Telecommunications Policy and Research Conference
Panel
- The Role of Research in Policy Making
Johannes
Bauer – Michigan State
Mark
Cooper – Consumers Federation of American
Jim
Snider – New America Foundation
Intellectual
Property at a Crossroads
David
Waterman – The Political Economy of Audio-visual Copyright Enforcement
Dennis
Karjala – Congestion Externalities as a Basis for Extended Intellectual
Property Protection
Broadband
Economics Policy and Diffusion
Kenneth
Flamm – The Determinants of Broadband Competition: Economics, Demographics and
State Policy
Keynote
– Nancy Kranich of the ALA
Economic
and Technical Aspects of Networks
Brett
M Frischmann – An Economic Theory of Infrastructure and Sustainable
Infrastructure Commons
Christian
Sandvig & David Young – Hidden Interfaces to “Ownerless” Networks
Yochia
Benkler – Distributed social provisioning of survivable critical
infrastructures
Changing
economic nature of network resources due to network convergence
Shane
Greenstein, Chris Forman, Avi Goldfarb –
Lauren
Gelman – A DMCA for Privacy
Rajiv
Shah and Jay Kesan – Old Wine in a New Bottle: RFID & Cookies
Project goal: map role of research and ideas in telecom policy
Conceptual framework
Knowledge forms an epistemic base
Practical knowledge is what impact policy,
Ideas are pushed, while some basic research is “pulled” into practical knowledge
Lots of practical knowledge is independent of knowledge base
Ex. Citation analysis of media ownership order, based on # of cites
Order itself influenced by various stakeholders
Stakeholders themselves brought articles and books in their comments
Neat!
Indirect effects…
Ex. Author network in spectrum policy
Cross-reference by field
Conclusion of the study: research probably has an impact, but complex
See his other paper about law & social science
“Science has an impact on public policy when my side wins”
Truth is necessary, but not sufficient for me to win, but irrelevant for the other guy
Examples of social science being used in policy
Lifeline in the 1980s
Cable regulation in the mid 1990s
Tel reg
Media ownership
(half) Spectrum debate – economics has acted
(half) Open access to communications networks – cited Lessig
Have to identify the issue before it will be debated.
Obviously a good point for getting yourself
heard
Have to keep it simple
Think about results
Methodological building may have to take a back seat
“Economics is the evil empire of social science”
This guy is too much!
Need to destroy the death star by attacking assumptions
I.E.
monopolistic & Schumpeterian assumptions behind old FCC ideas
Work it, work it, work it. Need to sell public policy issues, push it to
“I’m an intellectual Sybil”
Would answer all the questions about research and policy depending on your perception
Problem defined differently based on what your institution is
Translation issues from different institutions, or disciplines
“Contract” from law to econ…
Need to be aware of the limitations of the research you are doing
Implicit assumptions built into research may not be evident to audience
Example: counting citations
Ex ante inspiration vs. justification ex. Post
NAF hires lawyers to translate idea
Ideas don’t always make a difference… sometimes power wins over truth
Very motivational…
People want to listen to experts because of framing the debate
Not just to learn the right solution, but the right process
If there’s no public interest, hard to sell it to constituents
Raising an issue à it actually goes below the radar screen
Idea with noise is that you neutralize other research
Example: low power FM debate: NAB-funded bad research gave cover for bad policy
“An idea without a constituency is not going anywhere”
Pragmatic approach: Need to think about getting the right idea to the right person at the right time
Revolutionary: Could be a Claude Shannon and shift the paradigms
Challenging
things directly is hard, not always welcome
Q: Irene Wu: We at the FCC want to hear from you.
Gaps in the political science area of liberalization of telecom
Need info about the effectiveness, and transparency
Q: Approach research issues from the starting point of the very real world, constrained by political considerations, or start from a ceteris Paribas state, looking for the “socially” optimal policy?
A: Political constraints change. Things are seldom constant
A: Difference between these two approaches is how embedded our assumptions are
Tech can change our base assumptions—need to look up occasionally
A: Feasibility constraints make for interesting problems
Ex: why is rate rebalancing so hard in this country.
Institutional
A: Time lag in connection. Research has a luxury of challenging existing orthodoxy
A: Value added for an academic is the long term
BUT – sometimes can really be helpful
C: This was an original purpose of TPRC
C: Need to explain to our students the relationship between research and use
Q: Exhilarating examples?
