The EUVOX team consists of researchers with a background in political science, computer science, psychology, and communication and are members of either Kieskompas and PreferenceMatcher, two organizations have considerable experience in designing and implementing voting advice applications as they have developed more than 45 different voting advice applications (VAAs) in more than 40 countries between 2006 and 2013 that have been used by millions of citizens. The EUVOX team is at the forefront of methodological innovation regarding the design of VAAs and anaysis of VAA-generated data as evident by the team’s scholarly output below.

Agathokleous, M., Tsapatsoulis, N. (2013) Voting Advice Applications: Missing value estimation using matrix factorization and collaborative filtering. IFIP Advances in Information and Communication Technology, Volume 412, pp 20-29.

Arian, A., Krouwel, A.P.M., Pol, M., Ventura, R. (2010). The Election Compass: Party profiling and voter attitudes. In A. Arian & M. Shamir (Eds.), The Elections in Israel 2009. New Jersey, USA: Transaction Books, pp. 275-298.

Baka, A., Figgou, L., Triga, V., (2012) ‘Neither agree, nor disagree’: A critical analysis of the middle answer category in Voting Advice Applications. International Journal of Electronic Governance, 5: 244-263.

Garcia, D., Mendez, F., Serdült, U., Schweitzer, F. (2012) Political polarization and popularity in online participatory media: an integrated approach. Proceedings of the 21st ACM International Conference on Information Knowledge Management.

Gemenis, K. (2013) Estimating parties’ policy positions through voting advice applications: Some methodological considerations. Acta Politica, 48: 268-295.

Gemenis, K., Van Ham, C. (Forthcoming) Comparing methods for estimating parties’ positions in Voting Advice Applications, in: Marschall, S., Garzia, D. (Eds.), Matching Voters with Parties and Candidates. ECPR Press.

Germann, M., Mendez, F., Wheatley, J., & Serdült, U. (2014). Spatial maps in Voting Advice Applications: The case for dynamic scale validation. Acta Politica, doi: 10.1057/ap.2014.3

Katakis, I., Tsapatsoulis, N., Mendez, F., Triga, V., Djouvas, C. (2013) Social Voting Advice Applications: Definitions, challenges, datasets and evaluation. IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2013.2279019

Katakis, I., N. Tsapatsoulis, V. Triga, C. Tziouvas, F. Mendez (2012). Clustering Online Poll Data: Towards a Voting Assistance System. Proceedings of the 7th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP’12), Luxembourg, doi: 10.1109/SMAP.2012.19

Krouwel, A.P.M., Elfrinkhof, A.M.E. van (2013). Combining strengths of methods of party positioning to counter their weaknesses: the development of a new methodology to calibrate parties on issues and ideological dimensions. Quality and Quantity, doi: 10.1007/s11135-013-9846-0

Krouwel, A.P.M., Vitiello, T., Wall, M.T. (Forthcoming) Helping voters to vote? Dynamics created by VAAs in election campaigns between parties, voters and medi a, in: Marschall, S., Garzia, D. (Eds.), Matching Voters with Parties and Candidates. ECPR Press.

Krouwel, A.P.M., Wall, M.T., Vitiello, T. (2012). The practicalities of issuing vote advice: A new methodology for profiling and matching. International Journal of Electronic Governance, 5: 223-243.

Krouwel, A.P.M., Wall, M.T. (Forthcoming). From text to political positions: Constructing visualisations of political systems from text, in: Kaal, B., Maks, I., van Elfrinkhof, A. (Eds.), From text to political positions. Benjamin Press.

Marzuca Perera, A., Serdült, U., and Welp, Y. (2011) Questão Pública: First Voting Advice Application in Latin America, in: Tambouris, E., Macintosh, A., de Bruijn, H. (Eds.) Electronic Participation: Third IFIP WG 8.5 International Conference, ePart 2011, Delft, The Netherlands, August 29 – September 1, 2011 Proceedings [Lecture Notes in Computer Science 6847]. Heidelberg, Springer, pp. 216-227.

Mendez, F. (2012) Matching voters with political parties and candidates: An empirical test of four algorithms. International Journal of Electronic Governance, 5: 264-278.

Mendez, F. (Forthcoming) What’s behind a matching algorithm: A critical assessment of how VAAs produce voting recommendations, in: Marschall, S., Garzia, D. (Eds.), Matching Voters with Parties and Candidates. ECPR Press.

Mendez, F., Wheatley, J. (Forthcoming) Mapping political parties in the ideological space with VAA data: A methodological primer, in: Marschall, S., Garzia, D. (Eds.), Matching Voters with Parties and Candidates. ECPR Press.

Triga, V. (Forthcoming) What is a VAA and how is it perceived by its users? A comparative analysis of citizens’ representations of VAAs, in: Marschall, S., Garzia, D. (Eds.), Matching Voters with Parties and Candidates. ECPR Press.

Triga, V., Serdült, U., and Chadjipantelis, T., (2012) Introduction: Voting Advice Applications and the State of the Art. International Journal of Electronic Governance, 5: 194-202.

Wall, M., Krouwel, A., Kleinnijenhuis, J. (2012). Political Matchmakers: How do the decision rules employed by Vote Advice Application Sites influence their advice? In: ELECDEM Conference proceedings. pp. 28-30.

Wall, M., Krouwel, A., Vitiello, T. (2012) Do voters follow the recommendations of voter advice application websites? A study of the effects of on its users’ vote choices in the 2010 Dutch legislative elections. Party Politics, doi: 10.1177/1354068811436054.

Wheatley, J (2012) Using VAAs to Explore the Dimensionality of the Policy Space: Experiments from Brazil, Peru, Scotland and Greece. International Journal of Electronic Governance, 5: 318-348.

Wheatley, Jonathan, Christopher Carman, Fernando Mendez, and James Mitchell. (2012) The Dimensionality of the Scottish Political Space: Results from an Experiment on the 2011 Holyrood Elections. Party Politics, doi: 10.1177/135406881245861