PUBLICATIONS

International Journals:

1. Salvatore C. & Moretti A. (2024). The Use of New Data Sources in Small Area Estimation of Attitudes towards Climate Change. The Survey Statistician,  Vol. 90, 30–37  Link 

2. Salvatore C., Biffignandi S., Sakshaug J., Wiśniowski A., Struminskaya B., (2023). Bayesian integration of probability and non-probability samples for logistic regression. Journal of Survey Statistics and Methodology, https://doi.org/10.1093/jssam/smad041 - Supplemented with a Shiny App

3. Salvatore C., Biffignandi S., Bianchi A., (2023). Augmenting Business Statistics Information by Combining Traditional Data with Textual Data: A Composite Indicator Approach, Metron 

4.  Salvatore C.  (2023). Inference with non-probability samples and survey data integration: a science mapping study. Metron, https://doi.org/10.1007/s40300-023-00243-6

5. Bianchi A.,  Salvatore C. & Biffignandi S. (2023). Using Social Media to Enhance Survey Data. The Survey Statistician,  Vol. 87, 27–34  Link 

6. Salvatore C., Biffignandi S. & Bianchi A. (2022). Corporate Social Responsibility Activities Through Twitter: From Topic Model Analysis to Indexes Measuring Communication Characteristics. Soc Indic Res. https://doi.org/10.1007/s11205-022-02993-8 

7. Salvatore C., Biffignandi S. & Bianchi A. (2021). Social Media and Twitter Data Quality for New Social Indicators. Soc Indic Res, 156, 601–630 https://doi.org/10.1007/s11205-020-02296-w 

Conference Proceedings:

8. Salvatore C., & Höhne, J.K. (2025). Explaining item-nonresponse in open questions with requests for voice responses. Book of Short Papers of the 53rd Scientific Meeting of the Italian Statistical Society 

9. Salvatore C., Biffignandi S. , Bianchi A. (2023). Smart Composite Indicators Measuring Corporate Sustainability: A Sensitivity Analysis.  Book of Short Papers of the 52nd Scientific Meeting of the Italian Statistical Society 

10. Salvatore C., Biffignandi S., Sakshaug J.W., Wisniowski A., Struminskaya B. (2022). A Bayesian approach for combining probability and non-probability samples surveys. Book of Short Papers of the 51st Scientific Meeting of the Italian Statistical Society - ISBN: 9788891932310

11. Salvatore C., Biffignandi S., Bianchi A. (2022). Assessing Corporate Social Responsibility Communication on Twitter: A Composite Indicator Approach. Proceedings of the 16th International Conference on Statistical Analysis of Textual Data (JADT22) - ISBN: 9791280153302

12. Salvatore C., Madonna A., Bianchi A., Boffelli A., Kalchschmidt M.G.M. (2022). Collaborate for what: a structural topic model analysis on CDP data. 4th International Conference on Advanced Research Methods and Analytics (CARMA2022) Universitat Politecnica de Valencia, Valencia, 2022 - http://dx.doi.org/10.4995/CARMA2022.2022.15074 

13. Salvatore C., Bianchi A., & Biffignandi S. (2020). Communicating Corporate Social Responsibility through Twitter: a topic model analysis on selected companies. 3rd International Conference on Advanced Research Methods and Analytics (CARMA2020) Universitat Politecnica de Valencia, Valencia, 2020 - http://dx.doi.org/10.4995/CARMA2020.2020.11646 

CONFERENCES AND WORKSHOPS

Invited talks:

1. Salvatore C., Bianchi A., Biffignandi S. (Dec 2023). Social media in survey research. 16th International Conference of the ERCIM WG on Computational and Methodologiacl Statistics (CMStatistics 2023), Berlin.

2. Salvatore C., Biffignandi S., Bianchi A. (Dec. 2022) Unstructured textual data and composite indicators construction . 15th International Conference of the ERCIM WG on Computational and Methodologiacl Statistics (CMStatistics 2022), London.

3. Salvatore C., Biffignandi S., Sakshaug J., A. WisniowskiJ., Struminskaya B. (June 2022) A Bayesian approach for combining probability and non-probability samples surveys. 51st Scientific Meeting of the Italian Statistical Society (SIS2022), Caserta, Italy.

4. Salvatore C., Biffignandi S., Bianchi A. (June 2022) Augmenting Information by combining Traditional Data with Textual Data. 7th Italian Conference of survey Methodology (ITACOSM2022), Perugia, Italy.

