Luuk Sengers

Co-founder, Trainer, Story-Based Inquiry Associates

Luuk Sengers is an independent investigative data journalist, lecturer and trainer. He writes data driven stories about the impact of big corporations on the climate and the environment for De Groene Amsterdammer. And he teaches investigation techniques, data journalism and interview skills to journalists, media, NGOs and students. He is also one of the developers of the Story-Based Inquiry method. Earlier in his career he worked as a business reporter at several Dutch national newspapers and magazines, like NRC Handelsblad, Quote and Intermediair. Sengers teaches at universities and in news rooms, but has also trained and advised NGO's like Greenpeace and Friends of the Earth. He co-authored six books about investigative reporting and he regularly speaks at IRE, GIJC, CIJ and Data Harvest conferences, the world’s leading forums for investigative journalisms best practices. He served ten years in the board of the VVOJ, the Dutch-Belgium association of investigative journalists. He has a masters degree in Social-Economic History from Radboud University Nijmegen.

Luuk is speaking at

September 26, 2019
12:00 pm - 1:15 pm
Lecture Hall 200, HafenCity Universität (HCU)

Speakers

Description

Story-Based Inquiry is a field-tested method for defining, deepening and organizing investigations. It consists of four tools -- a hypothesis, a timeline, a source map and a master file -- that enable you to structure a story as you conduct research. The process is simple, and it provides big gains in efficiency. Since its publication by UNESCO in 2009, Story-Based Inquiry has been used by thousands of journalists and translated into more than a dozen languages. In this session the authors will take you through the process, using the example of a recent transnational investigation into agricultural pollution. The session will be of immediate value to reporters who have not yet undertaken long-form work, reporters who have difficulty conceptualizing and pitching a project, and those stuck in the middle of an ambitious project and can't get control of their material.

Data Data Hands-On
September 26, 2019
1:15 pm - 2:30 pm
Room 2.107, HafenCity Universität (HCU)

Limited Seating

30 of 30 seats filled

Download the Whova app to reserve your seat!

Speakers

Description

R has become one of the most popular programs for data science and data journalism. With a few simple lines of code you can do the same things in R as in a spreadsheet (sort, filter, group-by, calculate and stats) but in a much clearer workflow that easily allows you to make changes, to share and to repeat the process with new data. But the learning curve is steep, and it’s all too easy to give up and go back to familiar tools and miss out on all the good stuff R can do for you.

Data journalism trainers Luuk Sengers and Jonathan Stoneman have been there!

In this series of sessions they will help you get through the hardest part of R: getting started.
By the end of the sessions you will know why R is such an important (and free) resource. You will be able to use RStudio to get, import, tidy and analyse your data, and visualise it.

We will be using R and R Studio, so if you are bringing your laptop, make sure to install it beforehand. (Free downloadable software) https://www.dropbox.com/sh/1ufx1h9hnj64t45/AADaYmsEtt7XbD7H7nNJf5Rda?dl=0

R1- Getting started. Why R, intro to various key concepts, RStudio, packages, and simple plots

R2 – The tidyverse. How to use ready-made R packages which help you create a reproducible workflow that helps you get, clean and analyse data

R3 – Getting to grips with visualisation in R. Session ends with a look at how to make further progress in R, sources of training, advice, and reading.

Important Advisory: Hands-on classes are limited to 30 seats. Please sign up only if you are serious about taking the class. Signing up does not ensure you will get in. The first 20 attendees will get in and be able to use the conference laptops, which are PCs pre-loaded with software and data. The next 10 attendees will need their own laptops and software noted in the course description. If you see online that a class already has 30 sign-ups do not hesitate to still sign up, as seats often open up. We will try to repeat popular classes later in the conference. Thanks for your understanding.

Data Data Hands-On
September 27, 2019
2:30 pm - 3:45 pm
Room 2.106, HafenCity Universität (HCU)

Limited Seating

30 of 30 seats filled

Download the Whova app to reserve your seat!

Speakers

Description

R has become one of the most popular programs for data science and data journalism. With a few simple lines of code you can do the same things in R as in a spreadsheet (sort, filter, group-by, calculate and stats) but in a much clearer workflow that easily allows you to make changes, to share and to repeat the process with new data. But the learning curve is steep, and it’s all too easy to give up and go back to familiar tools and miss out on all the good stuff R can do for you.

Data journalism trainers Luuk Sengers and Jonathan Stoneman have been there!

In this series of sessions they will help you get through the hardest part of R: getting started.
By the end of the sessions you will know why R is such an important (and free) resource. You will be able to use RStudio to get, import, tidy and analyse your data, and visualise it.

We will be using R and R Studio, so if you are bringing your laptop, make sure to install it beforehand. (Free downloadable software) https://www.dropbox.com/sh/1ufx1h9hnj64t45/AADaYmsEtt7XbD7H7nNJf5Rda?dl=0

R1- Getting started. Why R, intro to various key concepts, RStudio, packages, and simple plots

R2 – The tidyverse. How to use ready-made R packages which help you create a reproducible workflow that helps you get, clean and analyse data

R3 – Getting to grips with visualisation in R. Session ends with a look at how to make further progress in R, sources of training, advice, and reading.

Important Advisory: Hands-on classes are limited to 30 seats. Please sign up only if you are serious about taking the class. Signing up does not ensure you will get in. The first 20 attendees will get in and be able to use the conference laptops, which are PCs pre-loaded with software and data. The next 10 attendees will need their own laptops and software noted in the course description. If you see online that a class already has 30 sign-ups do not hesitate to still sign up, as seats often open up. We will try to repeat popular classes later in the conference. Thanks for your understanding.

Data Data Hands-On
September 28, 2019
2:30 pm - 3:45 pm
Room 2.106, HafenCity Universität (HCU)

Limited Seating

29 of 30 seats filled

Download the Whova app to reserve your seat!

Speakers

Description

R has become one of the most popular programs for data science and data journalism. With a few simple lines of code you can do the same things in R as in a spreadsheet (sort, filter, group-by, calculate and stats) but in a much clearer workflow that easily allows you to make changes, to share and to repeat the process with new data. But the learning curve is steep, and it’s all too easy to give up and go back to familiar tools and miss out on all the good stuff R can do for you.

Data journalism trainers Luuk Sengers and Jonathan Stoneman have been there!

In this series of sessions they will help you get through the hardest part of R: getting started.
By the end of the sessions you will know why R is such an important (and free) resource. You will be able to use RStudio to get, import, tidy and analyse your data, and visualise it.

We will be using R and R Studio, so if you are bringing your laptop, make sure to install it beforehand. (Free downloadable software) https://www.dropbox.com/sh/1ufx1h9hnj64t45/AADaYmsEtt7XbD7H7nNJf5Rda?dl=0

R1- Getting started. Why R, intro to various key concepts, RStudio, packages, and simple plots

R2 – The tidyverse. How to use ready-made R packages which help you create a reproducible workflow that helps you get, clean and analyse data

R3 – Getting to grips with visualisation in R. Session ends with a look at how to make further progress in R, sources of training, advice, and reading.

Important Advisory: Hands-on classes are limited to 30 seats. Please sign up only if you are serious about taking the class. Signing up does not ensure you will get in. The first 20 attendees will get in and be able to use the conference laptops, which are PCs pre-loaded with software and data. The next 10 attendees will need their own laptops and software noted in the course description. If you see online that a class already has 30 sign-ups do not hesitate to still sign up, as seats often open up. We will try to repeat popular classes later in the conference. Thanks for your understanding.

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