A separate ticket is required to attend this masterclass. If you would like to attend but haven't yet purchased a ticket, please contact us at info@dataharvest.eu
R is one of the most useful programming languages in data journalism. You may have heard of it, maybe even tried it a little and found the learning curve too steep. If so, this session is for you.
We are going to spend the day looking at European Environment Agency’s EPRTR (European Pollutant Release and Transfer Register) data – it’s a lot of data, and some of it is quite messy. It contains dozens, probably hundreds, of potential lines of investigation to be explored – and that’s what we’re going to do.
By the end of the day, you will know how to import data in an R environment, filter it, reshape it, and interrogate it. You will be able to make some basic graphs. Above all, you will be on the way to finding stories in the day’s chosen data, and be able to take your script away and use it again, or adapt it to other datasets. And, we hope, you will have the beginnings of a story idea.
We will assume that you are familiar with spreadsheets, but that you have no knowledge of R. You will not need to install anything – everything will be run on cloud instances of R.
If you’re already advanced with R, it is still worth coming along to use and share what you know, to support others, and to learn something new.
(If you already have a dataset you want to work with – bring that too!)
A separate ticket is required to attend this masterclass. If you would like to attend but haven't yet purchased a ticket, please contact us at info@dataharvest.eu
Peer into the murky underworld of financial crime in this masterclass on how to detect corrupt practices and laundered bribes. Using practical examples, we will explore how to approach different types of corruption investigation and some of the key techniques and datasets you’ll need to develop these stories, including:
– Common origins of corruption and money laundering investigations
– Key sources of data and where to find them
– How to read the telltale signs of corruption and laundered kickbacks
– How to avoid the dangers and pitfalls of these types of investigation
While investigating corruption and money laundering can take a lifetime to master, this class will introduce you to the skills you need to hold the world’s rich and powerful to account. You’ll need a laptop and your brain!
A separate ticket is required to attend this masterclass. If you would like to attend but haven't yet purchased a ticket, please contact us at info@dataharvest.eu
Whether you’re investigating deforestation, (illegal) mining activities in nature-protected areas, or nature loss, QGIS is a great tool to add to your investigative toolkit. Participants will learn where to find different types of geospatial data, including satellite imagery from open sources, and how to open, visualize, and manipulate them using QGIS to reach their investigative goals. Participants will work on real data from previous investigations done by the Pulitzer Center’s Data and Research Team. No particular knowledge of QGIS is needed to participate in this masterclass, and it is suitable for those who have not used QGIS before or know only the basics. Before coming to the session, please install QGIS on your laptops and make sure it works. Download from: https://www.qgis.org/en/site/forusers/download.html
If you encounter issues during installation, this guide might be helpful: https://www.qgis.org/resources/installation-guide/
A separate ticket is required to attend this masterclass. If you would like to attend but haven't yet purchased a ticket, please contact us at info@dataharvest.eu
How do you find people and information online, verify an event’s geolocation, detect AI deepfake images and audio, or identify disinformation? This masterclass will help you identify the best OSINT tools and methods to help you in your investigations.
A separate ticket is required to attend this masterclass. If you would like to attend but haven't yet purchased a ticket, please contact us at info@dataharvest.eu
R is one of the most useful programming languages in data journalism. You may have heard of it, maybe even tried it a little and found the learning curve too steep. If so, this session is for you.
We are going to spend the day looking at European Environment Agency’s EPRTR (European Pollutant Release and Transfer Register) data – it’s a lot of data, and some of it is quite messy. It contains dozens, probably hundreds, of potential lines of investigation to be explored – and that’s what we’re going to do.
By the end of the day, you will know how to import data in an R environment, filter it, reshape it, and interrogate it. You will be able to make some basic graphs. Above all, you will be on the way to finding stories in the day’s chosen data, and be able to take your script away and use it again, or adapt it to other datasets.
We will assume that you are familiar with spreadsheets, but that you have no knowledge of R. You will not need to install anything – everything will be run on cloud instances of R.
If you’re already advanced with R, it is still worth coming along to use and share what you know, to support others, and to learn something new.
(If you already have a dataset you want to work with – bring that too!)
A separate ticket is required to attend this masterclass. If you would like to attend but haven't yet purchased a ticket, please contact us at info@dataharvest.eu
Peer into the murky underworld of financial crime in this masterclass on how to detect corrupt practices and laundered bribes. Using practical examples, we will explore how to approach different types of corruption investigations and some of the key techniques and datasets you’ll need to develop these stories, including:
– Common origins of corruption and money laundering investigations
– Key sources of data and where to find them
– How to read the telltale signs of corruption and laundered kickbacks
– How to avoid the dangers and pitfalls of these types of investigation
While investigating corruption and money laundering can take a lifetime to master, this class will introduce you to the skills you need to hold the world’s rich and powerful to account. You’ll need a laptop and your brain!
