The Institute for Disease Modeling shapes global efforts to eradicate infectious diseases and to achieve permanent improvements in the health of those most in need. By developing, using, and freely sharing computational modeling tools, we advise policymakers, promote quantitative decision-making and advance scientific methodologies. IDM is a highly dynamic organization, composed of research scientists and software professionals, with a work environment that is defined by innovation and collaboration. As part of our work, we routinely collaborate with groups at the World Health Organization, the Center for Disease Control, PATH, the Bill and Melinda Gates Foundation, ministries of health in the developing world, as well as universities and research institutes. IDM is an institute within the Global Good Fund, a collaboration between Intellectual Ventures and Bill and Melinda Gates.

The HIV and TB research programs at IDM provide analytical support to our strategic partners on population-level dynamics questions, including predictions of epidemic trends, impacts of intervention-targeting scenarios, target product profiles for specific use cases, and insights into risk factors and drivers of variability in epidemic patterns across demographic, temporal, and spatial scales.  The HIV and TB Research Manager, reporting to the Director of Global Health Research, will work closely with the other software and research groups at IDM to develop and apply a reusable set of open-source modeling tools to address specific policy questions, while also advancing their use more widely in the community. The individual will assume an essential role in shaping the culture, tactical and strategic goals, and the overall success of IDM’s contributions to global health.

The eScience Institute at the University of Washington is seeking outstanding candidates for the position of Data Scientist. The ideal candidate will have expertise in one or more areas related to data science (machine learning, statistics, databases, large-scale data systems, visualization, and interfaces that facilitate large-scale data understanding), demonstrated experience in software engineering and open-source software, and demonstrated ability to use these skills to solve problems in an applied domain discipline.  Aimed at top-notch candidates, this position offers the opportunity for world-class applied research – in collaboration with some of the best researchers in the world – tackling challenging data science problems in multiple domains.

QUAL Workshops are free, one-day, hands-on tutorials that instruct students in the use of ATLAS.ti.

Workshops are open to all UW graduate students interested in deepening their qualitative multi-method data analysis skills.

The workshop will run with both Windows and Mac, and those attending should come with their own laptops with Atlas.ti installed.

The workshop is limited to 15 people, and registration is required, so please sign up for the Atlas.ti workshop as soon as possible. We will maintain a wait list and let you know.

 

Event sponsors: The Henry M. Jackson School of International Studies/ The Anne H.H. and Kenneth B. Pyle Assistant Professorship/ Center for Korea Studies/ Center for Global Studies/ Comparative Religion Program/ Isaac Alhadeff Professorship in Sephardic Studies/ JSIS Japan Studies Program/Job and Gertrud Tamaki Professorship/ South Asia Center

Additional support at the University of Washington comes from: Department of Communication/ Interdisciplinary Ph.D. Program in Near and Middle Eastern Studies/ School of Law

 

SUMMARY:

Register for PEARC’19 — last day for early bird rates is Sun June 23!

Conference: Sun July 28 – Thu Aug 1 2019, Chicago IL https://www.pearc19.pearc.org/

DETAILS:

PEARC19 – Rise of the Machines (Learning)

PEARC19 will explore the current practice and experience in advanced research computing including modeling, simulation, and data-intensive computing.

A primary focus will be on machine learning and artificial intelligence which are proving to be disruptive technologies in a diverse range of scientific fields from materials science to medicine.

If you are interested in machine learning and many other areas in advanced research computing, this is the conference for you!

Registration

Register by Sun June 23 for the best rates — registration for PEARC19 will increase the next day!

For more details or to register visit: https://www.pearc19.pearc.org/registration

Networking Events

While you are registering, don’t forget to sign up for one of our two special networking events offered on Wednesday, July 31, 2019.

Attendees will have a choice between a baseball game (Chicago White Sox vs NY Mets) or a riverboat cruise (as noted by one TripAdvisor reviewer, “If you only do one thing … this should be it!”).

