################################################################################################################################################ ################################################################################################################################################ Data collected during the performance STEM4Youth: Games xBadalona in Badalona on April 19th and 20th, 2017. The participants played different dyadic behavioraul games, snowdrift game, dictator's games with punishment and trust game. The participants played these dilemmas in different roles. There were 6 experimental stations, one per individual, spatially distributed so that participants could not see each other. Also, they were rigorously prevented from talking or signaling one another. To further guarantee that potential interactions among players did not influence the results of the experiment, the assignment of players’ partners was completely random. All of the participants played through Citizen Social Lab, a web interface specifically developed for the experiment. The participants were shown a brief tutorial, but were not given any clue. They were informed that they had to make decisions under different conditions and against different opponents. We made sure the interface be the most simple and understandable to ensure the correct understanding of the tasks. Also, the interface was the same for everybody. We made sure to avoid the research be upsetting or harmful for the participants by presenting the experiment as a game and playful activity. One researcher closely monitored each session to guarantee the experimental protocol be strictly followed. Yet, the researchers provided help when required. All participants in the experiment signed an informed consent to participate and no association was ever made between their real names and the results, in agreement with the Spanish Law for Personal Data Protection. This procedure was approved by the Ethics Committee of Universitat de Barcelona, and all methods were performed in accordance with the relevant guidelines and regulations. The games was: 1. Snowdrift Game: 2 choices per participants, cooperation and expected cooperation with 3 different setups, one symmetric and two asymmetric. C D C 10/10 05/15 D 15/05 00/00 C D C 10/06 05/10 D 15/03 00/00 C D C 06/10 03/15 D 10/05 00/00 2. Dictator's Game with Punishment: Each individual played the two roles Dictator (D) and Punisher (P). Dictator choice (D): Keep [0..10] Punisher choice (P): Invest [0..5] Payoff Dictator: D-2*P Payoff Punisher: 5-P 3. Trust Game or Inversor's Game: Each participan played the two roles Investor (I) and Entrepreneur (E) Investor choice (I) = [0..10] Entrepreneur choice (E) = [0..100] Payoff Investor = (10-I)+ (I*3)*(E/100)) Payoff Entrepreneur = (I*3)*(1-(E/100)) The dataset is formed by 5 tables (each field is described below). session.csv, dictator.csv, snowdrfit.csv i trust.csv. 1. users.csv: data of valid users. 2. session.csv: data of each session. 3. dictator.csv: data collected of Dictator's Game 4. snowdrfit.csv: data collected of Snowdrift Game 5. trust.csv: data collected of Trust Game ################################################################################################################################################ The fields marked * are specified in the file survey QuestionsAnswersSurvey.xls 1. user.csv ------------------ Fields: id participant's identifier gender gender (M: Male F: Female) age* enquesta1 > pr2* employment* enquesta2 > pr1* civil_status* enquesta2 > pr2* studies* enquesta2 > pr3* residence postal_code postal code origin origin (Spain, Others) country country session_id session identifier ended game status (1: finished 0: non-finished) money_trust trust money money_snowdrift snowdrift money money_dictator dictator money money_total total money prfinal1 to prfinal13* post-survey* 2. session.csv ------------------ Fields: id session identifier comment comments about the session (experiment day) 3. dictator.csv ------------------ Fields: id choice identifier user_id user's identifier rival_id rival's identifier rol role (P: punisher, D: dictator) choices choice (P: [0-5], D: [0-10]) gain total score 4. snowdrift.csv ------------------ Fields: id choice identifier user_id user's identifier rol role (E: symmetric, A: advantage, D: disadvantage) rival_id rival's identifier guess guess (C: Cooperate, D: Defect) choice choice (C: Cooperate, D: Defect) gain total score 5. trust.csv ------------------ Fields: id: choice identifier user_id user's identifier rival_id rival's identifier rol role (E: Entrepreneur, I: Investor) choice choice (E: [0-100], I: [0-10]) gain total score