The early-career research fellowship supports emerging scientists as they take risks on research ideas not yet tested, pursue unique collaborations, and build a network of colleagues who share their interest in preventing oil spills and in the well-being of coastal communities and ecosystems. These two-year fellowships are awarded to tenure-track faculty (or equivalent) at colleges, universities, and research institutions. Because the pretenure phase of a researcher’s career is a critical time, the unrestricted funds and mentoring this fellowship provides help recipients navigate this period with independence, flexibility, and a built-in support network.

Abstract: Head Start was designed to combat disadvantages in early learning and development faced by children in poverty, and to reduce income-based opportunity and achievement gaps between haves and have-nots. However, the national Head Start Impact Study (HSIS) found that an offer of one year’s attendance in the Head Start program had small impacts on children’s language and literacy. More interestingly, the HSIS reported that an offer of program attendance produced larger impacts among Latino Dual Language Learners (DLL,) but the question remains why these particular children benefitted from the program more than did their English-speaking peers. Additionally, the evaluation did not investigate whether changes in parenting practices mediated these program impacts on children’s learning. In this presentation, I argue that a study of the key mechanisms through which the program impacted child outcomes remains central to understanding why Head Start improved children’s language and literacy. A central aim of my research was to contribute to the body of early childhood research and inform policy directions and program development by: (a) investigating whether Intent-To-Treat (ITT) effects on early child language outcomes were mediated through parent-child language-and-literacy activities, and (b) conducting multi-group comparisons to test whether the impact of these mediational pathways differed by the child’s DLL status. I conclude with findings and important directions for how early childhood programs can improve parental investment in early learning for diverse groups of children, and explanations for why mediated effects differed by language status.

Roderick Theobald uses data from six Washington State teacher education programs to investigate the relationship between teacher candidates’ student teaching experiences and their later teaching effectiveness. His primary finding is that teachers are more effective when the student demographics of their current school are similar to the student demographics of the school in which they did their student teaching. While descriptive, this suggests that the school context in which student teaching occurs has important implications for the later outcomes of teachers and their students, and that teacher education programs and school districts should consider placing student teachers in schools that are similar to the schools in which they are likely to teach once they enter the workforce.

In 2017, INED will recruit 2 new researchers (permanent position). INED’s main mission is to study the national and international demographic situation and to analyse population trends. Multidisciplinary by vocation, its range of expertise covers both the study of purely demographic phenomena, such as nuptiality, fertility, mortality, migration, etc., and demography applied to social life, the economy, public health, human geography, history and more…

INED is offering TWO researcher positions (category 2, CR2) in 2017. The candidate’s specialty shall concern one of the following disciplines or topics (no order of priority):

• Speciality A: Causes of death and long-term mortality trends
• Speciality B: Effects of migration, integration and anti-discrimination policies on mobility and living conditions
• Speciality C: Forced population displacements
• Speciality D: Demography and societies in the southern Mediterranean
• Speciality E: Demography and associated disciplines

The first annual Poverty Tracker Data Training Workshop will be held at Columbia University in New York City on May 18-19, 2017. The workshop is designed to familiarize participants with the data available in the New York City Longitudinal Survey of Well-being, a repeated panel study which is conducted by the Columbia Population Research Center and which tracks the dynamics of poverty, hardship, and well-being among representative samples of New York City residents.

The 2017 workshop will include an introduction to the Poverty Tracker data, hands-on sessions for scholars to work with the data, introduction to sensitive data elements and associated data access policies, and other topics. The workshop is targeted toward early- and mid-career scholars from social science disciplines. Underrepresented scholars are strongly encouraged to apply. Applicants must possess basic quantitative data analysis skills. Approximately 25-30 applicants will be selected. Accepted out-of-town candidates will receive travel support.

Additional information about the Poverty Tracker is available at http://povertytracker.robinhood.org/#home. The online application is available below.

The deadline for application submission is Tuesday, February 21, 2017, at 5:00pm (EST).

The post-holder will be expected to conduct empirical analysis of secondary data from the ALPHA Network, and manage fieldwork projects intended to improve estimation methods in selected partner sites in sub-Saharan Africa. The position is funded by the MeSH Consortium (http://mesh.lshtm.ac.uk/).

The MeSH Consortium is supported by the Bill and Melinda Gates Foundation to develop, test and implement innovative and efficient methods for routine HIV measurement and surveillance among both adults and children. MeSH is administered by The Department of Social and Environmental Health Research in the Faculty of Public Health and Policy. The ALPHA Network is coordinated by the Department of Population Health in the Faculty of Epidemiology and Population Health, where the position will be held. The post-holder will be expected to work flexibly in supporting both projects and other HIV-related surveillance initiatives at LSHTM.

