There are several research projects which are taking place, involving oerations research tools with big data.

High speed rail and airport catchment areas
One of the goals the European Union has declared in the white paper “European transport policy for 2010: time to decide” is to reduce car travel and to encourage passengers to switch to more sustainable modes of transport. For medium-long distance trips of around 300 to 700km, the target mode is high speed rail for which the network has been expanding over the last two decades although air travel is also a significant player.  A crucial element that enhances high speed rail and air travel choice is reasonable accessibility to train stations and airports from residential centres. Estimating catchment areas are problematic, generally relying on simplistic assumptions with respect to spatial GIS data or sparse, inaccurate survey data. In this research, we present a methodology for the estimation of catchment areas based on the analysis of data generated from personal mobile devices. Anonymized mobile phone records are combined with data from the Google Maps Directions API and other sources to reconstruct trips and estimate the modal share of multiple modes applied to trips between the Madrid and Catalonia regions in Spain.

Motivating Air Navigation Service Provider Performance
The ownership form of Air Navigation Service Providers varies across countries ranging from state agencies belonging to the Department of Transport, to government-owned corporations, to semi-private firms with for-profit or not-for-profit mandates. This research focusses on the link between the performance of ANSPs and their ownership form while using stochastic frontier analysis estimation of the production and cost functions of air navigation service providers.

The Role of Different Word-of-Mouth Channels in the Diffusion of New Digital Products
One of the challenges in the entrepreneurship world is to be able to make your product stand out above others and to prompt maximal adoption by potential users. Social interactions and Word-of-Mouth (WOM) in particular have long been recognized as one of the key factors driving adoption of new products. However, the influence of different WOM channels (e.g., peer-to-peer communication, broadcast, online communication) on adoption is not yet fully understood. The emergence of online social networks yields massive and unprecedented detailed observations that offer insight into variety of social interactions. In this research, we leverage such data to contribute to our understanding of the roles of WOM processes and its different channels in purchasing decisions and use of novel products. Consequently, we would be able to develop the optimal investment in the different WOM channels to boost the adoption of new products.

The Impact of Tagging (Un)Verified Reviews: A Large-Scale Natural Experiment
Modern eCommerce platforms offer consumers access to rich user-generated information that enable them to make educated decisions about product consumption. A wealth of prior research indicates that this strategy contribute a lot of value to the platforms as product reviews significantly affect product adoption. Yet, nowadays potential consumers are regarding reviews with a grain of salt because genuine reviews are mixed with biased, fake, promoted and in general - low quality reviews. In the last couple of years, eCommerce platforms tried to fight unwanted reviews to improve the experience of the consumers and to validate the reviews and the platform. One of the way they did it was to make changes to the reviews system. However, while these changes are focusing on improving the experience of the consumers, they could affect potential reviewers’ behaviors as well and create unintended consciences. In this work we explore the impact of a sudden policy change in the reviews system that differentiate verified and unverified reviews. We study how this change had affected the reviewers populations and consequent consumption of tens of thousands of digital products sold on the world largest PC gaming platform.