Workshop photo courtesy of Secure World Foundation.
The proliferation of mobile devices and low-cost sensors has enabled citizens to collect timely geospatial information and contribute to scientific research and field work that addresses locally relevant, global environmental issues, including disaster management, food security and climate change. This collaborative exchange, in which citizens as well as scientists and policymakers, actively participate in the creation of new scientific knowledge, is called citizen science to contribute, together with scientists and policy makers, to address locally relevant, global environmental issues, including disaster management, food security and climate change. This collaborative exchange, in which citizens are active participants in the co-creation of new scientific knowledge, is known as Citizen Science.
Negotiating the Digital and Data Divide Workshop builds momentum for the series “Keeping Data Science Broad.”
Participants of the Negotiating the Digital and Data Divide Workshop, in front of the wall of challenges and visions used to collect ideas on the future of data science education.
This month, participants from universities across the nation, community colleges, tribal colleges, minority-serving institutions, nonprofits, and industry joined forces with the South Big Data Hub and Georgia Tech to confront the challenges of building data science capacity through traditional and alternative educational practices. Organized by Dr. Renata Rawlings-Goss, a co-executive director of the South Big Data Hub, the two-day workshop, sponsored by multiple directorates within the National Science Foundation, brought together a diverse mix of participants to navigate the complex issues of reforming data science education to prepare for the data-driven workforce of the future.
NSF’s Wendy Nilsen speaking at a South Big Data Hub Roundtable.
Each day countless devices—from monitors in hospitals to diagnostic tests to Fitbits—capture huge amounts of health data. That data could change how patients and doctors interact, how diseases are diagnosed and treated, and the amount of control individuals have over their health outcomes.
But there’s a catch, says Wendy Nilsen, PhD, program director of the Smart and Connected Health Initiative at the National Science Foundation.
The data is plentiful, Nilsen acknowledged. The challenge, she said, is how to make that data easier to use, how to standardize it so it can be analyzed, how to scale it, keep it safe, and how to account for external factors such as the environment or a person’s genome.
Nilsen discussed these challenges and how to address them in a roundtable discussion hosted by the South Big Data Hub on October 14. Nilsen’s talk, titled “Smart Health and Our Future” provides an overview of the challenges that must be addressed as well as the ultimate goal: A system where patients use data to take more control of their health and where healthcare practitioners can use data from multiple sources to improve diagnoses and health outcomes.
To view the presentation slides, click here.