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AI and Big Data A blueprint for a human rights and social and ethical impact ...
Building on studies of the collective dimension of data protection, this article sets out to embed this new perspective in an assessment model centred on human rights (Human... -
An ethico-legal framework for social data science
This paper presents a framework for research infrastructures enabling ethically sensitive and legally compliant data science in Europe. Our goal is to describe how to design... -
Accountability for the Use of Algorithms in a Big Data Environment
Accountability is the ability to provide good reasons in order to explain and to justify actions, decisions, and policies for a (hypothetical) forum of persons or... -
Algorithmic Accountability and Public Reason
The ever-increasing application of algorithms to decision-making in a range of social contexts has prompted demands for algorithmic accountability. Accountable decision-makers... -
A qualitative exploration of perceptions of algorithmic fairness
Algorithmic systems increasingly shape information people are exposed to as well as influence decisions about employment, finances, and other opportunities. In some cases,... -
Can Big Data Bridge Gaps in Migration Statistics
Traditional statistical data on international migration suffers from the problems (gaps) of inconsistency in definitions, differences in geographical coverages, absence of...-
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Social Network Analysis with Python
This set of tutorials provides an introduction to Social Network Analysis in Python with networkx. Topics covered: Introduction to NetworkX NDlib: Network Diffusion library...-
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Social Network Analysis
Social Network Analysis course @ Master SoBigData This course introduces students to the theories, concepts and measures of Social Network Analysis (SNA), that is aimed at...-
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A Learned Approach to Quicken and Compress Rank Select Dictionaries
We introduce the first “learned” scheme for implementing a compressed rank/select dictionary. We prove theoretical bounds on its time and space performance both in the worst... -
A Critical Reassessment of the Saerens-Latinne-Decaestecker Algorithm
We critically re-examine the Saerens-Latinne-Decaestecker (SLD) algorithm, a well-known method for estimating class prior probabilities (“priors”) and adjusting posterior... -
Ecological Niche Models for 8 Adriatic Sea commercial species based on remote...
This dataset analyses the potential habitat change, in 2020, of eight marine species with very high commercial importance in the Adriatic Sea: European hake (Merluccius... -
Private testing BfR connection
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Forecasting the Pufferfish Invasion
Predicting the silver-cheeked toadfish invasion of the Mediterranean Sea: An overall habitat suitability map and an effective geographical spread map for Lagocephalus...-
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Private CROP_SIMULATION_FOR_FIELD_V1_ID_6f8d5013 396d 4938 a56a ef08e614d75d
Runs a crop simulation for a single crop parcel. {Published by Rob Knapen (rob.knapen) on 2019/10/23 20:13 GMT} -
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Private CROP_SIMULATION_FOR_FIELD_V1_ID_063634db dc40 43ea b378 face0c66a192
Runs a crop simulation for a single crop parcel. {Published by Rob Knapen (rob.knapen) on 2019/10/23 20:13 GMT} -
Private CROP_SIMULATION_FOR_FIELD_V1_ID_43a9f471 9f95 4e6f bb75 360ebaded77d
Runs a crop simulation for a single crop parcel. {Published by Rob Knapen (rob.knapen) on 2019/10/23 20:13 GMT} -
NitrogenScrumLab_Examples_of_basic_data_retrieval_from_AgroDataCube
This Python notebook demonstrates how all kinds of crop field related data (for the Netherlands) can be retrieved from the AgroDataCube API.-
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NitrogenScrumLab_VRE_WPS_Examples
This Python notebook demonstrates how an algorithm published in DataMiner can be executed from the notebook and output files retrieved from the VRE Workspace.-
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Private NitrogenScrumLab_PDOK
Platform for Dutch spatial data.