These special events are a great value and will provide a wonderful opportunity for you to network with your colleagues.

PEARC19 Program

The online program is now available on our website and we will continue to make additions to the program to help with your planning! Stay tuned!

We are very excited to welcome our two Keynote Speakers:

Rick Stevens, from Argonne National Laboratory and the University of Chicago, who will be presenting on “AI for Science”

and

Jim Kurose, from the National Science Foundation, who will be presenting on “NSF/CISE and Advanced Cyberinfrastructure: An Update and Look at, and over, the Horizon.”

Learn more by visiting https://www.pearc19.pearc.org/speakers

We will also welcome plenary speaker Patricia (Trish) A. Damkroger from Intel Corporation, one of our platinum exhibitors, presenting on “Redefining Today’s HPC.”

Reserve your Hotel Room Today!

PEARC19 will be held at the Hyatt Regency Chicago, located in the heart of downtown Chicago and within walking distance of local attractions such as Millennium Park, the Chicago Riverwalk and shopping along the Magnificent Mile.

By staying in the conference hotel, you are helping to keep our conference affordable.

Reserve your room before the room block fills up by visiting https://www.pearc19.pearc.org/hotel

Questions? Contact us at https://www.pearc19.pearc.org/contact-us

The National Institutes of Health (NIH) Office of Behavioral and Social Sciences Research (OBSSR) invites you to attend the NIH OBSSR Methodology Seminar: Text Mining for Behavioral and Social Sciences Research on Friday, August 9, 2019, from 9:00 am to 4:00 pm in Conference Room A1/A2 at the Neuroscience Center (NSC) Building, 6001 Executive Blvd, Rockville, MD 20852.

REGISTRATION
Free registration for this event is requested. The seminar will not be live webcast. In-person attendance is encouraged. A public access video archive will be provided following the event.
View the meeting agenda here: https://bit.ly/2HUVoXS

OBJECTIVES
The age of Big Data has ushered in a wave of high-volume digital information and much of it is text based. Text mining is a form of data mining that involves collecting and analyzing large volumes of textual data to reveal patterns and relationships. Techniques for mining can be used to extract key concepts, spot trends, summarize content from documents and gain semantic understanding, and index and search text for use in predictive analytics. Text mining has become an important research process with many different commercial and academic applications, and it is becoming more widely applied in social science studies.

This one-day methodology seminar sponsored by the NIH OBSSR will present a basic introductory overview of principles and techniques of text mining for behavioral and social research and showcase some innovative health research examples.

Attendees of this seminar will gain a broad understanding and appreciation for some of the different tools available to collect and analyze large volumes of text data, and they will learn about some notable example applications in behavioral and social sciences health research.

SPEAKERS
Brendan O’Connor, Ph.D., Assistant Professor, College of Information and Computer Sciences, University of Massachusetts Amherst

David Broniatowski, Ph.D., FPsyS, Assistant Professor, Department of Engineering Management and Systems Engineering, George Washington University

Quynh Nguyen, Ph.D., MSPH, Assistant Professor, Department of Epidemiology and Biostatistics, University of Maryland School of Public Health

For more information please contact: Elizabeth Ginexi, Ph.D., NIH/OBSSR – Lginexi@mail.nih.gov

VENUE AND ACCOMMODATIONS
Neuroscience Center (NSC) Building
Conference Room A1/A26001
Executive Blvd.,Rockville, MD 20852

Please Note: Visitors will be required to show one (1) form of identification (a government-issued photo ID-driver’s license, passport, green card, etc.) and to state the purpose of their visit.Lunch and refreshments will be on your own. There are many lunch options within easy walking distance of NSC at Pike & Rose.

Individuals with disabilities who need reasonable accommodations to participate in the event should contact 301-594-4392 or OBSSRNews@mail.nih.gov.

