,i #aah? ,,congress #b;d ,session ,h4 ,r4 #ibai ,,9 ,,! ,,h\se ,,( ,,repres5tatives ,july #cj1 #bjbd,mr4 ,mill] ( ,ohio 7= himself & ,mr4 ,lucas7 introduc$ ! foll[+ bill2 :i* 0 ref]r$ to ! ,committee on ,sci5ce1 ,space1 & ,te*nology ,a ,,bill ,to e/abli% ! ,f$]al ,commission on ,wea!r ,risk ,data & ,model+1 & = o!r purposes4 #a4 ,%ort title ,?is ,act may be cit$ z ! ,wea!r ,data ,taxpay] ,protection ,act4 #b4 ,f$]al ,commission on ,wea!r ,risk ,data & ,model+ 7a7 ,e/abli%m5t ,n lat] ?an #ahj days aft] ! date ( ! enactm5t ( ?is ,act1 ! ,secret>y ( ,comm]ce %all e/abli% 9 ! ,dep>tm5t ( ,comm]ce a commission to be kn[n z ! ,f$]al ,commission on ,wea!r ,risk ,data & ,model+ 79 ?is section ref]r$ to z ! ,commission74 7b7 ,duties ,! duties ( ! ,commission are ! foll[+3 7#a7 ,to e/abli% data1 metadata1 & s]vice /&>ds & specifications requir$ = ! validation ( wea!r risk data & models "u subsection 7c74 7#b7 ,to id5tify ! quality1 reliability1 usability1 timel9ess1 & accuracy ( key data inputs & p>amet]s provid$ by ! private sector & us$ 9 wea!r risk data & models1 includ+ ! foll[+3 7,a7 ,data relat$ to frequ5cy & sev]ity ( natural haz>ds4 7,b7 ,data relat$ to natural haz>ds exposures1 vuln]ability1 adaptation1 & mitigation 9 built environm5ts1 includ+ infra/ructure1 economic activity1 & human population4 7,c7 ,data relat$ to ! relation%ip & sci5tific connections betwe5 subp>agraphs 7,a7 & 7,b71 includ+ types ( natural haz>ds & ! specific damages su* natural haz>ds cause4 7#c7 ,to develop /&>diz$ me?odologies & protocols = ! collection1 validation1 & analysis ( su* key private sector data inputs & p>amet]s utiliz$ or pur*as$ by ,f$]al dep>tm5ts & ag5cies4 7#d7 ,to facilitate ! %>+ & dissem9ation ( wea!r risk data & models among ! foll[+3 7,a7 ,/ate1 local1 & ,tribal gov]nm5ts4 7,b7 ,f$]al dep>tm5ts & ag5cies4 7,c7 ,appropriate repres5tatives ( ! insurance indu/ry4 7,d7 ,appropriate repres5tatives ( ! bank+ indu/ry4 7,e7 ,appropriate repres5tatives ( ! wea!r indu/ry4 7,f7 ,any o!r relevant /akehold]s z det]m9$ by ! ,commission4 7#e7 ,to coord9ate data collection1 analysis1 & model+ activities = wea!r risk data & models ) ! foll[+3 7,a7 ,! ,national ,oceanic & ,atmosph]ic ,adm9i/ration4 7,b7 ,! ,national ,in/itute ( ,/&>ds & ,te*nology4 7,c7 ,! ,national ,a]onautics & ,space ,adm9i/ration4 7,d7 ,! ,dep>tm5t ( ,en]gy4 7,e7 ,! ,environm5tal ,protection ,ag5cy4 7,f7 ,! ,(fice ( ,sci5ce & ,te*nology ,policy4 7,g7 ,any o!r relevant ,f$]al dep>tm5ts & ag5cies z det]m9$ by ! ,commission4 7#f7 ,to make recomm5dations to ,f$]al dep>tm5ts & ag5cies on improv+ ! quality1 accuracy1 consi/5cy1 & transp>5cy ( wea!r risk data models4 7c7 ,wea!r risk data & model validation 7#a7 ,9 g5]al ,! ,commission %all implem5t validation /&>ds & specifications t ensure ! accuracy & reliability ( wea!r risk data & models utiliz$ or pur*as$ f ! private sector by ,f$]al dep>tm5ts & ag5cies4 7#b7 ,crit]ia ,9 c>ry+ out ?is subsection1 ! ,commission %all engage ) ,f$]al dep>tm5ts & ag5cies1 & ext]nal p>tn]s & provid]s1 to develop & te/ validation /&>ds & specifications 9 ord] to evaluate all s\rces & types ( wea!r risk data & models = use by ! ,f$]al ,gov]nm5t4 ,n lat] ?an "o ye> aft] su* developm5t ( su* /&>ds & specifications1 su* /&>ds & specifications %all be us$ to evaluate curr5t f$]ally us$ wea!r risk data & models4 7#c7 ,pilot contracts ,! ,commission %all seek1 ?r\gh an op5 competition1 to ent] into contracts ) private sector entities capable ( provid+ wea!r risk data & models t c be evaluat$ to satisfy ! /&>ds & specifications implem5t$ pursuant to p>agraph 7#a74 ,n lat] ?an six mon?s aft] ent]+ into any su* contract1 ! ,commission1 to ! maximum ext5t practicable1 %all seek to recomm5d submission ( an application "u p>agraph 7#d7 aft] det]m9+ if su* data & models satisfy su* /&>ds & specifications4 7#d7 ,applications ,n lat] ?an "o ye> aft] ! date ( ! enactm5t ( ?is ,act & on a cont9u\s basis !reaft]1 ! ,commission %all consid] applications = review ( wea!r risk data & models = ! purpose ( validat+ su* model = use by ,f$]al dep>tm5ts & ag5cies4 ,9 ord] to h wea!r risk data or models review$ by ! ,commission1 ! own] ( su* data or model %all submit to ! ,commission an application at su* "t1 9 su* mann]1 & conta9+ su* in=mation z ! ,commission may require4 7c7 ,memb]%ip 7#a7 ,numb] & appo9tm5t ,! ,commission %all be co-*air$ by ! ,adm9i/rator ( ! ,national ,oceanic & ,atmosph]ic ,adm9i/ration & ! ,director ( ! ,national ,in/itute ( ,/&>ds & ,te*nology1 & be compos$ ( memb]s :o are qualifi$ to provide advice reg>d+ wea!r risk data & models1 includ+1 to ! maximum ext5t practicable1 f ! foll[+ entities3 7,a7 ,"o repres5tative ( a ,/ate or local gov]nm5t t has exp]i5ce ) respond+ to natural haz>ds4 7,b7 ,"o repres5tative ( a ,/ate regulatory entity t utilizes or pur*ases wea!r risk data or models4 7,c7 ,"o repres5tative ( ! ,f$]al ,em]g5cy ,managem5t ,ag5cy4 7,d7 ,"o repres5tative ( ! ,unit$ ,/ates ,=e/ ,s]vice :o has exp]i5ce ) wildfire model+4 7,e7 ,"o repres5tative ( a ,f$]al dep>tm5t or ag5cy t utilizes or pur*ases wea!r risk data or models4 7,f7 ,"o repres5tative ( an organization repres5t+ rural communities t has exp]i5ce ) community plann+4 7,g7 ,"o repres5tative ( an organization repres5t+ urban communities t has exp]i5ce ) community plann+4 7,h7 ,"o repres5tative ( ! insurance indu/ry :o has exp]i5ce ) wea!r risk data or model+4 7,i7 ,"o repres5tative ( ! bank+ indu/ry :o has exp]i5ce ) wea!r risk data or model+4 7,j7 ,"o repres5tative ( a non-gov]nm5tal organization t has exp]i5ce ) wea!r risk data or model+4 7,k7 ,"o repres5tative ( ! eng9e]+ indu/ry :o has exp]i5ce ) /ructural eng9e]+ relat$ to natural haz>ds4 7,l7 ,"o repres5tative ( an in/itution ( high] education t has exp]i5ce ) conduct+ rese>* on wea!r risk data or models4 7,m7 ,"o repres5tative ( an in/itution ( high] education t has exp]i5ce ) us+ artificial intellig5ce to improve wea!r risk data or model+4 7#b7 ,t]m ,ea* memb] ( ! ,commission %all be appo9t$ = a t]m ( f\r ye>s1 n to exce$ a total ( eight non-consecutive ye>s1 except t ! t]m ( six ( ! memb]s :o are initially appo9t$ to memb]%ip on ! ,commission %all be two ye>s4 ,to ! maximum ext5t practicable1 ! co-*airs ( ! ,commission %all ensure /agg]$ t]ms ( memb]s to avoid complete turnov]s ( ! ,commission memb]%ip4 7#c7 ,vacancies ,a vacancy 9 ! ,commission %all be fill$ 9 ! same mann] 9 :i* ! orig9al appo9tm5t 