An e xpe r i m e nt • Ne w c our s e I T & Publ i c Pol i cy • Ne w i ns t r uc t or col l a bor a t i on • Ne w s i t e s ( UCB a nd UCSD) j oi ni ng t wo pr e vi ous s i t e s ( UW a nd M i c r os of t ) Ed La zows ka , Uni ve r s i t y of • Doubl e t he num be r of s i t e s W a s hi ngt on • Evol vi ng t e c hnol ogy St e ve M a ur e r , UC Be r ke l ey 1 2 Cour s e we b Thr e a de d e m a i l a r c hi ve • ht t p: / / www. c s . wa s hi ngt on. e du/ e duc a t i on/ • J oi n t hr ough t he c our s e we b c our s e s / c s e p590t u/ 04a u/ • Do i t t oday! – Announce m e nt s • Cur r e nt l y ~34 UW , ~14 UCB, ~19 UCSD, – Re a di ngs / s c he dul e ~9 ? – Le c t ur e a r c hi ve •Ba c kup f or t e c hnol ogy gl i t c he s – Pr oj e c t i nf or m a t i on •M or e on t hi s s hor t l y 3 4 Cour s e e xpe c t a t i ons Toni ght • Do t he r e a di ng pr i or t o c l a s s • Ca t c h t he de ba t e a t 11 • Pa r t i c i pa t e i n c l a s s t o t he e xt e nt pos s i bl e gi ve n t he t e c hnol ogy • Pr oduc e a s m a l l - gr oup t e r m pa pe r – A “ bal a nce d pol i cy br i e f ” on s om e t opi c wi t hi n t he I T & Publ i c Pol i cy s phe r e – W e wi l l wa i t a coupl e of we e ks f or cour s e e nr ol l m e nt t o s t a bi l i ze – W e wi l l us e a W i kit o e xcha nge i de as , f or m 5 6 gr oups a nd wr i t epa pe r s 1
I T a nd Publ i c Pol i c y – Se pt . 30, 2004 Two Fr ont i e r s Ha r dwa r e An I nt r oduc t i on t o I P La w a nd Ec onom i c s Sof t wa r e St e phe n M . M a ur e r 7 8 Gol dm a n Sc hool of Publ i c Pol i c y Two Fr ont i e r s Two Fr ont i e r s Ha r dwa r e W or k Bot h Si de s of t he Pr obl e m Ope n Sour c e Da t a W a r e hous i ng Com put e r Se c ur i t y I nc e nt i ve s a r e Powe r f ul ! Hor t a t or y Sol ut i ons & Laws Sof t wa r e 9 10 Two The m e s Two Se t s of Tool s Le ga l Tr a di t i on Loc a l ( Nut s - a nd- Bol t s ) Opt i m i z at i on The Se c ond Copy i s Che a p! I s - I s m J a r gon: “ Non- Ri va l ” Ec onom i c s Tr a di t i on Gl oba l ( Bi g Pi c t ur e) Opt i m i z a t i on Pr e c i s i on ICa r e W ha t You Buy. 11 12 2
A Ri ght To Exc l ude M P = 0 Le ga l Som e Hi s t or y I nt e l l e c t ua l Pr ope r t y ( “ I P” ) La t e M e di e val Or i gi ns St a t ut e of M onopol i e s ( 1524) Ot he r R& D I ns t i t ut i ons Pa t e nt & Tr a de m a r k Of f i c e Appl i c a t i ons . . . Fas hi ons i n I P La w Da t a ba s e Pol i cy M a ny Type s ( Pr i va t e - Publ i c Pa r t ne r s hi ps ) Pa t e nt s , Copyr i ght , SCPA, e t c . ( Ac a de m i c Ent r e pr e ne ur s ) M a ny Pr opos a l s Da t a bas e s 13 14 No. Subj e c t M a t t e r De f e nda nt Subj e c t M a t t e r ? W i ns Le ga l Le ga l Pa t e nt s : Ye s . No. * Pr oduc t s , Com pounds , Subj e c t M a t t e r ? No. De f e nda nt M ac hi ne s , Pr oce s s e s . . . Li a bi l i t y W i ns ( I nf r i nge m e nt ) ** Li f e , Bus i ne s s M e t hods , Sof t wa r e ? Ye s . * Nove l t y Ye s . Copyr i ght : No. De f e nda nt De f e ns e s & * Expr e s s i on, Not I de as W i ns Exe m pt i ons * W r i t i ngs , Pl ays , M ovi e s , Di gi t al Audi o . . . Ye s . ** Sof t wa r e ? De f e nda nt No. Ye s ! Pl a i nt i f f * Cr e a t i vi t y Re l i ef W i ns W i ns Ot he r St a t ut e s -The Publ i c Dom ai n 15 16 Li a bi l i t y De f e ns e s & Exe m pt i ons Le ga l Le ga l Ba s i c Conc e pt s No. Pa t e nt s Li a bi l i t y No. De f e ns e s & Br e a dt h ( I nf r i nge m e nt ) Re duc t i on t o Pr a c t i ce , Exe m pt i ons Dur a t i on M i s us e , Fi r s t Sal e Rul e , Ye s . Ye s . Pa t e nt s Re s e a r c h, Dut y of Candor , Es t oppe l& La c he s . Doc t r i ne of Equi val e nt s 20 Ye a r s Copyr i ght Copyr i ght I nde pe nde nt I nve nt i on, Fi r s t Sal e , Fa i r Us e , M i s us e ( ? ) , Es t oppe l& Lache s Non- Li t e r al Si m i l a r i t y Li f e + 70 Ye a r s 17 18 3
