Biological Data Science
November 13 - 16, 2024
Abstract Deadline (consideration for a talk): August 23, 2024

Abstracts for poster presentations will be accepted until October 1, 2024

Organizers:


Elinor Karlsson, UMass Chan Medical School 
Michael Schatz, Johns Hopkins University
Catalina Vallejos Meneses, University of Edinburgh, UK

We are pleased to announce the sixth meeting on Biological Data Science, which will begin on Wednesday, November 13 at 7:30 p.m. and conclude with lunch on Saturday, November 16, 2024.


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


Keynote Speakers:
tba

Confirmed Discussion Leaders: 
tba

Abstracts should contain only new and unpublished material and must be submitted electronically by the abstract deadline.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 Kelley McGrath.

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 Kelley McGrath 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 2024.

Partial support for this meeting provided by:

Social Media: The designated hashtag for this meeting is #cshldata24. Note that you must obtain permission from an individual presenter before live-tweeting or discussing his/her talk, poster, or research results on social media. Click the Policies tab above to see our full Confidentiality & Reporting Policy.

This meeting is sponsored by:

 

Pricing:

In-Person Fees
Academic/Media Private Room/Private Bath Package: $1415 (Subject to availability.)
Academic/Media Private Room/Shared Bath Package: $1330
Academic Shared Room Package: $1220
Academic/Media No-Housing Package: $930
Student Package*: $1125
Student No-Housing Package: $835
Corporate Private Room/Private Bath Package: $1825
Corporate No-Housing Package: $1340

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

NOTE: We cannot guarantee housing will be on campus

Room package reservations close 2 weeks before the meeting start date

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 Kelley McGrath.

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. Individuals from low & middle income countries; 
2. Individuals from non-LMIC countries in Asia, Australasia, Africa or South America; 
3. Individuals from US & Canadian minority serving institutions; 
4. Individuals with a demonstrable financial barrier; 
5. Individuals with family obligations or other special circumstances. 
For categories 4 & 5 above, please provide a justification via email to Kelley McGrath


Virtual Fees:
Academic Virtual Package: $295
Grad Student Virtual Package: $175

Corporate Virtual Package: $435


Late Fee (Registrations submitted after 5:00 p.m. ET on November 8, 2024)
Late Academic Virtual Package: $395
Late Student Virtual Package: $275
Late Corporate Virtual Package: $535