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Mellon/ACLS Public Fellows Competition for Recent PhDs

Today, we launched the ninth annual competition of the Mellon/ACLS Public Fellows program. In 2019, the program will place up to 21 recent humanities PhDs in two-year positions at the nonprofits and government agencies listed below. Public Fellows will participate in the core work of these partner organizations and will have access to professional and peer mentoring. The fellowship carries a stipend of $68,000 per year, as well as health insurance, a relocation stipend, and $3,000 toward professional development activities. The program is made possible by the generous support of The Andrew W. Mellon Foundation.

The 2019 hosting organizations and positions are:

  • Alliance Theatre (Atlanta, GA) – Community Engagement & Audience Development Manager
  • American Public Media (St. Paul, MN) – Senior Research Analyst
  • Center for Court Innovation (New York, NY) – Communications Project Manager
  • Chicago Humanities Festival (Chicago, IL) – Program Manager
  • Citizens Committee for the Children of New York (New York, NY) – Policy & Budget Analyst
  • Committee to Protect Journalists (New York, NY) – Research Manager
  • Community Change (Washington, DC) – Policy Advisor
  • Data & Society Research Institute (New York, NY) – Editor
  • The German Marshall Fund of the United States (Washington, DC) – Program Officer
  • Harriet Beecher Stowe Center (Hartford, CT) – Grants Manager
  • Library of America (New York, NY) – Outreach Programs Manager
  • National Conference of State Legislatures (Denver, CO) – Legislative Policy Specialist
  • National Low Income Housing Coalition (Washington, DC) – Research Analyst
  • Natural Resources Defense Council (Washington, DC) – Campaign Advocate, Latin America Project
  • PEN America (New York, NY) – Festival Programs Manager
  • Public Books (New York, NY) – Associate Editor
  • Rare (Arlington, VA) – Community Engagement Manager
  • Reinvestment Fund (Philadelphia, PA) – Policy Analyst
  • San Francisco Arts Commission (San Francisco, CA) – Community Impact Analyst
  • Seattle Office for Civil Rights (Seattle, WA) – Senior Researcher
  • World Justice Project (Washington, DC) – Program Manager

Read more about the positions at www.acls.org/programs/publicfellowscomp/. This year’s deadline is 9 pm EDT on March 13, 2019. Please spread the word to members of your network who may be interested in joining the ranks of Mellon/ACLS Public Fellows!

Sincerely,

John Paul

Call for Applications: Annual Formal Demography Workshop: Migration (Berkeley, 6/3-6/7/2019)

The Fifth Annual Berkeley Formal Demography Workshop – Special Emphasis Topic: Migration, to be held Monday-Friday, June 3-7, 2019 at the University of California campus.

Join us for an educational program designed to train the next generation of population researchers in the methods in formal demography. This week-long program, with funding by NICHD R25HD083136 at Berkeley consists of three days of hands-on training followed by two days of research presentations by invited faculty.  The workshop is targeted to advanced graduate students, postdoctoral fellows, assistant professors and other early career researchers.  We are particularly interested in supporting underrepresented minorities.  Those studying aspects of migration, health disparities, economics, sociology and/or public health will particularly benefit, but those with other interests should also apply.

Financial Support: Trainees’ expenses for materials, lodging and meals will be covered.  Need-based support for travel is available.  We regret that we cannot cover travel from outside the United States.

DEADLINE:  March 1, 2019. Application materials and more information about the program and formal demography can be found on the Workshop Website:  http://www.populationsciences.berkeley.edu/population-center/programs/formal-demography.

For more information, contact Dr. Leora Lawton, Executive Director, Berkeley Population Center, at Popcenter@demog.berkeley.edu, or 510-643-1270.

Call for Papers: Aging & Social Change Ninth Interdisciplinary Conference (Vienna, 09/16–09/17/2019)

We are pleased to announce the Call for Papers for the Aging & Social Change: Ninth Interdisciplinary Conference, held 16–17 September 2019 at the University of Vienna in Vienna, Austria.

We invite proposals for paper presentations, workshops/interactive sessions, posters/exhibits, colloquia, innovation showcases, virtual posters, or virtual lightning talks. The conference features research addressing the annual themes and the 2019 Special Focus: “Aging in Times of New Nationalisms: Inequalities, Participation, and Policies.”