A: Plenty: …
C: Academics need to make their own concessions. Too policy-oriented can break a tenure case
Policy analysis is thoroughly unrewarded in academia.
C: Not a great idea if it’s not realistic
` Process from policy world to the academic world
A: Policy world is a very different audience then journals
A: Many linkages between policy and academia. Academics have legs in real world
Consultants
Solution is diversity
A: Maybe there really is a DMZ zone. It could be motivated by the need to provide “credit.”
Time cycle for journals are long
DC is good at plagiarism, but academics need credit
- Formerly of AOL and Sun
- Taught econ at Harvard, taught both Scott McNealy and Steve Balmer
o Taught Balmer the theory of monopoly
The future: reality is called “consumer”
When talking about consumers, need to adjust assumptions
People are mainly satisficers, not optimizers
Media is about shared experiences:
Talk about the movie
Watch movies on HBO that you already have – family agreement
HBO advertisers to its own subscribers: who get it for free!
Need to generate buzz to maintain subscription
Entertainment needs of NY probably met by 2 terabytes (not 100s)
Media consumed in isolation isn’t the same
At the same time, loneliness drives tech
Identity through technology: who would predict ring tone markets
Difference between hit and so-so movie is the number of times people see it
People don’t use TV guide, but watch from about 16 channels
Mass media paradigm doesn’t fit the idealized internet
Technology is a little limiting
Data
usage passed TV usage in
Data on college kid usage
Kids don’t believe in paying for media
Libraries of DVDs, see library copying as different
Value per bit is shrinking
Email à song à movie à HD movie
Storage costs
In a few years, every movie ever made will fit on a box for under $10k
More
movies than
Model competing with the net
Cached video storage, tivo increase
Can get every show on 16 channels for a week, each evening
Why go to net?
Problems with competing on the net
Subscription is the domain of HBO, Encore, etc
Licensing for songs
Mass media is very different from IT world
Ultra wide band is disruptive technology
Not a straight connection
Need to integrate PC and TV
IPods are popular because they integrate organization (PC) and consumption (mobile)
` Need to find out more about this tech… not
sure what he means
Interface of TV will be the target of a huge battle
“Why in the world do we expect consumers to run a 30 million line sw stack themselves”
Why don’t we have consumer network boots?
In an always-on connectivity, want always on data
Issue – if all your data is in the cloud,
what are the privacy issues
“The C2H5OH factor”
A VC talk with the formula of problem in the
world à my solution plays
really well for an academic audience…
Current system: automatically get copyright for a period
Variable – Term granted
Creator chooses
Whether to enter the market
How many original pieces to
How to price them
Legislator wants to max social welfare, and needs to decide length of copyright
Alternative: indefinitely renewable (Landes & Posner 2003)
Variable: size of fee
Creator chooses
Same as above AND length of copyright of its products
Legislature has same goal, needs to choose 1st period
Points of comparison
Size of public domain
Tracing/Transaction/Operating costs
Rent seeking behavior
Approach: compare consumer surplus and creator profits
Two markets that have the same conditions
Compute social welfare
Analytic model – legislature chooses variable to max social welfare
Max s.t. process, and trying to get equilibrium
Q: assume zero
marginal cost? Marketing considerations?
Demand
function Limit of number of popular goods
A: dunno…
Results
Can show the optimal period of copyright, and of pricing
With given parameters How did he get them??
Evidence that renewable system
Robustness model - See
robustness model!
Q: With the renewable system, you maintain and revalue things in the system
A: Yes. Our model is basic right now
Q: Creator doesn’t get to choose how much to produce. Layer missing
Public image of content producers as serious enforcers
But great variation, and sometimes counterproductive
Is piracy enforcement socially optimal?
Many ways to pirate
From the theater, or home media
Cable theft, internet download
Harm estimates – tricky, we don’t know their methods
Assume that all theft is a missed sale
Enforcement
MPAA is very aggressive
Cable/DBS is rather lax
Video retailers don’t do much
Why differential enforcement?
