Leading Professional Society for Computational Biology and Bioinformatics
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    dedicated to facilitating development for students and young researchers

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    The ISCB Affiliates program is designed to forge links between ISCB and regional non-profit membership groups, centers, institutes and networks that involve researchers from various institutions and/or organizations within a defined geographic region involved in the advancement of bioinformatics. Such groups have regular meetings either in person or online, and an organizing body in the form of a board of directors or steering committee. If you are interested in affiliating your regional membership group, center, institute or network with ISCB, please review these guidelines (.pdf) and submit your application using the online ISCB Affiliated Group Application form. Your exploratory questions to ISCB about the appropriateness of a potential future affiliation are also welcome by Diane E. Kovats, ISCB Executive Director (This email address is being protected from spambots. You need JavaScript enabled to view it.).

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    topically-focused collaborative communities
     

     

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KEY DATES



Please check back soon for updates.


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ABOUT GEORGE MASON UNIVERSITY



Please check back soon for updates.


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CODE OF CONDUCT



ISCB Conferences

The International Society for Computational Biology, Inc. (ISCB) assumes that most people are intelligent and well-intended, and we're not inclined to tell people what to do. However, we want every ISCB conference to be a safe and productive environment for everyone. Attendees should respect common sense rules for public behavior, personal interaction, common courtesy, and respect for private property.

ISCB doesn’t condone harassment or offensive behavior, at our conference venues or anywhere. It's counter to our organization values. More importantly, it's counter to our values as human beings.

Abusive, racist, sexist, harassing, or threatening behavior towards any other participant or directed at any organizer, student volunteer, ISCB staff, convention center staff, or security will not be tolerated.

We invite you to help us make each ISCB conference a place that is welcoming and respectful to all participants, regardless of race, gender, age, sexual orientation, disability, physical appearance, national origin, ethnicity, or religion. This allows everyone the opportunity to focus on the conference itself, and the great networking and community richness that happens when we get together in person. Please report any incidents in which an attendee of the meeting is abusive, insulting, intimidating, bothersome, or acting in an unsafe or illegal manner to ISCB staff or security immediately.

We expect all participants to follow the Code of Conduct during the conference. This includes conference-related social events at off-site locations, and in related online communities and social media. Participants asked to stop any harassing behavior are expected to comply immediately. Conference participants violating this Code of Conduct may be expelled from the conference without a refund.

Please bring any concerns to the immediate attention of the event staff, or contact our Executive Director, Diane Kovats, at This email address is being protected from spambots. You need JavaScript enabled to view it.. We thank our participants for your help in keeping the event welcoming, respectful, and friendly to all participants.


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COMMITTEE



  • Keith Crandall, George Washington University
  • Riya Dabbi, Thomas Jefferson High School for Science and Technology
  • Bel Hanson, ISCB
  • Adam Lee, University of Maryland
  • Diane Kovats, ISCB
  • Lauren Quattrochi, MITRE
  • Kamaljeet Sanghera, George Mason University
  • Iosif Vaisman, George Mason University

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SPONSORSHIP OPPORTUNITIES



The International Society for Computational Biology (ISCB) in partnership with George Mason University, is hosting the second annual the Youth Bioinformatics Symposium (YBS), Exploring Computational Biology Winter 2019.

In 2016 nearly 100 students from the greater Washington DC area gathered for this event. This engaging one-day event introduces students to the amazing world of computational biology, allowing them to engage with and learn about popular tools used in research in our hands-on workshop, as well as inform them of the many career areas in whcih bioinformatics is now appearing. ISCB is seeking sponsorship for the 2019 YBS at any contributable amount.  Supporters of the conference will be recognized during the event as well as in post event articles.

RECOMMENDED SPONSORSHIP LEVEL AND BENEFITS

GOLD - $3000
  • Logo prominently displayed on symposium website under highest level sponsorship
  • Logo on signage at event
  • Logo on event re-cap article in ISCB Newsletter
  • Recognition in ISCB annual report for support of the event with logo
  • Opportunity to present science award prize
  • Organization recognized as travel fellowship donor
SILVER - $2000
  • Logo displayed on symposium website under silver level sponsorship
  • Logo on signage at event
  • Logo on event re-cap article in ISCB Newsletter
  • Recognition in ISCB annual report for support of the event
  • Opportunity to present science award prize
BRONZE - $1000
  • Logo displayed on symposium website under bronze level sponsorship
  • Logo on signage at event
  • Logo on event re-cap article in ISCB newsletter
  • Recognition in ISCB annual report for support of the event
ANY AMOUNT UP TO $999
  • Organization listed on conference website
  • Organization listed on signage at event
  • Recognition in ISCB annual report

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SCIENCE FAIR



The purpose of the mini science fair is to allow middle and high school students to think creatively, conduct background research, and develop a proposal for a unique solution that can help address important problems that face the public health and medical fields. Through this process, students will be able to think like scientists, apply technologies to pressing global health issues, and learn how to make existing technologies even better.

