Hackpads are smart collaborative documents. .

Lea Shanley

135 days ago
Unfiled. Edited by Lea Shanley , Karl Gustafson , Jianwu Wang 135 days ago
 
 
  • Meeting 7November 11, 2016 3:00-4:30 PM ET
Join WebEx here | Meeting number: 310 282 152 | Password: mcYte242
Audio connection: +1-855-282-6330 
 
Demo & Discussion  
 
  • Kenton McHenry: Brown Dog : Science Driven Data Transformation Service. Brown Dog seeks to develop a service that will make past and present un-curated data accessible and useful to scientists while also demonstrating the novel science and scholarship that can be conducted from such data.
 
  • Carol Song: GABBS: The Geospatial Building Blocks (GABBs) project is creating a powerful, yet easily used, Web-based system for hosting, processing, analyzing and sharing geospatial data.
 
 
  • Kenton McHenry, Brown Dog and Midwest Big Data Hub
  • Carol Song -- GABBS presentation
  • Email: carolxsong@purdue.edu
  • Jane Greenberg, HIVE and NE Big Data Hub
  • Email: jg3243@drexel.edu
  • Joan Boone, HIVE and South Big Data Hub
  • Email: jpboone@email.unc.edu
  • Michael Conway, HIVE, RENCI and South Big Data Hub
  • Email: michael_conway@unc.edu 
Karl G
  • Karl Gustafson, South Big Data Hub kgustafs@renci.org
Lea S
  • Jim Myers
  • Charles Schmitt, RENCI
  • Florence Hudson, Internet2
Jianwu W
  • Jianwu Wang, jianwu@umbc.edu
Lea S
  • Arcot Raja Rajasekar, RENCI
  • Lisa Stilwell, RENCI
  • Reagan Moore, SILS
  • BD
Karl G
  • Dylan (RENCI)
  • Eric Kaufmann
  • Howard Lander, RENCI
  •  
 
  • Thank you all. If you want to provide a demo to the group, please contact Lea Shanley lshanley@renci.org and Karl Gustafson.
  •  
 
136 days ago
Unfiled. Edited by Renata Rawlings-Goss , Lea Shanley 136 days ago
Lior Shamir, Lawrence Technical University
Zsolt Kira,  Georgia Institute of Technology (GTRI)
 
Lea S  Participants:
Renata R  Renata Rawlings-Goss, South Big Data Hub 
Lea S  Lea Shanley, South Big Data Hub
Renata R Paul Gader, University of Florida
Lior Shamir, Lawrence Technical University
Karl  Ricanek, Jr., University of North Carolina -Wilmington 
Zsolt Kira,  Georgia Institute of Technology (GTRI)
Peter Sforza, VIrginia Tech 
 
 
135 days ago
The South Hub community calls are a place for members of the Hub to share their research and initiatives with the community, and to learn about regional and national initiatives in smart, connected and resilient cities and communities.
 
Lea S If you would like to give a presentation to the group about your work in smart and connected communities / cities, or if you would like to volunteer to help us organize this community, please contact Lea Shanley at lshanley@renci.org and Karl Gustafson. 
 
 
  • Meeting 4: January TBD, 12:00 pm - 1:30 pm
To join the WebEx meeting, click here. Meeting number (access code): 643 270 675
 
Speakers:
 
Participants:
 
Notes:
 
  • Meeting 3: November 11, 12:00 pm - 1:30 pm
To join the WebEx meeting, click here. Meeting number (access code): 643 270 675
 
[Add link to recording here]
 
  • Featured speakers at the webinar will be:
 
  • Lakshmish Ramaswamy (UGA)
  • Harnessing Citizen Science, Remote Sensing and Advanced Data Analytics for CyanoHABs monitoring,
  • Bio: Lakshmish Ramaswamy is a Professor in the Dept. of Computer Science at the University of Georgia. He leads the Data Intensive Pervasive Systems Lab. He is also the Associate Director of the Georgia Informatics Institutes for Research and Education. Dr. Ramaswamy's research interests include Data Intensive Systems, Pervasive Systems, Cloud Computing, Health Informatics, Online Social Media, and Information Security, Privacy and Trust. He received the best paper awards at the CoopIS-2010 conference and the WWW-2004 conference. Dr. Ramaswamy obtained PhD from the College of Computing at the Georgia Institute of Technology. His research is supported by grants from the NSF and the industry.
 
