DrivenData, i le galulue faʻatasi ma HeroX, ua faʻasalalau a latou tauvaga faʻatauvaʻa fou e fai ma sui o NASA: Mars Spectrometry, Suʻesuʻe Faʻamaoniga mo le Faʻasalalau Faʻatasi. O le lu'itau, lea e ofoina atu le $30,000 fa'ailoga ato tupe, o lo'o sailia ni auala fou e otometi ai ona fesoasoani i le su'esu'eina ma le fa'auigaina o su'esu'ega kesi-mass spectrometry fa'amatalaga e feso'ota'i ma su'esu'ega Mars. O nei fa'amaumauga e mai i fa'ata'ita'iga fa'asaienisi fa'asaienisi e malamalama atili ai i fa'ailoga o le paneta o lo'o nofo ai i aso ua mavae.

O se tasi o suʻesuʻega faʻasaienisi sili ona taua o le paneta i tausaga talu ai o Mars sa iai tulaga faʻalesiosiomaga na ono mafai ona nofo ai i aso ua mavae. O le malamalama pe faʻafefea ona suia nei tulaga e taua tele i le malamalama i tulaga o Mars mo le nofo ai i le taimi. Mo nei su'esu'ega, ua auina atu le tele o rovers malolosi ma malolosi i Mars e aoina mai ma'a fa'ata'ita'iga ma fai fua e mafai ona fa'aoga e iloa ai a latou vaila'au. E le gata i lea, e faitau afe faʻataʻitaʻiga ua suʻesuʻeina i fale suʻesuʻe i luga o le lalolagi e fesoasoani ai i saienitisi ia malamalama i le faʻamatalaga mo faʻamaumauga na aoina i Mars. E ala i le fa'aogaina o le tele o fa'ata'ita'iga fa'ata'ita'iga lagolago na faia i fa'ata'ita'iga papa fa'atusa, e mafai ona atia'e metotia fa'asaienisi fa'amaumauga ina ia lagolago ai saienitisi i a latou su'esu'ega ma fa'auigaina o fa'amaumauga e aoina mai i meafaifa'aili a le paneta ma mea faigaluega falesuesue. E mafai fo'i ona fesoasoani nei fa'alautelega i saienitisi ia vave ma lelei le fa'atinoina o galuega tala'i i le lumana'i.

Mo lenei lu'itau, o lo'o fa'atonuina sui auai i le fausiaina o se auala fou e otometi ai ona su'esu'e fa'amaumauga o su'esu'ega kasa (EGA) fa'atusa o fa'ata'ita'iga Mars na aoina i mea fa'apisinisi ma falesu'esu'e e tutusa ma mea na fa'aaogaina mo su'esu'ega Mars. O metotia sili ona lelei e tatau ona mafai ona iloa le i ai o nisi o aiga o vailaʻau vailaʻau (faʻamaonia i le luʻitau) i faʻataʻitaʻiga. O auala manumalo e mafai ona faʻaaogaina e fesoasoani ai i le lumanaʻi paneta misiona e pei o le ExoMars misiona ma le Dragonfly misiona i Titan.

"O lenei mea o loʻo lagolagoina se fesili suʻesuʻe mataʻina lea e mafai ai e meafaigaluega aʻoaʻoga masini ona i ai se aafiaga moni i le auala e mafai ai ona tatou aʻoaʻoina atili e uiga i lo tatou nofoaga i le atulaulau," o le tala lea a Greg Lipstein, Principal, DrivenData. "O se avanoa sili lea e faʻaogaina ai le atamai tuʻufaʻatasia ma le tuʻinanau o faʻalapotopotoga faʻamaumauga e faʻalautele ai le tulaga o le faasaienisi tatala."

"E manaia le mafaufau atonu o loʻo i ai faʻataʻitaʻiga o tulaga nofoia ua mavae i Mars e mafai ona fesoasoani nei suʻesuʻega e faʻamatalaina," o le tala lea a Kal K. Sahota, Pule Sili, HeroX. "O nei luʻitau e matua faʻaosofia aʻo tatou suʻesuʻeina faʻamaoniga o le ola ese."

Le Lu'itau: O metotia e tatau ona iloa le i ai o nisi o aiga o vailaʻau faʻapitoa i faʻamaumauga na aoina mai le faʻatinoina o le EGA-MS i luga o se seti o faʻataʻitaʻiga o mea faʻafanua.

Le Fa'ailoga: O le a fa'asoa se ato tupe e $30K i 'au e fa.

Agava'a e Tauvā ma Manumalo ai (s): O le fa'ailoga e tatala i so'o se tasi e 18 tausaga pe sili atu fo'i e 'auai ta'ito'atasi po'o se 'au. O tagata tauva ta'ito'atasi ma 'au e mafai ona afua mai i so'o se atunu'u, pe afai e le fa'asaina e le feterale a le Iunaite Setete le 'auai (e iai fa'atapula'a e fa'atatau). O mana'oga fa'aopoopo po'o tapula'a e mafai ona maua i tulafono o lu'i.

OA MEA E AVEA MAI LENEI TUSI:

By taking advantage of the many supporting experimental runs done on comparable rock samples, data science methods can be developed in order to support scientists in their analysis and interpretations of data collected by planetary mission instruments and laboratory instruments.
The best methods should be able to detect the presence of certain families of chemical compounds (specified in the challenge) in the samples.
The methods should detect the presence of certain families of chemical compounds in data collected from performing EGA-MS on a set of geological material samples.