The Department of Environmental and Occupational Health Sciences at the University of Washington School of Public Health seeks an outstanding Post-Doctoral Research Fellow to examine the connections between heat exposure, climate, conservation interventions, and health.  The successful candidate will receive an academic appointment as a Senior Fellow. Senior Fellows at the University of Washington (UW) are considered junior faculty equivalent in rank to a Research Associate. The position is intended to extend professional training for a candidate who recently received a terminal Ph.D. degree or foreign equivalent. Opportunities for continued training are available.

The Cancer Epidemiology Program at Fred Hutchinson Cancer Research Center is offering a post-doctoral fellowship opportunity in geospatial analysis under the supervision of Dr. Margaret Madeleine, Associate Member in the Cancer
Epidemiology Program. The fellowship will focus on geospatial analyses of HPV vaccine data. The successful applicant will have the opportunity to pursue independent research and publications in addition to the main project for this fellowship, in research areas such as HPV-attributable cancer epidemiology, HPV vaccine immunoepidemiology, and immunogenetics of HPV-related cancers. Opportunities to conduct geospatial research with other faculty members at the Fred Hutch in related areas, such as colorectal cancer screening or environmental exposure assessment may also be available.

Organized by the IUSSP Scientific Panel on Family Demography and Family Law and the Institut national de la recherche scientifique (INRS).

Deadline for submission of abstracts extended to 15 September 2019.

• Read the full announcement here. 

The purpose of the IUSSP Scientific Panel on Family Demography and Family Law is to foster the study of the connection between changes in family law and changes in family structure and family dynamics while assuming as little as possible about the specifics of the connection.

Topics of interest for the seminar include, but are not limited to the following:

• Do legal restrictions that forbid divorce, impose delays or any other such constraints on divorce have an impact on the spread of unmarried cohabitation?
• Do the rules regarding marital property or maintenance duties towards ex-spouses have an impact on the choice of unmarried cohabitation over marriage?
• Did the abolition of illegitimacy for the purposes of maintenance duties and inheritance make it easier to have children without being married and is thus linked to the rise of unmarried cohabitation?
• Does the legal connection between state provided support (e.g., social assistance payments or health care services) and maintenance duties between spouses or partners have an impact on out-of-union births?
• Do the rules defining the role and duties of ‘stepparents’ towards stepchildren following separation have an impact on the formation of step-families?
• Are the legal regulations prescribing the number of ‘parents’ that a child can have linked to an increase in births following the use of reproductive technologies?
• Can the lack of legal recognition of surrogacy lead to children being given up for adoption in case of disagreement between intended parents and the surrogate mother?
• Did the introduction of same-sex marriage or same-sex registered partnerships have an impact on the processes of union formation and dissolution among same-sex couples?
• What was the impact of the introduction of adoption by same-sex couples or by single people on family formation?

The organisers will also welcome papers that address international comparisons as well as those that use innovative methodological approaches applied to relevant topics.

Online Submissions:
The IUSSP Panel on Family Demography and Family Law invites researchers in the field to submit online, by 15 September 2019, a short 200-word abstract AND upload an extended abstract (2 to 4 pages, including tables) or a full paper, which must be unpublished. To submit and fill out the online submission form, please click here: online submission form.

The seminar will be limited to a maximum of 20 completed papers. The working language of the seminar is English: abstracts and final papers should be submitted and presented in English. If the paper is co-authored, please indicate the names of co-authors at the end of the abstract. Submission should be made by the author who will attend the seminar.

Applicants will be notified whether their paper has been accepted by 30 September 2019. Authors of accepted papers must upload the full paper on the IUSSP website by 15 March 2020.

Papers submitted should be unpublished and, as for a journal or an edited book, authors, by submitting a paper, agree they will not propose it for publication to another editor until the committee makes a decision with regard to their possible publication.

Current funding for the seminar is limited; efforts are under way to raise additional funds, but the outcome at this point is uncertain. Seminar organisers cannot ensure that any travel support will be available. Applicants are therefore strongly encouraged to seek their own travel funding. Funding is contingent upon submission of a complete paper of acceptable quality by the deadline for papers.