0 made4 7#d7 ,basic pay 7,a7 ,9 g5]al ,except z provid$ 9 subp>agraph 7,b71 memb]s ( ! ,commission %all be paid at a rate equal to ! daily equival5t ( ! annual rate ( basic pay prescrib$ = level ,,iv ( ! ,executive ,s*$ule "u section #ecae ( title #e1 ,unit$ ,/ates ,code1 = ea* day 7includ+ travel "t7 dur+ :i* su* memb] is engag$ 9 ! actual p]=mance ( duties ve/$ 9 ! ,commission4 7,b7 ,prohibition ( comp5sation ( ,f$]al employees ,memb]s ( ! ,commission :o are full-"t (fic]s or employees ( ! ,unit$ ,/ates may n receive additional pay1 all[ances1 or b5efits by reason ( _! s]vice on ! ,commission4 7d7 ,/aff ( ,commission 7#a7 ,p]sonnel ,^u reque/ ( ! ,commission1 ! ,adm9i/rator ( ! ,national ,oceanic & ,atmosph]ic ,adm9i/ration & ! ,director ( ! ,national ,in/itute ( ,/&>ds & ,te*nology may assign any ( ! p]sonnel ( _! respective ag5cies to ! ,commission to assi/ ! ,commission 9 c>ry+ out ! duties describ$ 9 subsection 7b74 7#b7 ,o!r ,f$]al dep>tm5ts & ag5cies ,^u reque/ ( ! ,commission ! head ( any ,f$]al dep>tm5t or ag5cy may detail1 on a reimbursable basis1 any ( ! p]sonnel ( su* dep>tm5t or ag5cy to ! ,commission to assi/ ! ,commission 9 c>ry+ out ! duties describ$ 9 subsection 7b74 7#c7 ,exp]ts & consultants ,! ,commission may procure tempor>y & int]mitt5t s]vices "u section #caji7;b7 ( title #e1 ,unit$ ,/ates ,code1 at rates = individuals t d n exce$ ! daily equival5t ( ! annual rate ( basic pay prescrib$ = level ,,iv ( ! ,executive ,s*$ule "u section #ecae ( t title4 7e7 ,report ,n lat] ?an "o ye> aft] ! date ( ! e/abli%m5t ( ! ,commission1 ! ,commission %all submit to ! ,presid5t & ,congress a report t includes ! foll[+3 7#a7 ,an analysis ( ! quality1 reliability1 usability1 timel9ess1 & accuracy ( wea!r risk models & data4 7#b7 ,an assessm5t ( ! ext5t to :i* ,f$]al dep>tm5ts & ag5cies utilize or pur*ase wea!r risk data or models produc$ by ! private sector4 7#c7 ,a li/ ( ! key wea!r risk data & model inputs & p>amet]s t are ne$$ to integrate long-t]m climate models & %ort-t]m cata/rophe models into wea!r risk data & models4 7f7 ,prohibition ( non-,approv$ wea!r risk data & models ,n lat] ?an two ye>s aft] ! date ( ! enactm5t ( ?is ,act1 not)/&+ any o!r provision ( law1 ! head ( ea* ,f$]al dep>tm5t or ag5cy %all ensure su* dep>tm5t or ag5cy1 z ! case may be1 does n utilize or pur*ase any wea!r risk data or model t does n meet ! validation /&>ds & specifications implem5t$ by ! ,commission pursuant to subsection 7c77#a74 7g7 ,def9itions ,9 ?is section3 7#a7 ,artificial intellig5ce ,! t]m artificial intellig5ce has ! mean+ giv5 su* t]m 9 section #ejjb7c7 ( ! ,national ,artificial ,intellig5ce ,initiative ,act ( #bjbj 7#ae ,u4,s4,c4 #idja7c72 enact$ z division ,e ( ! ,william ,m4 7,mac7 ,?ornb]ry ,national ,def5se ,au?orization ,act = ,fiscal ,ye> #bjba2 ,public ,law #aaf-bhc74 7#b7 ,in/itution ( high] education ,! t]m in/itution ( high] education has ! mean+ giv5 su* t]m 9 section #aja ( ! ,high] ,education ,act 7#bj ,u4,s4,c4 #ajja74 7#c7 ,natural haz>ds ,! t]m natural haz>ds means extreme wea!r or wat] ev5ts & o!r natural ph5om5a1 includ+ wildfire1 dr\ght1 flood+1 damag+ w9ds1 tornadoes1 & precipitation1 t h a high risk ( loss ( life or prop]ty4