A separate ticket is required to attend this masterclass. If you would like to attend but haven't yet purchased a ticket, please contact us at info@dataharvest.eu
If you’re investigating deforestation, (illegal) mining activities in nature-protected areas, or nature loss, QGIS is a great tool to add to your investigative toolkit. Participants will learn where to find different types of geospatial data, including satellite imagery from open sources, and how to open, visualize, and manipulate them using QGIS to achieve investigation goals. Participants will work on real data from previous investigations done by the Pulitzer Center’s Data and Research Team. No particular knowledge of QGIS is needed to participate in this masterclass, and it is suitable for those who have not used QGIS before and those who know only the basics. Before coming to the session, please install QGIS on your laptops and make sure it works. Download from: https://www.qgis.org/en/site/forusers/download.html
If you encounter issues during installation, this guide might be helpful: https://www.qgis.org/resources/installation-guide/
A separate ticket is required to attend this masterclass. If you would like to attend but haven't yet purchased a ticket, please contact us at info@dataharvest.eu
How do you find people and information online, verify an event’s geolocation, detect AI deepfake images and audio, or identify disinformation? This masterclass will help you identify the best OSINT tools and methods to help your investigations.
A separate ticket is required to attend this masterclass. If you would like to attend but haven't yet purchased a ticket, please contact us at info@dataharvest.eu
How do you find people and information online, verify an event’s geolocation, detect AI deepfake images and audio, or identify disinformation? This masterclass will help you identify the best OSINT tools and methods to help your investigations.
A separate ticket is required to attend this masterclass. If you would like to attend but haven't yet purchased a ticket, please contact us at info@dataharvest.eu
R is one of the most useful programming languages in data journalism. You may have heard of it, maybe even tried it a little and found the learning curve too steep. If so, this session is for you.
We are going to spend the day looking at European Environment Agency’s EPRTR (European Pollutant Release and Transfer Register) data – it’s a lot of data, and some of it is quite messy. It contains dozens, probably hundreds, of potential lines of investigation to be explored – and that’s what we’re going to do.
By the end of the day, you will know how to import data in an R environment, filter it, reshape it, and interrogate it. You will be able to make some basic graphs. Above all, you will be on the way to finding stories in the day’s chosen data, and be able to take your script away and use it again, or adapt it to other datasets.
We will assume that you are familiar with spreadsheets, but that you have no knowledge of R. You will not need to install anything – everything will be run on cloud instances of R.
If you’re already advanced with R, it is still worth coming along to use and share what you know, to support others, and to learn something new.
(If you already have a dataset you want to work with – bring that too!)
A separate ticket is required to attend this masterclass. If you would like to attend but haven't yet purchased a ticket, please contact us at info@dataharvest.eu
Peer into the murky underworld of financial crime in this masterclass on how to detect corrupt practices and laundered bribes. Using practical examples, we will explore how to approach different types of corruption investigations and some of the key techniques and datasets you’ll need to develop these stories, including:
– Common origins of corruption and money laundering investigations
– Key sources of data and where to find them
– How to read the telltale signs of corruption and laundered kickbacks
– How to avoid the dangers and pitfalls of these types of investigation
While investigating corruption and money laundering can take a lifetime to master, this class will introduce you to the skills you need to hold the world’s rich and powerful to account. You’ll need a laptop and your brain!
A separate ticket is required to attend this masterclass. If you would like to attend but haven't yet purchased a ticket, please contact us at info@dataharvest.eu
If you’re investigating deforestation, (illegal) mining activities in nature-protected areas, or nature loss, QGIS is a great tool to add to your investigative toolkit. Participants will learn where to find different types of geospatial data, including satellite imagery from open sources, and how to open, visualize, and manipulate them using QGIS to achieve investigation goals. Participants will work on real data from previous investigations done by the Pulitzer Center’s Data and Research Team. No particular knowledge of QGIS is needed to participate in this masterclass, and it is suitable for those who have not used QGIS before and those who know only the basics. Before coming to the session, please install QGIS on your laptops and make sure it works. Download from: https://www.qgis.org/en/site/forusers/download.html
If you encounter issues during installation, this guide might be helpful: https://www.qgis.org/resources/installation-guide/