For further information please contact Seminar Organiser Benoît Laplante (Benoit.Laplante@UCS.INRS.Ca).

IUSSP Scientific Panel on Family Demography and Family Law:
Chair: Benoît Laplante.
Members: Laura Bernardi, Minja Choe, Céline Le Bourdais, Nora Sánchez Gassen, T.V. Sekher, Joice Melo Vieira.
IUSSP Council Liaison: Suzana Cavenaghi.

DeepSpatial 2019

Co-located with 19th IEEE International Conference on Data Mining (ICDM 2019), Beijing, China

www.deepspatial.org

The significant advancements in software and hardware technologies stimulated the prosperities of the domains in spatial computing and deep learning algorithms, respectively. On one hand, advances in scalable and expressive neural network architectures and GPUs have paved the way to the recent breakthroughs in the deep learning field which has exhibited outstanding performance in handling data in space and time in specific domains such as image, audio, and video. On the other hand, the development and popularity of techniques in various domains such as remote sensing, online social media platforms, and bioengineering have enabled and accumulated large scale of spatiotemporal data over the years, which in turn has led to unprecedented opportunities and prerequisites for the discovery of macro- and micro- spatiotemporal phenomena accurately and precisely.

Nevertheless, further developments of spatial/spatiotemporal computing and deep learning call for the synergistic techniques and the collaborations between different communities, as evidenced by the recent momentum in both domains. First, fast-increasing large-scale and complex-structured spatiotemporal data requires the investigation and extension toward more scalable and powerful models than traditional ones in domains such as computational geography and spatial statistics, which has been evidenced by the fast-increasing research work on spatiotemporal data using deep learning techniques in recent few years in the spatial data computing community. On the other hand, recently deep learning techniques are evolving beyond regular grid-based (e.g., images), tree-based (e.g., texts), and sequence-based (e.g., audio) data to more generic or irregular data in space and time (e.g., in transportation, geomorphology, and protein folding), which calls for the expertise in the domains such as spatial statistics, geodesy, geometry, graphics, and geography.

The complementary strengths and challenges between spatiotemporal data computing and deep learning in recent years suggest urgent needs to bring together the experts in these two domains in prestigious venues, which is still missing until now. This workshop will provide a premium platform for both research and industry to exchange ideas on opportunities, challenges, and cutting-edge techniques of deep learning in spatiotemporal data, algorithms, and systems. Full research papers and short position papers will be accepted under the topics include, but not limited to, the following two broad categories:

Novel Deep Learning Techniques for Spatial and Spatio-Temporal Data:

• Convolutional, recurrent, and deep neural network techniques.
• Representation learning and embedding based on deep learning
• Scalable deep learning algorithms for large data.
• Interpretable deep learning for spatial-temporal data.
• Learning representation on heterogeneous networks, knowledge graphs
• Deep generative models, adversarial machine learning
• Deep reinforcement learning
• Theory of deep learning for spatio-temporal data

Novel Deep Learning Applications for Spatial and Spatio-Temporal Data:

• Remote sensing and land cover change detection/classification
• Trajectory/mobility data mining and prediction
• Spatial crowdsourcing
• Location-based social network data analytics, event prediction and forecasting
• Smart cities and ride-sharing (e.g., taxi demand forecasting)
• Other applications of deep learning

Workshop Co-Chairs
Xun Zhou, University of Iowa

Liang Zhao, George Mason University

Feng Chen, SUNY, Albany

Program Committee

• Wei Wang, (Microsoft Research)
  Ray Dos Santos, (Army Corps of Engineers)
  Arnold Boedihardjo, (DigitalGlobe)
  Chao Zhang, (Georgia Tech)
  Yanjie Fu, (MST)
  Xuchao Zhang, (NEC Lab)
  Shahriar Hossain (University of Texas, El Paso)
  Lingfei Wu (IBM Watson)
  Yanfang Ye (Case Western Reserve University)
  Yanhua Li (WPI)
  Petko Bogdanov (UAlbany)
  Yinghui Wu (WSU)
  Zhe Jiang (University of Alabama)

