What's Up at DNDS

Réka Albert’s group at Penn State is collaborating with wet-bench biologists to develop and validate predictive models of various biological systems, from the molecular to the ecological level. Over the years they found that discrete dynamic modeling (e.g. Boolean modeling) is very useful in molding qualitative interaction information into a predictive model. The dynamic attractors of these models can be directly related to the real system’s phenotypes and behaviors.

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We studied the daily potential reach on Twitter (product of the number of tweets and the followers of that tweeter) of the tweets containing the hashtags of #IstandwithCEU, #aCEUvalvagyok and #LexCEU over the past month. During this period of time, 43,362 tweets were published by 15,242 users, who have more than 38 million followers combined, and a total potential reach of over 143 million.