The successful candidate will have a Master’s degree and/or PhD in demography or related discipline; expertise in the analysis of large and complex (longitudinal) datasets; proven ability to use statistical analysis software (preferably Stata or R); a good publication record commensurate with seniority; excellent interpersonal and communication skills (oral and written); good organisational and administrative skills; and research experience that includes working in teams. Expertise in HIV research, the analysis of human mortality, fieldwork management (in resource constrained settings), demographic surveillance systems, and teaching experience at the post-graduate level would be an advantage. Further particulars are included in the attached job description.

The post will be based in London at the London School of Hygiene & Tropical Medicine with occasional national and international travel. The post-holder will be a member of the Department of Population Health which is part of the Faculty of Epidemiology and Population Health. The appointment is available immediately and is for 12 months with the possibility of an extension conditional on funding availability. The appointment is full-time and will be made on LSHTM’s Academic Pathway Research Fellow Scale Grade 6, £37,889 – £43,028 per annum inclusive. The post will be subject to the LSHTM terms and conditions of service. Annual leave entitlement is 30 working days per year, pro rata for part time staff. In addition to this there are discretionary “Director’s Days”. Membership of the Pension Scheme is available.

Applications should be made online via http://jobs.lshtm.ac.uk . Online applications will be accepted by the automated system until 10pm on the closing date (1 Feb 2017).  Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk. Interested applicants may contact Georges Reniers (georges.reniers@lshtm.ac.uk) or Basia Zaba (basia.zaba@lshtm.ac.uk) for more details about the position.

Department of Economic Demography at INED, the French Institute for Demographic Studies, based in Paris, invites applications for a post-doctoral associate appointment for two years beginning in mid-March 2017. The positions is funded by ANR (French research agency) for its project Growing old in a couple  (Vieillir à deux).  The activities will be performed in collaboration with the interdisciplinary team of researchers of the project from different institutions and the position will be attached to the “Economic Demography” research unit.

Profile: Doctoral degree in Social science (economics, quantitative sociology, or demography) and a research experience on one or more of the topics related to marriage, divorce, family, long-term care, retirement or time-use. Knowledge of statistical methods or econometrics is needed. Oral and written command of English and French will be appreciated.

Working conditions: Fixed-term contract of two years with effect from 15^th March 2017. The gross salary will depend on previous experience and range between 2,350€ and 2,733€ monthly (gross). Travel funds are available to present research at meetings and conferences.

The post-doc fellow will participate to research in collaboration with the team members, will have access to administrative data, and help to the writing of funding reports and organization of workshops and conferences of the ANR project.  He/she can benefit from one day per week to finalize his/her own research.

Application procedure: The application, written in French or English, shall include:

• a detailed CV
• a two-page letter of interest that provides a clear picture of your current research and your future research plans, and describes your interests in the project.
• two examples of writings (working paper, dissertation paper, or articles)
• full contact information of two references

The application should be sent by mail to solaz@ined.fr before 15^th February 2017.

This two-hour event is an opportunity for the University of Washington campus community and regional partners to present their activities and connect with others engaged in data-intensive discovery.

Are you engaged in research or teaching involving data-intensive discovery — either advancing the methodologies, or putting these methodologies to work in any field of discovery?  Does your work require extracting knowledge from large, noisy, or complex datasets? Do you use advanced statistical techniques, advanced data management platforms, or advanced visualization methods in your work? Are you involved in inventing these advanced methods? If so, please register to present your work in this poster session!

Refreshments will be provided for all attendees … the costs of poster production will be covered … easels will be provided … This is an incomparable opportunity to network with others who are advancing the forefront of data-intensive discovery.

• Posters must be roughly 32″ x 40″
• Foamcore and easels will be provided for displaying posters (they will not be tacked to the wall)
• You must be present at the postersession (although you’re encouraged to bring someone along so you can simultaneously staff your poster and network with others)
• You must register by Wednesday February 1st.
• Postersetup will be 2-3pm.

If you are printing a new poster, eScience can cover printing costs through UW Creative Communications.

**Please send your name and email address to Robin Brooks to be added to the “approved for printing” list prior to submitting your file to UW CC.**

For guaranteed poster printing, please submit your file to UW Creative Communications by February 1st:

https://f2.washington.edu/fm/c2/posters