S3: Economia politică a datelor mari/Political economy of Big Data


Număr de credite: 7
Cod: AME0153
Predare: curs 2h
Limba de predare: engleză
Tip: curs principal, semestrul 3, Masteratul Analiza Datelor Complexe, Masteratul Cercetări Sociologice Avansate

Irina Culic
profesor universitar doctor
Facultatea de Sociologie și Asistență Socială
Universitatea Babeş-Bolyai
E-mail: irina.culic@ubbcluj.ro


  1. Conceptul de date mari (Big Data) și istoria lor socială. Preistoria datelor mari.
  2. Materialitatea datelor mari. Puncte de colecție: captură, stocare, curățare, acces, investigare, distribuire, împărțire, securizare, transfer.
  3. Analitica datelor și algoritmi. De la conținut și proces cauzal la forme și configurații. Date mari ca analitică predictivă. De la practica cunoașterii la control operațional, sisteme distribuite și dispozitive de piață.
  4. Relația istorică risc personal – automatică – profit comercial – rețele distribuite – tehnologizare. Incertitudinea vieții transformată în cost economic și capitalismul corporat.
  5. Date mari în economie și finanțe. Politica creditelor de consum și a altor instrumente financiare care folosesc date mari.
  6. Date mari în funcționarea statului, guvernare și securitate. Noțiunea de risc și logica subvertită a utilizării datelor persoanelor. Subvertirea noțiunii de cetățenie.
  7. Știință, cunoaștere și date mari. Exemple din medicină, biologie, genetică, geografie.
  8. Date mari și politica persoanei: comerțul pe internet și modelarea algoritmică a prețurior, preferințelor, nevoilor, informațiilor, contextului, conținutului, dorinței. Sisteme de înregistrare și supraveghere.
  9. Cuantificări, evaluări, clasificări: sistemul educațional contemporan și efectul datelor mari asupra sa.
  10. Sisteme distribuite auto-reglementate, algoritmi și puncte difuze de control. Noi forme de business: crowdsourcing; uber; airbnb, google everything.
  11. Viitorul datelor mari și forme ale noului capitalism.


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Metode de evaluare

  • 50% – 50 %  2 teste bibliografice și critice scrise în clasă

Criterii de evaluare:

  • Însușirea noțiunilor și parcurgerea lecturilor obligatorii, argumentație logică și coerență în exprimare, precizie în redare și interpretarea datelor de toate felurile asociate cu big data.

Obiective generale

  • La finalul cursului studenții vor avea o înțelegere complexă a modului în care datele mari structurează și organizează procesele sociale contemporane.

Obiective specifice

  • Studenții vor fi capabili să identifice modul de colecție, stocare și utilizare a datelor mari în diferite domenii ale vieții contemporane cum sunt educația, statul-securitatea-relațiile internaționale-cetățenia, domeniul economic-finanțe-bănci-credit de consum, spațiul virtual și rețelele auto-generate de cooperare.