Tr a de Se c r e t s Re l i e f Le ga l Le ga l A Di f f e r e nt Phi l os ophy . . . No. Subj e c t M at t er Re l i ef Pa t e nt s & Copyr i ght Com m e r c i al l y Val ua bl e Se c r e t s Ye s . Dam age s Li a bi l i t y Pr e l i m i na r y I nj unc t i ons Pe r m a ne nt I nj unc t i ons Se c r e cy, I m pr ope r M e a ns , Dur a t i on Exe m pl a r y & St a t ut or y Dam age s Re l i e f Dam age s , “ He a ds t a r t ” I nj unc t i ons 19 20 Ec onom i c s Ec onom i c s W ha t Ar e W e Tr yi ng t o Ac c om pl i s h? A Choi c e of M e t hods 1. “ Nobody Ca n Be M a de Be t t e r Of f Dom i na nt Sol ut i on! ! ! W i t hout M a ki ng Som e one El s e W or s e W ha t Ar e W e Tr yi ng t o Ac c om pl i s h? Of f . ” 2. M a xi m i z e Ne t Soc i a l Va l ue W ha t Ar e t he Be ne f i t s / Dr a wba c ks ? ( v- c ) > 0 3. Ol d Ec onom y Pr e s c r i pt i on: P = M C 21 22 Ec onom i c s Ec onom i c s W ha t Ar e W e Tr yi ng t o Ac com pl i s h? 1.Ex Pos t Ef f i ci e ncy –“ De a dwe i ght Los s ” 2.Ex Ant e Ef f i ci e ncy –“I nnova t i on” 3.El i c i t i ng Pr i va t el y He l d I nf or m a t i on 4.Age ncy Pr obl em s – Spons or s 5.Age ncy Pr obl em s – Re s e ar che r s 23 24 4
“M onopol y” “M ar ke t s ar e Ef f i c i e nt ” Ec onom i c s Ec onom i c s Pr i c e π De m a nd Qua nt i t y 25 26 “M onopol y” Ec onom i c s “I nt e l l e c t ual Pr ope r t y” Ec onom i c s Publ i c Goods : Non- Ri va l ( M C = 0) Exc l uda bl e π S W hy P = M C W on’ t W or k W ha t I P Doe s 27 28 Li m i t s of I P “I nt e l l e c t ual Pr ope r t y” Ec onom i c s Ec onom i c s Copyr i ght Hi s t or y I s I P a M onopol y? I s I P Ne c e s s a r y? P > M C Da t a ba s e s Doi ng W i t hout Sour c e Code Ex Ant evs . Ex Pos t M us i c Too M uc h I P? M i t i ga t i ng De a dwe i ght Los s Di gi t a l Ri ght s M a na ge m e nt Da t a ba s e s , DM CA, Sof t war e Pa t e nt s . . . 29 30 5
Ec onom i c s Ec onom i c s π Π · I nc e nt i ve = V 31 32 Ec onom i c s Ec onom i c s W ha t I nc e nt i ve i s Opt i m a l ? Cum ul a t i ve I nnova t i on I nnova t i on v s .DW L Do W e Ne e d A St r ong Com m ons ? The Li c e ns i ng Ar gum e nt I nt e r ge ner a t i ona l I s s ue s Sof t war e Pa t e nt s Ra c e s Dupl i c a t i on W a s t e Hi gh Ri s k Re s e a r c h 33 34 Ec onom i c s Ec onom i c s I nf or m a t i on About ( v- c ) i s Di s pe r s e d. Two Type s of I nf or m a t i on Te c hni c a l Fe a s i bi l i t y –J a va Va l ue t o Cons um e r s –The I nt e r ne t Li m i t s on I nf or m a t i on Sha r i ng 35 36 6
Ec onom i c s Ec onom i c s W ha t I f Re s e a r c he r s . . . * Li e About ( V –C) ? * Go t o t he Be a c h? 37 38 Ec onom i c s Ec onom i c s W ha t I f The Spons orDoe s n’ t Pa y? * Pa t e nt Li t i gat i on? 39 40 Evi de nc e Hi s t or y Exa m pl e s Ar e Pa t e nt s I m por t a nt ? Pr i z e s Pa t hol ogi e s Cont r a c t Re s e ar c h Pa t e nt Thi c ke t s Gr a nt s Buy- Out s The Ant i c om m ons Tr ol l s Hybr i ds CRADAs Bayh- Dol e 41 42 7
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