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IPRO 306 Flyer
Title
IPRO 306 Flyer
Creator
Ipro, 306
Date
2012, 2012
Description
Sponsorship: AggreBind
Survey Instruments for Flexible Decision-making in Response to Disruptions on Construction Sites
Title
Survey Instruments for Flexible Decision-making in Response to Disruptions on Construction Sites
Creator
Menches, Cindy
Date
2012, 2012
Description
The document is a compilation of the Baseline Assessment, Foreman Survey, and Exit Interview documents for National Science Foundation...
Show moreThe document is a compilation of the Baseline Assessment, Foreman Survey, and Exit Interview documents for National Science Foundation research project, CMMI-1100514, Flexible Decision-making in Response to Disruptive Events on Construction Sites.
Sponsorship: National Science Foundation, CMMI-1100514, Flexible Decision-making in Response to Disruptive Events on Construction Sites.
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Data used to develop #Polar scores
Title
Data used to develop #Polar scores
Creator
Culotta, Aron, Hemphill, Libby, Heston, Matthew
Date
2013, 2016
Description
We present a new approach to measuring political polarization, including a novel algorithm and open source Python code, which leverages...
Show moreWe present a new approach to measuring political polarization, including a novel algorithm and open source Python code, which leverages Twitter content to produce measures of polarization for both users and hashtags. #Polar scores provide advantages over existing measures because they (1) can be calculated throughout the legislative cycle, (2) allow for easy differentiation between users with similar scores, (3) are chamber-agnostic, and (4) are a generic approach that can be applied beyond the U.S. Congress. #Polar scores leverage available information such as party labels, word frequency, and hashtags to create an accessible, straightforward algorithm for estimating polarity using text. (from the paper: Hemphill, L., Culotta, A., and Heston, M. (forthcoming) #Polar Scores: Measuring partisanship using social media content. Journal of Information Technology & Politics.)
The dataset contains one plain text TSV file with the following information for each of the 55,244 tweets used to develop #Polar scores : tweet_id, created_at, user_id, screen_name, tag, shortid, sex, party, state, chamber, name. The file contains one row per hashtag, and therefore tweets may appear more than once. The Python code for calculating #Polar scores is available here: http://doi.org/10.5281/zenodo.53888
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Data from Tweet Acts: How Constituents Lobby Congress via Twitter
Title
Data from Tweet Acts: How Constituents Lobby Congress via Twitter
Creator
Hemphill, Libby, Roback, Andrew
Date
2013-09-19, 2012
Description
Sponsorship: Amazon Web Services Education Grants Program
Data presented in a CSCW 2014 paper titled Tweet Acts: How Constituents Lobby...
Show moreSponsorship: Amazon Web Services Education Grants Program
Data presented in a CSCW 2014 paper titled Tweet Acts: How Constituents Lobby Congress via Twitter. Libby Hemphill and Andrew J. Roback. 2014. Tweet acts: how constituents lobby congress via Twitter. In Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing (CSCW '14). ACM, New York, NY, USA, 1200-1210. DOI=10.1145/2531602.2531735http://doi.acm.org/10.1145/2531602.2531735
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Building science measurements in the Hospital Microbiome Project
Title
Building science measurements in the Hospital Microbiome Project
Creator
Stephens, Brent
Date
2014, 2014
Description
Sponsorship: Alfred P. Sloan Foundation’s program on the Microbiology of the Built Environment (Grant No. 2012-10-04)
Empirical Modeling of Public Safety to Voice Traffic to Aid Emergency Capacity
Title
Empirical Modeling of Public Safety to Voice Traffic to Aid Emergency Capacity
Creator
Taher, Tanim, Bacchus, Roger
Date
2012-04-18, 2012-04-18
Description
An RF measurement system with high time resolution is implemented to determine the statistical characteristics of various channels in the Land...
Show moreAn RF measurement system with high time resolution is implemented to determine the statistical characteristics of various channels in the Land Mobile Radio bands. The applicability of simple statistical models to the observed data is investigated, as well as their validity over short and long periods of time. The results show that the statistics of the idle and holding times of communication on these channels vary significantly over time and demonstrate daily periodicity, requiring non-stationary models to accurately represent them. Over short durations of time however, conventional distributions such as the exponential and lognormal may adequately characterize the properties of these quantities, allowing convenient and compact representations of the data. Results based on empirical data are presented to quantify the probability of stationarity for voice traffic within a time span of given length. The findings are useful for network planning or streamlining, network simulation and modeling, and investigation of dynamic spectrum access.
Sponsorship: National Science Foundation, Federal Communications Commission, Motorola, Cleversafe, Roberson & Associates LLC
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