Submissions/Using MediaWiki tools and Wikipedia community to crowdsource insights for aging and cancer research
This is an Open submission for Wikimania 2017 that has not yet been reviewed by a member of the Programme Committee.
- Submission no. 7041 - S1
- Title of the submission
- Using MediaWiki tools and Wikipedia community to crowdsource insights for aging and cancer research
- Type of submission (lecture, panel, tutorial/workshop, roundtable discussion, lightning talk, poster, birds of a feather discussion)
- Author of the submission
Alex Zhavoronkov, PhD
- type of submission
- Language of presentation
- E-mail address
- Country of origin
- Affiliation, if any (organisation, company etc.)
- The Biogerontology Research Foundation, UK
- Personal homepage or blog
- Abstract (up to 300 words to describe your proposal)
Using MediaWiki tools and Wikipedia community to crowdsource insights for aging and cancer research Aging is one of the most complex and multifactorial research areas in biomedicine with tens of thousands of interrelated cause and effect processes transpiring at the molecular, cellular, tissue, organ, system, organism, psychological, sociological and economic levels. Aging also leads to the loss of function that crystalizes into a broad spectrum of age-related diseases. Massive collaborative efforts are needed to study aging with thousands of scientists from multiple research areas contributing to the effort. There are multiple and often conflicting theories of aging and views on the treatment options and MediaWiki engine provides the ideal collaborative platform with conflict resolution and the ability to tap into the wast knowledge base provided by Wikipedia.Our group initiates the development of multiple non-profit collaborative platforms to study aging using Wikimedia-Wikipedia integration including the AgingChart.Org and ICD-11.Org and publishes these in peer-reviewed journals. gingChart.Org is a flexible and scalable system for building multilayer diagrams describing cause and effect relationships between the many aging-associated processes. Each node in the system is linked to one or multiple local Wikipedia pages mirrored from the main Wikipedia. These charts can be used to build complex biological pathways augmented using meta data from Wikipedia and apply deep learning techniques to develop biomarkers of aging and disease.
Moskalev A, Zhikrivetskaya S, Shaposhnikov M, Dobrovolskaya E, Gurinovich R, Kuryan O, Pashuk A, Jellen LC, Aliper A, Peregudov A, Zhavoronkov A. Aging Chart: a community resource for rapid exploratory pathway analysis of age-related processes. Nucleic acids research. 2016 Jan 4;44(D1):D894-9. https://academic.oup.com/nar/article-lookup/doi/10.1093/nar/gkv1287
- What will attendees take away from this session?
The attendees will learn how to develop open-access platforms using the Wikimedia engine with Wikipedia integration and engaging multiple and often conflicting interest groups to collaborate. The attendees will also learn how to publish these systems in peer-reviewed literature and engage high-level experts to contribute. The attendees will also get a brief glimpse of the deep learning techniques that can be used to learn from these collaborative environments. Finally, the attendees will get a brief overview of the aging process and the current consensus view of aging in the context of disease.
- Theme of presentation
- WikiCulture & Community
- Technology, Interface & Infrastructure
- For workshops and discussions, what level is the intended audience?
- Length of session (if other than 25 minutes, specify how long)
- 25 minutes
- Will you attend Wikimania if your submission is not accepted?
- Slides or further information (optional)
- Special requests
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