- I-US Bureau of Labor Statistics iphrojekthi yososayensi bedatha izobona Ukukhula kwemisebenzi okungu-34.6% phakathi kuka-2025 no-2035, kwenezelwa imisebenzi emisha engu-95,400.
- Amanyuvesi aseMexico, eColombia, e-Argentina, nase-US aqala iziqu zesayensi yedatha ezintsha kanye nezinhlelo zokuqeqesha ukuze kuhlangatshezwane nesidingo esikhulayo semboni.
- Ithisisi entsha e-BUAP yaseMexico isebenzise ukufunda okuqinisiwe kanye nokufunda okujulile ukulingisa amasu okulawula ubhubhane, ikhombisa izinhlelo zokusebenza ze-AI zomhlaba wangempela.
Insimu yesayensi yedatha ibhekene nesiphepho esiphelele sokukhula kwesidingo kanye nokwanda kwamathuba emfundo. Ukuqagela kwakamuva okuvela kwi-US Bureau of Labor Statistics, okubikwe yi-FOX Business, kukhombisa ukuthi ososayensi bedatha bazobona ukwanda kwemisebenzi ngo-34.6% phakathi kuka-2025 no-2035, okudala izikhundla ezintsha ezingaba ngu-95,400 ezweni lonke. Lokhu kwenza kube umsebenzi wesithathu okhula ngokushesha e-United States, ulandela abahlengikazi kuphela kanye nabafaki be-solar photovoltaic, kuyilapho udlula ochwepheshe be-wind turbine kanye nososayensi bezocwaningo lwekhompyutha.
Okwamanje, izikhungo zemfundo kulo lonke elaseMelika ziyasabela kulesi sidingo ngezinhlelo ezintsha nokuqeqeshwa okukhethekile. Kusukela kumfundi ophothule iziqu ze-master science science yokuqala eMexico kuya kunethiwekhi entsha yezemfundo kazwelonke yaseColombia, kanye nohlelo lokuqeqesha olugxile embonini yase-Argentina, uhlelo lwezemfundo lushintsha ngokushesha. Ngisho ne-US ibona amanyuvesi afana ne-University of Buenos Aires eqala iziqu ze-short-track ezihlose ukugcwalisa igebe lamakhono.
Izinombolo Ezingemuva Kwe-Boom
I-US Bureau of Labor Statistics ibikezela ukuthi inani lamathuba omsebenzi lizokhuphuka lisuka ku-170.3 million liye ku-176.2 million phakathi nesikhathi sika-2025-2035—ukwanda kwezikhundla eziyizigidi ezingu-5.9, okumele izinga lokukhula elingu-3.5%. Nakuba lokho kuhamba kancane kunokukhula okungu-10.9% okubonwe phakathi kuka-2015 no-2025, umsebenzi wesayensi yedatha uvelele ngomfutho wawo omangalisayo. Ukubekwa kwezikhundla zemisebenzi eyi-10 ekhula ngokushesha kuphethwe yizindima zezempilo, kodwa izikhundla zobuchwepheshe nezamandla nazo zivelele.
Ukuqagela kwendawo yesithathu kososayensi bedatha ekukhuleni okungu-34.6% kuhumushela emisebenzini emisha engu-95,400 , inani elikhulu uma kuqhathaniswa nezikhundla ezintsha zochwepheshe be-wind turbine ezingu-3,500 noma izindima ezintsha zososayensi bezocwaningo lwekhompyutha ezingu-8,400. Lokhu kukhula okuqinile kubonisa ukuthembela okwandayo ekwenzeni izinqumo eziqhutshwa idatha kanye nokulingisa kuzo zonke izimboni, kusukela kwezezimali kuya kwezempilo kuya ekukhiqizeni.
Iziqu Zokuqala e-BUAP Ziphawula Ingqophamlando
Entuthukweni ephawulekayo yemfundo yesayensi yedatha yaseLatin America, u-José de Jesús Hernández Higuera ube ngowokuqala iziqu ze-Master's in Data Science Research e-Benemérita Universidad Autónoma de Puebla (BUAP). Ithesis yakhe, enesihloko esithi “Integración del aprendizaje automático para la búsqueda de estrategias de control epidemiológico,” yayigadwe uDkt. Jorge Velázquez Castro futhi yavikeleka ngempumelelo ukuze athole iziqu.
Ucwaningo luhlanganise amagatsha amabili ayinhloko okufunda komshini: Ukufunda Okuqinisiwe kanye nokufunda Okujulile . Ingxenye yokufunda okuqinisiwe ilingise indawo yezifo ezibangelwa yizifo ngokusekelwe kumodeli yezibalo ye-SIR (Ethintekayo, Ethelelekile, Etholakele), evumela ithimba ukuthi lithole amasu afanele okulawula izifo. Ingxenye yokufunda okujulile ithuthukise ukusebenza kahle kwe-algorithm ngamanethiwekhi e-neural okwenziwa, kuyilapho i-algorithm ye-Q-learning—evame ukusetshenziswa ku-AI yomdlalo wevidiyo—isize ekuboniseni ukuziphatha okuguquguqukayo.
