首页
登录
职称英语
The National Ecological Observatory Network, funded by Congress for $434 mil
The National Ecological Observatory Network, funded by Congress for $434 mil
游客
2024-11-22
37
管理
问题
The National Ecological Observatory Network, funded by Congress for $434 million, will equip 106 U. S. sites with sensors to gather ecological data all day, every day, for 30 years after it goes operational in 2017. The Human Brain Project, supported by $1.6 billion from the European Union, intends to create a supercomputer simulation of a working human brain, including all 86 billion neurons and 100 trillion synapses(神经键). The International Cancer Genome(基因组)Consortium, 74 research teams across 17 countries spending an estimated $ 1 billion, is compiling 25,000 tumor genome sequences from 50 types of cancers. Big data is big business in the life sciences, attracting lots of money and prestige. It’s relatively young: the move toward big data can be traced back to 1990, when researchers joined together to sequence all 3 billion letters in the human genome. That project concluded in 2003, and since then, the life sciences have become a data juggernaut(强大的破坏力), propelled forward by new sequencing and imaging technologies that accumulate data at astonishing speeds.
But not all scientists think bigger is better. As of July 9, 2014, for example, more than 450 researchers had signed a public letter criticizing the Human Brain Project, citing a "significant risk" that the project will fail to meet its goal. One neuroscientist called the project " a waste of money," while another bluntly said the idea of simulating the human brain is downright "crazy". Other big data projects have also been criticized, especially for cost and lack of results. The core of recent criticisms against big data projects is the concern that expensive, massive data sets on biological phenomena—including the brain, the genome, the biosphere(生物圈)and more—won’t necessarily lead to scientific discoveries. " One of the problems with ideas about big data is the implicit notion that simply having lots of data will answer questions for you, and it won’t," says J. Anthony Movshon, a neuroscientist at New York University. Large data sets are useful only when combined with the right tools and theories to interpret them, he says, and those have largely been lacking in the life sciences. That’s one reason biological data is piling up far faster than it is being analyzed. "We have an inability to slow down and focus," says Kenneth Weiss, an evolutionary geneticist at Penn State University. "I wouldn’t say big data is bad, but it’s a fad, and we’re not learning a lesson from it. "
Other areas of science, such as physics and astronomy, have a rich history of big data, as well as the organization and infrastructure to use that data. Take the Hubble Space Telescope, which has made 1 million observations, amounting to over 100 terabytes of data, since its launch in 1990. More than 10,000 scientific articles have been published using that data, including the discovery of dark energy and the age of the universe. Or consider the Large Hadron Collider, a particle accelerator that produces tens of terabytes of data each night. In 2012, that data confirmed the existence of the Higgs boson, also called the " God particle," among other high-profile discoveries in particle physics. The life sciences, on the other hand, have barreled(高速行进)ahead in data collection without the ability to determine which types of data are most useful, how to share it, or how to reproduce results. Research and funding institutions recognize this limitation, says Philip Bourne, associate director for data science at the National Institutes of Health, and the NIH is working to set aside funding and manpower to find ways to make data usable. Bourne is optimistic: " Making full use of very large amounts of data takes time, but I think it will come," he says.
Bourne and others, like David Van Essen, lead investigator of the $40 million NIH-funded Human Connectome Project(HCP), believe that gathering data first and asking questions second is a new, exciting way to make discoveries about the natural world. The HCP, a consortium of 36 investigators at 11 institutions, is a big data effort to map the connections in the brain using high-resolution brain scans and behavioral information from 1,200 adults. According to the project’s website, the HCP data set will "reveal much about what makes us uniquely human and what makes every person different from all others. " On the other hand, there’s not a single hypothesis in sight. This is a fundamentally different way of doing science from hypothesis-driven experiments, the traditional bedrock of the scientific method, and many researchers have their doubts about it. " Science depends upon predictions being generated and those hypotheses being tested," says ecologist Robert Paine of the University of Washington. "Mega models won’t bring us to the promised land. " Others say the effort required to gather the data simply doesn’t warrant the price tag: " The idea that you should collect a lot of information because somewhere in this chaff(谷壳)is a little bit of wheat is a poor case for using a lot of money," says Movshon. [br] Which of the following is NOT a shared characteristic of the projects mentioned in the first paragraph?
选项
A、Focusing on the field of life science.
B、Being supported by government.
C、Spending large amounts of money.
D、Dealing with a massive quantity of data.
答案
B
解析
细节题。由题干定位至第一段。第一段介绍了三个科研项目:The National EcologicalObservatory Network,The Human Brain Project和The International Cancer Genome Consortium,第一个项目由美国国会资助,第二个项目由欧盟资助,第三个项目没有交代背后支持者,因此,“政府支持”不是这三个科研项目的共同特征,故答案为[B]。
转载请注明原文地址:http://tihaiku.com/zcyy/3857282.html
相关试题推荐
吸收外来移民,是加拿大长期奉行的国策。Todrawinimmigrantshasbecomealong-termnationalpolicy
这所全国重点大学为社会输送了大批的人才。Thisnationalkeyuniversityhaspreparedbatchesofqualifi
ForadevelopingcountrylikeIndiawhoseecologicalandsocio-economicsys
ForadevelopingcountrylikeIndiawhoseecologicalandsocio-economicsys
ForadevelopingcountrylikeIndiawhoseecologicalandsocio-economicsys
ForadevelopingcountrylikeIndiawhoseecologicalandsocio-economicsys
ForadevelopingcountrylikeIndiawhoseecologicalandsocio-economicsys
TheNationalEcologicalObservatoryNetwork,fundedbyCongressfor$434mil
[originaltext]Now,listentoPartOneoftheinterview.M:(1)NationalBookAwar
[originaltext]Now,listentoPartOneoftheinterview.M:(1)NationalBookAwar
随机试题
申请设立期货公司,应当符合《中华人民共和国公司法》的规定,其具备的条件包括()。A、注册资本最低限额为人民币5000万元B、有符合法律、行政法规规
The______loansavedtheautomobilemanufacturingcompanyfromgoingbankrupt.A
[originaltext]Thenon-governmentalenvironmentalgroupGreenpeacereportsthat
素菜的特点有()A.营养独特,健身疗疾 B.选料极广,珍品繁多,制作考究 C
以《漫画》为例,列举教师在美术教学中激发学生学习兴趣的三种方法。
A.权利B.良心C.审慎D.义务E.情感病人余先生,因大叶性肺炎住进内科病房,经
有人说:阅读最直接的作用,就是让人以最便捷的方式,接触到其他人类的经验和已经做出
某汽车生产企业为增值税一般纳税人,2021年8月生产经营情况如下: (1)购进
甲公司为增值税一般纳税人,2021年6月库存材料因管理不善发生火灾损失,材料实际
项目监理机构对监理单位内部检测设备需求进行协调平衡时应该注意的内容有()。A.规
最新回复
(
0
)