  • Charles Catlett (Argonne National Laboratory)
  • Novel Urban Measurement and Data Analytics with the Array of Things
  • Bio: Charlie Catlett is a Senior Computer Scientist at Argonne National Laboratory, a Senior Fellow at the Computation Institute of the University of Chicago and Argonne National Laboratory, and founding director of the Urban Center for computation and Data. He has worked in Internet and supercomputing technologies since 1985. He currently leads the NSF-funded Array of Things project, establishing a network of 500 Argonne-developed intelligent sensor units in Chicago. Recognized as one of 25 “Doers, Dreamers & Drivers” of 2016 by Government Technology magazine and in 2014 as one of Chicago’s “Tech 50” technology leaders by Crain’s Chicago Business, Charlie is a Computer Engineering graduate of the University of Illinois at Urbana-Champaign. 
Agenda:
12:00 PM EDT Welcome and Introductions (Lea Shanley)
12:05 PM EDT Laksmish Ramaswarmy, University of Georgia 
12:25 PM EDT Q&A
12:35 PM EDT Charles Catlett, Argonne National Laboratory
12:55 PM EDT Q&A
 1:05 PM EDT Discussion 
 1:30 PM EDT Adjourn
 
Participants: (Please add your name, affiliation and email) - 34 
  • Karl Gustafson, South Big Data Hub, kgustafs@renci.org
  • Lea Shanley, South Big Data Hub, lshanley@renci.org
  • Lakshmish Ramaswamy, UGA laks@cs.uga.edu 
  • Amanda Edelman
  • Awoke Teshager Southern Illinois University dagnew_awoke@siu.edu
  • Caller 10
  • Caller 12
  • Cynthia Lee - grad student at GA Tech, Cynthia.lee@gatech.edu
  • Da Yan Unveristy of Alabama yanda@uab.edu
Erin M
  • Erin Mullenix, Iowa State University/Midwest Big Data Hub, erin1@iastate.edu
Lea S
  • Elena Zheleva UMD/NSF ezheleva@nsf.gov.
  • Hamed Alboori Northern Illinois University alhoori@niu.edu
Jen M
  • Jen Metes - UC Davis - jmmetes@ucdavis.edu
Lea S
  • Marte
  • Mina Sartipi Univeristy of Tennesee mina-sartipi@utc.edu
  • Nancy Stoner nstoner@pieciesfoundation.org
  • Patrick Clemins patrick@clemins.name 
  • Zhen Hu
  • Howard Lander Howard@renc.org
  • Arcot Rajaskar UNC RENCI sekar@renci.org
  • Andre Mascarenhas New University of Lisbon 
  • Ainsling Force Adventure Scientists 
Karl G
  • Priyanka Luthra
Lea S
  • Constanza Hazelwood Northwestern Michigan College?
  • Yiyi
Karl G
  • Charvi
  • Ben Blaiszik
  • Andy Bramburger
  • Lj
Lea S
  • Chantal.m. Germain NYC
 
NOTES:
 
comments from Lakshmish's talk: 
 
  • Q re social media data:  The social data that comes from an app shoudl give us a sense and activate the hyperspectral sensors but right now the social media data is so very noisy we haven't had good success. So our alternate is to use the data from our mobile app. Team is working with GT on use of social media for disasters. [ACTION: Lea to connect Lakshmish to other researchers]. 
  • Nancy Stoner is particularly interested in harmful algal brooms but more broadly on water quality montioring and get the kinds of tools in the hands of people trying to moniotor water quality. Looking to do some match making between people to help them find partners to gain access to technology to help their work. 
 
Links from Charlie's Talk: 
 
  • Chicago: Plenar.io (for scientists, policymakers, businesses)
  • OpenGrid.io (for residents, visitors) 
 
  • They have received 60 requests for pilot projects: We have Seattle, Portland, Chattanooga, Atlanta, and DC as pilots ready to go. Then through the University of Chicago centers we have Hong Kong, Dehli, and Paris. We also have university-city pilot projects.
 
