Posts Tagged ‘cbbplan0mg’

Co-directors of newly launched Harvard Data Science Initiative discuss new era

June 19, 2017

fellowships, grants, space
“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.

Learning and earning: Lifelong learning is becoming an economic imperative | The Economist

April 8, 2017

Lifelong Learning Future for colleges? Microcredentails & Nanodegrees inspired by albums unbundled into iTunes songs

interesting view of where short “workshops” fit relative to the traditional course

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 Computational Biology Today and Tomorrow

March 25, 2017

Education in #CompBio, by @bffo & @joannealisonfox Keeping up in a rapidly changing field. Will implement some @Yale

“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 (

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.

Explore Erudite – BD2K Training Coordinating Center

December 6, 2016


November 20, 2016

Page with information about many bioinformatics cores.

Links related to the ISCB Curriculum Task force

November 19, 2016

Here are some links related to the ISCB Curriculum Task Forces:

My notes from #BioData16 with a collection of links related to education in biomedical data science

November 7, 2016

# The meeting

# The panel

My lecture–20161028-i0bds16/

List of Curricular Topics for Bioinformatics An invitation for crowd-sourced comments to the talk

Panel Slides

Cached copy of above gdocs

Earlier versions of the crowd-source edit:

# Related educational resources (unfortunately, Yale-centric):

The Yale CBB program & its focus on Data Science

CBB752 – Biomedical Data Science: Mining & Modeling

My ’14 list of US Bioinformatics Programs:

Hackathon slides:

Article on online curriculum:

Masters of Data Science

Favorite Tweets

Tagged from meeting

Biological Data Science Meeting

September 10, 2016

Biological Data Science
October 26 – 29, 2016
Abstract Deadline: August 12, 2016


Bonnie Berger, Massachusetts Institute of Technology
Jeff Leek, Johns Hopkins University
Michael Schatz, Cold Spring Harbor Laboratory

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.

Commonly Taught Bioinformatics Topics, Derived from Syllabi of 19 Universities.

September 24, 2015

A Helpful Reference

Introduction to Systems Modeling in Biology MCDB 261 S15

September 19, 2015