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EMbeDS 2019 Workshop

Data 26.11.2019 orario
Indirizzo

Piazza Martiri della Libertà, 33 , 56127 Italia

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Our world is characterized by globalization, financialization, deepening inequalities and mounting environmental issues. It is also characterized by a growing availability of massive, diverse datasets, and of increasingly sophisticated statistical and computational tools to gather and analyze them. EMbeDS overarching goal is to bring Economics and Management in the era of Data Science, leveraging data and tools to bridge the gaps that still exist between complex models, their empirical validation, and their use in policy.

The EMbeDS 2019 workshop will celebrate the first year of activity of the Department of Excellence with presentations by our new recruits, a variety of national and international scholars, and institutional and private sector stakeholders. Speakers will tackle a variety of topics including climate change and its impacts; sustainability; health care; methodological advances in modeling, computation and statistics; and legal and societal issues linked to the use of massive data and AI.

There is no fee for participating, but please register using the link below – so that we can keep an accurate count of participants and contact you with updates and additional information as needed HERE

 

EMbeDS 2019 DRAFT PROGRAM -- Nov 26-27, 2019 - Sant'Anna School of Advanced Studies 

Nov 26, 2019

(Aula 10 and Saletta Riunioni will be available for participants’ interactions throughout the day)

  • 8:45am-09:15am Registration (Atrio Aula Magna)

Morning: Introduction and presentations by EMbeDS recruits. Aula Magna 

  • 9:15am-09:30am Francesca Chiaromonte, EMbeDS Scientific Coordinator. A few words about EMbeDS.
  • 9:30am-11:00am EMbeDS recruits, Session I

              (Chair: Nicola Belle’)

Caterina Sganga, DIRPOLIS. Intellectual property and data ownership: balancing exclusivity and access.

Chiara Seghieri, Institute of Management. Assessing access, quality and equity of care using observational data: current research and future directions.

Andrea Vandin, Institute of Economics. Speeding up simulation of large-scale dynamical networks by aggregation (in remote).

  • 11:30am-01:00pm EMbeDS recruits, Session II

               (Chair: Alessandro Nuvolari)

Anna Maria Murante, Institute of Management. Co-producing services and health.

Francesco Lamperti, Institute of Economics. Climate risks in complex economies: are there opportunities beyond costs?

Paola Cantarelli, Institute of Management. Behavioral public management: A focus on work motivation in mission-driven jobs.

Daniele Giachini, Institute of Economics. Market Learning.  

Afternoon: Scientific sessions organized by young EMbeDS researchers. Aula Magna 

  • 2:00pm-03:30pm New perspectives on climate change economics and big data

       (Chairs: Matteo Coronese and Francesco Lamperti)

Guido Cervone, Department of Geography & Institute for Cyber Science. The Pennsylvania State University. Remote sensing target recognition using image spectroscopy and deep learning.

Simone Vantini, MOX - Department of Mathematics. Politecnico di Milano. Object-Oriented Data Analysis for Climate Change and Energy Economics.

Chiara Lo Prete, Department of Energy and Mineral Engineering. The Pennsylvania State University. California’s cap-and-trade program and emission leakage in the electricity sector: an empirical analysis.

(Klaus Keller, Department of Geosciences, the Pennsylvania State University, will join the discussion in remote)

  • 3:30pm-05:00pm The value of big data in healthcare

        (Chairs: Daniel Lungu and Anna Maria Murante)

Bin Yu, Departments of Statistics & Computer Science. University of California Berkeley. Iterative Random Forests (iRF) with applications to biomedical problems.

Francesca Ieva, Politecnico di Milano. The broken promise of Big Data in Healthcare and the new challenges of Health Analytics.

Till Beringhausen, Heidelberg Institute of Global Health. Title TBD (in remote)

  • 5:30pm-07:00pm Prediction, learning and inference: data science from theory to practice

(Chairs: Giorgio Tripodi and Daniele Giachini)

Nicolò Cesa-Bianchi, Dipartimento di Informatica e Data Science Research Center, Università degli Studi di Milano. Nonstochastic Bandit Problems on Graphs.

Michael Lechner, Swiss Institute of Empirical Economic Research, University of St. Gallen. Modified Causal Forests for Estimating Heterogeneous Causal Effects.

Christian Brownlees, Department of Economics and Business, Universitat Pompeu Fabra. Community detection in partial correlation networks models.  

Nov 27, 2019

(Aula 10 and Saletta Riunioni will be available for participants’ interactions throughout the day)

  • 9:45am-10:15am  Registration (Atrio Aula Magna

Morning: Keynote Public Lecture. Aula Magna 

  • 10:15am-10:30am Introduction – Sabina Nuti, Rector of Sant’Anna.
  • 10:30am-12:30am Bin Yu, Departments of Statistics & Computer Science. University of California Berkeley. Three principles of data science: predictability, computability and stability (PCS)

              (Chair: Andrea Mina)

Afternoon: Perspectives from institutional and private sector stakeholders. Aula Magna 

  • 2:00pm-04:30pm Perspectives from institutional stakeholders

       (Chair: Andrea Roventini)

Giovanni Felici, European Research Council Executive Agency, Physical Sciences and Engineering. European Research Council: past results and future opportunities.

Fosca Giannotti, Italian National Research Council (CNR). Human Centered AI, a European vision for trustworthy Artificial Intelligence.

Denise Amram, Sant’Anna School of Advanced Studies. Predictive Jurisprudence: an interdisciplinary project.

Paolo De Rosa, Italian Digital Team. Title TBD.

Aldo Ravazzi Douvan, Ministero dell’Ambiente. Title TBD.

  • 5:00pm-07:00pm Perspectives from private stakeholders

        (Chair: Fabio Iraldo)

Piero Altoè - Business Development Manager South-Europe and Middle-East, NVIDIA. Title TBD.

Paolo Carnevale, Executive Director, Fondazione ENI Enrico Mattei. Title TBD.

Antonio Pelliccia, Business Development Healthcare & Life Science, IBM Italia. AI in Healthcare & Life Science: examples and challenges.

Gian Luca Cattani, R&D Director and Member of Board of Directors, MAPS Group. Data Driven Governance: Combining Administrative and Clinical Information for a Better Healthcare.

  • 7:00pm-07:15pm Goodbyes. Francesca Chiaromonte, EMbeDS Scientific Coordinator.