The Southern Startup Internship Program in Data Science (DataStart) provides graduate students from the 16 states that comprise the South Big Data Regional Innovation Hub (South BD Hub) the opportunity to work with data-related startup companies on data-intensive business challenges important to the company. Students will be paid for their work through a grant to the startup company, and it is up to the students to identify their proposed host company. The program is designed to facilitate academic-industrial connections and enhance the entrepreneurial culture in the South. The application deadline is May 1, 2016.
The National Consortium for Data Science (NCDS), a public-private partnership to advance data science and capitalize on the opportunities of big data, seeks participants for its 2016-2017 Data Science Faculty Fellows Program. Fellowships are open to faculty members at NCDS member institutions and preference will be given to early-career faculty members that are within 5 years of their first tenure-track/tenured faculty appointments. NCDS member institutions include all universities in the University of North Carolina System as well as Drexel University.
Three awards of up to $50,000 are expected to be given this year. Fellowships are expected to last one year, and all Fellows will be expected to participate in NCDS Data Fellows activities during the year. NCDS Data Science Faculty Fellows awards are given to faculty researchers whose work supports the NCDS mission of advancing data science, finding solutions to data-related problems, and taking advantage of the many research, business and social opportunities related to big data.
To promote greater collaboration among NCDS members and the Fellows, this year’s Call for Proposals includes a list of possible research areas suggested by the membership. Submissions that do not address one of the identified research areas will be considered if they address particularly novel or innovative data science questions.
Proposals should be no more than four pages and should be submitted on the NCDS website. Proposals larger than 8 MB can sent as a PDF to firstname.lastname@example.org. Proposals must be submitted April 7, 2016.
Data Science Evaluation Series Workshop
When: March 17-18, 2016
Where: National Institute of Standards and Technology (NIST), Gaithersburg, MD
The Information Access Division (IAD)/Multimodal Information Group of the National Institute of Standards and Technology (NIST) cordially invites you to participate in a workshop on the Data Science Evaluation (DSE) series within the new Data Science Research Program (DSRP) and welcomes your participation.
The DSRP provides a forum for community-wide evaluations and supports research progress in the burgeoning field of data science. The DSE is a central component of the DSRP and serves as a broad forum for evaluation that will occur annually in support of data-science research.
In the fall of 2015, IAD hosted a small-scale pre-pilot evaluation in the traffic domain, meant to exercise a range of evaluation metrics and measurement methods. In 2016, IAD will follow up with an open pilot evaluation in the same domain. Proposals for tracks in the DSE will lead to a series of full-scale data science evaluations in 2017.
This workshop program will include:
- A description and discussion of the upcoming public NIST IAD Pilot Evaluation
- Presentations from Track Coordinator Finalists for potential tracks to be run in the full-scale evaluation in 2017
- Discussions pertaining to Data Science Challenge Problems
- Summary and analysis of the NIST IAD Pre-Pilot evaluation results
Your attendance and participation are welcome. In addition, ideas and suggestions regarding the design of the upcoming NIST IAD Data Science Evaluation series are especially welcome. Additional logistical information is coming soon. For additional questions, please contact us at email@example.com.
There is no cost to attend. To register, please register at the registration page. Because space is limited, registration will be accepted on a first-come first-serve basis until all spots are taken. If possible, please register by March 10, 2016.
Open Science Unconference hosted by the NCSU Libraries
When: March 22, 2016 from 10:00 a.m. – 4:00 p.m.
Where: Duke Energy Hall, James B. Hunt Jr. Library, 1070 Partners Way, Raleigh, NC 27606
The Unconference will be an informal, participant-driven, event for researchers across NCSU who are interested in open science to meet, discuss, and discover opportunities for collaboration.
The unconference structure is loose and collaborative; participants are welcome to help set the agenda, define the outcomes, and develop the deliverables. Hosted by the NCSU Libraries, the unconference will feature breakout sessions and a keynote presentation by Dr. Marcus Hanwell.
Breakout sessions are an ad hoc participatory opportunity for attendees to mingle and connect. Suggestions for topics will be gathered from participants via a Google Doc before the event and voted on day-of.
Attendance is free but space is limited. To register please fill out this form: go.ncsu.edu/opensci2016_registration
The William & Ida Friday Institute for Educational Innovation
Data-Intensive Research in Education: Opportunities and Challenges with “Big Data”
Presented By: Dr. Chris Dede, Timothy E. Wirth, Professor in Learning Technologies, Technology, Innovation, and Education Program, Harvard’s Graduate School of Education
When: Tuesday, November 17, 2015, 2:00 p.m. – 3:00 p.m.