  • Charlie: For pilots, important that we have local contact in the city for the pilot. In each of these case, they are brining their own funding to the table, we have been trying to figure out the best way to scale this pilot program. We are doing two types of pilot program. Are devices are intended that if it gets too hot, it wil hibernate. We dont' know if in Dubai and Dehli we wiill have long periods of hybernation. We are asking to enter into a research agreement with that partners to intgetrate the system. They would access their data in the same fashion as City of Chicago does which is through our portal. Cost $30,000 for the year. Then a number of these cities where we are not as concerend about heat and dust, then we have a similar kind of agreement for $100,000 for 10 nodes to ensure we have the resources to go overboard to provide support wrt to reliability, data access, etc. Will revisit 6 months to ensure this arrangmenet makes sense. Then there is a 3rd type of arrangement where there are scientists who want to take this opens source system that want to experiment with new sensors, analytics, et. The next step  is the kind of cost being associatd with pilots for the next 6 months at least.
 
  • Charlie: Went on a turn key to make it easy as possible and makes it more feasible to support on this site, then developing on the code. 
 
  • Sachin: What is the process for getting access to the data?
  • Charlie: We are going to wait until we have more than 6 notes up. If we have 60 notes up by Christmas then will start to publish in January. We already ahve the APIs set up, then you can send me an email. 
 
 
 
  • Meeting 2: October 14, 12:00 pm - 1:30 pm
To join the WebEx meeting, click here. Meeting number (access code): 643 270 675
 
...
132 days ago
Unfiled. Edited by Lea Shanley 132 days ago
Lea S
  • Meeting 2: Nov 14, 2:30 - 3:30 pm ET
 
Synthetic Population Demo | Webcast
 
Join Virtual Meeting here | Participant Code: 332342
Audio connection: +1-866-244-8528
 
On behalf of the South Big Data Hub Health & Environment communities, Bill Wheaton, Senior Geospatial Scientist, and Jay Rineer, Director, Geospatial Science and Technology program at RTI International, will describe the structure, content, and applications of a Synthetic Population of the U.S. 
 
The Synthetic Population is a computer representation of each household and individual in the U.S. where household-level and person-level characteristics match census aggregated counts at the census block group level and locations of each synthetic household match high resolution population density estimates.
 
Synthetic Microdata Household Viewer: http://synthpopviewer.rti.org 
 
For more information contact:
William Wheaton   wdw@rti.org;   Alan Blatecky - arblatecky@gmail.com
 
Speakers:
 
Bill Wheaton is a Senior Geospatial Scientist and former director of the Geospatial Science and Technology Program at RTI International. He has more than 30 years of experience applying geographic information systems (GIS) technology in environmental and social science research.  Mr. Wheaton has led the development of several national synthetic population databases for the U.S. and a variety of other countries.
 
James (Jay) Rineer is the Director of RTI’s Geospatial Science & Technology program.  He is a registered professional civil engineer with over 15 years of experience as a geographic information systems (GIS) application developer, water resources engineer, and project manager. He specializes in the design and development of Web-based, desktop, and mobile tools using a variety of GIS and database technologies, application frameworks, and libraries. Mr. Rineer serves as the project manager, architectural, or technical lead on a variety of key RTI projects for the U.S. Environmental Protection Agency (EPA), commercial clients, research projects, and commercialization efforts.
 
Participants:
  • Stan Ahalt, South Big Data Hub
  • Lea Shanley, South Big Data Hub
  • Alan Bletechy, RTI
  • Bill Wheaton, RTI
  • Grant West, University of Arkansas
  • Malay, VA Tech
  • Rene Baston, NE Big Data Hub
  • Chris Smith-Naill
  • Jarrod
  • Elena
  • Jian Chen, University of Maryland
  • Lisa Stillwell, RENCI
 
 
 
132 days ago
Unfiled. Edited by Lea Shanley , Grant West 132 days ago
Lea S
  • Meeting 2: Nov 14, 2:30 - 3:30 pm ET
 
Synthetic Population Demo | Webcast
 
Join Virtual Meeting here | Participant Code: 332342
Audio connection: +1-866-244-8528
 
On behalf of the South Big Data Hub Health & Environment communities, Bill Wheaton, Senior Geospatial Scientist, and Jay Rineer, Director, Geospatial Science and Technology program at RTI International, will describe the structure, content, and applications of a Synthetic Population of the U.S. 
 
The Synthetic Population is a computer representation of each household and individual in the U.S. where household-level and person-level characteristics match census aggregated counts at the census block group level and locations of each synthetic household match high resolution population density estimates.
 
