F4SG 2021

2nd International Workshop on Forecasting for Social Good

June 30th - July 1st, 2021   |   Kedge BS   |   Bordeaux, France

F4SG 2021: The 2nd International Workshop on Forecasting for Social Good follows the success of F4SG 2018 and the International Journal of Forecasting's special issue on Forecasting for Social Good.

While there is a growing recognition by agencies, organizations, and governments that data-driven decision making tools, like forecasting models, can offer significant improvements to the societies they are working to improve, there is not a cohesive body of research that offers guidance on how to best implement, understand, use, and evaluate forecasting methods for societal impact in practice. Furthermore, the research on forecasting for social good has been relatively slow and sporadic, both in academic publications and practical applications. The goal of this workshop is thus to improve the research and practice in issues related to forecasting for social good by: facilitating interactions between practitioners, researchers, and policy makers to develop a cohesive and sustainable network of international collaborations with a focus on issues related to forecasting for social good; promoting the development of new methodology and metrics to address the specific challenges related to forecasting for social good; providing professional development to policy makers; gaining a better understanding of the available data, challenges in data acquisition, and the uncertainty present in the data used to produce forecasts; and, addressing the ethical issues related to the use of forecasting methods for problems that impact society.

The F4SG has a special focus on facilitating the professional growth of early career faculty, postdocs, and students who will likely play a leading role in the field of forecasting for social good in the coming years.

CALL FOR SUBMISSIONS

We invite abstract submissions for oral and poster presentations concerning Forecasting for Social Good.

If you would like to organise a special session or a panel, please contact: Bahman Rostami-Tabar (rostami-tabarB@cardiff.ac.uk)

Relevant topics include (but are not limited to):

Health and Healthcare
Wellbeing
Humanitarian and disaster relief operations
Agriculture
Education

Social Services
Poverty
Homelessness
Inequality
Sustainability

Environment
Transportation
Fraud, collusion, and corruption
Government
Public safety, criminal justice, and security

Abstracts on academic forecasting research and practice oriented applications in forecasting are welcome. Submit your abstract through EasyChair:


Important Dates:

Submission deadline:  March 20, 2021 
Notification to authors:  March 27, 2021
Registration deadline:  April 15, 2021
Conference:  June 30th-July 1st, 2021

Publication Opportunities:

Accepted abstracts will be invited to submit an extended full paper of their work for a special section of the International Journal of Forecasting and Supply Chain Forum: An International Journal. This will be an ideal venue for authors to publish an extended full paper on the work they present at F4SG 2021.

KEYNOTE & INVITED SPEAKERS

Keynote Speakers

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Spyros Makridakis Professor and Director of the Institute for the Future (IFF)
University of Nicosia

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Laura Albert Professor of Industrial & Systems Engineering
University of Wisconsin-Madison

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Nicholas Reich Associate Professor of Biostatistics
University of Massachusetts-Amherst

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Leonardo Milano Predictive Analytics Team Lead
Centre for Humanitarian Data, United Nations Office for the Coordination of Humanitarian Affairs (OCHA)

Invited Speakers

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Stéphane Thonney Logistics Country Manager
INTERNATIONAL COMMITTEE OF THE RED CROSS

PROGRAM

The Computational Science of Real-time Influenza Forecasting

Nicholas Reich, University of Massachusetts-Amherst

Seasonal influenza outbreaks cause substantial annual morbidity and mortality worldwide. Accurate forecasts of key features of influenza epidemics, such as the timing and severity of the peak incidence in a given season, can inform public health response to outbreaks. As part of ongoing efforts to incorporate real-time data and advanced computational methods into public health decision-making, the United States Centers for Disease Control and Prevention (CDC) has organized real-time seasonal influenza forecasting challenges since 2013. This talk will summarize the recent collaborative efforts by the FluSight Network consortium to improve real-time forecast accuracy through multi-model ensemble forecasting. We will discuss the process of building and evaluating ensemble approaches, each of which combines over 20 separate component model predictions into a single probabilistic forecast. During the Northern hemisphere winter influenza season, the forecasts from the FluSight Network are publicly reported by the CDC as part of an official weekly communication to inform health practitioners about seasonal influenza trends. Past forecasts are available via an interactive data visualization at http://flusightnetwork.io. This talk will highlight the interdisciplinary challenges in designing, implementing, evaluating, and communicating forecasts in a public health context.

