The open-access journal Data & Policy (Cambridge University Press) has issued a Call for Papers entitled ###b, which is being run in tandem with a Special Track at the Data for Policy Conference (taking place at Imperial College London 9-11 July 2024).  

Further information about the track, including details about how to submit by the 27th November deadline, can be found on the Data for Policy 2024 Conference website. 

To help us assess the full papers we receive, we are also issuing a public call for reviewers with expertise in new data sources, technologies, and anticipatory techniques and their application to the study of migration trends. 

We therefore invite experts in the field to contact us to express their interest.

To acknowledge their contribution, reviewers will receive:

• A reviewer certificate from Cambridge University Press;

• A discount to Cambridge University Press books (and a gratis book to those who can perform more than one review). 

• Thanks on the page dedicated to the special collection

Interested reviewers should email dataandpolicy@cambridge.org by Nov 27th with the following information:

• Their motivation in reviewing papers for the special collection;

• A CV or list of their relevant work (projects, articles, experiences, etc.) or CV, and affiliation;

• Their affiliation;

• A Conflict of Interest statement

Conflicts of Interest

Interested reviewers provide a statement about situations that could be perceived to exert an undue influence on their ability to review articles that form part of this special collection. Conflicts of interest may be financial, professional, contractual or personal in nature. Declaring a conflict of interest does not necessarily invalidate reviewers from participating, but it will help the guest editors better understand how to use the expertise whilst maintaining an independent process. 

Example wording: “Conflicts of Interest: I am employed at / own shares in / am the board of / have received grants from company X or organisation Y that has a commercial interest in this area.”

Editors

• Martina Belmonte, Policy Analyst at the Joint Research Centre of the European Commission, Knowledge Centre on Migration and Demography (KCMD) Unit.

• Matteo Fontana, Department of Computer Science, Royal Holloway, University of London

• Damien Jusselme,  Head of the Data Science and Analytics Unit at the International Organization for Migration (IOM), Global Migration Data Analysis Center (GMDAC).

• Alina Menocal Peters, Project Analyst at the International Organization for Migration Global Migration Data Analysis Center (GMDAC).

• Umberto Minora, Data Scientist at the Joint Research Centre of the European Commission, in the Knowledge Centre on Migration and Demography (KCMD) Unit

• Anna Rosinska, Policy Analyst at the Joint Research Centre of the European Commission, in the Knowledge Centre on Migration and Demography (KCMD) Unit

• Stefaan Verhulst,  Co-Founder and Chief Research and Development Officer of The GovLab, Professor at the NYU Center for Urban Science and also