Tag Archive | computer science

Spatial Computing 2020 Report Released

This one-and-a-half-day NSF/CCC sponsored visioning workshop on Spatial Computing outlined an effort to develop and promote a unified agenda for Spatial Computing research and development across US agencies, industries, and universities (Report PDF).

The workshop identified (1) fundamental research questions for individual computing disciplines and (2) cross-cutting research questions requiring novel, multi-disciplinary solutions. The workshop included US leaders in academia and the public sector. Results of this workshop were presented to the NSF in order to inform possible funding initiatives.

The workshop included presentations from invited thought-leaders and agency representatives, brainstorming, and interactive demos and focus group sessions with spatial computing professionals.

Workshop agenda and participant list

Download the report (pdf) here:



Crowdsourcing: Improving the Quality of Scientific Data Through Social Networking

Dear colleague:

You are cordially invited to attend a public symposium on Crowdsourcing: Improving the Quality of Scientific Data Through Social Networking. The event is being organized by the National Research Council’s Board on Research Data and Information, and will be held on June 13 in Washington, DC at the Embassy Suites, 900 10th Street, NW. A formal invitation with the summary description of the symposium, the exact location, and RSVP instructions may be found below.

Please feel free to forward this invitation to others who you think may be interested. Registrations will be honored on a first-come-first-served basis. More complete information about the event and about the Board on Research Data and Information is available at: http://www.nationalacademies.org/brdi.

Best wishes,

Paul F. Uhlir
Director, Board on Research Data and Information
puhlir [at] nas [dot] edu

Crowdsourcing: Improving the Quality of Scientific Data Through Social Networking


Organized by the
Board on Research Data and Information

National Research Council

Monday, June 13, 2011, 4:00 p.m. – 6:15 p.m.  
Embassy Suites, 900 10th Street, NW, Washington, DC
Crowdsourcing may be described as a distributed information production and problem-solving activity, today performed mostly online. The technique invites contributions on one or more specific issues or problems, either from a targeted group or the general public. Although there are many types of crowdsourcing applications in many sectors and businesses, the public research community has used the techniques extensively in recent years.
According to Wikipedia, itself a highly successful crowdsourcing initiative, there are many perceived benefits to this model (see www.en.wikipedia.org/wiki/Crowdsoucing; last visited May 27, 2011):
  • Various topics can be addressed at a low cost and usually quite rapidly, frequently with no payments to the contributors;
  • The organization doing the crowdsourcing can greatly broaden the potential contributions beyond its own employees and direct contacts;
  • The crowdsourcing activity may be able to provide the views of many prospective customers or other interested parties, and can initiate and develop relationships that would be difficult or impossible to initiate otherwise.
Different internet services can be used for online crowdsoucing, from traditional websites and emails, to social networking sites, such as Facebook. Because of the growing use and potential importance of this technique to various research applications, including the improvement of scientific information resources, the Board on Research Data and Information is holding a public symposium in the afternoon of Monday, June 13, beginning at 4:00 p.m. The symposium will explore some of the key issues underlying crowdsourcing, provide several compelling examples, and offer an opportunity for the audience to discuss this topic with a number of experts and practitioners. We are pleased to offer the following program, moderated by Prof. Michael Lesk of Rutgers University, and chair of the Board on Research Data and Information:
Roberta Balstad, Columbia University
The first crowdsourcing experiment: lessons learned
Gregory Phelan, State University of New York at Cortland
Use of crowdsourcing online in scientific research
Scott Hausman, NOAA National Climatic Data Center
Engaging the public in climate science: exploiting crowdsourcing to
digitize and analyze climate data
[Presenter TBD]
The GEO wiki project
Benjamin Heywood, CEO PatientsLikeMe (invited)
[Presentation title TBD]
Comment by Michael Keller, Stanford University and BRDI Member
Panel discussion of invited speakers and Board members
General discussion with the audience

The symposium is open to the public, but advance registration is requested
(contact: Cheryl Levey, clevey [at] nas [dot] edu).

The Future of Scientific Knowledge Discovery in Open Networked Environments: A National Symposium and Workshop

The Future of Scientific Knowledge Discovery in Open Networked Environments:
A National Symposium and Workshop
Washington, DC, March 10-11, 2011

The Symposium is free and open to the public, but advance registration is requested. Please RSVP to Cheryl Levey atclevey@nas.edu.