Call for Proposals: International Metropolis Conference – The Promise of Migration: Inclusion, Economic Growth and Global Cooperation (Ottawa, 06/24-06/28/2019)

The Canada Department of Immigration, Refugees and Citizenship will host the International Metropolis Conference 2019, a major international gathering of world experts from academia, governments and civil society in the fields of migration, integration and diversity. The conference’s program will reflect both Canadian and international strategies regarding immigration, integration, diversity and inclusion.

The call for proposals for workshops, posters and individual papers for the 2019 International Metropolis Conference is now open.

For more information, please go to the website: https://www.internationalmetropolis2019.ca

For any questions, please send an email to the International Metropolis Conference Project Team at canada@internationalmetropolis2019.ca.

The Melting-Pot Problem? The Persistence and Convergence of Premigration Socioeconomic Status in the Age of Mass Migration

Speaker: Peter Catron, Assistant Professor, Department of Sociology, UW

A long-standing debate is concerned over how long premigration socioeconomic differences persisted for immigrants and their descendants who entered at the turn-of-the-twentieth century. Some researchers argue that differences exist today, over 100 years after first arrival, while others argue that most differences disappeared after the third generation. However, none of this research has directly measured pre-migration socioeconomic status nor has it directly linked immigrants to their children. I create a new panel dataset that follows immigrants and their children from the sending country through settlement. Specifically, I link ship manifest records to census records to track how long premigration socioeconomic differences persist across generations. Passenger records provide a wealth of information of individuals including the occupation before arrival. I analyze how long premigration differences persist within and between groups. Whereas premigration socioeconomic status is associated with the first generation’s economic outcomes after settlement, many of these differences disappear by the second generation. These results suggest that background is not destiny for immigrant descendants. As scholars and politicians debate about whether countries should admit primarily high-skilled or low-skilled immigrants, the results from this article tell us whether such selection policies are necessary to ensure strong migrants’ performance in a period of open borders.

Call for Proposals: Data Science for Social Good (DSSG) Summer Program

 Program Overview

The UW eScience Institute, in collaboration with the Cascadia Urban Analytics Cooperative, opened applications in late 2018 for the fifth offering of the Data Science for Social Good (DSSG) summer program, to be held during the summer of 2019.

We invite short proposals for 10-week data-intensive research projects requiring collaboration in data science approaches, such as scalable data management, statistical analysis, machine learning, open source software development, cloud and cluster computing, and/or data visualization.

We seek proposals that have an applied social good dimension and broadly address questions related to social science, human services, public policy, environmental impacts, and urban informatics. We welcome proposals submitted by academic researchers, public agencies, non-profit entities, and industry.

Accepted proposals will need to designate a Project Lead (usually the author(s) of the proposal) who will closely collaborate with one or more Data Scientists from the eScience Institute and an interdisciplinary team of 4-5 student fellows support by eScience (see Project Team Composition and Time Commitment below).

This program is inspired by a similar endeavor at the University of Chicago and is delivered as part of our Data Science Incubator program. The projects on those websites and especially the projects from our previous DSSG programs may serve as useful inspiration.

In reviewing the proposals, we will be looking for projects with well-defined deliverables that clearly articulate how the DSSG program can help advance your project.

This program is sponsored in part by Microsoft and the Cascadia Urban Analytics Cooperative.

Submit proposals here.

Important Dates for DSSG 2019

·  Wednesday, November 28, 2018 11:00 am – 12:00 pm: Information Session 1, Data Science Studio Meeting Room, 6th floor Physics/Astronomy Tower, UW campus – DSSG_info_session_slides

·  Wednesday, January 16 4:00 pm – 5:00 pm:  Information Session 2, Data Science Studio Meeting Room, 6th floor Physics/Astronomy Tower, UW campus – DSSG_info_session_slides

·  Monday, February 18, 2019 midnight PT: Deadline for submitting project proposals

·  Friday, March 15, 2019: Project proposal short-list notification

·  March – June 2019: Project scoping meetings with data scientists (2-3 meetings)

·  Monday, June 17 – Friday, Aug 23: DSSG Program

Project Team Composition

DSSG projects will be executed by a team consisting of an external Project Lead (typically the author of the proposal), one or more Data Scientists from the eScience Institute, and four or five students (graduate and advanced undergraduate) who will be selected and paid by the eScience Institute.