Registration will reopen when a new date in the fall is determined.


Theme of the Mini Science Fair:
The theme for this year’s youth symposium is Precision Health. This area is broad to allow students room to explore their own interests and see how computational and engineering methods can be applied to global health issues.

Examples of areas in Precision Health include:


Before the Symposium:
Students will be able to form teams to help brainstorm and think of ideas. A few weeks before the symposium, the team will submit a brief abstract of their proposal. The abstract submission will take place on the symposium website.

The Symposium organizer will have research scientists available to help guide the teams.

During the Symposium:
At the symposium, there will be a time when teams will give poster presentations to various visitors at the symposium (family and friends) and will also present their idea to judges. The judges will score and determine the top projects, who will receive an award at the closing ceremonies.

Presentation Details:
At the science fair, individuals or teams can present their project in a variety of ways. The different options include a trifold poster board, powerpoint presentation on a laptop, or even printed out images and notes as a supplement. Presenters are not required to have a trifold poster board, and can instead determine what presentation method is best for them. The symposium organizers will provide a table for each project at the science fair.

Judging Criteria:

--> Click here for a PDF of this rubric.

RUBRIC FOR JUDGING PROJECTS IN YOUTH SCIENCE FAIR
CRITERIA Excellent (4-5 pts) Competent (2-3 pts) Needs work (0-1 pts)
Scientific question is identified Question is explicitly stated. Hypothesis to address the question or technical solution is explicit. Question and/or hypothesis is implicit Unclear what is the scientific questions and no statement of hypothesis
Significance of problem explained Explains the problem being addressed, including the prevelance or cost to society or the environment. Discussion of other solutions, including deficiency of those solutions Briefly mentions the problem, with some discussion of impact to society. Mention of other solutions No mention of prior attempts to solve the problem; no understanding of significance of the problem
Methods used by students to understand problem and frame the question Student explains how they did their research, e.g. reading the literature, online databases, other onlines sources; discussions with scientists. References included on presentation
Research methods are implicit or references are not included on presentation Research methods are unclear and no references are provided
Methods to perform proposed research, test hypothesis, or create new technology States whether designing computer algorithm, proposing clinical trials, or biological experiments. Includes appropriate control experiments or control computer simulations; OR, Has good plan of technology development and alternatives.
Proposed methods are not stated explicitly. Understands about need for control experiments or simulations but not included in plan; OR, technology plan has no contingencies. No understanding about control experiments or simulations. Experiments or technology development are poorly designed
Presentation Uses good visual aids. Shows deep understanding of the problem domain. Provides good summary of all the information instead of focusing on details.
Some visual aids, but overall too much text. Spends too much time on details instead of focussing on big picture. No or inappropriate visual aids. Reads from written report. Unable to answer questions about project.
Student/Team:   Judge:  

 


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PANEL



Our live panel discussion will talk about the paths of our panel members, students and professionals, in Bioinformatics and Computational Biology. Prepare to hear offered opinions and responses to questions about university and career choices.

--> Submit your own question here. <--


MODERATOR
   
Lauren Quattrochi

Lauren Quattrochi, , MA, MA, PhD
NIH Senior Neuroscience Informaticist

Clinical Quality Informatics

Dr. Lauren Quattrochi is a Senior Neuroscience Informaticist at MITRE, who seeks to empower the scientific community through accelerating biomedical research funding opportunities. Dr. Quattrochi has a diverse background ranging from experiences in the pharmaceutical industry, non-profits and government-funded entities - which she integrates to identify systemic research gaps and challenges. She obtained her doctorate from Brown University, where she discovered a novel type of ganglion photoreceptor - the M6 cell. Prior to MITRE, Dr. Quattrochi directed a national initiative to align the interests of the public with the medical community in clinical trial publication bias and design, as well as facilitating evidence-based advancements at Sense About Science USA.