Board on Research Data and Information
in collaboration with
Computer Science and Telecommunications Board
National Academy of Sciences

[ Summary ] [ Meeting Agenda ] [ Steering Committee Members ]


Digital technologies and networks have enhanced access to and use of scientific data, information, and literature significantly, and also have great promise for accelerating the discovery and the communication of knowledge both within the scientific community and in the broader society. This is particularly the case for scientific data and information that are openly available online. Scientific knowledge discovery in open networked environments, referred to in this proposal as computer-mediated or computational scientific knowledge discovery, may be defined as a research process that is enabled by different digital computing technologies such as data mining, information retrieval and extraction, artificial intelligence, distributed grid computing, and many other automated methods. Together, these technological capabilities are supporting the emergence of computer-mediated knowledge discovery as a new paradigm in the conduct of research.

A symposium and workshop will be convened in Washington, DC to bring together key stakeholders in this area for intensive and structured discussions in order to obtain a better understanding of the state-of-the-art and future trends in the study of computational scientific knowledge discovery in the open online environment and to develop a range of options for future work in this area. Specifically, the project will be performed pursuant to the following statement of task:

Read More…

Inferring Social Ties from Geographic Coincidences

Inferring social ties from geographic coincidences

We investigate the extent to which social ties between people can be inferred from co-occurrence in time and space: Given that two people have been in approximately the same geographic locale at approximately the same time, on multiple occasions, how likely are they to know each other? Furthermore, how does this likelihood depend on the spatial and temporal proximity of the co-occurrences? Such issues arise in data originating in both online and offline domains as well as settings that capture interfaces between online and offline behavior. Here we develop a framework for quantifying the answers to such questions, and we apply this framework to publicly available data from a social media site, finding that even a very small number of co-occurrences can result in a high empirical likelihood of a social tie. We then present probabilistic models showing how such large probabilities can arise from a natural model of proximity and co-occurrence in the presence of social ties. In addition to providing a method for establishing some of the first quantifiable estimates of these measures, our findings have potential privacy implications, particularly for the ways in which social structures can be inferred from public online records that capture individuals’ physical locations over time.

For full text of the article, click here.

Source: PNAS, December 27, 2010, Vol. 107, Issue 52

Authors: David J. Crandalla, Lars Backstromb, Dan Cosleyc, Siddharth Surib,Daniel Huttenlocherb, and Jon Kleinbergb.

Edited by: Ronald L. Graham, University of California, San Diego, La Jolla, CA, and approved October 25, 2010 (received for review May 16, 2010).

US Dept of Labor Announces Geospatial Technology Competency Model

US Department of Labor announces release of Geospatial Technology Competency Model

WASHINGTON — The U.S. Department of Labor’s Employment and Training Administration today announced the release of an industry competency model for geospatial technology. There are now 16 models available on the Competency Model Clearinghouse available through the department’s One-Stop Career Centers website. The Geospatial Technology Competency Model has been developed by researching and analyzing publicly available resources, existing skill standards, competency-based curricula and certifications to provide an employer-driven framework of the skills needed for success in geospatial technology.

“Competency models offer workers an opportunity to learn what it takes to enter a particular field,” said Secretary of Labor Hilda L. Solis. “The geospatial model serves as a guide for those who want to both find a good job and map out a long-term career pathway in any of several geospatial technology fields including surveying and mapping, computer science and information science.”

The model will serve as a resource for career guidance, curriculum development and evaluation, career pathway development, recruitment and hiring, continuing professional development, certification and assessment development, apprenticeship program development and outreach efforts to promote geospatial technology careers.

ETA worked with employer and education partners for two years to develop and validate a model that represents the broad range of services, technical and manufacturing professions, and products within the fields of geography, surveying and mapping, computer science, information science and other specialized areas of application that comprise geospatial technology. The GeoTech Center, a government, academia and industry partnership funded, in part, by a grant from the National Science Foundation and based at Del Mar College, led the validation process.

The model builds on previous efforts to describe geospatial industry skill needs, including the Geospatial Technology Competency Model developed at the University of Southern Mississippi. The new model groups competencies into foundational competencies, core geospatial competencies and competencies for three geospatial sectors: positioning and data acquisition, analysis and modeling, and software and application development.

To access the new competency model, visit the Competency Model Clearinghouse at http://www.careeronestop.org/competencymodel/.

For more information on the range of Department of Labor employment and training programs visit http://www.doleta.gov.

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