Meta (academic company): Difference between revisions
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==History== |
==History== |
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Meta Inc., formerly Sciencescape Inc.,<ref>{{Cite web|title = Meta Launches Universal Machine Intelligence Platform to Unite the Fragmented Scientific Information Ecosystem|url = http://www.marketwatch.com/story/meta-launches-universal-machine-intelligence-platform-to-unite-the-fragmented-scientific-information-ecosystem-2015-11-03|website = MarketWatch|accessdate = |
Meta Inc., formerly Sciencescape Inc.,<ref>{{Cite web|title = Meta Launches Universal Machine Intelligence Platform to Unite the Fragmented Scientific Information Ecosystem|url = http://www.marketwatch.com/story/meta-launches-universal-machine-intelligence-platform-to-unite-the-fragmented-scientific-information-ecosystem-2015-11-03|website = MarketWatch |date=November 3, 2015 |accessdate = May 8, 2018}}</ref> was founded in 2010 by Sam and Amy Molyneux. Before co-founding Meta, Sam Molyneux studied [[cancer genomics]] at the [[Ontario Cancer Institute]] at [[Princess Margaret Cancer Centre|Princess Margaret Hospital]] in Toronto.<ref name=four /><ref name=nine /> The service was developed with the intention of curating the millions of articles in the area of academic publishing.<ref name=one /><ref name=two /><ref name=three /><ref name=nine /><ref name=seven /><ref name=eight /> |
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As of September 2016, Meta has analyzed over 26 million papers and profiled 14 million researchers.<ref name=eleven>{{citation|url=http://meta.com/about|title=About Meta|publisher=Meta|date=September 13, 2016|accessdate=September 13, 2016}}</ref> The company has struck deals with publishers in science, technology and mathematics fields, which give the company access to full-text versions of more than 18,000 journals. Using [[natural language processing]], Meta scans articles - as well as the millions of articles stored in open-access repositories - collecting information about authors, citations and topics. Participating publishers receive exposure for their journals in return.<ref name="twelve">{{citation|url=https://www.insidehighered.com/news/2016/05/10/start-sees-data-analytics-information-overload-cure-researchers-publishers/|title=Predictive Analytics for Publishing|publisher=Inside Higher Ed|author=Carl Straumsheim|date=May 10, 2016|accessdate=September 12, 2016}}</ref> These include the [[American Medical Association]], [[BioMed Central]], [[Elsevier]], [[Karger]], [[Sage Publishing]], [[Taylor & Francis]], [[Wolters Kluwer]], and the [[Royal Society]].<ref name="thirteen">{{citation|url=http://www.publishersweekly.com/pw/by-topic/digital/content-and-e-books/article/70118-digital-solutions-in-india-2016-big-data-and-ai-with-meta.html|title=Digital Solutions in India 2016: Big Data and AI with Meta|publisher=Publishers Weekly|author=Teri Tan|date=April 29, 2016|accessdate=September 12, 2016}}</ref><ref name="fourteen">{{citation|url=http://meta.com/partners|title=Partners|publisher=Meta|date=September 12, 2016|accessdate=September 12, 2016}}</ref> The technology for the platform was developed via a joint partnership between Meta and SRI International.<ref>{{Cite web|url=https://www.bizjournals.com/sanfrancisco/news/2017/01/25/chan-zuckerberg-initiative-meta-ai.html|title= |
As of September 2016, Meta has analyzed over 26 million papers and profiled 14 million researchers.<ref name=eleven>{{citation|url=http://meta.com/about|title=About Meta|publisher=Meta|date=September 13, 2016|accessdate=September 13, 2016}}</ref> The company has struck deals with publishers in science, technology and mathematics fields, which give the company access to full-text versions of more than 18,000 journals. Using [[natural language processing]], Meta scans articles - as well as the millions of articles stored in open-access repositories - collecting information about authors, citations and topics. Participating publishers receive exposure for their journals in return.<ref name="twelve">{{citation|url=https://www.insidehighered.com/news/2016/05/10/start-sees-data-analytics-information-overload-cure-researchers-publishers/|title=Predictive Analytics for Publishing|publisher=Inside Higher Ed|author=Carl Straumsheim|date=May 10, 2016|accessdate=September 12, 2016}}</ref> These include the [[American Medical Association]], [[BioMed Central]], [[Elsevier]], [[Karger]], [[Sage Publishing]], [[Taylor & Francis]], [[Wolters Kluwer]], and the [[Royal Society]].<ref name="thirteen">{{citation|url=http://www.publishersweekly.com/pw/by-topic/digital/content-and-e-books/article/70118-digital-solutions-in-india-2016-big-data-and-ai-with-meta.html|title=Digital Solutions in India 2016: Big Data and AI with Meta|publisher=Publishers Weekly|author=Teri Tan|date=April 29, 2016|accessdate=September 12, 2016}}</ref><ref name="fourteen">{{citation|url=http://meta.com/partners|title=Partners|publisher=Meta|date=September 12, 2016|accessdate=September 12, 2016}}</ref> The technology for the platform was developed via a joint partnership between Meta and SRI International.<ref>{{Cite web |url=https://www.bizjournals.com/sanfrancisco/news/2017/01/25/chan-zuckerberg-initiative-meta-ai.html|title=Chan Zuckerberg Initiative makes first buy, a Canadian artificial intelligence startup |website=www.bizjournals.com |date=January 26, 2017 |access-date=2018-03-16}}</ref> |
