The Case for Technology for Emerging Regions Prof. Eric A. Brewer UC Berkeley UW ICT Class, December 9, 2004.

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Presentation transcript:

The Case for Technology for Emerging Regions Prof. Eric A. Brewer UC Berkeley UW ICT Class, December 9, 2004

Today’s Focus  Technology can impact everyone  “Bottom of the Pyramid”  Not just Internet access:  Health, education, government, commerce  Enable profitable businesses  Must be sustainable  Poor are a viable market  Focus on income creation, supply chain efficiency  Not charity, not financial aid  Promotes stability, entrepreneurism and social mobility  First World technology is a bad fit  New research agenda

4 Billion People Earning less than $2,000/year < $2,0004,000 ‘The Bottom of the Pyramid’ Middle Class in developing countries $2,000—$20,000 2,000 Wealthy Nations Annual Purchasing Power Parity (PPP) in $US > $20,000 Population In Millions 100 Source: Prahalad & Hammond, Harvard Business Review, Vol. 80, Issue 9 (Sep. 2002), pp48-58

4 Billion People Earning less than $2,000/year < $2,0004,000 ‘The Bottom of the Pyramid’ Middle Class in developing countries $2,000—$20,000 2,000 Wealthy Nations Annual Purchasing Power Parity (PPP) in $US > $20,000 Population In Millions 100 Source: Prahalad & Hammond, Harvard Business Review, Vol. 80, Issue 9 (Sep. 2002), pp48-58 emerging ‘mass’ markets adjacent markets

The Bottom: A Brief Description  3-4 billion people with per-capita equivalent purchasing power (PPP) less that US$2,000 per year  Could swell to 6-8 billion over the next 25 years  Most live in rural villages or urban slums and shanty towns—movement towards urbanization  Education levels are low or no-existent (especially for women)  Markets are hard to reach, disorganized, and very local in nature

The cost of being Poor Bombay area: Bombay area: Dharavi (shantytown) Warden Road Ratio Credit (APR) %12-18%60-75x Water (100 gal) $0.43$ x Phone (cents/min) x Diarrhea Meds $20$210x Rice ($/kg) $0.28$ x

Even the Very Poor Spend  Dharavi, one of the poorest villages in India:  85% have a TV  50% have a pressure cooker  21% have a telephone  … but can ’ t afford a house  Even the poorest of the poor in Bangladesh:  devote 7 percent of income to communications services (GrameenPhone)  These are valid markets …

Many experiments in progress…  GrameenPhone, Bangladesh  Akshaya, e-gov in Kerala, India  ITC Kiosks for farmers (5000 kiosks)  Telecenters, ICT training in Brazil  We hope to:  enable more of these  Reduce the costs, increase the quality

Grameen Bank—Bangladesh  Owned entirely by the poor  Began in one village in 1976  97% of equity owned by the (women) borrowers, remainder by the government  2.6 million borrowers (95% women), over 1,000 branches in over 42,000 villages. 12,000 staff.  Has loaned more than US$3.9B since inception  Over US$3.5B repaid with interest (98.75% recovery rate); $290M loaned in the last 12 months.  Has never accepted any charity—has always been run as a profitable social enterprise  46.5% of Grameen borrowers have crossed the poverty line

Grameen Telecom A Disruptive Societal-Scale Business Model  ‘Village Phone’ is a unique idea that provides modern telecommunication services to the poor people of Bangladesh.  So far over 56,000 loans of average US$200 have been given to buy mobile phones.  Average Phone Lady income goes up by 3- 10x!  The goal is to provide telecommunication services to the 100 million rural inhabitants in the 68,000 villages in Bangladesh—the largest wireless pay phone project in the World.

Environmental Monitoring  Water testing:  Easy: presence of Arsenic  Huge problem in Bangladesh  Hard: obscure bacterial  Test for fecal matter instead?  Dam safety  Many earthen dams: predict collapse?  Real dams: detect failure for faster evacuation  Chinese dam failure killed 80,000 – 230,000 (1975)  World Bank: 0 of 25 of India’s dams are adequate  Evacuation plan can help by 100x

Health: River Blindness  IT used to help eradicate black fly that carries river blindness in West Africa  Network of real-time hydrological sensors, satellites, and forecasting software determined best time to spray larvicide  Protects 30 million people from infection  Freed up 100,000 square miles of land – capable of feeding 17 million people

Other Health Examples  Dengue Fever (virus)  Affects 110M people, mostly in latin america  … some cases in US, many in southeast Asia  Dr. Boser has a detector, based on drop of blood  Need to build a map of spread  GPS, timestamps, GIS Plot  Air and water quality