Contributed talks and posters:

5. Salvatore C., Biffignandi S. , Sakshaug J. , Wisniowski A. , Struminskaya B. (July 2023). Integrating probability and non-probability samples to improve analytic inference and reduce costs.  European Survey Research Association (ESRA2023), Milan, Italy.

6. Salvatore C., Biffignandi S. , Bianchi A. (July 2023). Social Media for Smart Surveys and Statistics.  European Survey Research Association (ESRA2023), Milan, Italy.

7. Salvatore C., Biffignandi S. , Bianchi A. (June 2023). Smart Composite Indicators Measuring Corporate Sustainability: A Sensitivity Analysis .  52nd Scientific Meeting of the Italian Statistical Society (SIS2023), Ancona, Italy.

8. Salvatore C., Biffignandi S. , Sakshaug J. , Wisniowski A. , Struminskaya B. (June 2023). Combining objective and subjective health measurements using a Bayesian approach .  8th Italian Conference of survey Methodology (ITACOSM2023), Cosenza, Italy.

9. Salvatore C., Biffignandi S. , Sakshaug J. , Wisniowski A. , Struminskaya B. (Jan. 2023). Bayesian Integration of Probability and Non-probability Samples for Analyzing Volunteering Behavior . 14th Interdisciplinary Ph.D. Workshop, "Perspectives on (Un-)Employment", Institute for Employment Research (IAB), Nuremberg, Germany.

10. Salvatore C., Biffignandi S. , Sakshaug J. , Wisniowski A. , Struminskaya B. (Oct. 2022) Bayesian survey integration for analytic inference: the logistic regression case (Poster). Bayesian Methods for the Social Sciences, Paris, France.

11. Salvatore C., Biffignandi S., Sakshaug J., A. WisniowskiJ., Struminskaya B. (Sept. 2022) Combining probability and non-probability samples for analytic inference: a Bayesian approach . General Online Research 2022 (GOR 22), Berlin, Germany.

12. Salvatore C., Biffignandi S., Bianchi A. (July 2022)  Assessing Corporate Social Responsibility Communication on Twitter: A Composite Indicator Approach . 16th International Conference on Statistical Analysis of Textual Data (JADT2022), Napoli, Italy - Winner of the 2022 VADISTAT - Per Simona Balbi Award.

13. Salvatore C., Madonna A., Bianchi A., Boffelli A., Kalchschmidt M. (June 2022)  Collaborate for what: a structural topic model analysis on CDP data. 4th International Conference on Advanced Research Methods and Analytics (CARMA2022), Valencia, Spain.

14. Salvatore C., (June 2022)  Inference for Non-probability Samples and Survey Data Integration: Mapping the Literature through Text Mining Approaches . 7th Italian Conference of survey Methodology (ITACOSM2022), Perugia, Italy.

15. Salvatore C., Biffignandi S., Sakshaug J., A. WisniowskiJ., Struminskaya B.(Dec. 2021)  A Bayesian approach for combining probability and non-probability samples for analytic inference . 14th International Conference of the ERCIM WG on Computational and Methodologiacl Statistics (CMStatistics 2021), Virtual conference.

16.  Salvatore C., Toninelli D., Cameletti M. and Schlosser S. (Aug. 2021) Impact of Tweets Pre-Processing Techniques on a Dictionary for Environment (Speed Talk). Joint Statistical Meetings (JSM), Virtual conference.

17. Salvatore C., Biffignandi S., Sakshaug J., Wisniowski A., Struminskaya B. (July 2021) Combining probability and non-probability samples by using informative priors in logistic regression (Speed Talk). VIBASS4 Workshop, Valencia, Spain.

18. Salvatore C., Biffignandi S., Bianchi A. (June 2020) Communicating Corporate Social Responsibility through Twitter: a topic model analysis on selected companies. 3rd International Conference on Advanced Research Methods and Analytics (CARMA2020), Virtual, Valencia, Spain.

19. Biffignandi S., Bianchi A., Salvatore C.(Feb. 2019) Social media data for social indicators: assessing the quality through case studies. Second international conference on data science and social research (DSSR19), Università degli studi di Milano-Bicocca, Milano.

20. Biffignandi S., Bianchi A., Salvatore C. (June 2018) Can Big Data provide good quality statistics? A case study on sentiment analysis on Twitter data. International Total Survey Error workshop (ITSEW 2018), Duke University, North Carolina.