The Project Lead is expected to submit the project proposal. Together with the Data Scientists, the Project Leads will co-manage the student teams. The Project Lead will bear primary responsibility for project design and execution throughout the summer. The Data Scientists will provide guidance on methods, technologies, and best practices in extracting knowledge from large, noisy, and/or heterogeneous datasets, as well as general software engineering. Student responsibilities will vary from project to project, but their role may include developing code, selecting methods, conducting analyses, contributing to design, preparing documentation, and incorporating stakeholder perspectives into the project. The project team may also include external mentors and stakeholders as appropriate. In addition to their direct contributions to projects, students and Project Leads will have the opportunity to participate in a number of technical tutorials and research talks.

Time Commitment

The DSSG takes place from mid June through late August. Project leads are expected to spend the equivalent of at least two days per week (16 hours) in the Data Science Studio (DSS) working face-to-face with their team members. For the most part, Project Leads have the flexibility to establish a schedule that works for them and their teams. However, please note that the first week of the program consists of several mandatory orientation and teamwork sessions led by eScience staff, and Project Leads are encouraged to participate in a regularly scheduled standup meeting and social hour each week. Data Science mentors from eScience also commit the equivalent of 16 hours per week to the project, while student fellows will be employed full-time throughout the summer, and are expected to work in the Data Science Studio during business hours Monday-Friday.

Proposal Submissions

Project proposals should be submitted through the online submission form by 11:59 pm (Pacific Time) on February 18th. Click here to apply.

Frequently Asked Questions

Please see our FAQ page for prospective Project Leads.

Inquiries

If you are considering submitting a project proposal to DSSG, we hope you’ll attend one of our information sessions listed above, but we also encourage you to reach out to us early on with any questions you may have about the program, selection process, or what makes a successful project. For general inquiries, please contact Anissa Tanweer (tanweer@uw.edu).

Call for Applications: Computational Social Science Summer School on Data-Driven Modeling of Migration (Sardinia, 06/10-06/21/2019)

Call for applications:

Computational Social Science Summer School on Data-Driven Modeling of Migration
Santa Margherita di Pula (Sardinia), Italy, 10-21 June 2019

Deadline for applications: 17 February 2019

See attached PDF flyer.

The Bremen International Graduate School of Social Sciences (BIGSSS) Computational Social Science summer school cordially invites junior researchers (advanced MA students or higher*) to apply for participation in the CSS summer school on data-driven modeling of migration to take place in Santa Margherita di Pula on Sardinia, Italy, from June 10-21, 2019.

Women are especially encouraged to apply!

The CSS summer school serves as a research incubator aiming at fostering the use of data-driven methods in the social sciences and developing a contribution to the research field of migration. During the summer school, you will work in one of eight teams of five people on a specific research project. Each team consists of three junior researchers and two senior experts/supervisors, with strong methodological expertise in CSS and the field of migration research. Each team will work through the whole research process with the aim to prepare a manuscript for scientific publication. Each project combines CSS methods with a research focus on migration. This involves data-driven modeling of migration and making use of simulation or prediction techniques. The projects may look, for example, into the consequences of migration and its relation to conflicts and social cohesion.

Learn more about the general summer school concept, the focus on migration and CSS methods of the 2019 school, as well as check out our expert team and the pre-defined projects they offer:
https://bigsss-css.jacobs-university.de/calls/call2019/

Venue and accommodation
The 2019 summer school will be in Santa Margherita di Pula on Sardinia, Italy from June 10-21, 2019. The summer school hotel will be announced soon.

All participants are offered accommodation in shared double rooms in the summer school hotel including half board (breakfast buffet and dinner).

Travel grant
Applicants may apply for a travel grant within the limits regulated by the Volkswagen foundation. If your application is successfull, you will get reimbursed for your travel expenses only after the summer school has ended and you have handed in all original receipts and tickets. Find a list with reimbursement caps here.

You are only eligible for the travel grant if your home institution does not cover your travel expenses.

