LONGPOP | Web Site Longpop - Training
Webpage of the EU Horizon 2020 Marie Sklodowska-Curie MSCA-ITN Project LONGPOP (Methodologies and Data mining techniques for the analysis of Big Data based on Longitudinal Population and Epidemiological Registers)
Longitudinal analysis, Demography, Population Studies, Epidemiology, Statistics, Mathematics, Economics, Geography, History, GIS, Big Data, Data Analysis, Quantitative Methods, Public Health
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LONGPOP Masterclasses on Advanced Modelling. 3 – 5 July, Nijmegen

The Radboud University Nijmegen of The Netherlands organises these three-day Masterclasses on Advanced Modelling concerning a specific set of techniques for a reduced number of researchers. This tailored course is part of the training programme of the Early-Stage Researchers of the LONGPOP project.

The expert of the Masterclassess will be: Dr Hannaliis Jaadla (Cambridge), Dr Matthias Studer (Geneva), Dr Bendix Carstensen (Copenhagen) and Dr Trifon Missov (Rostock). The course is organised by Jan Kok and Angelique Janssen from the Radboud University Nijmegen.

The experts will work with the students, based on the papers previously submitted by them. The methodology will allow the work on one-to-one basis, thanks to the reduced number of participants. The aim is to guide the students in their own modelling, rather than to learn how to handle specific types of software.

For more information please contact Jan Kok: j.kok@let.ru.nl 

Radboud University

Workshohp on ‘Methodologies and techniques for the analysis of surveys and longitudinal registers’, 18-20 June, Alghero

The University of Geneva, together with the University of Sassari, organises a workshop on Methodologies and techniques for the analysis of surveys and longitudinal registers, from 18 to 20 June at the School of Architecture, design and urban planning in Alghero (Italy), Bastioni Marco Polo 77, 07041.

Based on the research topics of many LONGPOP ESRs, this workshop’s topic is centered around social inequalities in health in old age and the life course construction of heterogeneity in health and living conditions of the elderly populations.

In terms of theoretical background, we will exchange with the ESRs regarding the theories they employ in their own research. Probably the most popular reference is the theory of cumulative (dis)advantages that can also be found the field of developmental psychology with the concept of cognitive reserve, completed with the (dis)use theory.

All along the workshop, the ESRs will have a chance to discuss their own results, and more specifically their interpretation thereof. Each will benefit from the collective discussion but also receive in-depth face-to-face feedbacks.

Each of the three days will be held by a different professor and will start with a plenary lecture given by the researcher Rainer Gabriel, focusing on data and analytical methods, theories, and results and interpretations. The rest of the workshop will be held  by Philippe Wanner, Professor of demography at the University of Geneva, Michel Oris, full professor in the School of Social Sciences at the University of Geneva and Matthias Kliegel, Professor in Psychology at the University of Geneva.

For more information please contact Michel Oris: Michel.Oris@unige.ch

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Course ‘Intermediate Data Structure and Converting Data into IDS’, 26- 28 March 2018, Amsterdam

This course is organised by Prof. Kees Mandemakers from the International Institute of Social History of the Koninklijke Nederlandse Akademie van Wetenschappen (KNAW).

This three-day course is meant for Early Stage Researchers (ESRs) or students in general who want to learn how to exploit their historical sources in a structured, systematic and sustainable way. Primary goal is teaching them best practices of handling historical longitudinal data by way of the Intermediate Data Structure (IDS). Secondary goal is to guide students in working with their own dataset: Converting them into the IDS structure and developing their own extraction software. Recent experiences in the use of extraction software will also be presented and discussed.

The first day the IDS will be introduced and explained; the second and third day will be focused on working with the datasets that the ESRs or students are working with including an introduction to the working of so-called extraction software. All kind of practical problems and solutions will be discussed and eventually tried out.

