1. Prabhdeep Singh Arizona State University Informatics CPI 101 Coordination and Networking

2. Overview State of the art. How it works. Future.

3. Scheduling Outlook Calendar Google Calendar SMS, API Issues : Personal scheduling. Scheduling between partners – automatic, manual

4. Coordination Wikis - Collaborative spaces – pbwiki, jotspot, tiddlywiki Project management – online, offline  Aceproject  MS Project  Sharepoint SaaS and Web hosted models Geographic constraints Time constraints People are inherently lazy

5. Networking Social Networks  Myspace – why did it work  Facebook – alerts, API Microblogging LinkedIn – your network is your resume.

6. Wisdom of the crowds Motley caps - finance Digg - News Dealio, Wize - shopping Mashups Videos Q&A Concentrated Distributed

7. Dating eHarmony – attribute based matching. (eHarmony couples 35% more likely than other married couples to report that they enjoy spending time together.) Woome

8. Human Centric Efforts  Amazon Mturk  CHA CHA.com  Dmoz The Two Extremes - Machine vs Humans Scalability ?????

9. So how does it look from inside

10. Deployment Model

11. Gazing through the crystal ball

12. BioLog System Architecture Figure 5. BioLog: PubMed Recording, Reasoning and Recommending (R3) Navigation Assistant Pilot Study

13. “Interactive” Shopping Suggests Items Upload Text/VIDEO reviews Answers questions Chats with shopper Convinces shopper Receives reward on sale Searched or Abandoned Items Views Suggestions Adds to Wishlist Sets Price Alert Asks Questions Adds to Wishlist Sets Price Alert Asks Questions Chats with expert Suggestors Rates reviews and suggestions Buys the product Invite friends Becomes Loyal Suggestor/Shopper Experts & InfluencersShoppers Invite friends Experts: not big name famous -- small folks w/some cred: Friends Stay home moms Professionals Online Shoppers on the Web, Facebook, MySpace Offline Shoppers with cell phone

14. Informaticians’ Job Who are the experts. How can we capture, encode, archive, index and retrieve human knowledge. How can the knowledge be efficiently exchanged for collaboration. Can the machines be entrusted to make connections and decisions for us.