Registration for the 2nd BPC Webinar is now open!

Inside the BDVA webinar series, the 2nd BPC webinar will take place on the 14th of May at 12:00. This time, Francesco Mureddu, from The Lisbon Council, will present a series of research challenges for the use of big data in policy making. Each research challenge is classified in one of the following research clusters:

Privacy, transparency and trust. A robust governance is crucial. Even more than with traditional IT architectures, Big Data requires systems for determining and maintaining data ownership, data definitions, and data flows. Big Data and the Internet of Things offers unprecedented opportunities to monitor processes that were previously invisible. In addition, the detail and volume of the data stored raises the stakes on issues such as data privacy and data sovereignty.

Data acquisition, cleaning and recording. The appropriateness of any Big Data source for decision-making should be made clear to users. Any known limitations of the data accuracy, sources, and bias should be readily available, along with recommendations about the kinds of decision-making the data can and cannot support.

Data clustering, integration and fusion. Combination and meaning extraction of big data stemming from different data sources to be repurposed for another goal. This requires the composition of teams that combine to types of expertise: data scientists, which can combine different datasets and apply novel statistical techniques; domain experts, that help know the history of how data were collected and can help in the interpretation.

Modelling and analysis with big data. Understanding the present through data is often not enough and the impact of specific decisions and solutions can be correctly assessed only when projected into the future. Hence the need of tools allowing for a realistic forecast of how a change in the current conditions will affect and modify the future scenario.

Data visualisation. Making sense and extract meaning of data can be achieved by placing them in a visual context: patterns, trends and correlations that might go undetected in text-based data can be exposed and recognized easier with data visualisation software. This is clearly important in a policy making context, in particular when considering the problem setting phase of the policy cycle and the visualisation of the results of big data modelling and analysis.

This presentation will help to understand the Big Policy Canvas Roadmap for Future Research Directions in Data-Driven Policy Making, whose aim is to put forward the different research and innovation directions that should be followed in order to reach the anticipated vision for making the public sector a key player in tackling societal challenges through new data-driven policy-making approaches

Besides, we will count with the participation of Anne Fleur van Veenstra, senior research scientist of ICT Policy at TNO’s Strategy & Policy department, who will present how data-driven policy making can be used in the context of a Policy Lab, an experimental environment in which stakeholders collaborate to develop and test policy. Don’t miss it and register now!


Big data