Biological Data Science
November 9 - 12, 2022
Abstract Deadline (consideration for a talk): August 26, 2022

Abstracts for poster presentations will be accepted until October 1, 2022

Organizers:

Barbara Engelhardt, Princeton University
Michael Schatz, Johns Hopkins University
Catalina Vallejos Meneses, University of Edinburgh, UK

We are pleased to announce the fifth meeting on Biological Data Science, which will begin on Wednesday, November 9 at 7:30 p.m. and conclude with lunch on Saturday, November 12, 2022. The scope of this meeting will be the infrastructure, software, and algorithms needed to analyze large data sets in biological research. We welcome abstracts from researchers in both academia and industry who work on technical aspects of the discussion topics in all areas of biology, from genomics to imaging. We also welcome abstracts from translational and clinical researchers who regularly mine large data sets as part of their projects. The goal is to assemble a multidisciplinary audience that will discuss best practices, identify challenges, and highlight successes in the analysis of large biological data sets.

Discussion Themes:
  • Single Cell
  • Personalized Medicine and Biomarkers
  • Imaging
  • Machine Learning
  • Algorithmics
  • Tools, Infrastructure, and Visualization

Panel Discussion on ....
Moderated by xxx

Confirmed Discussion Leaders: to be announced

Abstracts should contain only new and unpublished material and must be submitted electronically by the abstract deadline. Selection of material for oral and poster presentations will be made by the organizers and individual session chairs. The status of abstracts (i.e., talk or poster) will be posted as soon as decisions have been made by the organizers. Please bring this announcement to the attention of any of your colleagues who may be interested in participating in the meeting.

All questions pertaining to registration, fees, housing, meals, transportation, visas, abstract submission or any other matters should be directed to Samantha Mastronardi.

Cold Spring Harbor Laboratory is eager to have as many young people as possible attend this meeting. As such, we have some funds set aside to partially support students and postdocs. Please register and apply in writing to Samantha Mastronardi stating your eligibility and need for financial support. Preference will be given to those submitting abstracts.

We look forward to seeing you at Cold Spring Harbor Laboratory in November 2022.

Partial support for this meeting provided by:

Pricing:

In-Person Fees
Academic/Media Private Room/Private Bath Package: $1,310 (Subject to availability.)
Academic/Media Private Room/Shared Bath Package: $1,235
Academic Shared Room Package: $1,130
Academic/Media No-Housing Package: $860
Student Package*: $1,045
Student No-Housing Package: $775
Corporate Private Room/Private Bath Package: $1,625
Corporate No-Housing Package: $1,250

*Student Housing is default double occupancy. Please enquire about availability and fees to upgrade to private room.

Rules for Virtual Participation: Virtual participation will include access to the oral sessions via Zoom, access to the digital poster sessions and access to the Slack discussion channel, and the Leading Strand video archive.

Presenters: Individuals submitting abstracts and facing financial barriers should firstly request financial aid (see above). Permission to present your talk or poster virtually will be given only in exceptional circumstances and on a case-by-case basis. If you think you are eligible for an exemption from the requirement to present in person, please provide a justification in writing via email to Samantha Mastronardi.

Non-presenting participants: We plan to broaden access to the conference by allowing certain categories of non-presenting participants to attend virtually at reduced fees. Categories include: 
1. Additional members of individual laboratories (4th or more lab member) - PI must supply list of lab members via email to Samantha Mastronardi
2. Individuals from low & middle income countries; 
3. Individuals from non-LMIC countries in Asia, Australasia, Africa or South America; 
4. Individuals from US & Canadian minority serving institutions; 
5. Individuals with a demonstrable financial barrier; 
6. Individuals with family obligations or other special circumstances. 
For categories 5 & 6 above, please provide a justification via email to Samantha Mastronardi

Virtual Fees
Academic Virtual Package: $255
Student Virtual Package: $150
Corporate Virtual Package: $375