 

The course is designed for Early Stage Researchers (ESRs) within the context of the LONGPOP program, but there is room for more students. The course is free of charges, but students have to pay their own accommodation and travel. The course will be held at the International Institute of Social History in Amsterdam.

Click here to download the programme.

If you wish to attend the course please contact Kees Mandemakers: kma@iisg.nl

 

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Two ArcGIS courses: Architecture and Development. 26 February to 9 March 2018, Madrid

In the framework of the LONGPOP project, ESRI España is organising two training courses on the ArcGIS Platform, to be held in Madrid (Spain). The ARCHITECTURE course is taking place from 26 February to 2 March, while the DEVELOPMENT course will be celebrated one week later, from 5 to 9 March. The sessions will be from 9 to 14h.

ArcGIS is a platform that offers a complete and comprehensive management of geographic information, from data generation to spatial analysis. The platform allows users to consume spatial data on any mobile device adapting to the user’s needs and to implement workflows such as displaying local or portal information and creating maps or web applications.

The ARCHITECTURE course takes a tour of several of the pieces of the platform, from the desktop software to the workflows for the capturing field information. The main objectives pursued with this course is to get fellows to be able to use different resources of the ArcGIS platform.
The main skills that the student will acquire are the following:
• Work and organize information with ArcGIS Pro.
• Share information in the platform from ArcGIS Pro
• View and edit data with ArcGIS pro
• Analyze information with ArcGIS Pro.
• Share resources with the platform.
• Create maps and web applications.
• Design a workflow for capturing information in the field.
• Use the portal data to create maps designed for communication: the Story Maps.

ARCGIS image

An example of ArcGIS. Image copyright: ESRI

 

The DEVELOPMENT course goes through the options to create scripts to automate tasks, processes and workflows in the ArcGIS platform. The main skills that the students will acquire are the following:
• Create geoprocessing models with Model Builder
• Use the specific tools of Model Builder
• Understand the structure and capabilities of the arcpy library
• Create scripts in Pyhton with arcpy
• Create tools that integrate Python scripts
• Understand the structure and functionality of the Python API
• Query and manage your WebGIS with the Python API
• Install the R-ArcGIS Bridge
• Use the R-ArcGIS Bridge to import, export and process ArcGIS data in R and vice versa.

For more information about ESRI and its courses please contact Paloma Lara: paloma.lara@esri.es

Course ‘Introduction to Spatial Regression with R’, 22-24 January 2018, Leuven.

Spatial statistics concerns the analysis of the geographical pattern of the outcome of interest. Is there a geographical trend? Do events cluster together? Focus in this course is on spatial regression techniques to be used for analysis of population and epidemiological registers. Emphasis is regression techniques and hands-on examples using R.
The course will provide participants hands-on knowledge and skills to use the methods in their own research. In particular, participants will:

  • Understand the concept of spatial autocorrelation, and test for presence of spatial autocorrelation;
  • Get to know different spatial regression models, and how to program them in R software;
  • Get to know Bayesian inference for spatial models;
  • Develop their own basic spatial regression model;
  • Get familiar with spatio-temporal models.

The course consists of three full days of lectures and computer labs. The lectures will be given by experienced researchers in the area of spatial statistics. The goal of the lectures is to provide participants with the background necessary to understand methods of spatial modelling. The computer labs are designed to provide participants with hands-on experience in the use of spatial regression techniques.

The course is organised by FaPOS and will take place in the Katholic University of Leuven, Raadzaal, Leuven, in the framework of the LONGPOP project.

For further information please contact Hideko Matsuo: hideko.matsuo@kuleuven.be

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Workshop on ‘Introduction to Agent-Based Computational Modelling in Population Studies’. 15-19 January 2018, KU Leuven.

