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’re looking for people who can lead their own research but will want to work collaboratively with other people around the University. In fact, we’ve asked them to identify faculty they’d be excited to work with. In addition to passsion for computer science and statistics, we are are looking for talented individuals who want to advance knowledge in astronomy, psychology, business, health, and are excited to work with us to builld data science at Harvard. We have a committee that will be making decisions about this very soon.
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/
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/
Biological Data Science
October 26 – 29, 2016
Abstract Deadline: August 12, 2016
Organizers:
Bonnie Berger, Massachusetts Institute of Technology
Jeff Leek, Johns Hopkins University
Michael Schatz, Cold Spring Harbor Laboratory
https://meetings.cshl.edu/meetings.aspx?meet=DATA&year=16
The meeting this year has an
“education forum”. A few speakers will be giving short
presentations on the curriculum and resources of various
institutions, followed by a panel Q&A discussion about best practices and needs in the field.
BD2K funded programs so far…
https://datascience.nih.gov/bd2k/funded-programs/enhancing-training/institutional-grants
NIGMS Comp Bio & Bioinfo funded predoctoral programs
http://www.nigms.nih.gov/Training/InstPredoc/Pages/PredocInst-Bioinformatics.aspx
THE NLM funded Biomedical Informatics training programs
https://www.nlm.nih.gov/ep/GrantTrainInstitute.html#5