Where: Friday Institute BB&T Multimedia Classroom, 1890 Main Campus Dr., Raleigh, NC
A confluence of advances in the computer and mathematical sciences has unleashed an unprecedented capability for enabling decision-making based on insights from new types of evidence. However, while the use of data science has become well established in business, entertainment, and science, technology, engineering, mathematics (STEM), the application of data science to education needs substantial research and development. Beyond the potential to enhance student outcomes through just-in-time, diagnostic data that is formative for learning and instruction, the evolution of educational practice could be substantially enhanced through data-intensive research, thereby enabling rapid cycles of improvement. The next step is to accelerate advances in every aspect of education-related data science so that we can transform our ability to rapidly process and understand increasingly large, heterogeneous, and noisy data sets related to learning. That said, there are puzzles and challenges unique to education that make realizing this potential difficult. This colloquium will summarize insights on this situation from two NSF-funded workshops held earlier this year.
Please contact Marjorie Santoro at firstname.lastname@example.org with any questions.
North Carolina Data Science and Analytics Initiative (NCDSA)
February 16, 2015
The NCDSA was funded through the UNC Research Opportunities Initiative (ROI) as a collaborative research effort between the data science initiatives at the University of North Carolina at Charlotte and North Carolina State University and the Renaissance Computing Institute (RENCI) in Chapel Hill. NCDSA-led research will broaden the economic impact of big data analytics within the state of North Carolina by advancing industry capability and education.
Researchers Take Big-Data Approach to Estimate Range of Electric Vehicles
October 31, 2014
Researchers from NC State have developed new software that estimates how much farther electric vehicles can drive before needing to recharge. The new technique requires drivers to plug in their destination and automatically pulls in data on a host of variables to predict energy use for the vehicle.
A Decade of Genes, Chemicals and Human Health: The Comparative Toxicogenomics Database Turns 10
October 30, 2014
What do you get a scientific database for its ten-year anniversary? Aluminum is the traditional gift, but do I want to run the risk of getting Alzheimer’s disease? That’s the kind of stuff I think about while at work, making links between what might seem like disconnected data.
SAS Signs Research Partnership
August 11, 2014 4:06 PM
SAS and NC State ink an agreement that will boost research and enhance opportunities for students in big data.
Data4Decision Conference in Raleigh
June 2, 2014
Data 4 Decisions, an unprecedented new data science conference and exposition, is aiming to help business leaders understand how to use Big Data for maximum results and benefit. The event is March 24-26, 2015 in Raleigh, the major hub for data science in the U.S.
Jenkins Adds Big Data Certificate
March 26, 2014
Beginning this fall, the Jenkins MBA program will offer a graduate certificate in decision analytics to equip business professionals with the skills to effectively navigate big data to drive business decisions and strategy. The program will be open to all Jenkins grad students and – space permitting – Jenkins alumni.
November 5, 2013 9:29 AM
A new technique developed at NC State helps search engines return personalized results.
NC State Hosts Big Data’s Big Star
October 17, 2013 10:20 AM
Nate Silver, who emerged during the 2012 presidential election as America’s best-known statistician, discussed his field, his future plans and his philosophy before a lecture at NC State.
NC State Partners With National Security Agency on Big-Data Lab
August 15, 2013 10:56 AM
Solutions to some of the world’s most pressing challenges lie in reams of data. The National Security Agency has tapped NC State to host a lab where bright minds from government, academia and business will unite to find those solutions.
NC State Partners With National Security Agency on Big-Data Lab
August 15, 2013 9:56 AM
North Carolina State University Chancellor Randy Woodson today announced a new partnership with the National Security Agency (NSA) to create the Laboratory for Analytic Sciences (LAS) on NC State’s Centennial Campus.
Writing the Book on How to Use ‘Big Data’
August 8, 2013 6:23 AM
NC State students wrote the book on analyzing “big data” – sifting useful information out of the sea of business, personal and other data available online and elsewhere.
Writing the Book on ‘Big Data’
August 7, 2013 7:00 AM
Computer science professor Nagiza Samatova and her students wanted a better introductory book on a particular approach to data mining. So, they wrote one.