Tackling humanitarian challenges with citizen cyberscience Francois - - PowerPoint PPT Presentation

tackling humanitarian challenges with citizen cyberscience
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Tackling humanitarian challenges with citizen cyberscience Francois - - PowerPoint PPT Presentation

Tackling humanitarian challenges with citizen cyberscience Francois Grey CERN SETI@home: >500,000 CPUs Poor mans Grid BOINC (Berkeley Open Infrastructure for Network Computing) platform launched in 2003. General purpose open


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Tackling humanitarian challenges with citizen cyberscience

Francois Grey CERN

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SETI@home: >500,000 CPUs “Poor man’s Grid”

BOINC (Berkeley Open Infrastructure for Network Computing) platform launched in 2003. General‐purpose open‐source platform for client‐server model of distributed computing. >50 volunteer computing projects today in a wide range of sciences. Not all use BOINC.

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Folding@home: >1 petaflop

Sony pre‐installs folding@home on Playstation‐III – user can choose to run in background. 50k PS3s make first distributed petaflop machine (Guiness World Record Sept 2007).

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LHC@home: >3000 CPU‐years

Fortran program Sixtrack simulates LHC proton beam stability for 105‐106 orbits. Include real magnet parameters, beam‐beam effects. Predict stable operation conditions.

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BOINC: keep the volunteers happy

Cool screensaver Message boards =social networking Credit for processing = massively multiplayer online game

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citizen cyberscience: from volunteer computing to volunteer thinking

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Wim Klein: the first computer at CERN

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scientists!

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GalaxyZoo: classify galaxies

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Herbaria@home: digitize 19th century plant archives

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citizen cyberscience for humanitarian challenges in Africa

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Africa@home: empower African scientists

Partnership: CERN, Swiss Tropical Institute, Uni. Geneva, World Health Org, 2 NGOs Africa@home workshops: >50 African scientists from 20 countries (South Africa, Mali) Africa@home projects: MalariaControl.net, HIVMM, AfricaMap, Autodock (w. HealthGrid) Africa@home servers: Uni. Cape Town, Uni. Geneva

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MalariaControl.net: modeling the spread of the disease

STI population model: Individuals (humans, mosquitoes) with properties (age, immunity…) and interactions (infect…) Evolve model, observe results, adjust parameters, repeat to fit field data (deaths, $ spent…)

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MalariaControl.net: scientific results

Prevalence

0.2 0.4 0.6 0.8 1 0.2 0.4 0.6 0.8 1

Sugungum Matsari Namawala

0.1 Age (years) 1 10 2 5 20 50

0.2 0.4 0.6 0.8 1

14 articles on STI model published in Am. J. Trop. Med. Hyg., 75 (supplement), 2006. Volunteer computing enables detailed models, more parameters, projecting future scenarios.

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MalariaControl.net: health impact

STI model predictions of cost‐effectiveness: Vaccine $1 ‐ $10 per dose with 52% efficacy = $4.73 ‐ $34.43 per fully‐immunized child = $450 ‐ $3,500 per death averted = $12 ‐ $96 per disability adjusted life year = $2.7M ‐ $19.8M per year for Mozambique

  • STI data reviewed by PATH Malaria Vaccine Initiative with stakeholders in Mozambique.
  • Instrumental in Mozambique now planning for possible future use of a malaria vaccine.
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Who are the volunteers?

8500 active volunteers and 15,000 hosts in 123 countries, growing at 50 volunteers/day

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AfricaMap: cartography from satellite images

BOSSA: open‐source software platform for volunteer thinking projects BOLT: toolkit for web‐based training and education

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The future: citizen cyberscience by Asian scientists for Asian challenges with worldwide volunteers