Differential economic impact – content owners incur larger costs than media
Ex. PPV have little incentives to protect other people’s content
Asymmetry of enforcement costs
Difference in costs
Cable operator only gets $3, doesn’t feel the whole loss
Unlike physical artifacts
Moral hazard in joint costs – distributors could raise piracy to get money to stop it
Cable piracy
Occasionally run tap audits à send out amnesty & subscription offers
30% conversion à 70% don’t
“Like heroin” – first year is free
PPV piracy
Sometimes give it away to segment the market
Allow people to steal to keep them from getting a dish
Wait for
Economics – socially optimal is industry maximizing level
BUT – what is industry?
How to improve:
Vertical integration of content and distribution
Share DMCA restitutions
Digital –
Better content increases incentives to let people pirate to increase subscriptions
Q: time sensitive revenue stream for content: can downstream distributors get involved in upstream piracy?
A: hard to get evidence of that.
C: Cable distributors offer bband as well – this complicates things
Info goods and IP solutions
Accept public good nature
Make goods rival – DRM
Make them excludable - watermarks
Darknets – distribution network for breaking things
Assumed infinite capacity
Trusted computing tries to raise the cost
Chip forces “trusted booting” à hard to change configuration
Allows remote attestation
TC advocates
Security: harder to modify OS
Could use DRM for personal data
Trusted exchanges
Have to attack the hardware
TC detractors
Control is not for users, but
Chip vendors can lock in OS
OS vendors can lock apps
App vendors can prevent file interoperability
Is it economically possible?
Model
Two platforms: TC and non-TC
Platform providers must decide whether to support TC or not
…
[Model presented]
Issue: low demand content
High demand content can always be broken b/c darknet has high reserve cost
BUT – opening files, emails, etc
Need support of multiple users, but have to get them with interoperability
Chicken and egg à longhorn separation from NGCB
Implications of TC success
Security – every complex system is breakable
No proof that TV will protect privacy – encryption needs to be used bilaterally
Innovation- CS industry of user innovation
TC inverts the model of von Neumann architecture
Q: Why would technologists support this system to protect other’s content
A: Can charge licenses, or lock in as the standard
This paper bitch-slaps
Landes & Posner J
Criticism of Landes & Posner
Predicated on the assumption of loss of value in over exposure
BUT – no overgrazing
Copyright is only an incentive for production
If no incentive needed, don’t need protection
L & P – overexposure shifts the demand curve
If Bogart’s image was readily available, everyone would use it, value would go to zero
Econ analysis
Demand curve shifts: loss in value probably greater than shrinking DWL
Criticisms
Even if we lose things from copyright, they enter society
e.g. Santa clause
Basic economics: shifting demand needs to take into account value generation
Fact that demand goes to zero not sole measure
Demand curve != social value
Analysis falls flat on factual works w/ death by overexposure
e.g. people won’t stop using maps, programs
Lots of works with zero value
Copyright owners overexpose stuff themselves
Very few candidates for congestion
How can a novel be over-exposed?
L&P requires people to be exposed so much that they are sick of it
Only viable example is fictional characters
Mona Lisa, van Gogh, Beethoven
Are these things not popular?
Wouldn’t someone pay for them if they were under copyright
I think
I just lost his argument… what is he arguing for?
Q:(David) If implication of model is that restricting access creates value, so we should do that more, isn’t that nonsense on face?
A: Yes.
Q: Doesn’t the L&P say that consumption reduces value? And that this is bad?
A: Yes, but a little different for digital good.
C: If there is no scarcity, economics has little to say about scarcity
C: Different type of externality: slash fiction for Mickey Mouse would reduce demand for family cartoons
Wow… cartoon sex at
A: BUT – that creates a different standard of value
Local context matters for broadband
Big difference between municipal
Data – survey from 2000 public utilities from APPA
Key findings
“internal” predict offerings to public
Competition & demographics not as strong predictors
State policies have a real effect
About 250 MEUs of 2000 offer communications
Some of it is “internal” – billing and mgmt info, or services for muni gov’t
Why would MEUs start offering external service
Technology & knowledge
Level of policy autonomy
Market: two hypotheses
Competitive: Enter an attractive market, can find new profits
Public good – bad market
Additional factors
Demographics, geography, existing bband market, policy climate
Results
Technology push suggests a process
State prohibition is strong, policy climate not huge
State policies – direction could be going the other way
Reaction to forward thinking MEUs
Q: Subsidies to target this for Universal Service?
A: No, the opposite. Only subsidize private groups
Q: Have any utilities had to unplug their networks b/c of rules?
A: No, but usually states grandfather things in
Q: BBand over power lines? (BPL?)
A: Interferes with ham radios
Q: What were the implications of the Nixon decision
A: Telcom Act did not did not pre-empt state restrictions on muni entry
Need to define what is *shared* (Broken down by layers)
Conduit, dark fiber leasing, fiber & link-layer, basic IP service
Access to which services? Voice, data as ISP, data as transport, video
Partnership model:
Can the network operator compete?
Control over identity and number of SP’s?
[Comparison of
Former is quite closed, latter is rather open
[Several other case studies]
Technology and open access must be aligned.
Impact of Everything-over-IP
If SP is open, are other things open?
Not quite that simple: QoS,
Conclusions
…
Govt has played a big role in open access
Q: Has the third wire made a big difference, given two existing formats?
A: Communities see lower costs from other modes. These should be included in community benefit calculations
Econometric view of competition, at the zip code level
Can use a longitudinal analysis from FCC data
Issues with the FCC data
Range of quality within the bband definition is tricky
Estimates zip codes with no data
FCC may have underestimated number of zip codes with no high speed lines
Think about this for
King’s class…
-Past
president of American Library Association Yay librarians!
History of librarians sticking up for rights
A librarian protecting the “Berrigan brothers” went to jail to protect them
FBI tried to get in
1990s
Publishers accused librarians of being pirates
Religious Right accused them of running a peep show
Ashcroft
accused them of being ‘duped’ by the ACLU – But
so have the courts J
Values that librarians defend are the values of traditional
Policy solution: need to propose, not oppose policy
Step back: what kind of information society do we want
Enclosure metaphor – no single action closed all the agricultural commons
Scholars tried to establish a literature that the commons were not always a tragedy
Olgstrom – fisheries, natural resources, air
When controlled by groups, things work better
“Governing the commons”
Copyright, civil society, activists picked up the idea of commons
Libraries have always been protective of the commons
Features of commons
Open access, free/low cost, sustainability
Scholarly communications as commons
Open access, Public Library of Science, open archiving
Q: Are there other countries doing a better job?
A: US has been a library leader,
but is falling behind. Maybe
Problem is
that the
Q: What about congressional archives. Aren’t they closed?
A: Congressmen don’t understand that it’s about
-Same with presidential libraries: private foundations can take over
-Can be awkward
Q: What about science academic community, where I have tenure issues
A: Lots of these groups sold off their publishing side, to poor results.
Communities are starting to see it as a problem
C: As we change the distribution method, need to have another way of sorting value of information
Journals have survived because people need information value signals
-Full draft available on SSRN
Project – economics of foundation resources on the demand side
Where does value come from
Law & Econ, but many disciplines among them
Open access vs. control debate
If(infrastructure) then commons
Not a rule, but an organizing principles
General infrastructure definition
Infrastructure is/may be consumed nonrivalrously
Demand driven by downstream activity
Output-based typology
Commercial infrastructure – input into the production of a wide variance of private goods
Basic manufacturing processes, cable, roads, internet
Public infrastructure – input produces wide variance of public goods
Basic research, internet
Potential for a market failure
Access determines presence of externality
Social infrastructure – production of non-market goods
Externalities built in
Internet could be all of these – mixed infrastructure
No such thing as neutrality – E2E vs. market bias
Case for Commons
Commercial infrastructure seems ok
Public & Social – demand manifestation
Killer apps have immediate payoff
Many small scale activities could add up to a large social benefit
Commons obviates the need for either market or government to “pick winners”
Q: Is there actually non-rivalrous consumption? A space on the road is taken
A: Yes. Most is mixed, but lots of things are non-rivalrous most of the time
Need to examine the contrapositive.
Q: Is the “market place of ideas” a market or a commons
A: They aren’t antithetical. Commons is an access question, not selection
C: Different states of development
Story of networks told as the product of inventors and big institutions
What happens in between
Wireless networks
Mesh, route-able, single standard
Who is doing things
Academia, businesses, government and “other”
Other is kind of cool – amateur radio enthusiasts
Story of wireless mesh
Limitations of extant wireless meshing algorithms
65 algs are in the lit, implementations of about two
Bottlenecks
1649 wireless products on the market BUT 182 in available catalogs
only 128 obtainable, and only 18 of those on PCM-CIA
40 firms interested, 15 building them, 6 selling them, 2 sell more than 70%
Hard to get interface documents
NOT specs
Still have access issues to the “open” network
Q: What about reverse engineering
A: Raises cost of innovation dramatically
Q: Where would one turn to learn about compatibility issue?