Agent-based computational (ABC) modelling is a relatively new approach to research in the social sciences. In ABC modelling, societal phenomena such as the emergence of social institutions, segregation, and the spread of innovations are studied from the ‘bottom up’, by modelling the behavior and interactions of the individuals that make up society. An increasing number of scholars advocate the use of ABC modelling in population studies, but researchers often lack the knowledge and skills that are necessary to develop and analyze agent-based models.
The course will provide participants with the knowledge and skills that are necessary to implement agent-based models. In particular, participants will:

  • learn about the benefits of agent-based models and the type of research questions that can be addressed with such models;
  • get to know existing agent-based models in different areas of the social sciences and population studies, such as mate search, fertility, and historical demography;
  • learn to develop their own basic model of population dynamics with the modelling platforms NetLogo and JAS-mine;
  • learn how to design and analyze systematic computational experiments.

The workshop is organised by FaPOS and will take place in the Katholic University of Leuven, Raadzaal, Leuven, in the framework of the LONGPOP project.

For further information please contact Hideko Matsuo: hideko.matsuo@kuleuven.be

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Course ‘Introduction to using linked administrative data for social and health research’. 27 November – 1 December 2017. Edinburgh

The course will give an introduction to administrative data, describing what it is, some of the particular problems in working with this type of data and how to deal with this. Theoretical sessions will be backed up by hands-on practical sessions, using R or Stata to write syntax to prepare linked data files for analysis, document workflow, identify data quality issues, and deal with missing data.
There will be sessions on: indexing, linking and joining datasets; working with dates and times; an introduction to descriptive and inferential statistics for administrative data; and methods for dealing with missing data. There will also be sessions on how to apply for access to linked data, and secure data access within a safe setting, as well as the ethical, confidentiality and disclosure issues around using this type of data. A data showcase session from data controllers will give a flavour of the type of data that is available. Current researchers will highlight their research using linked administrative data and describe the advantages of this approach, as well as the problems they have encountered and the lessons learned.
By the end of this course participants will have the skills to identify, access and prepare linked administrative data for analysis.

Delivered by the Administrative Data Research Centre-Scotland at Edinburgh Training and Conference Venue, 16 St Mary’s Street, Edinburgh. The ADRC is led by the University of Edinburgh, one of the beneficiaries of the LONGPOP project.

More information can be found on ADRC Scotland’s website.

 

ADRC course description

Research Course “Adding the Geographic Context to Demographic Analysis”. 11-15 September 2017, Lund. Lund University

This research course is aimed at providing students with methods and theories of historical demography and GIS:

  • GIS theory, data, and tools
  • Creating and analysing geographic context variables
  • Survival analysis with geographic micro-level factors
  • Scanian Economic Demographic Database (SEDD)

The course is organised by the Centre for Economic Demography of Lund University. Instructors will be Tommy Bengtsson, Lars Harrie, Finn Hedefalk and Luciana Quaranta.

Applications closed on 15 April 2017.

For further information please contact: madeleine.jarl@ekh.lu.se

This is the program of the Research Course "Adding the Geographic Context to Demographic Analysis"

LONGPOP Summer School on Sequence Analysis with R. 28-31 August 2017, Geneva. Université de Genève

This is a four day intensive training course for those who want to learn how to perform sequence analysis. It’s a hands-on course: We will focus on how to prepare, import and analyze data using the “toolbox” that is the “TraMineR” package in R.

Ideally, students bring their own dataset. In order to efficiently work on your own data during the course (and not to lose time with technical manipulations), it is best to contact the course leader prior to the course to assess the suitability of their data. Based on this initial assessment we can discuss whether any preparatory work is required and whether the student has the capacity to do this on his or her own or whether the course team should help.
Given this hands-on nature of the course, there are only limited places available in order to ensure that we can provide you with adequate support throughout the course.

This is an advanced course and complete beginners in R might have a hard time following. Hence, the participation of the ESDG summer school R-course is strongly advised. For those who have only basic knowledge of R or for those who wish to have a quick refresher, we can organize an evening crash-course on the first day.