Uncertainty in Medicine and in Medical Diagnosis

Spyros Makridakis, University of Nicosia

This paper discusses uncertainty in general and more specifically in medicine while focusing on that affecting medical diagnoses, the major source of medical errors and the leading source of malpractice claims. The paper consists of three parts. The first describes uncertainty and the reasons it is underestimated widely in most decision making settings. The second concentrates on the uncertainty of medical diagnoses and the reasons of its critical importance as it greatly affects medical errors. The last part considers possible solutions to correct the problem and reduce its negative consequences, with a critical emphasis on how to communicate diagnostic uncertainty and risks to patients and provide them with sufficient information to enable them to contribute effectively to decisions about their own treatment and consequently about the quality of their lives. In its conclusion, the paper emphasizes the need for an uncertainty revolution in medicine and suggests ways for materializing such revolution.
Public safety systems are government functions that aim to protect the welfare of the public from risks such as emergencies, crimes, and disasters. Public safety leaders and researchers have been studying how to design and operate public sector systems to manage risk for the last half a century. Although researchers have created a body of knowledge for supporting prescriptive and predictive decisions in the public sector, public safety leaders must continually adapt to address new risks in budget-constrained environments. As a result, many research challenges remain.
Public sector applications are complex systems that span people, processes, vehicles, and critical infrastructure, where decisions are not made in isolation. Rather, decisions are interrelated, with every decision potentially affecting every other decision due to congestion, processing delays, capacities, and uncertainty about what can happen next. In this talk, Dr. Laura Albert will discuss her research that studies how to design and operate public sector systems using predictive and prescriptive analytics. She will discuss how she has connected application to theory in public sector applications in the United States ranging from emergency medical services and critical infrastructure protection. She will also discuss policy insights as well as insights obtained from putting the results into practice in real world settings.

Anticipating humanitarian crises to respond earlier, saving and protecting more lives

Leonardo Milano, United Nations Office for the Coordination of Humanitarian Affairs (OCHA)

Although predictive analytics is not a new field, its application in humanitarian response has only just begun. The increasing availability of data from a variety of sources, together with advancements in statistics and machine learning, is generating a growing interest in using models to gain insight and trigger anticipatory action. Using data science to anticipate humanitarian crises represents a great opportunity for organizations to respond earlier, saving and protecting more lives than ever before. The Centre for Humanitarian Data of the United Nations Office for the Coordination of Humanitarian Affairs is focusing its efforts so that the humanitarian system can reliably use models to trigger action.

VENUE

KEDGE Business School - Bordeaux campus
680 cours Libération
33405 Talence - France

Travel to KEDGE:

Tram: If you wish to take the tram to go to KEDGE, you will have to take tram B from Bordeaux city centre (20 minutes). The closest Tram stop to KEDGE is “Doyen Brus”. Trams run every 5 to 10 minutes on weekdays, however, as the tram might be crowded in the morning, plan to arrive at KEDGE early. A one-way ticket costs 1.70 € and you will find automatic machines at each tram stop.
Bus: You can also take the bus lines 10, 21 and 35 to reach KEDGE. The bus stop will be “Ecole de Management” and a one-way ticket will also cost 1,70€. As there is no automatic machines inside a bus, you will need to bring cash (coin preferably) to buy a ticket directly to the bus driver.

Accomodations:

Hotels close to Kedge Business School: Hotels in downtown Bordeaux: Youth hostel downtown Bordeaux:
  • Auberge de Jeunesse de Bordeaux, 22 Cours Barbey , 33800 Bordeaux, Phone : +33 5 56 33 00 70 (about 25€)
  • Hostel 20, 20 rue Borie, 33300 Bordeaux Phone : +33 6 65 52 16 80 (from 26€)
  • Central hostel, 2 place St Projet, 33000 Bordeaux Phone : +33 5 57 59 97 28 (from 41€)
Cheap hotels in Villenave d’Ornon:

Bordeaux:

REGISTRATION

Registration Fees:

Student/postdoc:  $75 (USD)
Academic/Non-Profit/Industry:  $150 (USD)

Students/postdocs are required to provide a proof for the reduced rate and email it to the general chair.

Five travel grants are available for PhD students. Please contact the general chair if you would like to apply.

ORGANIZERS & SPONSORS

Organizing Committee:

General Chair:   Dr. Bahman Rostami-Tabar (Cardiff University)
Dr. Michael Porter (University of Virginia)
Prof. Zied Babai (Kedge Business School)
Scientific Chair:   Prof. Aris Syntetos (Cardiff University)
Prof. Rob Hyndman (Monash University)
Prof. Nezih Altay (DePaul University)
Dr. Klaus Ackermann (Monash University)
Dr. Bahman Rostami-Tabar (Cardiff University)
Prof. Zied Babai (Kedge Business School)
Dr. Michael Porter (University of Virginia)
Publication Chair:   Dr. Bahman Rostami-Tabar (Cardiff University)
Prof. Zied Babai (Kedge Business School)
Dr. Michael Porter (University of Virginia)
Prof. Pierre Pinson (IJF Editor in Chief, Technical University of Denmark)

Sponsors:


Contact:

rostami-tabarB@cardiff.ac.uk