A: CUCWN, but remember that mesh has many different ideas
Things are really new. There is no one true answer
Q: Why did you have a hard time getting interface info
A: Internet has culture of openness, but corporate industry has culture of secrecy
Not sure what was new
about this paper-maybe the legal perspective.
But “P2P is neat and can solve problems” is a little 2001, isnt’ it?
(An application of Sharing Nicely in YLJ)
P2P is pretty incredible as a storage system
Think about it as security for critical storage
Peer-sharing is a new model
Highly survivable systems
Social motivations, rather than prices or firms
“Sharable goods”
Survivablity is a unique security ideas – (Baran “On Distributed Communications 1964)
Distributed, redundant, adaptive
Internet is survivable on the network level, not the local level
Example – ad hoc wireless networks
Feasible
Migration path is a little tricker – may need policy
Taking down napster didn’t destroy files
OceanStore
Diversity enhances
Shareable goods
Lumpy – discrete packaging, but not perfectly aligned with demand for functional flow
Mid-grained – packages can be provisioned
Transactional frameworks
Price-system
Firm hierarchy
Social sharing and exchanging
Motivation Crowding Out theory – lose the social-minded people, but gain the profit-minded people
Commodification kicks out altruists
How does network convergence shape econ nature of the Internet
New Econ iessues will appear in the era of the converged network
Today’s internet
Excludability and rivalry à common resource
Think about congestion and tolls
Common resources are usually inefficiently used
Traffic congestion, spam mails
Technological inability to distinguish to differentiate
Inefficient resource allocation
OR – a feature, not a bug…\
Using the internet today
P2P is for pleasure
BCN - Future of convergence has all data has same line
Advanced traffic engineering tech
Have specified routes, constraint-based routing
Differentiated services
How do you have decentralized router policy?
Q: how to you spread policy across network?
A: market will solve that problem. My bank will find an ISP…
Q: Is congestion or spam that big a problem
A: No, it might be, though
Look at tech usage in businesses
Internet investment in 1990s
US IT spending grew 20% b/w 1990 & 2000
$450 Billion + investment
Where did it go?
Investment persists overtime
Models
Global village theory - distance is smaller
Marginal contribution of density is declining in density
More frequent adoption in low density
Urban leadership theory – urban support network matters
High desity area, costs are lower
Industry composition theory
Who they are matters – path dependency is critical
These hold
Standard diffusion model
BUT – these give you contrasting theories
Method
86,879 business establishments with 100+ employees
(Best data to date)
Measure
Participation – bare minimums
Enhancement – pretty much anything with TCP/IP
Inter, Intra
Results
No real difference by city size for participation – everyone participates
Less variance for urban, though
Enhancement: more in the cities, wide variance in rural
Conclusions
Results consistent with a couple of theories
Industry patterns predominate:
Virtual worlds are a subset of the virtual community
Use virtual worlds to
Make friends, find partners, engage in economic activities
Theory
Property rights – who owns digital items
Rules - Should trade be allowed
Institutions – how to resolve disputes
Method – collaboration with
Online survey of Korean online users of lineage
Interviews with ItemBay, large digital item trading house
Who should own the items?
Game developers
Cybercrime issue – 70% of cybercrime associated with digital items?
Theory of internet policy issues: order of approach
-Property rights ownership of digital code
-Digital code allocation trade
-Cybercrime / dispute resolution
-Institutionalization
Ringtone market in
Two mobile operators have common content-provisioning and content aggregator
Private decision to harmonize prices
Changing regulations in the EU about electronic goods
Payment system – EU e-money directive about ID and verification system
While different parts have common goal of efficiency, each layer has separate goals
Distribuition – network integrity
Content –incentives for creators
Payment – financial stability, anti-counterfeit
-paper posted on her website, not the conference
RFID aren’t actually a privacy threat
What does a network look like that may cause privacy to be threatened?
