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We want you to know we use cookies to support features like login; without them, you're unlikely to be able to use our sites. By browsing our site with cookies enabled, you are agreeing to their use; read our newly updated privacy policy here to find out more. Sort by All Space Climate Humanities Nature Biology Physics How do galaxies form? NASA's Hubble Space Telescope archive provides hundreds of thousands of galaxy images. How do stars form? We're asking you to help us find and draw circles on infrared image data from the Spitzer Space Telescope. Sorting out Sunspots Help us organize sunspot images in order of complexity to better understand the Sun’s magnetic activity. Discover Floating Forests We are trying to understand how forests of kelp grow and change over time.

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5 data mining methods - The Daily Universe Editor’s note: This story pairs with “Data mining: how it works, why it’s important” There are many methods of data collection and data mining. Here are some of the most common forms of data mining and how they work: Buy This Infographic as a Full-Size Poster Astronomers have discovered more than 700 alien planets beyond the solar system, and the count is rising all the time. Some are large and hot, and others are smaller and cooler, but scientists are still on the lookout for an Earth twin. They just got closer, with the announcement Dec. 5 of a planet found by NASA's Kepler space telescope to lie in the habitable zone around its star where liquid water, and perhaps life, could exist. You can purchase a 20"x60" poster of this infographic on high-quality 14G Photo Paper from the store here: Buy Poster Embed: Paste the code below into your site.

Build Model Atoms and More on the NOVA Elements App NOVA Elements for iPad is an excellent iPad app for helping students learn about the periodic table of elements. The app is "hosted" by NY Times technology reviewer David Pogue. There are three primary features of the app. Those features are called Explore, Watch, and Play. The Explore feature of NOVA Elements for iPad contains and interactive periodic table of elements. The 7 Most Important Data Mining Techniques Data mining is the process of looking at large banks of information to generate new information. Intuitively, you might think that data “mining” refers to the extraction of new data, but this isn’t the case; instead, data mining is about extrapolating patterns and new knowledge from the data you’ve already collected. Relying on techniques and technologies from the intersection of database management, statistics, and machine learning, specialists in data mining have dedicated their careers to better understanding how to process and draw conclusions from vast amounts of information. But what are the techniques they use to make this happen? Data Mining Techniques

SIMBAD Astronomical Database What is SIMBAD, and what is it not ? % The purpose of Simbad is to provide information on astronomical objects of interest which have been studied in scientific articles. Simbad is a dynamic database, updated every working day. It provides the bibliography, as well as available basic information such as the nature of the object, its coordinates, magnitudes, proper motions and parallax, velocity/redshift, size, spectral or morphological type, and the multitude of names (identifiers) given in the literature. The CDS team also performs cross-identifications based on the compatibility of several parameters, in the limit of a reasonably good astrometry.

About: Participatory Science Platform - Science Into Action Participatory Science Platform (PSP) – What is it? The Participatory Science Platform (PSP) initiative was identified in the Science in Society strategic plan, A Nation of Curious Minds, and developed by the Ministry of Business, Innovation and Employment (MBIE) and the Ministry of Education with close involvement of the Prime Minister’s Chief Science Advisor. The PSP builds on the popularity of citizen science, but rebalances the relationship between the lay person and scientist through a highly collaborative approach. MBIE has initiated and funded three PSP pilots in Otago, Taranaki and South Auckland, with the intent to be evaluate these pilots over 2016/17.

17 Data Science Applications & Examples You Should Know Data scientists tackle questions about the future. They start with big data, characterized by the three V’s: volume, variety and velocity. Then, they use it as fodder for algorithms and models. The most cutting-edge data scientists, working in machine learning and AI, make models that automatically self-improve, noting and learning from their mistakes. Geometry of the Universe Can the Universe be finite in size? If so, what is ``outside'' the Universe? The answer to both these questions involves a discussion of the intrinsic geometry of the Universe. At this point it is important to remember the distinction between the curvature of space (negative, positive or flat) and the toplogy of the Universe (what is its shape = how is it connected). It is possible to different curvatures in different shapes.

Citizen Science Project - NZ Landcare Trust 'Citizen Science Meets Environmental Restoration: measuring success through monitoring' is a three year project funded with support from MfE's Community Environment Fund, that aims to improve the leadership, strategic direction and coordination of citizen science in New Zealand. ‘Citizen Science’ involves community volunteers using practical field monitoring tools, that meet scientific best practice, to report on the state of their local environment. Key activities of the project include: • growing support for citizen science in New Zealand • determining the scope and availability of citizen science monitoring tools and training • investigating approaches for enabling and expanding community-based environmental monitoring • promoting more effective use of data from community monitoring • sharing findings through a national symposium Subscribe to NZ Landcare Trust's e-newsletter on the home page to make sure you don't miss out on any news or announcements linked to this project. Contact

Catherine D’Ignazio: 'Data is never a raw, truthful input – and it is never neutral' Our ability to collect and record information in a digital form has exploded as has our adoption of AI systems, which use data to make decisions. But data isn’t neutral, and sexism, racism and other forms of discrimination are showing up in our data products. Catherine D’Ignazio, an assistant professor of urban science and planning at the Massachusetts Institute of Technology (MIT), argues we need to do better. Along with Lauren Klein, who directs the Digital Humanities Lab at Emory University, she is the co-author of the new book Data Feminism, which charts a course for a more equitable data science. D’Ignazio also directs MIT’s new Data and Feminism lab, which seeks to use data and computation to counter oppression. What is data feminism and why do we need it?

The Absurdity of Infinity: Astrophysicist Janna Levin Explains Whether the Universe Is Infinite or Finite in Letters to Her Mother – Brain Pickings By Maria Popova In 1998, while on the cusp of becoming one of the most significant theoretical cosmologists of our time, mathematician-turned-astrophysicist Janna Levin left her post at Berkeley and moved across the Atlantic for a prestigious position at Cambridge University. During the year and a half there, she had the time and space to contemplate the question that would eventually become the epicenter of her career — whether the universe is infinite or finite.