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October 11, 2017

  

Wednesday, October 11, 2017

SOURCE Canned Food Drive: Mon, Oct 2 - Fri, Oct 13 (Multi-Day Event)
All Day

Bloomberg School of Public Health

Help local populations experiencing food insecurity by donating unopened and unexpired canned food items! Donation bin locations: JHSPH - E1002, SOURCE Office (W1600) and the first floor student lounge; SON - lobby entrance; SOM AMEB - lobby (by stairs).
Biostatistics Help: Faculty, Staff, Pre and Post Doc Walk-In Clinic
11:00 AM - 12:00 PM

Biostatistics consulting is available to all Johns Hopkins University faculty, staff, pre and post docs conducting clinical and translational research. 11:00 AM – 12:00 PM Wolfe Street Building Room: E3142 Contact Information: Nita James | jhbc@jhu.edu
Event Image  CTL Teaching Toolkit
11:00 AM - 12:00 PM

Bloomberg School of Public Health

CTL's Instructional Design Team invites you to join us for the next Teaching Toolkit Workshop: Promoting Learning Through Purposeful Imagery. In this workshop our medical illustrator will join us in leading a discussion on the power, purpose, and clarity of images in lectures and other classroom artifacts. Take-aways include the pedagogical rationale and implications for incorporating images in your course materials; design considerations, including being mindful of the accessibility principles of Universal Design for Instruction (UDI); and pointers on finding image sources whose permissions include appropriate exceptions to copyright protection.

 

We encourage onsite attendance, but the workshop will also be streamed via Adobe Connect at http://connect.johnshopkins.edu/ctl-toolkit-workshop. Recordings will be posted to our Toolkit Events page at a later date. No registration is needed, but mark your calendars now! If you have any questions, please contact JHSPH_Toolkit@jhu.edu or your Instructional Designer.

 

Rethinking the Public Health Response to the Indirect Effects of War
12:00 PM - 1:20 PM

Bloomberg School of Public Health

There is a fundamental need to understand and confront the epidemiology of the indirect effects of war, those effects due not to direct battlefield injuries but rather the destruction of the necessities of life, including water, food, shelter, and health services.  Despite the substantial technical capability to mitigate these indirect effects, public health strategies have increasingly been hampered by dynamic political and security obstacles.  Of special concern is the growing risk to health personnel and facilities operating in conflict settings.  Together, these concerns demand a reconsideration of public health strategies to assess, prevent and mitigate the indirect effects of war.

Speakers:
Paul H. Wise, Professor, Pediatrics - Neonatal and Development Medicine, Stanford University
Paul Spiegel, Director, Center for Humanitarian Health, JHU

Wednesday, October 11, 2017
Sheldon Hall, W1214 
Wolfe Street Building

Live webcast: https://goo.gl/9UmHnE 
RSVP In-person Tickets: https://goo.gl/QsCBNb
Faculty Candidate Series - Sr. Faculty Adolescent Health
12:15 PM - 1:20 PM

Bloomberg School of Public Health

Beyond the Beltway:  Integrating Demographic and Intervention Research
to Understand Long Term Trends in Adolescent Fertility


John Santelli, MD, MPH
Professor of Population and Family Health and Pediatrics
Mailman School of Public Health
Columbia University

Contact Information
Deenah Darom
410-955-3385
ddarom@jhu.edu

Fei Lu “Data assimilation with stochastic model reduction.”
3:00 PM - 4:00 PM

Homewood

Speaker: Fei Lu, Johns Hopkins University Abstract: In weather and climate prediction, data assimilation combines data with dynamical models to make prediction, using ensemble of solutions to represent the uncertainty. Due to limited computational resources, reduced models are needed and coarse-grid models are often used, and the effects of the subgrid scales are left to be taken into account. A major challenge is to account for the memory effects due to coarse graining while capturing the key statistical-dynamical properties. We propose to use nonlinear autoregression moving average (NARMA) type models to account for the memory effects, and demonstrate by examples that the resulting NARMA type stochastic reduced models can capture the key statistical and dynamical properties and therefore can improve the performance of ensemble prediction in data assimilation. The examples include the Lorenz 96 system (which is a simplified model of the atmosphere) and the Kuramoto-Sivashinsky equation of spatiotemporally chaotic dynamics.

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