Conditions where information is floating around – other people may want to access it
Ways to look at privacy issues
How is the data protected in the devices
How well is it protected by law
Types of attacks
Obtaining device, false query, interception of legit query
Problem – each
attack falls under different computer crime law
Doesn’t make any sense
[Paper has a full analysis of computer security laws]
Example – CFAA specifies “computer” but is RFID a computer?
Example – Can RFID fall under “interstate communication”
Attacks – why wouldn’t RFID
intercept be a pre-defined internet
Law isn’t written to deal with passive intercept
Counterfeit laws for spoofing
RFID
attacks need to either link to UID db, or use tracking. Legal impact?
Different laws cover different aspects of the network that need protection
DMCA – handles protected content in open networks
Same approach needed for personal data
Proposal – Digital Privacy Protection Act
Unlawful to circumvent a privacy-protecting technology
Can’t traffic
Felony to do it commercially or for financial gain
Protects Personally Identifiable Information – PII
Paraphrase of Bruce Lehman about people not putting info on their network
DMCA not such a good law, but the motivation applies to PII
BUT – like DMCA, no way for the _owner_ of PII to access the data
Why there won’t be a DPPA
Privacy proponents won’t support a legal backing to a bad security system
Huh? Oh.
Because the DMCA has bad flaws because it tried to protect
Intention based approach
Q: What about EU paradigm
A: It’s pretty different, but it’s also civil.
Q: My parking garage is giving me an RFID. What is the PII? Where is the boundary
A: Not sure that I would un
Q: RFID is a key to PII database. How does that fit in?
A: …
Q: What about electronic passport with biometrics? Protect the manufacturers from privacy liabilities.
-Work with EPIC
A: Worked with EPIC
from the DMCA. Problem with DMCA
C: Metaphor with DMCA is a little sticky, lots of baggage
[Intro to RFID]
Pictures aren’t actually of RFID chips, they are the one-bit theft protection thingies
Similarities with RFID and Cookies
Both entities allow maintenance of infor
Ubiquity
Use and potential revision can be surreptitious
Development process dependent on institutions
Norms and processes of institutions reflect on technology
Coookies: NCSA vs, Netscape vs. IETF
Privacy built into cookie technology from security perspective
Early implementation contained serious security flaw, could have been caught
RFID: research driven by firms for efficiency and effectiveness
Designers can build privacy potential into the process
Use of technology – regulating and reconfiguring
Users need to be informed, choice
Cookies: no one knew about cookies
No one has a *choice* about cookies, but they can determine use & configuration
Need to think that way about RFID
Shaping of process through market
Market doesn’t sort things out – had to rely on public interest groups
Analytic framework – technology-centered approach
Development, use and role for society
Lots of lessons we can take from cookies
Q: What is the flaw with 3rd party cookies?
A: Have URL be critical to look up cookie
Q: What is the modification option for RFID, given a UID model
A: Can RFID be set as a different number…
Scenario: underwear has identifiable info. Re-assign UID to a store-specific code
C: BUT – harder to implement, more expensive. This is a tradeoff.
Security issues for store, time delay issue
A: Every inventory control device has similar issues
C: Everyone has a computer & browser who is affected by cookies, but not sure who can modify their own
How is collected information shared?
Users subscribe to several services, with various IDs
Sometimes expect them to flow together, so the information will have to flow as well
Conflicting user needs: privacy with customization
Economist “A Residual value that is hard to define or protect in the abstract”
Trade-off between auithentication and privacy
Policy questions
How much info should Certificate Service Providers ask?
Minimum provisioning rules about interconnection among IMS’s
Market based mechs
IMS – multiple identities are a major inconvenience to individuals
NO!
Multiple IDENTIFIERS and AUTHENTICATORS are hard. IDENTITIES are desirable.
[Econ model presented]
User will maximize utility from partial identity – amount of personal data
He doesn’t cite any of the literature
that did some of this stuff
Policy implications
Encourage interconnection level
Socially optimal outcome may differ from Nash à regulate
Increase consumer privacy awareness
Interconnection policy to track bits of identifiers
These notes were transcribed by Allan Friedman at the conference. They represent only a fraction of the papers presented, since the conference consisted of several parallel sessions. It is possible that I may have misunderstood some of these presentations, or missed an important point. It goes without saying that curious readers should read the actual papers, which can be found on the TPRC website.