Presen&ngresearchworkshop

Steven Weijs, Civil Engineering, UBC, Vancouver

Outline

•  Introduc&ontoworkshopandme/myresearch•  Objec&vesofpresen&ngresearch•  Howtoachieveyourobjec&ve

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Workshopform

•  (Inter)ac&ve,willcollectinputfromyou•  Wewilltrytocompileausefuldocument(onGoogledocs)withourjointknowledge.

•  Someworkwillbeinsmallgroups,besttohaveatleastonelaptopineachgroup.

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Outline

•  Introduc&ontoworkshopandme/myresearch•  Objec&vesofpresen&ngresearch•  Howtoachieveyourobjec&ve

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Aboutme:Iamalowlandguy

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1 m below sea level

Subsidence+Sealevelrise

6 Mazzotti S et al. Geology 2009;37:771-774

Solu&on1:Fixproblems

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P

Q

e

POLDER LAND BOEZEM CANAL

Controllingwatersystems

SEA

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9 Past 12h Next 24h

P U M P

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Risk-basedWaterSystemOpera&on

1/6 4/6 1/6 P

e1 e2 e3

uopt uopt uopt

LLLLLL JJJJJJ KKKKKK

LJJJJK

RISK= Probability X Consequence

Solu&on2:Gotomountains

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ValFerretexperimentalwatershed, Switzerland

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Makingsenseofthewaterflows

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ValFerret,Switzerland

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Weijs, S.V.; Diebold, M.; Mutzner, R.; Golay, J. & Parlange, M.B. Using hacked point and shoot cameras for time-lapse snow cover monitoring in an Alpine valley Geophysical Research Abstracts, 2012, 14, 8244

Hydrology:azooofscales

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Understandingvs.Predic&on

“Nobody understands quantum mechanics”

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Feynman:

HydrologyandWRM

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Hydrological information flows

AlgorithmicInforma&onTheoryindependentlydevelopedbyKolmogorov(1968),Solomonoff(1964)andChai&n(1966)

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WhichalgorithmzipsPbest?

Hydro(UN)ZIP:RLEondryspells

Takedifferences

Tryparametricdistribu&ons

Fileiscompletedescrip&on

Outline

•  Introduc&ontoworkshopandme/myresearch•  Objec&vesofpresen&ngresearch•  Howtoachieveyourobjec&ve

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Objec&vesforpresen&ng

•  Scien&ficexchange•  Youwanttosellyourconclusion•  Youwanttosellyourmethod•  Youwanttosellyourpaper•  Youwanttosellyourideas•  Youwanttosellyourself•  Youdon'tbuythestatusquoopinion(revolu&on!)

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Haveastory

•  Objec&veisservedbytakehomemessage•  Wholenarra&vedependsonmessage•  Makesureyouhaveatakehomemessage•  Don’tbeafraidtocutmaterial•  Objec&veisrarelytoshowallyouhavedone

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Exercise:ElevatorPitch/Objec&ves

•  Formgroups•  Someofyouget2minutes&metopresent(AGU)researchinelevatorpitch.

•  Ifyouwant,useblankpaperasposter•  Allwillwritedownkeytakehomepointofpitch•  Andwritedownguessofobjec&ves

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SharedDocument

hhp://bit.ly/1OpPWX3

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Thinkofyourmainobjec&ves

•  Ifnotpresent,addthemtothedoc

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Outline

•  Introduc&ontoworkshopandme/myresearch•  Objec&vesofpresen&ngresearch•  Howtoachieveyourobjec&ve

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Howtoconvince…

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Howtoconvinceyouradvisor

•  Convincetopaytripandletyoupresent•  Exci&ngnewresults:Ihaveearnedit!•  Perfectsession,networkingopportunity•  Opportunitytolearnfromotherpresenta&ons•  Meetpoten&alfutureemployers(mightconvinceyoutofinallywrapupThesis)

•  …

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Howtoconvincetheconvener

•  Firstneedtochooseasession…•  Veryimportantforobjec&ves•  Sessiondefinesyourlikelyaudience•  Impresscertainconveners?•  Choosingrightsessiongivesmorechancesoftalk(ifyouaimforthat).

•  Otherreasonsforchoosingsession?…

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Howtoconvincetheconvener

•  Readtheabstractscarefullyformatch•  Imaginesessionconvenersaimforsession•  Isthereamessage?•  Canyoutalkcontributetotheirobjec&ve?•  Maybetuneyourwording•  Dotheconvenersknowyourwork?•  Isyourtopiccontroversial?(debate!)•  Otherideas?…..

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ExamplesH31M:Predic&ons,ModelsandHydrologicalInforma&on:HowMuchCertaintyShouldWeExpectinanUncertainWorld?Channellinginforma&onflowsfromobserva&ontodecision;orhowtoincreasecertaintyTomakeadequatedecisionsinanuncertainworld,informa&onneedstoreachthedecisionproblem,toenableoverseeingthefullconsequencesofeachpossibledecision.

…

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ExamplesEnsemblehydro-meteorologicalforecas5ngExpectedbenefitsofensemblehydrologicalpredic&onscomprisehigherforecas&ngskills,improvedriskassessmentandwell-informeddecision-makinginopera&onalwatermanagement.Ensemblehydro-meteorologicalforecastandwarningsystemshavebeendevelopedtoimprovefloodcontrolanddroughtmanagement,aswellastoop&mizewateralloca&onandregula&onfordifferentuses.Thevalueofsuchsystemshasbeenrecognizedacrossawiderangeofsectorsandusers,includingriverbasinauthori&es,publicagencies,privateen&&esandcommercialindustries..….Extrac5nglocalinforma5onfromcrowdsthroughbe9ngmarketsInthisresearch,aset-upisconsideredinwhichuserscanbetagainstaforecas&ngagencytochallengetheirprobabilis&cforecasts.Fromaninforma&ontheorystandpoint,arewardstructureisconsideredthateitherprovidestheforecas&ngagencywithbeherinforma&on,payingthesuccessfulprovidersofinforma&onfortheirwinningbets,orfundsexcellentforecas&ngagenciesthroughusersthatthinktheyknowbeher.Especiallyforlocalforecasts,theapproachmayhelptodiagnosemodelbiasesandtoiden&fylocalpredic&veinforma&onthatcanbeincorporatedinthemodels.Thechallengesandopportuni&esforimplemen&ngsuchasysteminprac&cearealsodiscussed.

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Exercise:

•  Takealookatyourabstractandthesessionyouarepresen&ngin.

•  Couldyoutuneitmorenext&me?

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Howtoconvinceyourpartner??

•  Conferenceimportantforcareer•  Worlddependsonsciencethatissparkedhere

•  Itisnotjustdrinkingwithcolleagues•  Canprobablybehomein6hoursiflaborstarts

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OK!Youmadeithere!

•  Nowconvinceyouraudience…

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