http://researchdata.yale.edu/training-calendarthe Research Data Support website has published a unified calendar for data and research skills training provided by the Library, Center for Research Computing, Medical Library, and Center for Teaching and Learning.
New job post @YaleMed http://APPLY.interfolio.com/43598 Exec. Director for the Center for Biomedical #DataScience, an “ambassador” for this new field!
The Research Data Consultation Group (http://researchdata.yale.edu/) has considered aggregating data science training information into a unified calendar.
Also, there’s an instruction calendar at the library
(http://csssi.yale.edu/instruction/workshop-and-instruction-calendar)
fellowships, grants, space
QT:{{”
“DOMINICI: Because of the new advances in technology, almost every field right now has data, and more data than ever. Clearly, there’s the explosion of genetics and genomics data in the life sciences, in molecular data, as well as astronomy and economics. Even in the humanities, you can scan documents and turn it into data that you can analyze.
…
PARKES: To add some numbers to this, IBM has estimated that we’re generating more than one quintillion bytes of data a day. (A quintillion is a 10 to the 18th.)
…
DOMINICI: One of the reasons we are so excited that Harvard is launching the Data Science Initiative is because of all the advances our faculty have made in recent years. We can now describe the entire genome, define the exposome (the environmental analogue to the genome), characterize social interactions and mood via cellphone data, and can digitize historical data relevant for the humanities. ….
DOMINICI: We have launched the Harvard Data Science Postdoctoral Fellowship, which is among the largest programs of its kind, and we want to recruit talented individuals in a highly interdisciplinary ways.
…
We have also launched a competitive research fund that will catalyze small research projects around the University. Through our friends in the Faculty of Arts and Sciences and the Medical School, we’ve identified some spaces in the near term where people can get together. …
PARKES: We are launching the initiative because we want to get to a point where we have a Harvard Data Science Institute. The aspiration is that the Data Science Institute will have some physical space associated with it,
…
Then the third one I wanted to mention is privacy.
“}}
http://news.harvard.edu/gazette/story/2017/03/co-directors-of-newly-launched-harvard-data-science-initiative-discuss-new-era/
Lifelong Learning
http://www.Economist.com/news/special-report/21714169-technological-change-demands-stronger-and-more-continuous-connections-between-education Future for colleges? Microcredentails & Nanodegrees inspired by albums unbundled into iTunes songs
interesting view of where short “workshops” fit relative to the traditional course
QT:{{”
Scott DeRue, the dean of the Ross School of Business at the University of Michigan, says the unbundling of educational content into smaller components reminds him of another industry: music. Songs used to be bundled into albums before being disaggregated by iTunes and streaming services such as Spotify. In Mr DeRue’s analogy, the degree is the album, the course content that is freely available on MOOCs is the free streaming radio service, and a “microcredential” like the nanodegree or the specialisation is paid-for iTunes.
How should universities respond to that kind of disruption? For his answer, Mr DeRue again draws on the lessons of the music industry. Faced with the disruption caused by the internet, it turned to live concerts, which provided a premium experience that cannot be replicated online. The on-campus degree also needs to mark itself out as a premium experience, he says.
“}}
Education in #CompBio, by @bffo & @joannealisonfox
http://journals.PLOS.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003391 Keeping up in a rapidly changing field. Will implement some @Yale
QT:{{”
“These initiatives help to extend computational biology beyond the domain of specialized laboratories. Researchers, at all levels, need to keep themselves up-to-date with the quickly changing world of computational biology, and trainees need programs where bioinformatics skills are embedded so they can have comprehensive training. New bioinformatics workflows can be adopted more widely if education efforts keep pace. As previously pointed out , starting early is also very important. There is still room for programs that capture the excitement and enthusiasm of secondary school students and convey the potential of computational biology to the public. We welcome additions to the PLOS Computational Biology “Bioinformatics: Starting Early” collection (www.ploscollections.org/cbstartingearly).
We would like to involve the community in this endeavor. With this editorial, we are calling out to educators and researchers who have experience in teaching, specifically, those keen to raise the expectations and the inquisitiveness of the next generation of biologists. The Education collection will continue to publish leading edge education materials in the form of tutorials that can be used in a “classroom” setting (whatever that may mean nowadays: stated more generically, “the places where people learn”). We will continue to encourage articles set in the context of addressing a particular biological question and, as mentioned above, we welcome new “primers” and “quick guides.” We will also be inviting tutorials from the various computational meetings. A new category of papers that is in the pipeline for the Education collection is the “Quick Tips” format, the first of which was just published . The “Quick Tips” articles address specific tools or databases that are in wide use in the community.
“}}
Page with information about many bioinformatics cores.
Here are some links related to the ISCB Curriculum Task Forces:
https://www.iscb.org/curriculum-guidelines-colleges-universities
# The meeting
https://meetings.cshl.edu/meetings.aspx?meet=DATA&year=16
# The panel
My lecture
http://lectures.gersteinlab.org/summary/Education-in-Bio-DataScience–20161028-i0bds16/
List of Curricular Topics for Bioinformatics http://goo.gl/303KXr An invitation for crowd-sourced comments to the talk
Panel Slides
https://docs.google.com/presentation/d/1mhcXpr_BhxvCx4Ki4jR4hLRNzm524JMW76H8zL31Yt4/edit?usp=sharing
Cached copy of above gdocs
http://archive.gersteinlab.org/public-docs/2016/11.01/cached-copy-of-biodata16-i0bds16-gdocs/
Earlier versions of the crowd-source edit:
http://cbb752b16.gersteinlab.org/assignments/homework0
Also:
http://blog.gerstein.info/2015/11/list-of-study-topics-prerequisites-for.html
# Related educational resources (unfortunately, Yale-centric):
The Yale CBB program & its focus on Data Science
http://cbb.yale.edu
http://cbb.yale.edu/graduate-program/optional-focus-biomedical-data-science
CBB752 – Biomedical Data Science: Mining & Modeling
http://www.gersteinlab.org/courses/452/
My ’14 list of US Bioinformatics Programs:
http://blog.gerstein.info/2015/05/updated-again-listing-of-us-programs-in.html https://twitter.com/markgerstein/status/600763647095341056
Hackathon slides:
https://docs.google.com/presentation/d/123NLmlYAUrJf2M709kPyDJl3N5wIcOO8W-EGJVxZKN4/edit?usp=sharing
Article on online curriculum:
http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003662
Masters of Data Science
http://www.slideshare.net/ttimbers/ubc-mds-education-slides
Favorite Tweets
https://storify.com/markgerstein/favorite-tweets-from-biological-data-science-16-bi
Tagged from meeting
https://linkstream2.gerstein.info/tag/i0bds16/