For more information please contact: rainer.gabriel@unige.ch

One-Day Introductory Training Workshop on Survival Analysis. 8 June 2017, Edinburgh. University of Edinburgh

This is a one-day workshop led by SLS Staff (Prof. Gillian Raab) on survival analysis for time to event data.  The course is suitable for those with experience of statistical analyses but new to this type of analysis. It would be of particular interest to those considering using the Scottish Longitudinal Study to analyse time to event data.

This workshop will introduce methods to display and model time to event data, including Kaplan-Meier plots and Cox proportional hazards regression. The survival analysis theory will be complimented with hands-on practical sessions using either SPSS or Stata (R if sufficient interest is indicated) on training datasets similar to SLS data. Presentations of real projects will demonstrate research potential.

The course is intended for postgraduate students, academics and health or social researchers interested in learning how to do survival analysis in a statistical package. The course assumes some skills in statistical analysis, in particular a good knowledge of multiple regression and logistic regression would be beneficial. Additionally, a familiarity with using either SPSS, Stata or R syntax/command files is essential.

More information can be found here. For further details please contact: angela.fallon@ed.ac.uk

One-Day Introductory Training Workshop for the Scottish Longitudinal Study (SLS). 7 June 2017, Edinburgh. University of Edinburgh

The Scottish Longitudinal Study (SLS) links together routinely collected administrative data for a 5.3% representative sample of the Scottish population (about 270,000 people). It includes a wealth of information from the censuses (1991 to 2011), vital events registrations (births, deaths, marriages), weather and pollution data, and education data from 2007 onwards. The SLS with appropriate permissions can also be linked to other health data sources such as cancer registry and hospital admission data from the NHS in Scotland.

The course content will include:

  • Introducing the SLS and the main data sources that are linked, including Census data, Vital Events data (births, deaths, marriages) and Education data
  • Examples of the types of studies that could be undertaken using the SLS
  • Detailed information about how to access the SLS
  • An overview of the possibilities to link the SLS to NHS health data (cancer registry and hospital admission data, etc)
  • An introduction to the online Data Dictionary and a hands-on computer lab in SPSS
  • The new SLS Birth Cohort of 1936 (SLSBC1936) and SLS future developments

More information can be found here. For further details please contact: angela.fallon@ed.ac.uk

DEMOGRAPHY TODAY Lecture Series and Postgraduate Program 2017

The Demography Today lecture series aims to promote and communicate scientific work on demography through the dissemination of research and the training of specialists in issues related to demography, Big Data, longitudinal records and health, while informing society, in an accessible way, about issues currently in the foreground of scientific and political debate, such as the limits to longevity, pension systems, aging, emerging diseases, migration and low fertility.

This lecture series enjoys the exclusive support of the BBVA Foundation and has been co-organized with the Spanish National Research Council and the LONGPOP project (Methodologies and Data Mining Techniques for the Analysis of Big Data based on Longitudinal Population and Epidemiological Registers).

All lectures are available for viewing on the interactive platform: www.demografia.tv

The lecture series also forms part of the Postgraduate Courses run by the Spanish National Research Council (CSIC).

Information and contact: demografia@cchs.csic.es

Tel: (34) 916022403 /(34) 916022782

http://demografia.iegd.csic.es

 

Demography Today Program

DOWNLOAD THE FULL PROGRAMME

Introduction to ArcGIS 10.4.1. 9-14 January 2017, Madrid. ESRI

This course is a training workshop designed for LONGPOP project. It is a course about Geographic Information System based on ArcGIS Platform of Esri Technology.
This course introduces GIS concepts and ArcGIS tools used to visualize real-world features, discover patterns, and communicate information. Using ArcMap and ArcGIS Online, participants will work with GIS maps, explore data, and analyze maps and data as you learn fundamental concepts that underlie GIS technology.
Also, participants will acquire the skills to perform the most common ArcGIS workflows. Primarily using ArcMap, they will explore, manage, and analyze geographic data and create informative maps. Finally participants will learn techniques to effectively share your ArcGIS work with decision makers, colleagues, and the public.

