Author: mchserrano

Trapecista en paro

New publication on the use of AI for marketing (California Management Review)

Posted on by mchserrano

Authors from US, the Netherlands, and Spain have published a practical guide for the adoption of AI technologies in Marketing, following the data science standard CRISP-DM. The paper was published in California Management Review (CMR) in July 2019, one of the most relevant publications in management (impact factor of 5.0).

CMR also published a blog entry about the publication and a brilliant promo video:

Main steps for developing and integrating an AI DSS for Word-of-mouth campaigns

In a nutshell, the authors point out that artificial intelligence works best when it is applied in careful steps:

  1. Define a clear business objective.
  2. Collect and sort an enormous amount of raw data.
  3. Choose the data for your project, and organize it into a digitally digestible format.
  4. Create a program that models how a human would use this data to reach the business objective defined in step one.
  5. Evaluate the outcome to see if the AI application has met the objective defined in step one.
  6. Deploy the AI application.

Evolutionary game theory for trust, our new research in IEEE Tran. on Ev. Computation

Posted on by mchserrano

The results of our study on the use of evolutionary game theory with social networks for promoting trust in connected populations of individuals were just published by the prestigious IEEE Transactions on Evolutionary Computation, the highest ranked journal in Computer Science in the world (impact factor of 10.629).

network_trust_example_improved

Massive media coverage about our study on the 11M terrorist attacks and elections’ influence

Posted on by mchserrano

The results of our paper, recently published in the Knowledge-based Systems journal, have appeared in many Spanish newspapers:

La Vanguardia
El Diario.es
El Economista
El dia.es
IDEAL
Noticias de Gipuzkoa

Government, politicians, and mass media generated a large quantity of information after the bombing attacks in Madrid on the 11th of March 2004. This information had two competing dimensions on the terrorist group responsible for the attacks: ETA and Al’Qaeda. The framing theory could explain how this information influenced the Spanish national elections on the 14th of March, three days after the attacks. We propose to analyze this political scenario using agent-based modeling to recreate the environment and framing effect of the three days prior to the elections. Using our model we define several experiments where we observe how media communications influence agent voters after calibrating the model with real data. These experiments are what-if scenarios where we analyze alternatives for mass media communication messages and word-of-mouth behaviors. Our results suggest that the framing effect affected the election results by influencing voters. These results also outline the aggregated impact of mass media channels and the different role of each party segment of voters during this period.

See also press release of Canal UGR

RTVE talks about EPOSBED project

Posted on by mchserrano

Eureka Spanish radio program talks about the EPOSBED project:

Es tecnología española para mejorar nuestra vida. Una cama articulada inteligente que permite que pacientes con movilidad reducida puedan dirigirla con leves movimientos de cabeza. Sin control remoto, sin necesidad de ayuda de un enfermero, a través de la presión, el software que incorpora interpreta las intenciones