South Hub helps sponsor Southern Data Science Conference; registration now open

Screen Shot 2018-01-17 at 2.56.51 PM.pngThe 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.

The South Big Data Hub is one of the sponsors of the conference, which is expected to attract more than 300 general attendees, 50-plus research attendees, and at least 30 speakers. Other conference sponsors are DataRobot,  Arcadis, Mailchimp, and the National Consortium for Data Science (NCDS). South Hub Co-Executive Director Lea Shanley serves on the advisory board and will be one of the conference speakers.

SDSC 18 is the second annual Southern Data Science Conference and this year, a research track has been added, where academics and students from top research institutions will share their work during a poster session. The research track aims to bridge the gaps between data scientists in industry, academia, and government. The research poster session will give graduate students and academic researchers the chance to present their ongoing work to industry leaders, and will provide industry attendees the opportunity to recruit new talent or form new collaborations.

Researchers whose posters are accepted for the conference will have their registration fees paid by the NCDS. In addition, the NCDS will present prizes to the three best posters as selected by the conference program committee. Poster submissions are due Jan. 26 and can be submitted here.

Keynote addresses will be presented by Kirk Borne, principal data scientist at Booz Allen Hamilton; and Jane Eggers, CEO of Nara Logics. Other speakers represent some of the biggest names in the technology and data science sectors, including Google, Facebook, Uber, Intel, and Microsoft.

Registration is now open and early-bird discounts are available through Feb. 28. Discounts are also available for students. To learn more or to register, visit the Southern Data Science Conference website.

 

Workshop looks at forming EU-US big data partnerships

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

South Hub, Microsoft team up to provide Azure credits for researchers

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.

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Earth observation and citizen science workshop video materials now available

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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.

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The South Big Data Hub brings missing voices to the conversation on data science education

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.

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Confronting the data challenges of ‘smart health’

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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.

Hackathon part of effort to make Orlando the ‘Smartest City’

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Participants in the Orlando Smart Cities Hackathon take time out for a group photo.

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

Data science education in traditional contexts: Reflections on a recent webinar

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

Big data and public health: New scenes and a new state of mind

Bigdatahealthcare-3By 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

Deep Learning to classify big data

By Sahar Tavakoli

Our brains do an expert job of classification; it happens when we recognize people from their faces, categorize an object that we see, or predict the future state of an event. Proportional to  the complexity of an input pattern, the classification can be easy (for example recognizing the difference between a cat and a dog) or difficult, such as predicting the probability of two people becoming friends in a social network. Continue reading