UJA-Federation of New York, the largest Jewish nonprofit in the United States, is seeking a research scientist with strong analytical skills and proven experience leading demographic research to direct the internal analysis and reporting of the 2023 Jewish Community Study of New York. The U.S. Census is prohibited from asking questions about religion, so the 2023 Jewish Community Study of New York is the prime source of information about the Jewish community used to inform policy and direct resources to communities who need it most. The study will collect data from a cross-sectional, representative sample of over 6,000 New York area adults who live in Jewish households. These data will be collected online, by phone, and through hardcopy questionnaires, and will provide valuable information on employment, poverty, mental health, Jewish life and identity, and many more content areas. Data collection will begin early February 2023 and end in May, and the analysis of the data will begin in the summer of 2023. For examples of similar past studies, please see the 2021 Covid-19 Impact Study (https://www.ujafedny.org/covid-19-impact-study) and the 2011 Jewish Community Study (https://www.ujafedny.org/api/v2/assets/785729/).

Contact Information: Emily Sigalow at sigalowe@ujafedny.org

The University of Southampton is delighted to welcome applications for a research post in the area of demographic modelling within the newly funded Connecting Generations Centre (CG). 

The new funding is a collaborative project between the long-established Centre for Population Change (University of Southampton, University of St Andrews, and University of Stirling), the University of Oxford Leverhulme Centre for Demographic Science, and the Resolution Foundation. Connecting Generations aims to innovate in knowledge and understanding of intergenerational relations and population change. The Centre is led by Professor Jane Falkingham.

This post sits within the “Modelling Kinship” work package of the CGC. The deepest and most lasting ties between generations are those of kinship, so evidencing how these may evolve in the future is key to understanding the challenges in ensuring fairness between and within generations as the UK population ages. This work package will develop an understanding of the possible futures of kinship relations in the UK using a variety of methodological tools, including matrix population models and microsimulation. 

This research position will be based in the Department of Social Statistics, within the Faculty of Social Sciences. The work is led by Dr Jason Hilton in coordination with Professor Jakub Bijak, Professor Peter W.F. Smith, and Professor Erengul Dodd. You will be part of a supportive group including the Centre Research Manager, other project Researchers and Faculty members, both within Southampton and partner institutions. 

To be successful in this role you will have, or will be close to completing, a PhD (or equivalent professional qualifications) with a strong statistical or mathematical component, such as in statistics, demography, economics, mathematics or computer science. Essential attributes for the role are: Knowledge of quantitative demography and matrix algebra; experience in statistical modelling; proficiency in the use of Python, R or other equivalent programming language; the ability to plan and organise work independently and as part of a team; and the ability to write research presentations and papers. Additionally, knowledge and experience of microsimulation modelling would also be an advantage.

The University of Southampton holds an Athena SWAN Silver Award demonstrating commitment to equal opportunities in the workplace.

Applications will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification.  The title of Research Fellow will be applied upon completion of PhD.  Prior to the qualification being awarded the title of Senior Research Assistant will be given.

Informal enquiries may be addressed to Dr Jason Hilton, email: J.D.Hilton@soton.ac.uk.

The starting date of this position is 3rd April 2023 (negotiable, with the latest starting date being 1st October). Interviews will be held in March 2023.

You should submit your completed online application form at https://jobs.soton.ac.uk. The application deadline will be midnight on the closing date stated above. If you need any assistance, please call Jane Sturgeon (Recruitment Team) on +44 (0) 23 8059 2750 or email recruitment@soton.ac.uk. Please quote reference 1966222CC on all correspondence.

Please see https://jobs.soton.ac.uk/Vacancy.aspx?ref=1966222CC for the full job specification and to apply.

The University of Oxford’s Leverhulme Centre for Demographic Science and Department of Sociology are looking for a Postdoctoral Research Fellow and Senior Postdoctoral Research Fellow in Computational Social Science. The holders will report to Principal Investigator, Professor Ridhi Kashyap, and work closely with Centre colleagues in an interdisciplinary research environment.

Both positions will work on a research project analyzing the impacts of digital expansion on gender equality and women’s social and economic opportunities, supported by the Gates Foundation.

You must apply for the positions through the University of Oxford jobs website. Please contact Ridhi Kashyap with any queries about the roles.

As of January 25, 2023 NIH grant applications will be required to include a data management and sharing plan for any research products generated during the grant period.  The UW’s Office of Research has prepared an excellent resource page for meeting this new requirement.  If you need any research infrastructure support to meet the needs of your projects and the expectations of the data management and sharing plans, don’t hesitate to contact any of us at CSDE for that kind of support.

Here are the details:

 

To promote the management and sharing of scientific data generated from NIH-funded or conducted research, NIH issued a new policy for Data Management and Sharing (DMS Policy, NOT-OD-21-013) which goes into effect for new or competing proposals due on or after January 25, 2023. These proposals must include a data management and sharing plan, and costs to meet this new requirement can be included in the Direct Costs and Justification sections of proposals. FOAs may include specific requirements and may specify a repository. Attached is a slide deck with a summary of information.

 

Recommended steps and resources are outlined here.

• Determine if your proposed research is subject to the DMS policy.
• Develop a plan which is up to two pages and includes the 6 recommended elements.
• Select a data repository.
• Include costs in your proposal budget

 

The DMS Plan must be attached to the proposal and will be assessed by the NIH Institute/Center Program staff. It will not be reviewed by peer reviewers as part of the Overall Impact score. If the DMS Plan is revised during the award period, NIH will need to approve any revisions.

 

Learn More:

• UW summary webpage
• UW slide deck

The NIH’s Office of Behavioral and Social Sciences is holding a technical assistance Webern are on January 26 at 11 am (Pacific).  You can register for the webinar here: https://scgcorp.zoom.us/webinar/register/WN_rLf47J2ERDyBXPm710VzmA

Through the HEAL Initiative, NIH requests applications for studies designed to develop and test sustainable, scalable interventions to prevent opioid misuse, opioid use disorder, and co-occurring mental health conditions by intervening directly on social determinants of health (SDOH). This initiative aims to build an evidence base for preventive interventions that address inequities, social risks and/or social disadvantage. Interventions targeting social determinants may be structural (e.g. policy, regulatory, or systemic-wide changes) or designed to alter outcomes of individuals affected by contextual risk factors, and may be implemented in conjunction with psychosocial interventions designed to address behavioral risks.