Government  Transparency:  Cost of obtaining a land title in Madhya Pradesh drops from $100 to 10 cents (reduced corruption)  GIS for location of roads, schools, power plants to reduce politicization (Bangladesh)  Internet-based disclosure  Increased pressure for compliance with environmental regulations

TIER: Technology and Infrastructure for Developing Regions  Great Partners  NSF 5-year grant  Intel, Microsoft, HP Labs India  Grameen Bank, UNDP, Markle  Working with social scientists at Berkeley  Co-design, co-deploy with NGOs in India  Small deployments every 6 months  Must establish trust, relationships!  Looking for second region over time

Early Research Agenda  Rural network coverage  Long-distance low-cost links  Intermittent connectivity  Literacy and UI issues  Interactive education  Non-English speech recognition  Shared devices and infrastructure  Power issues  Low-power networking/computing  Low-cost *quality* power

Long-distance wireless  Goal: low cost 50km links ($300?)  Exploit $ chipsets (or )  … but need new network stack (MAC+)  Low power as well (e.g. solar)  Longer term:  low-cost antenna arrays  Voice over IP over these links

First links, Summer 2004  Goal 1: Internet connectivity for one of the villages  Goal 2: link between MSSRF and Aravind Eye Hospital  Result: Aravind  Nallavadu  Villianur Villianur 9 km Nallavadu Aravind 3 km Bay of Bengal

The Installations Aravind Eye Hospital, 70ft Station, 18 dB antenna Villianur, 80ft tower Station 24 dB antenna Nallavadu, 60ft Master, 24 dB antenna

Some Issues  Line of sight  towers expensive, need alternative  Topology knowledge important  Type of vegetation, ft in Pondicherry  Antenna alignment is hard  Need spectrum analyzer  GPS would help + binoculars, compass, map  Antennas  18 dB gain did not work well for 7 kms  Power problems  frequent power failure, solar power voltage variations

Intermittent Networking  Developing-region networks rarely connect end-to-end  Power, weather, reliability issues  Sometimes intentionally intermittent:  Low-earth orbit satellites: connect only while they are overhead  “Mules” – moving basestation collects data Basestation could be on a bus/motorcyle (DakNet)  Extended coverage:  User may periodically enter the coverage area (e.g. market/school)  Internet doesn’t really handle this well…  “Delay-tolerant Networking” Research Group (dtnrg.org)  Papers in last two SIGCOMMs  But clearly fine for and voice mail..

Tier and DTN  DTN Pros:  Cost: better use of resources, more tolerant of problems  Reliability: delay hides transient problems  Ease of deployment: can be more ad hoc, less coordination than a synchronous system  Coverage: Intermittent coverage >> full time coverage  Con: Not really interactive, or only interactive in some areas  DTN: routing and storage for messages  TierStore: Storage infrastructure on top of DTN  Supports , v-mail, web proxy, data collection apps, broadcast  Claim: Very low cost per user

Technical Results  Proxy cache deployment  collecting usage logs  Speech Collection  ~20 samples  usability issues  lost in translation  need instructions in tamil

Literacy  Idea: make better use of speech recognition  Novel speech recognition:  Easy to train, speaker independent  Any language or dialect, but small vocabulary (order 100 words)  Also speech output (canned)  A non-IT person can train the speech for her dialect  Early results: digit recognition in Tamil  40 samples in Tamil, most collected in India  Have 2mm.13 micron chip design, 18mA active  10000x less than Pentium, 100x less than StrongARM

Other challenges  Low-cost complex sensors  Water and soil quality  Disease detection  Electricity theft  Packaging (think toys)  Low-cost towers  Power systems, replace lead-acid batteries?  UI toolkit  Open source software

General Architecture Internet Data Center

General Architecture Proxies, Basestations Internet Data Center

General Architecture Proxies, Basestations Devices or sensors Internet Data Center

General Architecture Proxies, Basestations Devices or sensors cell “disconnected” Internet Data Center

Data Centers  Best place to store persistent data  (device is second best)  Can justify backup power, networking, physical security  Cheapest source of storage/computer per user  x less than a personal device (!)  Factors: shared resources, admin cost, raw costs (power, disks, CPUs)  Berkeley will be the data center for our early work…  Proxies: shared local computation and caching  Linux PC or Xscale box

Devices  Co-Design Devices/Infrastructure  => 20-40x lower cost  Enables more functionality  Storage, processing, human analysis  Longer battery life  Novel low-cost OLED-based flexible displays  10-50x cheaper, more robust  Printed using an inkjet process  Develop standard integrated chips => $1-7 per device  Looking at 1mW per device (including radio!)  Using FPGA prototyping engine  Packaging?

