ORLANDO, FLA – The University of Central Florida Master of Science in Data Analytics program hosted its first ever Women in Data Science Conference on March 5, 2018. This technology conference was held on the university campus and afterwards talks from Stanford were live streamed at over 100 satellite locations. The panel discussed data science research, career opportunities, as well as tips, tools and knowledge in hopes of educating and encouraging other women in data analytics. Continue reading
Both the South Big Data Hub and West Big Data Hub provided sponsorship for the NIST/IEEE/ORCA Federated Cloud Workshop, held on March 21-22, 2018, in Gaithersburg, MD. The workshop was chaired by:
- Robert Bohn, Program Manager, NIST Cloud Computing Program (NCCP) Federated Cloud Conceptual Architecture, and Chair IEEE P2302;
- Craig Lee, Chair, NCCP Federated Cloud Conceptual Architecture, and The Aerospace Corporation; and,
- Khalil Yazdi, Chair of Open Research Cloud Alliance (ORCA).
Last week, The South Big Data Innovation Hub announced the recipients of the 2018 DataUp: Keeping Data Science Broad Series. The recipients represent Historically Black Colleges and Universities (HBCUs), Hispanic-Serving Institutions (HSIs), and other minority-serving institutions (MSIs), community colleges, and primarily teaching-focused institutions. Each of the recipients will receive a 2-day data science workshop on their respective campuses and travel funding for an in-person ‘train-the-trainers’ workshop in Atlanta, GA to prepare teams to teach regional data science workshops. Continue reading
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.
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
By Dan Ellen
On August 26 and 27, programmers and software engineers convened in Orlando to push the boundaries of creativity, innovation, reality, and technology to build solutions and concepts that have the potential to make a difference in the Orlando community.
Called the Orlando Smart Cities Hackathon, the event aimed to support the city of Orlando in its efforts to become a smart city and also to demonstrate the city’s capabilities as it works to earn the title of “The Smartest City.” Orlando received two smart cities grant awards and is pursuing a variety of additional funding opportunities for smart cities initiatives that would help to enhance transportation citywide and beyond. In these pursuits, the city continues to move forward with building a data-driven infrastructure that will support safer, cleaner, and more efficient travel and an improved quality of life. Continue reading
On August 28, Karl Schmitt, PhD, an assistant professor in the department of mathematics and statistics at Valparaiso University, attended the webinar Data Science Education in Traditional Contexts, hosted by the South Big Data Innovation Hub as part of its Keeping Data Science Broad: Bridging the Data Divide series. The webinar featured five speakers, including Schmitt, who is also the director of data sciences at Valparaiso. Each speaker talked about their own programs and experiences in data science education as well as some of the challenges involved in creating and implementing educational programs in a field that is still very new and in the process of being defined. Continue reading
By Eun Kyong Shin
The 2017 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS 2017) was held in Washington, DC, in July, and prominent fields applying social computing techniques include public health and healthcare. In early modern epidemiology, data collection processes relied heavily on painstaking manual labor. Data on a large scale was hard to obtain and resulted from careful observation and intensive recording. Since the introduction of the internet and advances in digital communication, massive amounts of dynamic data have accumulated exponentially. Along with the digitization of medical practices and other social data collection process, the nature of scientific discovery has been fundamentally changed. Continue reading