Alan Turing Binary code, Shoreditch High Street, London by Chris Beckett on Flickr (CC-BY-NC-ND license)
Over at democracy corner, Manchester Digital is interviewing all of its elected council members. Somehow, I got volunteered to be first interviewee. Here’s my two pence on one of the questions asked: “What do you think is biggest challenge we face as an industry?” (with some extra links)
- Firstly, coding and “computational thinking” , needs to be understood as something that isn’t just for developers, geeks, coders, techies, boffins or “whizz kids” – as the Manchester Evening News likes to call them. Computational thinking, the ability to understand problems and provide innovative solutions in software and hardware, is a fundamental skill that everyone can learn, starting in primary school. As well as being fun to learn and practice, it is a crucial skill in a wide range of organisations in digital and beyond. Thankfully, the new computing curriculum in UK schools has recognised and addressed this, but it remains to be seen what the long-term impact of the changes in primary & secondary education will be on employers.
- Secondly, as an industry, both the digital and technology sectors are seriously hindered by gender imbalance. If only 10-20% of employees are female, then large numbers of talented people are being excluded from the sector – bad news for everyone.
Is that reasonable – or have I missed the point? Are there more pressing issues facing the technology sector? Either way, you can read the rest of the interview at manchesterdigital.com/democracy-corner which will be supplemented with more interviews of council members every week over the next few months.
- Wing, J. (2008). Computational thinking and thinking about computing Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 366 (1881), 3717-3725 DOI: 10.1098/rsta.2008.0118
Three kinds of Software: Enthusiast, Enterprise & Consumer by Aral Balkan
It’s getting pretty hard to do anything these days that doesn’t involve software. Our governments, businesses, laboratories, personal lives and entertainment would look very different without the software that makes them tick. How can we classify all this software to make sense of it all? The likes of this huge list of software categories on wikipedia are pretty bewildering, and projects such as the Software Ontology (SWO)  are attempting to make sense of swathes of software too. There’s lots of software out there.
Aral Balkan, one of the people behind the Indie Phone, has proposed a simpler classification which will appeal to many people. In his classification, there are three kinds of software (see picture top right), as follows:
- Enthusiast software: like a classic car. We tinker with enthusiast software, in the same way motoring enthusiasts tinker with their classic cars. To the enthusiast, it is a joy when the software breaks, because that’s part of the fun, fixing it and getting it back on the road. However, you wouldn’t drive your classic car during your day job, or commute to work. Like a classic car, enthusiast software, is largely for weekends and evenings only. Raspberry Pi software is a classic example of enthusiast software made in garages by hobbyists.
- Enterprise software: like a juggernaut truck. We use enterprise software, because our employers mandate that we do so. It might not be fun to drive, or work particularly quickly, but enterprise software is often a necessary evil to get work done on an industrial scale. Cynics will tell you enterprisey software is slow because the engineers have:
“…added a delay of 3 seconds to every action and now users are feeling it’s enterprisey”.
Cynics will also tell you, enterprise software has been made by architecture astronauts, purchased by clueless decision-makers who don’t have actually have to use the software themselves, but have been hoodwinked in notorious“vendor meetings” which could explain the unpopularity of some enterprise software. But that’s another story…
- Consumer software: like a family saloon car. We rely on consumer software to get the job done, it is purely functional, does the job in a reliable (and boring) way on a daily basis, just like the vehicle you commute in. Consumer software can be found on your mobile phone and most consumer software is Application Software aka “Apps”.
I came across Aral’s classification at Wuthering Bytes last summer, a small and friendly festival of technology in the Pennines. Wuthering Bytes is running again next month, August 15th -17th and is well worth attending if you’re in the North of England and fancy having your bytes wuthered . It’s a great mix of talks by the likes of Sophie Wilson and many others combined with hands-on activities in beautiful Happy-Hippy-Hacky Hebden Bridge for a bargain £10 per day. It’s software (and hardware) for enthusiasts (not enterprises or consumers). What’s not to like?
- Malone, J., Brown, A., Lister, A., Ison, J., Hull, D., Parkinson, H., & Stevens, R. (2014). The Software Ontology (SWO): a resource for reproducibility in biomedical data analysis, curation and digital preservation Journal of Biomedical Semantics, 5 (1) DOI: 10.1186/2041-1480-5-25
- Brontë, Emily (1847) Wuthering Heights
Writing good code is often harder than it looks via Randall Munroe at xkcd.com
Manchester Digital is the independent trade association for the thriving digital sector in the North West of England. Last night they held their AGM and elections for new members of their council. I was encouraged to stand for election, and alongside 19 other candidates, had to give a two-minute “manifesto” in a husting / lightning-talk format. Here’s roughly what I said, from the perspective of software, hardware and developers, with some added links and a bit more polish:
The success of Manchester’s Digital economy is dependent on educating, recruiting and training a pool of talented developers to work in the region. As identified in the Manchester Digital skills audit, developers are often the hardest roles to fill, as many graduates and potential employees are drawn to other high-tech hubs like London, Silicon Fen and Silicon Valley, California for employment.
Addressing this issue is an important for Manchester Digital and requires closer collaboration between Higher education, Secondary education and employers. As a tutor at the University of Manchester, with responsibility for managing internships for students in Computer Science I am in a strong position to enable more collaboration between educators and employers. As a council member I would do this in four ways:
- Encouraging students to consider employment in Manchester as their first job, by promoting internships and graduate vacancies with local organisations alongside traditional graduate programmes at larger multinational companies
- Listening to what employers in Manchester want so that students can be better prepared for the workplace, while balancing the competing needs of training and education.
- Challenging local employers to raise their game to compete with larger employers and attract graduates to work for their organisations
- Inspiring the next generation of scientists and engineers by extending current work with schools and supporting undergraduate students doing outreach work involving Science, Technology, Engineering and Mathematics (STEM). For example: through the STEMnet ambassador programme, Code Club, Animation Festival, TeenTech and related work.
These are key activities that will enable the continued success of Manchester’s Digital Economy and I ask Manchester Digital members to vote for me if they agree. Thank you!
Whatever the outcome, the AGM & hustings were great fun and it was good to catchup with old friends and meet some new people too. Hope to see some of you again the Manchester Digital BBQ on 11th July…