For more information contact:
William Wheaton   wdw@rti.org;   Alan Blatecky - arblatecky@gmail.com
 
Synthetic Microdata Household Data Viewer: http://synthpopviewer.rti.org 
 
Speakers:
 
Bill Wheaton is a Senior Geospatial Scientist and former director of the Geospatial Science and Technology Program at RTI International. He has more than 30 years of experience applying geographic information systems (GIS) technology in environmental and social science research.  Mr. Wheaton has led the development of several national synthetic population databases for the U.S. and a variety of other countries.
 
James (Jay) Rineer is the Director of RTI’s Geospatial Science & Technology program.  He is a registered professional civil engineer with over 15 years of experience as a geographic information systems (GIS) application developer, water resources engineer, and project manager. He specializes in the design and development of Web-based, desktop, and mobile tools using a variety of GIS and database technologies, application frameworks, and libraries. Mr. Rineer serves as the project manager, architectural, or technical lead on a variety of key RTI projects for the U.S. Environmental Protection Agency (EPA), commercial clients, research projects, and commercialization efforts.
 
Participants (please add your email address)
  • Alan Bletechy, RTI
  • Bill Wheaton, RTI
  • Grant West, University of Arkansas, gwest@uark.edu
  • Malay, VA Tech
  • Rene Baston, NE Big Data Hub
  • Chris Smith-Naill
  • Jarrod
  • Elena
  • Jian Chen, University of Maryland
  • Lisa Stillwell, RENCI
  • Stan Ahalt, South Big Data Hub
  • Lea Shanley, South Big Data Hub: lshanley@renci.org 
 
PLEASE ADD YOUR COMMENTS/QUESTIONS HERE: 
 
  • Stan Ahalt: would it be possible to geographically report health outcomes
  • Rene: We have a project focused on mapping a 700million patient record EMR to exposome data.  It would be great to connect you to that project.
  • Grant West: Is there a basic leve of richness that a survey dataset might need for enriching the synthetic dataset?
  • Jian Chen: I ran late to the meeting, could you please your dasymetric mapping method again?
 
 
 
193 days ago
Unfiled. Edited by Lea Shanley 193 days ago
2:10 PM Speakers: Dr. Kenneth David Strang: Privacy, Security & Terrorism
 
Participants:
  • Kenneth David Strang, SUNY
 
Meeting Notes:
Lea S
  • Most of big data scholarly literature over 10 years is focused on data mining (9%) and data analytics (7%), while privacy and security are only 2%. See Strang & Sun (2017), Scholarly big data body of knowledge: What is the status of privacy and security? Annals of Data Science, in press.
  • In 2016, data mining as a publication topic dropped to 1% and social media and cloud computing increased in total percentage. 
  • In 2016, there also was a proliferation of specific topics in big data. There was a high percentage of literature reviews and conceptual frameworks, and limited focus on applications of big data.
  • In 2016, in the first 6 months of production, research in journals (excluding websites, trade magazines, magazines): 26% focused on literature reviews, 15% focused on taxonomies/frameworks/research design. Total 41%. 
  • Then there was a focus on statistics and machine learning (1%). 
  • Privacy and security studies, however, decreased in pulications with relative production (below 1%) for 2016. It's about half of what it was. 
  • Lea: Is this due to limited NSF funding for privacy & security big data research?
  • Ken: Ethics of big data is another topic that needs attention. 
  • Ken: Difficult to do big data research in terrorism. Hard to assess accuracy of the infrormation, and sensitivy and layers of security on the data. Need behavioral and predictive research.
  • Ken: What would be ways we could apply methods to come up with predictive models using big data? Need structure and standards in place for organiations that do have access to the data, like DHS, so can be replicated as a model. 
 
 
220 days ago
Unfiled. Edited by Renata Rawlings-Goss 220 days ago
In addition, the South Hub is facilitating community discussions around several verticals, including data science in: Health, Energy, Materials and Manufacturing, Habitat Planning, Smart and connected communities, Coastal Hazards, and Privacy/Security, Policy and Economic Modeling.  These discussions are being seeded by the Hub, through initial open conference calls, as a means of networking and information dissemination. As members of the South Hub community, if you wish to help organize or lead these calls, or have an interest in establishing a regular working group as part of the South Hub, please contact the Hub team at info@southbdhub.org. 
 

Contact Support



Please check out our How-to Guide and FAQ first to see if your question is already answered! :)

If you have a feature request, please add it to this pad. Thanks!


Log in / Sign up