All Postings (95)

2017

Best of 2017

Working Remotely

Computer Science and IT

Taking stock! Physics

Subversive? Physics?

My Philosophy!

Scripts Beget Scripts

2016

Theoretical Physics. A Hobby.

Self-Referential Poetry

Silent Online Writing

'Are You Still Doing PKI?'

My Philosophy (?)

Impact of physics on my life

Not much happened in 2015

2015

Unspeakable

Self-Poetry

Farewell Posting ...

Hacking away...

Web Project - Status

We Interrupt ...

Poetry from Poetry

PKI-Status-Update

Life and Work

Definition: 'Subversive'

2014 in Books

Physics Postings

Engineering Postings

True Expert

2014

2014 - a Good Year

Physics or Engineering?

Engineering Links

What Is Art?

Bio

PKI FAQ

Google's Poetic Talents

Certificates and Heat Pumps

Nr. 5: A Mind-Altering Experience

Technet postings

WOP!

Pink Spaceship

radices = Roots!

IT Postings

Web Projects

Life, the Universe, and Everything

Uh-oh, No Posting in March

PKI Resources

PKI Issues

Subversive Work

Spam Poetry

A Career 'in Science'

Writing

On the Shoulders of Subversive Giants

Search Term Poetry

Facebook Art

2013 in Books

2013

Explain, Evaluate, Utilize

Technology

About Life-Form Elke Stangl

elkement and This Site

No. 3: Internet Apocalypso

Retrospection

Newsletter Resurrection

2012

For Free

Subversive Yearly Report

Is My Life a Cliché?

Indulging in Cliché

Torture Turning Trivia

Intermittent Netizen

Knowledge Worker...

Profile

Physics on the Fringe

Graduation Speech

The Element is Back!

Offline

Physics Links

2011

Not Funny

Calendar and Magic

Expert

In Need of a Deflector

About to Change

A Nerd's Awakening

For the Sake of Knowledge

2008

Profession Or True Calling?

No. 2: On Self-Reference

I Have No Clue About Art

Netizen

2007

The End

No. 1: On Subversion at Large

2005

Emergency Exit

Modern Networker

2004

The Scary Part

Exploring the Work Space

2003

Instead of a CV

Favorite Books

2002

Elke was here

I will try to explore my relationship with IT / software / computers / computer science / software engineering or whatever the best term is to describe it. I am in a mode of looking back with content, and making small changes, learning a bit more.

As often, thinking in 'opposites' comes most natural to me:

Self-study versus formal education. The IT and software industry is young and - I believe - had originally been populated by people without a formal training in computer science as this did not yet exist as an academic discipline. The community was open to outsiders with no formal training or unrelated experience. As a former colleague with a psychology background put it: In the old times, anybody who knew how to hold a computer mouse correctly, was suddenly considered an expert.

I absorbed the hacker ethics of demonstrating your skills rather than showing off papers, and I am grateful about the surprisingly easy start I had in the late 1990s. I just put up a sign in a sense, saying Will Do Computers, and people put trust in me.

I am not 'against' formal education though. Today I enjoy catching up on computer science basics by reading classics like Structure and Interpretation of Computer Programs.

Breaking versus building things. I have been accountable for 'systems' for a long time, and I have built stuff that lasted for longer than I expected. Sometimes I feel like a COBOL programmer in the year of 2000.

But I believe what interested me most is always to find out how stuff works - which also involves breaking things. Debugging. Reverse Engineering. Troubleshooting. All this had always been useful when building things, especially when building on top of or interfacing with existing things - often semi-abandoned blackboxes. This reverse engineering mentality is what provided the connection between physics and IT for me in the first place.

It was neither the mathematical underpinnings of physics and computer science, or my alleged training in programming - I had one class Programming for physicists, using FORTRAN. It was the way an experimental physicist watches and debugs a system 'of nature', like: the growth of thin films in a vacuum chamber, from a plasma cloud generated by evaporating a ceramic target bombarded with laser pulses. Which parameter to change to find out what is the root cause or what triggers a system to change its state? How to minimize the steps to trace out the parameter space most efficiently?

Good-enough approach versus perfectionism. 80/20 or maybe 99/1. You never know or need to know anything. I remember the first time I troubleshooted a client's computer problem. I solved it. Despite knowing any details of what was going on. I am sort of embarrassed by my ignorance and proud at the same time when I look back.

In moment like this I felt the contrast between the hands-on / good-enough approach and the perfectionism I applied in my pervious (academic) life. I remember the endless cycles of refinement of academic papers. Prefixing a sentence with Tentatively, we assume,... just to be sure and not too pretentious though I was working in a narrow niche as a specialist.

But then - as a computer consultant - I simply focused on solving a client's problem in a pragmatic way. I had to think on my feet, and find the most efficient way to rule out potential root causes - using whatever approach worked best: Digging deep into a system, clever googling, or asking a colleague in the community (The latter is only an option if you are able to give back someday).

Top-down, bottom-up, or starting somewhere in the middle. I was not a typical computer nerd as a student. I had no computer in high school except a programmable calculator - where you could see one line of a BASIC program at a time. I remember I had fun with implementating of the Simplex algorithm on that device.

However, I was rather a user of systems, until I inherited (parts of) an experimental setup for measuring electrical properties of samples cooled down by liquid nitrogen and helium. I had to append the existing patchwork of software by learning Turbo Pascal on the job.

Later, I moved to the top level of the ladder of abstraction by using *shock, horror* Visual Basic for Applications, ASP, and VBScript. In am only moving down to lower levels now, finally learning C++, getting closer to assembler and thus touching the interface between hardware and software. Which is perhaps where a one should be, as a physicist.

Green-field or renovation (refactoring). I hardly ever had the chance to or wanted to develop something really from scratch. Constraints and tough limiting requirements come with an allure of their own. This applies to anything - from software to building and construction.

So I enjoy systems' archaeology, including things I have originally created myself, but not touched in a while. Again the love for debugging complements the desire to build something.

From a professionals' point of view, this is a great and useful urge to have: Usually not many people enjoy fiddling with the old stuff, painstakingly researching and migrating it. It's the opposite of having a chance to implement the last shiny tool you learned about in school or in your inhouse presentation (if you work for a software vendor).

In awe of the philosophy of fundamentals versus mundane implementation. I blogged about it recently: Joel Spolsky recommended, tongue-in-cheek, to mention that Structure and Interpretation of Computer Programs brought you to tears - when applying for a job as a software developer.

But indeed: I have hardly attended a class or read a textbook that was at the same time so profoundly and philosophically compelling but also so useful for any programming job I was involved in right now.

Perhaps half of older internet writing reflects my craving for theses philosophical depths versus the hard truth of pragmatism that is required in a real job. At the university I had been offered to work on a project for optimizing something about fluid dynamics related to the manufacturing of plastic window frames. The Horror, after I had read Gödel, Escher, Bach and wanted to decode the universe and solve the most critical problems of humanity via science and technology.

I smile at that now, with hindsight. I found, in a very unspectacular way, that you get passionate about what you are good at and what you know in depth, not the other way round. I was able to possibly reconnect with some of my loftier aspirations, like I could say I Work In Renewable Energy. However, truth is that I simply enjoy the engineering and debugging challenge, and every mundane piece of code refverberates fundamental truths as the ones described in Gödel, Escher, Bach or Structure and Interpretation.

Personal website of Elke Stangl, Zagersdorf, Austria, c/o punktwissen.
elkement [at] subversiv [dot] at. Contact