Discovery by serendipity: a new context for an old riddle

García, Pío

doi:10.1007/s10698-008-9061-6

Cited by 9 publications

(4 citation statements)

References 13 publications

(13 reference statements)

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“…27 In some cases, an individual may be searching for a new idea, problem, solution, or opportunity. In combinatorial chemistry, for instance, which often yields new drugs, the notion of "a blind search" is part of the process, 28 with "serendipity mistakes" just a likely stage in the experiment. Going down a blind alley in search of some answer but finding another one, then, is almost built into the research process itself.…”

Section: Unsought Unexpected Anomalous and Inconsistent With Exist...mentioning

confidence: 99%

Serendipity as a Strategic Advantage?

Napier¹,

Vuong²

2022

Preprint

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Section: Unsought Unexpected Anomalous and Inconsistent With Exist...mentioning

confidence: 99%

Serendipity as a Strategic Advantage?

Napier¹,

Vuong²

2022

Preprint

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“…Serendipity has been recognized as an important component in many fields, such as scientific research [9], art [22] and humanistic research [20]. The main point of study, especially in creative thinking, has been the strive for understanding how different serendipitous encounters take place [7].…”

Section: Related Workmentioning

confidence: 99%

Burst the Filter Bubble: Using Semantic Web to Enable Serendipity

Maccatrozzo

2012

The Semantic Web – ISWC 2012

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Personalization techniques aim at helping people dealing with the ever growing amount of information by filtering it according to their interests. However, to avoid the information overload, such techniques often create an over-personalization effect, i.e. users are exposed only to the content systems assume they would like. To break this "personalization bubble" we introduce the notion of serendipity as a performance measure for recommendation algorithms. For this, we first identify aspects from the user perspective, which can determine level and type of serendipity desired by users. Then, we propose a user model that can facilitate such user requirements, and enables serendipitous recommendations. The use case for this work focuses on TV recommender systems, however the ultimate goal is to explore the transferability of this method to different domains. This paper covers the work done in the first eight months of research and describes the plan for the entire PhD trajectory.

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“…Our ability to design target chemical species or synthetic routes (usually via target-oriented synthesis, TOS) is predicated on previous knowledge, including models that attempt to explain patterns in chemical reactivity. New data is key to the development of materials, methods, or models, and serendipity often plays a large part in this process. , Methods that “engineer” serendipity into the chemical discovery process are of interest but hard to achieve when developing reliable approaches for library generation, for example. − Despite this, library generation is a powerful tool for gathering relevant data for pattern finding. It is possible to classify libraries as either “Focused” or “Prospecting,” depending on the region of chemical space accessed by members.…”

Section: Introductionmentioning

confidence: 99%

Automated Library Generation and Serendipity Quantification Enables Diverse Discovery in Coordination Chemistry

et al. 2023

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Library generation experiments are a key part of the discovery of new materials, methods, and models in chemistry, but the question of how to generate high quality libraries to enable discovery is nontrivial. Herein, we use coordination chemistry to demonstrate the automation of many of the workflows used for library generation in automated hardware including the Chemputer. First, we explore the target-oriented synthesis of three influential coordination complexes, to validate key synthetic operations in our system; second, the generation of focused libraries in chemical and process space; and third, the development of a new workflow for prospecting library formation. This involved Bayesian optimization using a Gaussian process as surrogate model combined with a metric for novelty (or serendipity) quantification based on mass spectrometry data. In this way, we show directed exploration of a process space toward those areas with rarer observations and build a picture of the diversity in product distributions present across the space. We show that this effectively "engineers" serendipity into our search through the unexpected appearance of acetic anhydride, formed in situ, and solvent degradation products as ligands in an isolable series of three Co(III) anhydride complexes.

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Discovery by serendipity: a new context for an old riddle

Cited by 9 publications

References 13 publications

Serendipity as a Strategic Advantage?

Serendipity as a Strategic Advantage?

Burst the Filter Bubble: Using Semantic Web to Enable Serendipity

Automated Library Generation and Serendipity Quantification Enables Diverse Discovery in Coordination Chemistry

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