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Oxford University Press is excited to be welcoming Professor Steve Furber as the new Editor-in-Chief of The Computer Journal. In an interview between Justin Richards of BCS, The Chartered Institute of IT and Steve, we get to know more about the SpiNNaker project, ethical issues around Artificial Intelligence (AI), and the future of the IT industry.
Many attempts have been made to explain the historic and current lack of women working in STEM fields. During her two years of service as Director of Policy Planning for the US State Department, from 2009 to 2011, Anne-Marie Slaughter suggested a range of strategies for corporate and political environments to better support women at work. These spanned from social-psychological interventions to the introduction of role models and self-affirmation practices. Slaughter has written and spoken extensively on the topic of equality between men and women. Beyond abstract policy change, and continuing our celebration of women in STEM, there are practical tips and guidance for young women pursuing a career in Science, Technology, Engineering, or Mathematics.
(1) &nsbp; Be open to discussing your research with interested people.
From in-depth discussions at conferences in your field to a quick catch up with a passing colleague, it can be endlessly beneficial to bounce your ideas off a range of people. New insights can help you to better understand your own ideas.
(2) &nsbp; Explore research problems outside of your own.
Looking at problems from multiple viewpoints can add huge value to your original work. Explore peripheral work, look into the work of your colleagues, and read about the achievements of people whose work has influenced your own. New information has never been so discoverable and accessible as it is today. So, go forth and hunt!
Meeting by StartupStockPhotos. Public domain via Pixabay.
(3) &nsbp; Collaborate with people from different backgrounds.
The chance of two people having read exactly the same works in their lifetime is nominal, so teaming up with others is guaranteed to bring you new ideas and perspectives you might never have found alone.
(4) &nsbp; Make sure your research is fun and fulfilling.
As with any line of work, if it stops being enjoyable, your performance can be at risk. Even highly self-motivated people have off days, so look for new ways to motivate yourself and drive your work forward. Sometimes this means taking some time to investigate a new perspective or angle from which to look at what you are doing. Sometimes this means allowing yourself time and distance from your work, so you can return with a fresh eye and a fresh mind!
(5) &nsbp; Surround yourself with friends who understand your passion for scientific research.
The life of a researcher can be lonely, particularly if you are working in a niche or emerging field. Choose your company wisely, ensuring your valuable time is spent with friends and family who support and respect your work.
Image Credit: “Board” by blickpixel. Public domain via Pixabay.
Alan Mathison Turing (1912-1954) was a mathematician and computer scientist, remembered for his revolutionary Automatic Computing Engine, on which the first personal computer was based, and his crucial role in breaking the ENIGMA code during the Second World War. He continues to be regarded as one of the greatest scientists of the 20th century.
We live in an age that Turing both predicted and defined. His life and achievements are starting to be celebrated in popular culture, largely with the help of the newly released film The Imitation Game, starring Benedict Cumberbatch as Turing and Keira Knightley as Joan Clarke. We’re proud to publish some of Turing’s own work in mathematics, computing, and artificial intelligence, as well as numerous explorations of his life and work. Use our interactive Enigma Machine below to learn more about Turing’s extraordinary achievements.
Image credits: (1) Bletchley Park Bombe by Antoine Taveneaux. CC-BY-SA-3.0 via Wikimedia Commons. (2) Alan Turing Aged 16, Unknown Artist. Public domain via Wikimedia Commons. (3) Good question by Garrett Coakley. CC-BY-SA 2.0 via Flickr.
Apps are all the rage nowadays, including apps to help fight rage. That’s right, the iTunes app store contains several dozen apps designed to manage anger or reduce stress. Smartphones have become such a prevalent component of everyday life, it’s no surprise that a demand has risen for phone programs (also known as apps) that help us manage some of life’s most important elements, including personal health. But do these programs improve our ability to manage our health? Do health apps really matter?
Early apps for patients with diabetes demonstrate how a proposed app idea can sound useful in theory but provide limited tangible health benefits in practice. First generation diabetes apps worked like a digital notebook, in which apps linked with blood glucose monitors to record and catalog measured glucose levels. Although doctors and patients were initially charmed by high tech appeal and app convenience, the charm wore off as app use failed to improve patient glucose monitoring habits or medication compliance.
Fitness apps are another example of rough starts among early health app attempts. Initial running apps served as an electronic pedometer, recording the number of steps and/or the total distance ran. These apps again provided a useful convenience over using a conventional pedometer, but were unlikely to lead to increased exercise levels or appeal to individuals who didn’t already run. Apps for other health related topics such as nutrition, diet, and air pollution ran into similar limitations in improving healthy habits. For a while, it seemed as if the initial excitement among the life sciences community for e-health simply couldn’t be translated to tangible health benefits among target populations.
Image credit: Personal Health Apps for Smartphones.jgp, by Intel Free Press. CC-BY-2.0 via Wikimedia Commons.
Luckily, recent changes in app development ideology have led to noticeable increases in health app impacts. Health app developers are now focused on providing useful tools, rather than collections of information, to app users. The diabetes app ManageBGL.com, for example, predicts when a patient may develop hypoglycemia (low blood sugar levels) before the visual/physical signs and adverse effects of hypoglycemia occur. The running app RunKeeper connects to other friend’s running profiles to share information, provide suggested running routes, and encourage runners to speed up or slow down for reaching a target pace. Air pollution apps let users set customized warning levels, and then predict and warn users when they’re heading towards an area with air pollution that exceeds warning levels. Health apps are progressing beyond providing mere convenience towards a state where they can help the user make informed decisions or perform actions that positively affect and/or protect personal health.
So, do health apps really matter? It’s unlikely that the next generation of health apps will have the same popularity as Facebook or widespread utility such as Google maps. The impact, utility, and popularity of health apps, however, are increasing at a noticeable rate. As health app developers continue to better their understanding of health app strengths and limitations and upcoming technologies that can improve health apps such as miniaturized sensors and smartglass become available, the importance of health related apps and proportion of the general public interested in health apps are only going to get larger.