Izinhlelo Ezintsha Zezemfundo Kuyo Yonke Isifunda
Amanyuvesi kulo lonke elaseLatin America andisa iminikelo yawo yesayensi yedatha. I-University of Buenos Aires (UBA) iqalise iDigri Yobuchwepheshe entsha ekuPhathweni Kwedatha kanye Nokuhlaziywa Kwezinhlangano, uhlelo lwezifundo eziyi-13, lweminyaka engu-2.5 olunikezwa mahhala nge-Faculty of Economic Sciences. Uhlelo lwezifundo luhlanganisa uhlelo lwe-Python kanye ne-RStudio , izibalo ezisetshenzisiwe, ukuboniswa kwedatha, amamodeli okufunda komshini, kanye nezinhlelo zokusebenza ze-AI, ngamakilasi anikezwa ngefomethi ehlanganisiwe—izinsuku ezimbili mathupha kanye nezinsuku ezimbili ku-inthanethi.
EColombia, iCatholic University of Colombia yahlanganyela emhlanganweni wokuqala wezinhlelo zesayensi yedatha kanye ne-AI, obizwe yi-Colombian Association of Engineering Faculties (ACOFI). Lo mhlangano waholela ekudalweni kwe- Colombian Network of Academic Programs in Data Science, AI, kanye nama-Related Fields , okuhloswe ngawo ukwabelana ngengqalasizinda kanye nokuthuthukisa amaphrojekthi ocwaningo olubambisene. Inethiwekhi iphinde yaxoxa ngokulungiselela i-quantum computing kanye namasu okuzimela kwedijithali.
Izinhlelo Zokuqeqesha Eziqhutshwa Yimboni
I-Argentina ithatha indlela esebenzayo ngohlelo lwe-DATA UP, isinyathelo esihlanganyelwe phakathi kwe-Federal Council of Engineering Deans (Confedi) kanye ne-YPF Foundation. Lolu hlelo luhlinzeka ngezimali zengqalasizinda kanye nemishini, usizo lobuchwepheshe olufika emahoreni angu-40, kanye neplatifomu yokubambisana yokwabelana ngamasethi edatha kanye nemikhuba yokufundisa. Izikhungo ezibambe iqhaza kumele zithumele amaphrojekthi afaka okungenani izingxenye ezintathu kwezine: ukubamba noma ukukhiqiza idatha, ukuhlelwa kwedatha kanye nokuhlelwa kwayo, ukutholakala kanye nokufinyelela, noma ukuthuthukiswa kokufundisa kanye nokuhlanganiswa kwekharikhulamu.
Lolu hlelo luhlose izindawo ezibalulekile njengokuhlola , ukwenza ngcono inqubo yokukhiqiza, kanye nokugcinwa kokubikezela embonini ekhuphukayo ye-hydrocarbon, kuhloswe ukuvala igebe phakathi kokuqeqeshwa kwezemfundo kanye nezidingo zemboni yangempela. Njengoba uGustavo Schiappacasse, umqondisi omkhulu we-YPF Foundation, ephawulile, lolu hlelo luhlanganisa amathuluzi esayensi yedatha ekusetshenzisweni kwemboni yamandla ngenkathi kuqinisa ukuxhumana phakathi kweyunivesithi nemboni.
Ikusasa Lemfundo Yesayensi Yedatha
Ukuhlangana kwezibikezelo zokukhula kwemisebenzi okuqinile kanye nokwanda kwamathuba emfundo kukhomba ikusasa eliqhakazile lesayensi yedatha. Isibikezelo se-US Bureau of Labor Statistics sihambisana nemikhuba yomhlaba wonke egcizelela ukubaluleka kwamakhono okuhlaziya ekuxazululeni izinkinga eziyinkimbinkimbi. Kusukela ekulingiseni ukulawulwa kobhubhane e-BUAP kuya edigrini entsha yobuchwepheshe e-UBA kanye namanethiwekhi okubambisana akhiwa eColombia nase-Argentina, lo mkhakha uthuthukisa umzila oqinile wamathalente.
Njengoba izimboni kuzo zonke izikhungo zezempilo, amandla, ezezimali kanye nobuchwepheshe zithembela kakhulu ekuqondeni okusekelwe kudatha, isidingo sososayensi bedatha abanamakhono asibonisi zimpawu zokuncipha. Izimpendulo zemfundo—ezisukela ezidigrini zobuchwepheshe ezimfushane kuya ezinhlelweni ze-master zocwaningo oluthuthukisiwe—zibonisa ukuthi izikhungo zilalela izidingo zemakethe futhi zivumelana nezimo ngokufanele. Njengoba kulindelwe imisebenzi emisha engu-95,400 yase-US kanye nokukhula okufanayo okungenzeka kwezinye izifunda, isayensi yedatha isalokhu ingenye yezindlela zomsebenzi ezithembisayo kakhulu eminyakeni eyishumi ezayo. Ukuhlanganiswa kwamathuba okuqashwa aqinile kanye nokwanda kokufinyelela kwezemfundo kuqinisekisa ukuthi insimu izoqhubeka nokuheha ochwepheshe abanamakhono abakulungele ukuguqula ulwazi olungavuthiwe lube ulwazi olusebenzayo.
