The James Webb Space Telescope Mission

Twenty-six years ago a small committee report, building on earlier studies, expounded a compelling and poetic vision for the future of astronomy, calling for an infrared-optimized space telescope with an aperture of at least $4m$. With the support of their governments in the US, Europe, and Canada, 20,000 people realized that vision as the $6.5m$ James Webb Space Telescope. A generation of astronomers will celebrate their accomplishments for the life of the mission, potentially as long as 20 years, and beyond. This report and the scientific discoveries that follow are extended thank-you notes to the 20,000 team members. The telescope is working perfectly, with much better image quality than expected. In this and accompanying papers, we give a brief history, describe the observatory, outline its objectives and current observing program, and discuss the inventions and people who made it possible. We cite detailed reports on the design and the measured performance on orbit.Comment: Accepted by PASP for the special issue on The James Webb Space Telescope Overview, 29 pages, 4 figure

ExpandNet innovation characteristics.

<p>ExpandNet innovation characteristics.</p

Country progress with scaling- up VMMC programs in focal countries (December 2010).

<p>Score range is 0 (lowest) to 3 (highest).</p>a<p>The grading is based on the date of publication or official launch of these documents.</p

Diffusion of Innovation adoption status.

<p>The typical distribution of categories of adopters according to the DOI theory is shown in this figure. The very first adopters or innovators typically represent 2.5% of the population. The next group of adopters, called early adopters, represent about 13.5% of the population and are followed by the early majority, who represent approximately 34% of the total population. The next 34% of the population to adopt are the late majority; this group is followed by the remaining 16% of the population, who are the laggards, the last to adopt a new innovation.</p

Association of scale-up element scores and Diffusion of Innovation adoption status.

<p>The correlation between each of the six elements of scale-up and DOI adoption status is shown in this figure. The scores obtained (ranging from 0 to 3) for each element by each country is shown (on the vertical axis) in relation to the adoption status (shown on the horizontal axis). Having a pilot program appears to be the strongest predictor of adoption status; this can be seen in the linear clustering of the countries. Conversely, having conducted a situational analysis appears to the least predictive of adoption status; the clustering of the countries is less linear and appears more random. BOT, Botswana; KEN, Kenya; LES, Lesotho; MAL, Malawi; MOZ, Mozambique; NAM, Namibia; RWA, Rwanda; SAF, South Africa; SWA, Swaziland; TAN, Tanzania; UGA, Uganda; ZAM, Zambia; ZIM, Zimbabwe.</p

Service delivery statistics.

<p>These data were compiled by the PEPFAR Male Circumcision Technical Working Group and largely reflect data collated from sites funded by this agency.</p>a<p>Nyanza Province only.</p

VMMC key elements of program scale-up scoring key.

<p>VMMC key elements of program scale-up scoring key.</p