Science is knowledge work: cumulatively building on prior results and turning observations and hypothesis into new, pooled knowledge through experimentation, comparison, and analysis. Turns depend on the flow and availability of knowledge and the willingness of scientists to collaborate and exchange. In principle, the reproducibility of results is a pillar of the scientific method (though often not in practice). For the last 25 years I have been working as an applied Computer Scientist, partnering with scientists - biologists, chemists, astronomers, social scientists etc - on challenging computational, data and knowledge intensive problems.
How have I helped (e-)Science? How have scientists helped me? What are the helpers/blockers to the flow of knowledge in Science? Is computational science reproducible? Why do we evaluate 21st century scientific research using 19th century reward schemes? Why did I start as a Computer Scientist and, proudly, end up as a Software Engineer and Social Worker?Helping Scientists do Science: Confessions of an Applied Computer Scientist.