PLEASE NOTE THE A&S DEAN’S DEADLINE FOR REVIEW IS 3 DAYS PRIOR TO OR’S DEADLINE:

Thursday, September 26 by 5:00pm

————————————————————————————————–

Members of the UW Research Community:

This is to announce the Autumn 2019 round of the Royalty Research Fund (RRF) grant program. The RRF proposal submission and review process is electronic – all proposals are submitted using SAGE (System to Administer Grants Electronically). Proposals are due Monday, September 30, by 5:00 PM.  Awards will be announced by January 15, 2020.

Unlike agency-funded grants, RRF grants are not awarded to supplement or continue existing successful research programs.  The purpose of the RRF is to advance new directions in research, particularly:

1. in disciplines for which external funding opportunities are minimal, and/or
2. for faculty who are junior in rank, and/or
3. in cases where funding may provide unique opportunities to increase applicants’ competitiveness for subsequent funding.

Proposals must demonstrate a high probability of generating important new creative activities or scholarly understandings, new scholarly materials or resources, significant data or information, or essential instrumentation resources that are likely to significantly advance the reputation of the university, lead to external funding, or lead to developing a new technology. Proposals from all disciplines are welcome, with well-justified budgets up to $40,000.

All proposals will be peer reviewed through one of the three RRF Review Committees. The evaluators are faculty colleagues and therefore will not necessarily be specialists in the applicant’s subfield. Thought should be given, therefore, to crafting the proposal so that a wider audience may understand it. Although technical field-specific information will be expected, the major features of the proposal must also be accessible to non-specialists.

The RRF application instructions, including specific directions for completing the eGC1, are currently available at the Office of Research web site located at:

http://www.washington.edu/research/or/royalty-research-fund-rrf/

As a reminder, Deans, Directors, and Chairs should only approve RRF applications for faculty and professional staff with PI status who are eligible for the program. Faculty with acting, affiliate, temporary, or visiting appointments are not eligible. In addition, if a UW faculty member holds an eligible rank but is based at another institution (e.g. Seattle Children’s or Fred Hutchinson Cancer Research Center), all of his/her extramural grants must be run through the UW in order to be eligible for an RRF award.

Should you elect to apply, please note the following additional details:

1. Carefully read and follow all instructions. Applications that do not adhere to program rules will be returned for immediate correction and resubmission if time permits; otherwise they will not be considered for funding.
2. Find out how much lead time is required by each unit that needs to approve your proposal and monitor it throughout the approval process. (For example, the College of Arts and Sciences Dean’s office requires that proposals reach them via SAGE by 5:00 pm on the Thursday prior to the RRF deadline.) Applications not fully approved by the deadline will not be accepted – NO EXCEPTIONS.
3. On the Details page of the eGC1, make sure that you choose the Research Area that is most appropriate for your specific project. This will not necessarily match your official departmental affiliation, so you should review the membership of the three RRF committees (each of which covers two Research Areas) to confirm that you are making the best choice. Your proposal has a better chance of being successful if it is appropriately aligned with the expertise of the committee.
4. Use the sample budget template on our website as a guide when preparing your proposal budget, making sure that a) you round all figures to whole dollars, b) you group items by object code, and c) you provide a subtotal for each object code.

Don’t hesitate to contact the RRF administrative staff if you have questions about the program; new applicants should contact Peter Wilsnack, doogieh@uw.edu, (685-9316) and existing awardees should contact Barbara Thompson, bthompso@uw.edu, (616-9089). Questions about SAGE and the eGC1 should be directed to oris@uw.edu, (685-8335).

Please forward this information to all interested parties.

