This HTML5 document contains 56 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
dcthttp://purl.org/dc/terms/
yago-reshttp://yago-knowledge.org/resource/
n7http://www.techcastglobal.com/
dbohttp://dbpedia.org/ontology/
foafhttp://xmlns.com/foaf/0.1/
n16http://www.nap.edu/
n10https://global.dbpedia.org/id/
yagohttp://dbpedia.org/class/yago/
dbthttp://dbpedia.org/resource/Template:
rdfshttp://www.w3.org/2000/01/rdf-schema#
freebasehttp://rdf.freebase.com/ns/
n22http://www.emeraldinsight.com/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
owlhttp://www.w3.org/2002/07/owl#
wikipedia-enhttp://en.wikipedia.org/wiki/
n11https://www.feedbie.com/seven-digital-marketing-trends-to-expect-in-2017/
dbchttp://dbpedia.org/resource/Category:
dbphttp://dbpedia.org/property/
provhttp://www.w3.org/ns/prov#
xsdhhttp://www.w3.org/2001/XMLSchema#
wikidatahttp://www.wikidata.org/entity/
dbrhttp://dbpedia.org/resource/
n15http://www.palgrave.com/products/

Statements

Subject Item
dbr:TechCast_Project
rdf:type
yago:ThinkTank108478702 yago:SocialGroup107950920 yago:Institution108053576 yago:Abstraction100002137 yago:YagoPermanentlyLocatedEntity yago:YagoLegalActor yago:YagoLegalActorGeo yago:Company108058098 yago:Group100031264 yago:WikicatThinkTanksBasedInTheUnitedStates yago:Organization108008335
rdfs:label
TechCast Project
rdfs:comment
The TechCast Project uses collective intelligence to forecast emerging technologies, social trends and wild cards for planners and decision makers. Founded at George Washington University years ago, their website (www.techcastproject.com) pools background data and the knowledge of 130 experts worldwide to forecast breakthroughs in all fields and to assess their economic and social impact. Results are subscribed to corporations, governments, and the public around the globe.
dct:subject
dbc:George_Washington_University dbc:Think_tanks_based_in_Washington,_D.C.
dbo:wikiPageID
25439382
dbo:wikiPageRevisionID
1101738053
dbo:wikiPageWikiLink
dbr:Engineer dbr:Saudi_Arabia dbr:Kuala_Lumpur dbr:George_Mason_University dbr:William_E._Halal dbc:George_Washington_University dbr:World_Future_Society dbc:Think_tanks_based_in_Washington,_D.C. dbr:Newsweek dbr:Asian_Development_Bank dbr:Research_scientist dbr:Korea dbr:Singapore dbr:George_Washington_University dbr:Corporation dbr:Government dbr:The_Washington_Post dbr:Scholar dbr:Interview
dbo:wikiPageExternalLink
n7: n11: n15:title.aspx%3Fpid=276681 n16:catalog.php%3Frecord_id=12834%23description n22:journals.htm%3Farticleid=1628274&show=abstract
owl:sameAs
wikidata:Q7692114 freebase:m.09k55vf n10:4veqz yago-res:TechCast_Project
dbp:wikiPageUsesTemplate
dbt:Citation_needed dbt:Reflist dbt:GWU
dbo:abstract
The TechCast Project uses collective intelligence to forecast emerging technologies, social trends and wild cards for planners and decision makers. Founded at George Washington University years ago, their website (www.techcastproject.com) pools background data and the knowledge of 130 experts worldwide to forecast breakthroughs in all fields and to assess their economic and social impact. Results are subscribed to corporations, governments, and the public around the globe. The TechCast forecasting system was developed by Professor and his associates at George Washington University and George Mason University. An earlier version called "The GW Forecast" was conducted by mail, but the online version has been operating since 1998. TechCast researchers and editors scan the literature and media, interview authorities, and draw on various other sources to identify trends and background data on roughly 100 forecasts covering the entire strategic landscape. This data is summarized to guide the estimates of 130 plus technology officers, research scientists and engineers, scholars, and other experts to estimate of the most likely year each breakthrough will occur, the potential economic demand, social impact, and experts' confidence. TechCast is somewhat unusual in that it tries to carry forecasting to the level of a global advisory service that provides authoritative forecasts covering all fields and updated in real time. The forecasts are also validated annually by comparing them to actual arrivals over the past 20 years, showing that results are accurate within roughly +/- 3 years. The research method is quite general, so it can be used to forecast almost anything, and the process enhances understanding. The project has been recognized as possibly the best forecasting system in the world. The U.S. national Academies cited it as one of the top-three systems available. It was awarded First Prize in an AOL competition for creative IT research, and has been featured in The Washington Post, Newsweek, The Futurist, and scientific publications. Its panel of experts has conducted customized studies for the U.S. Federal agencies, Corning, AMD, Asian Development Bank, Saudi Arabia, Korea, Singapore, and Kuala Lumpur.
prov:wasDerivedFrom
wikipedia-en:TechCast_Project?oldid=1101738053&ns=0
dbo:wikiPageLength
3297
foaf:isPrimaryTopicOf
wikipedia-en:TechCast_Project
Subject Item
dbr:Futures_studies
dbo:wikiPageWikiLink
dbr:TechCast_Project
Subject Item
dbr:Delphi_method
dbo:wikiPageWikiLink
dbr:TechCast_Project
Subject Item
dbr:Technology_forecasting
dbo:wikiPageWikiLink
dbr:TechCast_Project
Subject Item
wikipedia-en:TechCast_Project
foaf:primaryTopic
dbr:TechCast_Project