Ayyukan

key:

  • mataki na wahala: sauki sauki , matsakaici matsakaici , m wuya , Da wuya wuya
  • bukatar ilimin lissafi ( bukatar ilimin lissafi )
  • bukatar coding ( bukatar coding )
  • data tarin ( data tarin )
  1. [ wuya , bukatar coding , data tarin ] Daya daga cikin mafi m da'awar daga Benoit et al. (2015) a kan taron-coding siyasa manifestos shi ne cewa sakamakon reproducible. Merz, Regel, and Lewandowski (2016) bayar da damar yin amfani da Shelar Corpus. Ka yi kokarin haifa siffa 2 daga Benoit et al. (2015) ta yin amfani da ma'aikata daga Amazon Mechanical Turk. Ta yaya irin wannan kasance your results?

  2. [ matsakaici ] A cikin InfluenzaNet aikin sa kai a panel mutane bayar da rahoton abin da ya faru, ruwan dare, da kuma kiwon lafiya da neman hali alaka mura-kamar rashin lafiya-(Ili) (Tilston et al. 2010; Noort et al. 2015) .

    1. Kwatanta da bambanci da zane, ta halin kaka, da kuma m kurakurai a InfluenzaNet, Google Mura Trends, da na al'ada mura tracking tsarin.
    2. Ka yi la'akari da an asalin {lokaci, kamar alade mura fashewa. Bayyana m kurakurai a kowace hanya.
  3. [ wuya , bukatar coding , data tarin ] The Economist ne a mako-mako news magazine. Create mutum ƙidãyar aikin ganin idan da rabo daga mata ga mutãne a kan murfin ya karu a kan lokaci.

    1. The magazine iya samun daban-daban inuwõyi a takwas yankuna daban-daban (Afirka da Asiya Pacific, Turai, Tarayyar Turai, Latin America, Gabas ta Tsakiya, North America, da United Kingdom) da kuma za su iya duka a sauke daga website na The Economist . Pick daya daga cikin wadannan yankuna da yi bincike. Lalle ne haƙĩƙa, don bayyana your hanyoyin da isa daki-daki, abin da suka iya replicated da wani.

    Wannan tambaya da aka yi wahayi zuwa da irin wannan shiri da Justin Tenuto, a data masanin kimiyya a dandazon kamfanin CrowdFlower , gani "Time Magazine Yake Likes Dudes" .

  4. [ wuya , bukatar coding , data tarin ] Gina a kan tambaya a sama, yanzu yi bincike ga dukan takwas yankuna.

    1. Abin da bambance-bambance ba za ka samu a fadin yankunan?
    2. Nawa karin lokaci da kudi bai kai ga hawansa-up your bincike ga duk takwas daga cikin yankuna?
    3. Ka yi tunanin cewa yana da Economist 100 daban-daban inuwõyi kowane mako. Kimanta nawa karin lokaci da kudi zai yi to hawansa-up your analysis zuwa 100 inuwõyi na mako daya.
  5. [ wuya , bukatar coding ] [Kaggle] (https://www.kaggle.com/) wani website wanda runduna bude kira ayyukan. Shiga a cikin daya daga cikin wadanda ayyukan.

  6. [ matsakaici ] Duba ta 'yan batun a mujallar a cikin filin. Ashe, akwai wani takardunku da zai iya an reformulated matsayin bude kira ayyukan? Me yasa i ko a'a?

  7. [ sauki ] Purdam (2014) ya bayyana a rarraba data tarin game rokon a London. Takaita karfi da kuma kasawan wannan bincike zane.

  8. [ matsakaici ] Redundancy da muhimmanci hanyar tantance ingancin rarraba data collection. Windt and Humphreys (2016) ci gaba da kuma gwada a tsarin tattara rahotanni na rikici events daga mutane a Eastern Congo. Karanta takarda.

    1. Ta yaya m zane tabbatar redundancy?
    2. Suna bayar da dama hanyoyin inganta da bayanan da aka tattara daga aikin. Takaita da su. Wanne ya fi tabbatacce a gare ku?
    3. Shawara da wani sabon hanyar da data za a iya inganta. Shawarwari ya kamata ka yi kokarin kara amincewa da cewa za ka yi a cikin data a hanyar da yake kudin-tasiri da da'a.
  9. [ matsakaici ] Karim Lakhani da kuma abokan aiki (2013) halitta wani kira a bayyane zuwa ga nẽman sabon Algorithms warware matsala in mai aiki da na'urar kwamfuta ilmin halitta. Suka samu fiye da 600 dangana dauke da 89 labari mai aiki da na'urar kwamfuta fuskanci. Daga cikin dangana, sun samu 30 cewa zarce wasan kwaikwayon na US National Confucius Lafiya ta MegaBLAST, kuma mafi kyau biyayya cimma biyu mafi girma daidaito da kuma gudun (1,000 sau sauri).

    1. Read da takarda, sa'an nan kuma ba da shawara a social bincike matsalar da zai iya amfani da wannan irin bude hamayya. Musamman ma, irin wannan bude hamayya ne mayar da hankali a kan mugun gudu sama da inganta wasan kwaikwayon na data kasance algorithm. Idan ba za ka iya tunani na matsalar, kamar wannan a cikin filin, kokarin bayyana dalilin da ya sa ba.
  10. [ matsakaici ] Kuma da yawa mutum ƙidãyar ayyukan dogara mahalarta daga Amazon Mechanical Turk. Shiga-up ya zama ma'aikacin on Amazon Mechanical Turk. Ku ciyar sa'a daya aiki a can. Ta yaya wannan tasiri your tunani game da zane, quality, da kuma xa'a na mutum compuation ayyukan?