Tweets

Isto Huvila @ihuvila Follow : we can't design but we can design s for it 3 years 7 months ago Reply Retweet Favorite
Isto Huvila @ihuvila Follow presenting 3 key s for w 3 corresponding personal factors https://t.co/flog9W9Mej 3 years 7 months ago Reply Retweet Favorite
Isto Huvila @ihuvila Follow Eric T Meyer: Structural challenges of https://t.co/8zRK0RFZIM 3 years 7 months ago Reply Retweet Favorite
Isto Huvila @ihuvila Follow RT : Great question about how this work might be used by patients themselves, esp. given the "doing now what patients need next" motto 3 years 7 months ago Reply Retweet Favorite
Isto Huvila @ihuvila Follow Technological optimism meets social pessimism (or do you call it realism) at keynote discussion? 3 years 7 months ago Reply Retweet Favorite
Isto Huvila @ihuvila Follow RT : Bundschus says we can't just use the data, we need to deeply annotate it at 3 years 7 months ago Reply Retweet Favorite
Isto Huvila @ihuvila Follow Learning system according to Bundschus Nice but has some conceptual/practical similarities w… https://t.co/YbOuUc2weh 3 years 7 months ago Reply Retweet Favorite
Isto Huvila @ihuvila Follow RT : So many Europeans at , they even have to occupy the Central Ohio SIG table (sorry to Buckeye staters) https://t.co/Xu9oqC1o6r 3 years 7 months ago Reply Retweet Favorite
Isto Huvila @ihuvila Follow RT : "Text mining as an enabler to read more relevant things" - depends on how you define relevance. 3 years 7 months ago Reply Retweet Favorite
Isto Huvila @ihuvila Follow Publishing patterns up to 15y prior drug approval process show differences between approved and failed drugs 3 years 7 months ago Reply Retweet Favorite
Isto Huvila @ihuvila Follow RT : I love the idea of annotating documents and sharing annotations, but how do we promote actual use? 3 years 7 months ago Reply Retweet Favorite
Isto Huvila @ihuvila Follow RT : Since it's much harder to publish negative results, I'm wary of predicting clinical trial outcomes by text mining published lit 3 years 7 months ago Reply Retweet Favorite
Isto Huvila @ihuvila Follow RT : Modi operandi for Text Mining: Enhancing IR AND building new knowledge structures, Markus Bundschus says https://t.co/tUIrf4WfC7 3 years 7 months ago Reply Retweet Favorite
Isto Huvila @ihuvila Follow RT : Oh’s first study time-consuming, hard to reach multiple coder agreement; second study took deductive approach w/existing model. 3 years 7 months ago Reply Retweet Favorite
Isto Huvila @ihuvila Follow RT : Oh’s second study of Qs took less time, easier 2reach agreement, but neglected topics not originally included in model framework. 3 years 7 months ago Reply Retweet Favorite
Isto Huvila @ihuvila Follow RT : .: If no theory exists, or existing theories don’t fully address categories of interest, grounded theory may be for you! 3 years 7 months ago Reply Retweet Favorite
Isto Huvila @ihuvila Follow RT : Michael Seadle: If U R young faculty member & want 2publish more, becoming a good reviewer=a great way to learn more abt process 3 years 7 months ago Reply Retweet Favorite
Isto Huvila @ihuvila Follow : when you analyse data using you begin seeing things But it is not not as funny as it sounds & yet it is! 3 years 7 months ago Reply Retweet Favorite
Isto Huvila @ihuvila Follow : are fragile, durability is an accomplishment 3 years 7 months ago Reply Retweet Favorite
Isto Huvila @ihuvila Follow : astronomers go straight to a discipline specific database to search publications Few other disciplines do that. 3 years 7 months ago Reply Retweet Favorite

Pages

Archaeology and Archaeological Information in the Digital Society shows how the digitization of archaeological information, tools and workflows, and their interplay with both old and new non-digital practices throughout the archaeological information process, affect the outcomes of archaeological work, and in the end, our general understanding of the human past.

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Taking Health Information Behaviour into Account: implications of a neglected element for success- ful implementation of consumer health technologies on older adults (HIBA) is an Academy of Finland funded research project at Åbo Akademi University.

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CApturing Paradata for documenTing data creation and Use for the REsearch of the future (CAPTURE) investigates what information about the creation and use of research data that is paradata) is needed and how to capture enough of that information to make the data reusable in the future. 

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