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We introduce Peekaboom, an entertaining web-based game that can help computers locate objects in images. People play the game because of its entertainment value, and as a side effect of them playing, we collect valuable image metadata, such as which pixels belong to which object in the image. The collected data could be applied towards constructing more accurate computer vision algorithms, which require massive amounts of training and testing data not currently available. Peekaboom has been played by thousands of people, some of whom have spent over 12 hours a day playing, and thus far has generated millions of data points. In addition to its purely utilitarian aspect, Peekaboom is an example of a new, emerging class of games, which not only bring people together for leisure purposes, but also exist to improve artificial intelligence. Such games appeal to a general audience, while providing answers to problems that computers cannot yet solve.

Goals of the ShanghAI Lectures The ShanghAI Lectures project aims at making education and knowledge on cutting-edge scientific topics accessible to everyone exploring novel methods of knowledge transfer building a sustainable community of students and researchers in the area of Embodied Intelligence overcoming the complexity of a multi-cultural and interdisciplinary learning context bringing global teaching to a new level These lectures about Natural and Artificial Intelligence are held via videoconference at the University of Zurich in Switzerland, the University of Salford/MediaCityUK in the United Kingdom, Shanghai Jiao Tong University in China, and about 12 other universities around the globe. Students from the participating universities work together on the exercises, using a powerful robotics simulator software.

Help scientists recover worldwide weather observations made by Royal Navy ships around the time of World War I. These transcriptions will contribute to climate model projections and improve a database of weather extremes. Historians will use your work to track past ship movements and the stories of the people on board.

Help solar scientists spot explosions on the Sun and track them across space to Earth. Your work will give astronauts an early warning if dangerous solar radiation is headed their way. And you could make a new scientific discovery.

You can help marine researchers understand what whales are saying. Listen to the large sound and find the small one that matches it best. Click 'Help' below for an interactive guide.

Helping scientists in developing countries to access the power of internet-based volunteer computing and volunteer thinking.

The GalaxyZoo project invites collaborators to take part in an initiative to classify galaxies. By tapping the available time from thousands of gamers and avoiding the expense of labor-intensive non-specialty research, highly qualified scientists are able to focus on specialty tasks and tremendous efficiencies are achieved in terms of speed, results, and reduced research costs.

A real-time, online checklist program, eBird has revolutionized the way that the birding community reports and accesses information about birds. Launched in 2002 by the Cornell Lab of Ornithology and National Audubon Society, eBird provides rich data sources for basic information on bird abundance and distribution at a variety of spatial and temporal scales. eBird's goal is to maximize the utility and accessibility of the vast numbers of bird observations made each year by recreational and professional bird watchers. It is amassing one of the largest and fastest growing biodiversity data resources in existence.

Milkyway@Home uses the BOINC platform to harness volunteered computing resources, creating a highly accurate three dimensional model of the Milky Way galaxy using data gathered by the Sloan Digital Sky Survey. This project enables research in both astroinformatics and computer science. In computer science, the project is investigating different optimization methods which are resilient to the fault-prone, heterogeneous and asynchronous nature of Internet computing; such as evolutionary and genetic algorithms, as well as asynchronous newton methods. While in astroinformatics, Milkyway@Home is generating highly accurate three dimensional models of the Sagittarius stream, which provides knowledge about how the Milky Way galaxy was formed and how tidal tails are created when galaxies merge.

The Great Sunflower Project targets bee and gardening enthusiasts to help research on a large scale what wild bees are doing and what effects there are on polination of garden plants, crops and wild plants.

DREAM (Dialogue for Reverse Engineering Assessments and Methods) poses fundamental questions about systems biology, and invites participants to propose solutions. The main objective is to catalyze the interaction between theory and experiment, specifically in the area of cellular network inference and quantitative model building. DREAM challenges address how we can assess the quality of our descriptions of networks that underlie biological systems, and of our predictions of the outcomes of novel experiments. These are not simple questions. Researchers have used a variety of algorithms to deduce the structure of biological networks and/or to predict the outcome of perturbations to their systems. They have also evaluated the success of their methodologies using a diverse set of non-standardised metrics. What is still needed, and what DREAM aims to achieve, is a fair comparison of the strengths and weaknesses of these methods and a clear sense of the reliability of the models that researchers create.

The Open Dinosaur Project was founded to involve scientists and the public alike in developing a comprehensive database of dinosaur limb bone measurements, to investigate questions of dinosaur function and evolution. We have three major goals:1) do good science; 2) do this science in the most open way possible; and 3) allow anyone who is interested to participate. And by anyone, we mean anyone! We do not care about your education, geographic location, age, or previous background with paleontology. The only requirement for joining us is that you share the goals of our project and are willing to help out in the efforts.

In occasion of the Haiti earthquake an European Commission's Joint Research Center team used the damage reports mapped on the Ushahidi-Haiti platform to show that this crowdsourced data can help predict the spatial distribution of structural damage in Port-au-Prince

The Third Reviewer is a forum for scientists to share opinions about recently published research. It's like journal club, but... Faster. No need to set aside an hour of your time. Convenient. Check in from home or at lab, at 5 a.m. or 10 p.m. Comprehensive.

The core service of Faculty of 1000 (F1000) identifies and evaluates the most important articles in biology and medical research publications. The selection process comprises a peer-nominated global 'Faculty' of the world's leading scientists and clinicians who rate the best of the articles they read and explain their importance.

What is Pink Army? Pink army isn't like anything you've seen before. A new approach to developing breast cancer treatments. Pink Army is a community-driven, member owned Cooperative operating by open source principles. Using synthetic biology and virotherapy to bring individualized treatments tailored to each patient's DNA and cancer, faster and cheaper than ever before.

The US Nuclear Data Program (USNDP) collects, evaluates, and disseminates nuclear physics data for basic nuclear physics and for applied nuclear technology communities in the United States.

Open access to 747,019 e-prints in Physics, Mathematics, Computer Science, Quantitative Biology, Quantitative Finance and Statistics 29 Mar 2012: new "culturomics" arXiv analysis tool available 6 Feb 2012: January arXiv Sustainability Initiative update See cumulative "What's New" pages.

We design and engineer biotic games in order to solve educational challenges and to support biomedical research. Playing games is deeply rooted in human culture, with new game modalities being repeatedly facilitated by new technology, such as video games enabled by electronics. Despite the recent advancements in biotechnology there is virtually no impact on gaming yet.

The Biotic Games project (Stanford University) enables players to interact directly with microorganisms. The game's "hardware" is a simple console which is hooked up to a lab slide. When players push buttons on the console the microorganisms on the slide react. These reactions are displayed onscreen in real-time via a microscopic camera.

Aims to improve access to scientific research data for Canadians and provide resources to guide data management activities. Browse Data Sets Access Canadian scientific, technical and medical (STM) data sets from a broad range of scientific disciplines. Data Management and Curation A resource for researchers looking for information on policies and best practices to guide their data management and curation activities.