Lords of the fly: Drosophila genetics and the experimental life.

By R. Kohler. 1994

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Evaluation & Benchmarks

Citations in the corpus

AI and the Everything in the Whole Wide World Benchmark (2021, background): “The goal is not to cure a disease for the fly, believing that to be the cure for the same disease in a human — the goal is to explore safely and test hypotheses for the details of a broader plan for intervention, and aiming for performance on a more specific and representative target or evaluation [”
Bringing the People Back In: Contesting Benchmark Machine Learning Datasets (2020, background): “Kohler (1994) asks how some types of organisms – for instance, the drosophila mentioned above – became the model organism for a particular field of study.”
An exploration of the sequence of a 2.9-Mb region of the genome of Drosophila melanogaster: the Adh region. (1999, background): “…of thecomplete sequences of the 338-kb bithorax and 430-kbleagues at Harvard University introduced Drosophila melanogaster to the joys and rigors of scientific research Antennapedia regions (Lewis et al. 1995; Martin et al. 1995; S. Celniker, B. Pfeiffer, J. Knafels, C. Mayeda,(Kohler 1994).”
What’s so special about model organisms? (2011, background): “…but rather one derived from the historical context in which model organism research 8 For more detailed arguments on the historical, epistemic, and social processes involved in constructing standard specimens of organisms, see e.g. Kohler, 1994; Leonelli, 2007b; and Kirk, 2010. was developed.”
Re-thinking organisms: The impact of databases on model organism biology. (2012, background): “The Drosophila community originated in the early 1900s in Morgan’s Columbia laboratory with the purpose of producing a genetic map of the fruitfly’s chromosomes (Kohler, 1994).”
Is chess the drosophila of artificial intelligence? A social history of an algorithm (2012, background): “As the work of Robert Kohler and others remind us, the choice of an experimental organism (or in this case, technology) is never an epistemologically neutral decision (Burian, 1993; Kohler, 1994; Waters, 2004).”
Biohackers: The Politics of Open Science (2013, background): “Revolutionary science is the engine of scientific advancement in Thomas Kuhn’s The structure of scientific revolutions (1996). Kuhn introduced sociology in the epistemological approach and attributed paradigm shifts to the efforts of young scientists towards the imposition of new ideas over establis”
Does Patent Strategy Shape the Long-Run Supply of Public Knowledge? Evidence from Human Genetics (2009, background): “With publication, researchers are now subject to the informal norms of public science; material sharing, data exchange, assistance with tacit knowledge etc. (Kohler, 1994).”