If you apply for a travel grant, indicate this in the EasyChair application form and add a cover letter in which you explain your need of a travel grant briefly and give proof that your home instoitution does not cover your travel expenses.

Registration fee
The registration fee is of 250 Euro per participant. The fee can be waived for participants from low-income countries.

Application
Follow the link to apply: https://bigsss-css.jacobs-university.de/calls/application/ The deadline is February 17, 2019.

*Eligibility criteria
There are no strict eligibility criteria. We recommend applicants to have finished at least their undergraduate studies (BA degree). However, PhD students are the main target group. Scholars even further in their career (e.g. postdocs) are welcome to apply, too,

Call for Papers: Special Issue – Population Statistics for the 21st Century

The aim of the special issue is to present cutting-edge innovations in the methodology and applications relevant for official population statistics, in order to help the users of statistical products better address the challenges of the 21st century.

We invite submissions especially in the following areas, the list of topics being non-exhaustive: Key concepts in population statistics, Methods for demographic estimation and forecasting, Specific areas of application, Production of official population statistics and Cross-cutting methodological themes.

Special Issue Guest Editors:

  • Jakub Bijak, Professor of Statistical Demography, University of Southampton, United Kingdom
  • John R Bryant, Senior Researcher, Statistics New Zealand, Christchurch, New Zealand
  • Elżbieta Gołata, Professor and Pro-Rector, Poznań University of Economics and Business, Poland

Other editors to be confirmed.

Special Issue: Population statistics for the 21st Century:

Reliable population statistics are indispensable for many crucial areas of public policy and planning worldwide. At the same time, the world is changing rapidly, with population processes gaining pace and acquiring new forms, such as the increasingly fluid mobility and migration. Novel technologies, data sources and analytical methods offer new, better than ever opportunities to deal with the demographic challenges of the future. The role of official population statistics in addressing these challenges – from aiding humanitarian relief for victims of wars and environmental catastrophes, to ensuring sustainability of social security systems for the decades to come – is fundamental.

The aim of the special issue is to present cutting-edge innovations in the methodology and applications relevant for official population statistics, in order to help the users of statistical products better address the challenges of the 21st century.

We invite submissions especially in the following areas, the list of topics being non-exhaustive:

  1. Key concepts in population statistics
    To make the official demographic statistics fit for the 21st century, the key concepts related to populations and their dynamics need to be revisited and updated. To that end, we welcome rigorous papers or letters, addressing the conceptual issues related to defining populations, residence, migrants and migration events, urban and rural areas, and so on. We envisage that successful papers in this category would include concrete recommendations that can form a base for further discussions on international statistical fora.
  2. Methods for demographic estimation and forecasting 
    We invite methodological papers dealing with various aspects of official population statistics. Specific topics regarding estimation under this theme include: methods for small area statistics, the design and use of methods for register-based and census-based estimates, as well as census methodology as such – from full count to register-based or sample-based enumeration. We also invite contributions on forecasts or projections of populations, households, as well as individual components of demographic change. Papers exploring innovative methods, such as offering statistical versions of indirect demographic estimation, the use of administrative sources, ‘Big data’, and data linkages in population statistics are also welcome.
  3. Specific areas of application
    On the applied side, we encourage submissions offering specific solutions to key challenges of official statistics in specific areas of demographic and population-related applications. They may include methods for the individual components of demographic change, specific populations or subpopulations, as well as studying populations across different dimensions (such as health, education, migration or ethnic background, and so on).
  4. Production of official population statistics 
    We welcome submissions concerned with the statistical infrastructure, production and dissemination of population statistics. This broad category can include papers looking into the practical aspects of making efficient use of new data sources, increasing data availability to the users, integration of different data, geo-referencing, or visualisation of population statistics. Papers demonstrating practical solutions to specific computational, organisational and practical challenges are particularly encouraged.
  5. Cross-cutting methodological themes
    Finally, we encourage papers on cross-cutting methodological themes in official population statistics. These can include, but are not limited to, comparisons of statistical approaches for different demographic applications, such as Bayesian versus frequentist, or model-based versus design-based methods. More broadly, papers on various applications of methods of statistical demography in official statistics, with their challenges and opportunities, are welcome.

Submission guidelines and deadlines: