(Italiano) Crowd4SDG PoliMi Publications

  • Carlo Bono, Mehmet Oguz Mülâyim, Cinzia Cappiello, Mark Carman,
    Jesus Cerquides, Jose Luis Fernandez-Marquez, Rosy Mondardini,
    Edoardo Ramalli, Barbara Pernici, A Citizen Science approach for analysing social media with crowdsourcing, IEEE Access, 2023 link https://ieeexplore.ieee.org/document/10041135
  • G. Scalia, C. Francalanci, B. Pernici, CIME: Context-aware geolocation of emergency-related posts, Geoinformatica, 2022 link
  • Bono, Carlo A., Mehmet Oğuz Mülâyim, and Barbara Pernici. Learning early detection of emergencies from word usage patterns on social media. IFIP WG5.15 Working Conference on Information Technology for Disaster RIsk Reduction, Norway, Oct. 2022 link
  • Bono, Carlo, Barbara Pernici, Jose Luis Fernandez-Marquez, Amudha Ravi Shankar, Mehmet Oğuz Mülâyim, and Edoardo Nemni. “TriggerCit: Early Flood Alerting using Twitter and Geolocation–a comparison with alternative sources.” ISCRAM, Tarbes, May 2022 link.
  • Bono, Carlo, Barbara Pernici, Extracting Large Scale Spatio-Temporal Descriptions from Social Media, SEBD 2022, Tirrenia, Italy, June 2022
  • Olimpia Rivera, Juan Felipe Calderon, Paul Planchon, Barbara Pernici, Evaluating the impact of floods on gender equality from social media evidence, 2nd AISWN International Research Workshop on Women IS and Grand Challenges @ICIS, Dec. 2021
  • V. Negri, D. Scuratti, S. Agresti, D. Rooein, G. Scalia, J.L. Fernandez-Marquez, A. Ravi Shankar, M. Carman and B.Pernici, Image-based Social Sensing: Combining AI and the Crowd to Mine Policy-Adherence Indicators from Twitter, ICSE. Track Software Engineering in Society, May 2021 video link to paper 
  • Datasets for Crowd4SDG-VisualCit COVID-19 behavioral indicators in the above paper link
  • Barbara PerniciFrancesca RattiGabriele Scalia,  About the Quality of Data and Services in Natural Sciences. Next-Gen Digital Services 2021: 236-248 link
  • Barbara Pernici, CROWD4SDG: Crowdsourcing for sustainable developments goals, 248-253, in Book of Short Papers, SIS 2020, Pearson, 2020 (link)
  • S. Geisler, M.-E. Vidal, C. Cappiello, B. Farias Lóscio, A. Gal, M. Jarke, M. Lenzerini, P. Missier, B. Otto, E. Paja, B. Pernici, J. Rehof, Knowledge-driven Data Ecosystems Towards Data Transparency, accepted for publication on ACM Journal of Data and Information Quality, 2021 https://arxiv.org/abs/2105.09312