More information  on ArcGIS can be found here.

LONGPOP Winter School ‘Intermediate Data Structure and Extraction Software’. 28-30 November 2016, Amsterdam. EHPS-NET

This three day course was meant for researchers who wanted to learn how to exploit their historical sources in a structured, systematic and sustainable way. General goal was teaching students best practices of handling historical longitudinal data by way of the Intermediate Data Structure (IDS).

The first day of the workshop was directed at IDS itself. In the morning Kees Mandemakers did teach the background and structure of the IDS. In the afternoon the students worked in groups of two on an assignment directed at the conversion of a simple dataset into IDS.

First item in the morning of the second day was the discussion of the results of the assignment the day before. The second part of the morning was a webinar about the ‘IDS transposer’ by George Alter and Emily Merchant. Subsequently Anders Brandström gave a lecture about the nature of extraction software and the way the extraction software for occupational titles was structured. During the afternoon Luciana Quaranta took over by explaining her way of constructing extended IDS, chronical and episode files.

The third day opened with a demonstration by Kees Mandemakers of query building in Access to make IDS files. After this Luciana continued her lecture of the second day. Subsequently Göran Broström took over by explaining R-studio and the way how extraction software is built in R. He used the example of the so-called Leuven files in which five groups of researchers analysed the same hypothesis about the passing of risks of infant mortality from mother to daughter using five different datasets which were all converted into IDS. In the afternoon the students worked on assignments to design extraction software in the field of fertility or social mobility (in four groups of four). After the discussion of their results, a formal written evaluation took place (for the results see next section). After a short direct evaluation in which the students were asked for comments, the winter school was closed.

The course was taught by prof. dr. Anders Brändström, prof. dr. Göran Broström, prof. dr. Kees Mandemakers, and dr. Luciana Quaranta and was attended by 16 participants.

Big Data Workshop. 22-24 November 2016, Saragossa. TELNET

From 22 to 24 November, TELNET organised in Zaragoza the first workshop session within the European H2020 project.

The first day was inaugurated with the talk of Ángel Fernández, director of the Technological Institute of Aragon (I.T.A), Diego Ramiro from CSIC and José Víctor San Millán from TELNET Intelligent Networks. During the first half of the morning the following lectures were given: “Challenges feeding big data from the real world” and “Open resources for improving data lake capacities” by the Aragonese Institute of Engineering (I3A), and “Moriarty, a framework for developing AI and Big Data tools” by I.T.A.

After coffee break, it was the turn of the Institute of Biocomputation and Complex Systems Physics (BIFI) with his lecture “Big Data in the Telecom industry: the role of the academy in research and education” followed by a roundtable titled “The Society is taking advantage of Big Data technology. Who and How?”, where they discussed the use of Big Data technology in today’s society. The Polytechnic University of Madrid closed with this day with the talk “Big Data in the Telecom industry: the role of the academy in research and education”. After finishing, the participants were offered a guided tour of the city so that they had the opportunity to know some of the most emblematic places such as the Basilica del Pilar, the Tower of Laseo or the Palace of the Aljafería.

The second day was attended by David de Torres of Energy Minus who analysed the state of the Spanish energy sector, by the City Council of Zaragoza with the lecture “The City in the simulator”, the R & D engineers of TELNET Intelligent Networks Francisco Rastrilla, Ocatavio Benedí And Daniel Fraile who spoke about TELNET’s key role in the Globalrider project, the TECNARA Cluster and its lecture “Business and Social performance for the Big Data Technology” and the morning was closed by IDOM, with “Data driven and increased cities”. In the afternoon, participants participated in the training session “Creativity for innovation in Big Data Technology”.

During the third day the attendees had the opportunity to visit the facilities of BIFI, I.T.A and TELNET Intelligent Networks. Both the attendees and the companies that collaborated in the workshop have highly valued the event.

 

More info here.