Akshaya Project  Kerala E-gov project  Provide e-gov kiosk for every 1000 households  Deployed in one district so far (Mallapuram)  Largest wireless network in the world? (400 sites)  Partially subsidized:  Subsidized training in “e-literacy” One person per household  Entreprenuers must make it go after that  Looks sustainable, but too early to tell  Working with the technical contractor to study and improve the technology

Vettekkod Kizzisary Chekkod Pallurkotta Tavanoor Kallarakkunnu Vangalam Arikkod Nilambur Kalpakanchery Kakkancherry Pullamkode Melmuri Malappuram Vivekananda MEA PTM POP 16.8 km Bharti 3.04 km 7.75km 4.5 km 3.48 km 17.5 km 8.5 km 22.3 km km 22.5 km 3.5 Km km 11.5km 3.5km

Vettekkod Kizzisary Chekkod Pallurkotta Tavanoor Kallarakkunnu Vangalam Arikkod Nilambur Kalpakanchery Kakkancherry Pullamkode Melmuri Malappuram Vivekananda MEA PTM POP 16.8 km Bharti 3.04 km 7.75km 4.5 km 3.48 km 17.5 km 8.5 km 22.3 km km 22.5 km 3.5 Km km 11.5km 3.5km Sub POP

Vettekkod Kizzisary Chekkod Pallurkotta Tavanoor Kallarakkunnu Vangalam Arikkod Nilambur Kalpakanchery Kakkancherry Pullamkode Melmuri Malappuram Vivekananda MEA PTM POP xx No of Akshaya centres km Bharti 3.04 km 7.75km 4.5 km 3.48 km 17.5 km 8.5 km 22.3 km km 22.5 km 3.5 Km km 11.5km 3.5km Sub POP

Current India Plans  Winter 2005:  Deploy new network stack, DTN support  MS Swaminathan: Pondicherry villages  Test data collection application/infrastructure  Work with Akshaya for new deployment (Kerala)  Aravind Eye Hospital:  Rural health centers  Computer evaluation of retina images  Sum 2005:  Deploy links to 10+ villages  Bangladesh, Uganda, Ghana, Brazil?

Summary  Tier.cs.berkeley.edu  Technology for emerging regions  Valid research topic, can have huge impact  Needs “systems” help  Needs novel technology (not just hand-me-down)  Deployments must be sustainable  Can’t depend on ongoing financial aid  Franchise model seems key to scalability  Multi-disciplinary research…

Backup

Services for BoP  Top three:  Education (20% of Digital Dividend projects)  Credit (micro-loans)  Wireless phones

Being poor is expensive…  Drinking Water  4-100x the cost compared to middle class  Lima, Peru: 20x base cost, plus transportation  Food: 20-30% more (even in poor areas of US)  Credit:  10-15% interest/day is common (>1000% APR)  GrameenBank is 50% APR  Cell phone:  $1.50/minute prepaid (about 10x) in Brazil

More on Dharavi  Represents urban poor  1300 cities with >1M people  Urban ICT could reach 2B people by 2015  Dense: 44,000 people per square mile  Berkeley: 9700 Pittsburgh: 6000  6 churches, 27 temples, 11 mosques  About $450M in manufacturing revenue  Lots of small inefficient businesses already…

TARAhaat Portal  Portal for rural India  Franchised village Internet centers  Revenue from commissions and member fees  Biggest success: for-profit educational services  ICT: telephone, VSAT, diesel generators  Local content developed by franchisee  Mostly 2 languages, moving toward 18  Social goals met, financial unclear…

GrameenPhone (2)  Rural phones: $93 per phone per month  > Twice as much as urban phones (not shared)  Some phones > $1000/month  But only 2% of total phones (but 8% of revenue)  Monopoly phone company is a real problem  Anti-competitive, outdated laws  Limiting factor for the number of villages reached  4200 out of 65,000 so far  Room for better technology (for the rural users)

Commerce: Market Efficiencies “Price dispersion is a manifestation—and, indeed, it is the measure—of ignorance in the market” (Stigler, 1961)  Badiane and Shively (1998) on Ghana: “…the estimated time to fully transmit a price shock to each of two outlying markets is about four months.”  China: accurate price information (via phone) can increase farmer revenue by 60% and improve regional productivity.