PANELISTS
   
Keylie Gibson

Keylie Gibson
Ph.D. Student

George Washington University

I attended the University of Central Oklahoma for my undergraduate degree where I earned a B.S. in Forensic Science – Molecular Biology and a B.S. in Biology with a minor in chemistry. I am currently a first year in the Ph.D. program in Biological Sciences at George Washington University and am advised in the Computation Biology Institute. I am broadly interested in population genetics, bioinformatics, and molecular biology and evolution related to infectious diseases, forensic science, and Monarch butterflies. I am also interested in biological anthropology and applying computational biology approaches to the social sciences. Outside of science, I enjoy baking and being outdoors, and I am an avid movie goer.

Keith Hughitt

V. Keith Hughitt
Post-doctoral Fellow
Laboratory of Cancer Biology and Genetics (LCBG), NIH/NCI

Dr. Keith Hughitt is a Cancer Research Training Award (CRTA) research fellow working in the lab of Dr. Bevery Mock at NIH/NCI.  His current research efforts are focused on the development of novel approaches for the integrative analysis of large-scale drug screen and molecular profiling datasets, in order to detect biomarkers related to patient response to drug treatment. Other interests include open and reproducible research methods and efficient software engineering approaches for the sciences. Prior to graduate studies at UMD, Keith spent close to five years working on visualization and data analysis problems in the solar physics division at NASA Goddard Space Flight Center in Greenbelt, MD.

Eldred A. Ribeiro

Eldred A. Ribeiro, Ph. D
Healthcare Systems, Principal

MITRE

Dr. Eldred Ribeiro is interested in solving complex problems in Healthcare and Clinical Research by leveraging interdisciplinary scientific knowledge and information technology. Prior to joining MITRE, he served as the data manager on the Biomedical Translational Research Information System (BTRIS), utilized by the National Institutes of Health to aggregate patient information used in Clinical Trials.


While serving for nearly a decade as an R&D scientist at Bio-Rad Laboratories (California), Eldred was instrumental in the design of many recognition and signal processing algorithms, biotechnology applications and instruments for use in Genomics and Proteomics research. His interest in bioinformatics and biotechnology instrumentation was fueled during his post-doctoral work at Brookhaven National Laboratory (New York) where he developed computer analysis for DNA electrophoresis patterns used in sequencing and mapping during the Human Genome Project. During the seminal years of the use of DNA Profiling to establish identity for forensic purposes, Eldred served as an expert scientific witness in the California court system.

Eldred has a Doctorate in Physics from Clemson University, where he developed biophysical techniques for quantifying UV-induced damage to DNA using gel electrophoresis. He is a National Science Talent Scholar, with a Masters in Physics from the Indian Institute of Technology.

Eldred advocates instilling STEM interest in youth by conducting seminars in biomedical topics for high school students and by serving as a judge in science fairs at the regional, state, and international levels.

Dr. Amarda Shehu

Dr. Amarda Shehu
Professor

Department of Computer Science
George Mason University
Fairfax, VA

Dr. Amarda Shehu is an Associate Professor in the Department of Computer Science at George Mason University. She holds affiliated appointments in the School of Systems Biology and the Department of Bioengineering at George Mason University. She received her B.S. in Computer Science and Mathematics from Clarkson University in Potsdam, NY in 2002 and her Ph.D. in Computer Science from Rice University in Houston, TX in 2008, where she was an NIH fellow of the Nanobiology Training Program of the Gulf Coast Consortia. Shehu's research contributions are in computational structural biology, biophysics, and bioinformatics with a focus on issues concerning the relationship between sequence, structure, dynamics, and function in biological molecules. Her research on probabilistic search and optimization algorithms for protein structure modeling is supported by various NSF programs, including Intelligent Information Systems, Computing Core Foundations, and Software Infrastructure. Shehu is also the recipient of an NSF CAREER award and two Jeffress Memorial Trust Awards.

Nick Weber

Nick Weber
Lead, Translational Bioinformatics Program

NIAID OCICB Bioinformatics and Computational Biosciences Branch (BCBB)
Rockville, MD

Since 2009, Nick Weber has served as an intern, analyst, project manager, product owner, and program lead at the National Institutes of Health. He has a passion for leading “learning teams” that strive to deliver novel, useful, and sustainable applications and databases for the global scientific research community. Nick applies his interdisciplinary education in science, technology, and management to innovative projects that include Nephele, a platform for enabling scalable and standardized microbiome data analysis using the Amazon cloud, and the NIH 3D Print Exchange, a toolkit and repository for creating and sharing 3D-printable models for biomedicine.

   

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