Guest Editor

Dr. Sangram Kishor Patel, PhD

Technical Lead & Senior Program Officer Population Council

Second Floor, B-86, Defence Colony New Delhi – 110024 (INDIA)

Tel: +91-11-41743410/11 | Fax: +91-11-24645060

E-Mail: sangramkishor@gmail.com; skpatel@popcouncil.org | Skype: sangramiips

 

In the last few decades (particularly after 1950), the World’s population doubled from three billion to six billion plus population. This increased the pressure on land use and resource depletion continued. Further, it fuelled with habitat destruction, loss of biodiversity, water scarcity and water pollution, air pollution, global warming and climate change across the globe. Impact of these problems are more on developing regions like South Asia. South Asia is a region with great diversities in population growth, socio-economic development and facing serious population and environmental problems. The most threatened areas are grasslands of Sundarbans, coastal areas and mountain forest ecosystems of the Himalayas. Large sections of the population of South Asian region lack basic human needs such as sufficient food and nutrition, clean water, adequate shelter, and access to education and health care. However, the current changing environment and frequent occurrence of extreme weather events posing a serious challenge to socio-economic development, food security, livelihoods and health hazards among the population in the region along with the resilience mechanisms. So, it is necessary to investigate these issues through the lenses of research, which may help in formulating better policies and program at the local and regional level. We herein would like to invite researchers from the international community working in the areas of environment, climate change and population dynamics to contribute to this special issue on “Environment and Population Dynamics in South Asia”. This issue will broadly cover the issues related to population dynamics and its relationship with various environmental issues (but may not limited to) such as climate change and resilience, natural disaster, disaster management, waste management, WASH, urbanization and air pollution, climate change and migration, climate change and health etc.

Researchers interested in submitting a paper for consideration in this special issue of IJPS should submit their paper by September 30, 2019 and highlight the phrase “for special issue” in the cover letter. The page charge can be waived.

Submitted manuscripts should not have been previously published, nor be currently under consideration for publication elsewhere. All papers are refereed through a double-blind, rigorous peer review process.

• All manuscripts must be written in English.
• Before you start to prepare your paper, please read the Author Guidelines.
• All papers must be submitted online. To submit a paper, please go to the Online Submission System.

Thank you for your consideration. We look forward to your submission.

Join our industry-leading Economic Research team bringing innovative analysis, creativity and excellence to the U.S. housing market. We create, productionalize, analyze, and share a full suite of housing data products and analysis for an audience inside and outside of Zillow. Our work contextualizes Zillow’s unparalleled living database of all homes and hundreds of millions of customers to provide insight to everyday consumers and open data to hundreds of researchers and policymakers across the country. You’ll work in an informal, fun, collaborative atmosphere with a dynamic team with a diverse range of interests and skills.

We have an opening for a social networks position at the University of Exeter Business School. For an informal discussion at the Sunbelt conference please email Professor Alexandra Gerbasi (a.gerbasi@exeter.ac.uk) or Professor Andrew Parker (a.parker3@exeter.ac.uk)

Job title: Open Rank positions (Professor to Lecturer) in Social Networks
Job reference: P67540
Application closing date: 30/06/2019
Location: University of Exeter Business School, United Kingdom
Salary: Competitive
Package: Generous holiday allowances, flexible working, pension scheme and relocation package (if applicable).
Job category/type: Academic, education & Research, full time, permanent

To view job details or apply on-line click here.

We seek several ambitious and exceptional colleagues with research interests in Social Networks to join either the Management, Finance & Accounting or Science, Innovation, Technology, and Entrepreneurship (SITE) departments at the University of Exeter Business School. There are several Open Rank (Professor to Lecturer), Permanent, Full-Time positions that will cover Education and Research.

In particular, we welcome applications of social network scholars interested in one or more of the following research areas: leadership, organizational behaviour, marketing, human resource management, data/business analytics, strategy and IB, entrepreneurship and innovation, finance and accounting. Candidates should have a good understanding of network analyses models such as ERGMs, Stochastic Actor-oriented Models, and Relational Event Models.

We look for candidates that have the necessary skills to conduct high-quality research and teach a range of courses in our undergraduate, MBA, and doctoral programs.