Hack Day Ideas

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* '''Acknowledgement Parser'''. Parse the acknowledgements section of a large number of papers, identify the people and software that are most frequently mentioned, and give these credit on a web page. [Geert]
 
* '''Acknowledgement Parser'''. Parse the acknowledgements section of a large number of papers, identify the people and software that are most frequently mentioned, and give these credit on a web page. [Geert]
 
(Partly already available at ADS: in the search box use ack:"XXXX" to search the acknowledgment section [Karen])
 
(Partly already available at ADS: in the search box use ack:"XXXX" to search the acknowledgment section [Karen])
*'''Reference Gender Checker'''. Is your letter of recommendation too gendered. Are you using too many "nice" adjectives for your female letters? I'd like to develop a service which allows plain text upload of letters, strips them for adjectives and gives an objective answer. [Karen]
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*'''Reference Gender Checker'''. Is your letter of recommendation too gendered. Are you using more communal adjectives (e.g. affectionate, helpful, kind, sympathetic, sensitive, nurturing, agreeable, tactful, interpersonal, warm, caring) and not enough agnetic adjectives (e.g. assertive, confident, aggressive, ambitious, dominant, forceful, independent, daring, outspoken, intellectual) for letters for your female students or postdocs compared to the men? I'd like to develop a service which allows plain text upload of letters, strips them for these adjectives and gives an objective answer to this dilemma. Idea inspired by [http://www.academic.umn.edu/wfc/rec%20letter%20study%202009.pdf Madera, Hebl and Martin 2009] paper which suggests this type of language difference is typical, and damaging to careers of women in academia. [Karen]
  
  

Revision as of 10:10, 21 February 2014

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