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==Features and specifications== |
==Features and specifications== |
Revision as of 23:52, 7 May 2018
Founders | Sam Molyneux, Amy Molyneux |
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Defunct | 31 March 2022 |
Headquarters | |
Area served | Academia, Government, Publishing, Industry |
Number of employees | 25-35 |
Website | meta |
Meta is a company performing big data analysis of scientific literature. The company is headquartered in Toronto, Ontario, Canada[1] and operates Meta Science, a literature discovery platform.[2][3][4] The company was acquired by the Chan Zuckerberg Initiative in 2017.[5]
History
Meta Inc., formerly Sciencescape Inc.,[6] was founded in 2010 by Sam and Amy Molyneux. Before co-founding Meta, Sam Molyneux studied cancer genomics at the Ontario Cancer Institute at Princess Margaret Hospital in Toronto.[4][7] The service was developed with the intention of curating the millions of articles in the area of academic publishing.[1][2][3][7][8][9]
As of September 2016, Meta has analyzed over 26 million papers and profiled 14 million researchers.[10] The company has struck deals with publishers in science, technology and mathematics fields, which give the company access to full-text versions of more than 18,000 journals. Using natural language processing, Meta scans articles - as well as the millions of articles stored in open-access repositories - collecting information about authors, citations and topics. Participating publishers receive exposure for their journals in return.[11] These include the American Medical Association, BioMed Central, Elsevier, Karger, Sage Publishing, Taylor & Francis, Wolters Kluwer, and the Royal Society.[12][13] The technology for the platform was developed via a joint partnership between Meta and SRI International.[14]
Features and specifications
Meta includes coverage of the biomedical sciences with real-time updates from PubMed and other sources.[1][15][16] The website provides access to over 22 million papers with publication dates as early as the 1800s.[8][9] By sifting through papers and learning from user behavior, the service pinpoints key pieces of research and provides relevant search results.[2] Meta also provides visualizations about a field of research by organizing papers by their date of publication and citation count and then presenting the information in a way that allows users to quickly identify key historical papers.[4]
The Meta Science research platform uses algorithms that allow users to sort new publications according to subject matter.[1] Users can subscribe to feeds for areas of research including biology, genes, diseases, genetic disorders, drugs, people, labs & institutes, and journals.[1][7][15]
Merge with Chan Zuckerberg Initiative
Meta merged with the Chan Zuckerberg Initiative in 2017, marking the Initiative's first acquisition.[5]
References
- ^ a b c d e Darrell Etherington (June 16, 2013), Sciencescape Wants To Solve Academic Research Discoverability, Deal With The Noise Problem, TechCrunch, retrieved January 12, 2014
- ^ a b c Sciencescape aims to sift through snowballing science research, Wired.co.uk, retrieved January 12, 2014
- ^ a b Candice So (June 13, 2013), Sciencescape cataloguing research papers everywhere, one essay at a time, itbusiness.ca, retrieved January 12, 2014
- ^ a b c The Data Visualizers, MaRS Commons Magazine, retrieved January 12, 2014
- ^ a b "Chan Zuckerberg Initiative acquires and will free up science search engine Meta – TechCrunch". techcrunch.com. Retrieved 2018-03-14.
- ^ "Meta Launches Universal Machine Intelligence Platform to Unite the Fragmented Scientific Information Ecosystem". MarketWatch. November 3, 2015. Retrieved May 8, 2018.
- ^ a b c Mashoka Maimona (June 13, 2013), Tech companies make final pitches at Extreme Startups 2013 demo day, Financial Post, retrieved January 12, 2014
- ^ a b Hazman Aziz (June 26, 2013), Sciencescape -- A new kid on the block, Hazman Labs, inc, archived from the original on July 3, 2013, retrieved January 12, 2014
{{citation}}
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suggested) (help) - ^ a b Vaibhav (June 18, 2013), Sciencescape in the Future of Scientific Research, TechnoGiants, retrieved January 12, 2014
- ^ About Meta, Meta, September 13, 2016, retrieved September 13, 2016
- ^ Carl Straumsheim (May 10, 2016), Predictive Analytics for Publishing, Inside Higher Ed, retrieved September 12, 2016
- ^ Teri Tan (April 29, 2016), Digital Solutions in India 2016: Big Data and AI with Meta, Publishers Weekly, retrieved September 12, 2016
- ^ Partners, Meta, September 12, 2016, retrieved September 12, 2016
- ^ "Chan Zuckerberg Initiative makes first buy, a Canadian artificial intelligence startup". www.bizjournals.com. January 26, 2017. Retrieved 2018-03-16.
- ^ a b Under The Hood, Sciencescape.org, retrieved January 12, 2014
- ^ Darrell Etherington (June 13, 2013), Extreme Startups Demo Day Wrap Up: Canadian Startups Make A Strong Showing, TechCrunch, retrieved January 12, 2014