3-6 billion mobile phones with up to ten sensors each. Trial with 150 students driving around and providing anonymous information about where they are, how fast they are going, etc. and have it centrally integrated and then made available to everybody who is driving.– traffic prediction. Further out possibilities include tracking of influenza through personal health monitoring. Also real time weathre monitoring.How about 100 million barometric pressure.
80% of the world’s population has coverage in 220 countries. Micropayments happeningin Africa. Vision of mobile phones as primary networking device for 100 millions or billions of people. Many issues including security and privacy..
Reconstructed media session was about the future of TV. The panelists were from YouTube, sevnload, and Current TV. All three see TV as a thing of the past. Current.tv is a bottoms up media approach where "you make the news" by voting on, commenting on, or submitting a story. Part of the business model change is being driven by the fact that TV today is very inefficient as an advertising channel. According to one of the speakers, 99% of advertising dollars are wated because people either don’t watch it or watch it but are not in the market for whatever is being advertised.All three are determined to reconstruct (blow-up) the current model of television.
Social information discovery — you can ask a question and get a lot of people to answer
Sharing is done mostly in email which puts high social activation energy on the sender. Separating. We will share a lot more in the future. Social sites is causing evollution to the entire web becoming social. User generated content used to be something you go to a site to do like epinions.com. Example go to ticketmaster and find out what people are saying. Inhibitors: fragmented identify. How do I get secure access using name and password. OpenID for identiy, Oauth for authentication, and OpenSocial for applications. Google Friend Connect is attempting to bring all three of these together.Leading to the social web.
Three experts talked about networks. There are a very large type of networks, baggage routing networks of an airline, electrical grid networks, our social networks. A social network is a social structure made of nodes (which are generally individuals or organizations) that are tied by one or more specific types of interdependency, such as values, visions, idea, financial exchange, friends, kinship, dislike, conflict, trade, web links, sexual relations, disease transmission (epidemiology), or airline routes. The resulting structures are often very complex.
Social network analysis views social relationships in terms of nodes and ties. Nodes are the individual actors within the networks, and ties are the relationships between the actors. There can be many kinds of ties between the nodes. Research in a number of academic fields has shown that social networks operate on many levels, from families up to the level of nations, and play a critical role in determining the way problems are solved, organizations are run, and the degree to which individuals succeed in achieving their goals.
In its simplest form, a social network is a map of all of the relevant ties between the nodes being studied. The network can also be used to determine the social capital of individual actors. These concepts are often displayed in a social network diagram, where nodes are the points and ties are the lines.
By combining networks, such as a mobile phone network and a mobile payment application, and a network of people all sharing a common cause, a viral effect can take place resulting in a lot of money flowing to the need – banking, government, emergency response, transportation, oil and natural gas, water. Sending an email as a simple case shows the interdependency among many networks.There are many types of networks: physical, biological, and social. Scientists are studying the characteristics of networks to optimize them, make them more secure, achieve viral effects by combining them. Network studies involve topology and activity. The topology of a network includes many measurements about the nodes and how far apart they are. Things that historically applied to electrical grids or computer networks now apply to biological and social networks. Scientists are studying all forms of networks and learning what things about them are common and what is uniquie. A better understanding of networks will help improvie the flow of innovation through a company or of a good idea to propogate across a social network. There is a science of networks emerging from these studies.
People: What we know and what it means to us and to them. This panel was moderated by BJ Fogg, whom I first met when he presented YackPack at Demo a few years ago. Research shows that people are endlessly creative. Most of most pepole’s time is spent offline. There are very large differences between the skills people have in using the Internet. User background is realted to digital media saavy but it is not an age thing. There is a correlation between skill level and willingness to share. Some argued that the skill level is a function of priority given. I am certain of that point. I know many people who could be web saavy if they wanted to be but they would rather play golf or work in the garden. There is a social technographics ladder that includes people who are inactive, spectators, joiners, collectors, critics, and creators. Another study however showed a very strong corelation between age and these various categories. At my age I should be inactive!
Privacy and Security in the Network Age
Moderator Andrea Matwyshyn (Wharton), Bruce Schneier (BT Counterpane), Fran Maier (TrustE), Gerard Lewis (Comcast), Lauren Gelman (Stanford CIS)
Are we entering an era where individuals gain new control over their public personas, and powerful means to leverage reputations? Or will we be forced to abandon any hope of protecting our privacy and trusting what we encounter online? When is more information the solution… and when is it the problem?
Privacy. Everything we do creates a transactoin record and the resulting data records have value. Storage costs online are now so cheap, nothing gets thrown away. Google, your wireless provider, your healthcare insurance company, etc. all save everything. The trend will continue. Surveillance video cameras will be so small in the future that we won’t know they are there. There are many invasive technologies out there. Soon we will be living in a world where no conversation will be private. The debate is framed in security vs privacy — it is a bogus argument. The debate is liberty versus control. Data is the pollution of the information age. The experts are short term pessimistic but long term optimistic.
Broadband Policy. We had a discussion about what we would do if we became policy advisor to the new president. We came up with the following list….
- Get rid of the FCC. It’s a political entity
- Map the gaps. Where infrastructure is and isn’t. And users
- Take spectrum policy and flush it
- Take on universal service. Revamp it and focus on broadband
- Un-ban municipal wirelsess broadband
- Benchmark US against other countries
- Good things that are happening (e.g. VZ fiber deployment)
- Big picture of what the market is, and what kind of market infrastructure