Important Dates:
Paper Submission: August 24, 2019
Notification of Acceptance: September 17, 2019
Camera-ready Papers: October 1, 2019
Workshop Date: November 8, 2019

Submission Instructions:
The workshop will encourage the submissions of both full research papers presents concrete research techniques and experimental results, as well as short position papers that identify and discuss the grand challenges and research opportunities on the topics of interests. All the workshop events will give enough time for attendant discussions. In particular, the workshop will consist of a series of the following events:

• Full research papers presentations: 25 minutes including 15 minutes for author presentation and 10 minutes for attendant discussion about the work.
• Short position papers presentations: 20 minutes including 10 minutes for author presentation and 10 minutes for attendant discussion about the proposed vision.

All manuscripts should be submitted in PDF format and formatted using the IEEE Proceedings templates available at: http://www.ieee.org/conferences_events/conferences/publishing/templates.html.

All the papers should be submitted through our online system here.

One author per accepted workshop contribution is required to register for the conference and workshop, to attend the workshop and to present the accepted submission. Otherwise, the accepted submission will not appear in the published workshop proceedings or in the workshop proceedings.

Contacts:
Feng Chen(SUNY, Albany): fchen5@albany.edu

Xun Zhou (University of Iowa): xun-zhou@uiowa.edu

Liang Zhao (George Mason University): lzhao9@gmu.edu

King County Metro Transit has released a Request for Proposals seeking behavioral science expertise. The primary deliverable for this RFP is development, implementation, and analysis of a set of experimental designs for applying behavioral science to decrease onboard cash payment of transit fares. Consistent with King County’s strong commitment to advancing equity, we seek to reduce onboard cash payment in a manner that maintains or enhances access to transportation for specific populations such as people with low or no income.

A secondary objective of the RFP is for King County to gain experience working with behavioral science, so that we may identify additional areas where this expertise can be applied to help us achieve results.

Please help us spread the word about this RFP by forwarding, posting, or getting it into the right hands at organizations at which you are affiliated. Or, if this opportunity is of interest to you, please submit a proposal! Bidding closes September 19 at 2PM Seattle time. You can view the RFP here:  https://procurement.kingcounty.gov/procurement_ovr/detail.aspx?bidid=4186

(Clicking on “Enter site as Guest” should take you directly to the RFP.)

This is an exciting opportunity for us at King County and, I believe, for a research partner. King County Metro Transit is one of the largest transit agencies in the country, and one of the few that is growing. We were recently named the best large transit system in North America, recognizing our achievements in innovation, equity, and sustainability. Our leadership is eager to build and use evidence to support our decision making.

Join fellow graduate students and postdocs to learn how to develop your elevator speech for job search or career exploration. An elevator speech is a clear, brief message about you. It communicates who you are, what you are looking for and how you can benefit from a company or organization.

The Department of Black Studies at the University of California, Santa Barbara invites applications for a pool of qualified temporary lecturers for the 2019-20 academic year. The number of positions and desired thematic areas vary, depending on the needs of the department each quarter. Salary is based on UC’s salary scales and depends on qualifications. Review of applications will begin August 15, 2019 and will remain open until October 31, 2019.

The Center for Research on College to Workforce Transitions (CCWT) at the University of Wisconsin-Madison (UW-Madison) is seeking a Qualitative Researcher to provide leadership and support for for center projects on college-workforce issues. The Qualitative Researcher will work on the College Internship Study, which is a national mixed-method study examining issues related to participation, access, program quality and student outcomes in the world of college internships. The institutions involved in the study include community colleges, Historically Black Colleges and Universities (HBCUs), Hispanic Servicing Institutions (HSIs) and regional comprehensive universities. As part of this applied research project, the Qualitative Researcher will work closely with institutional partners to ensure that all research activities are addressing immediate problems of practice at the local level.