The tentative schedule for ADA 2024 is as follows:

The keynotes will be held in Lecture Hall B of the Aalto University Undergraduate Centre (Otakaari 1).

Confirmed Oral Presentations (more will be announced later)

Behavioral Decision Making

Improving Collective Intelligence by Optimizing Group Composition
David Budescu, Cong Liu, Leah Feuerstahler

Generating Policy Alternatives for Decision Making: A Process Model, Behavioural Issues, and an Experiment
Raimo Hamalainen, Tuomas Lahtinen, Kai Virtanen

An approach for modelling interdependent actions in portfolio decision analysis and its application in a regional climate roadmap
Jyri Mustajoki, Juuso Liesiö, Miika Kajanus, Mika Marttunen

Utilization of Advice from Human-in-the-loop Systems
Alessandra Cillo, Canan Ulu, Emanuele Borgonovo, Alessandro Ortis, Sebastiano Battiato

Contextual Thinking in Behavioral Anomalies
Junyi Chai

Inverted Metricks: How Jensen’s Inequality Neglect Can Cause Projects to Run Over Time and Over Budget
Daniel Feiler, Jordan Tong

Forecasting

The Forecasting Proficiency Test: A Practical Forecaster Evaluation Tool
Mark Himmelstein, Sophie Ma Zhu, Nikolay Petrov, Ezra Karger, Amory Bennett, Philip E. Tetlock

Using Prediction Interval Skewness to Improve Forecast Accuracy
Yael Grushka-Cockayne, Victor Jose, Cem Peker, Jack Soll, Jacob Rittich

Decision-making with Ordinal Ratings
Jason Merrick, Yael Grushka-Cockayne, Cade Massey

Sports Betting Markets as Forecasters: Exploring Real-Time Price Data from Four Major Sports
Jay Simon

Enhancing Flood Prediction Through The Application Of Large Language Models – Case Studies In The UK, Scotland, And Japan
Maaz Bhatti, Jyrki Savolainen

Machine-Moderated Judgmental Forecasting to Improve Prediction Accuracy and Decision Making
Ville Satopaa, Asa Palley, Yael Grushka-Cockayne, Charles Persinger

Constructing Quantiles via Forecast Errors: A Bias-Variance Framework
Zhi Chen, Long Zhao

Comparison Between Linear Opinion Pool and Stacking
Xiaochuan Pang, Zhi Chen, Guowei Zhang, Long Zhao

Wisdom of Sequential Crowds: Quantile Forecast Aggregation With Learning and Updating
Majid Karimi, Arthur Carvalho

Utility Theories

A simple model for mixing intuition and analysis
Konstantinos Katsikopoulos, Luis Fuentes Garcia, Martin Egozcue

Source Theory: A Tractable and Positive Ambiguity Theory
Aurelien Baillon, Han Bleichrodt, Chen Li, Peter Wakker

Why Do People Discount? The Role of Impatience and Future Uncertainty
Enrico Diecidue

Spatial Decision Analysis with Location-Dependent Attribute Weights: Axiomatic Foundations and Incomplete Preference Information
Mikko Harju, Juuso Liesiö, Kai Virtanen

Portfolio Decision Analysis

Optimization Models for Cumulative Prospect Theory under Incomplete Preference Information
Juuso Liesiö, Peng Xu

Supporting the Development of a Robust, Market-Shaping Strategy with Scenario-Based Portfolio Decision Analysis: Case Study with Nordea
Eeva Vilkkumaa, Petri Rikkinen, Juuso Liesiö

Identifying Cost-Efficient Actions Portfolios to Improve the Reliability of Distribution Grids
Joaquín de la Barra, Ahti Salo, Mahdi Pourakbari-Kasmaei

Eliciting and Modelling Probabilities

The Metalog+: A Feasible and Universal Probability Distribution Family
Manel Baucells, Lonnie Chrisman, Thomas Keelin

Risk, Uncertainty and AI: Non‐probabilistic Methods for Anticipating and Preventing AI Risks
Alexander Gutfraind, Vicki Bier

Learning gap: Noisy signals as Experienced or Described information.
David Gonzalez Jimenez

Value of Information

Reassurance in information acquisition
Jeeva Somasundaram, Luc Wathieu

Constructing Ensemble Estimates for the Risk Averse Decision Maker
Andrea Hupman

On Some Definitions And Clarifications For The Value Of Information
Ali Abbas

The Shapley Value of Information
Emanuele Borgonovo, Francesca Beccacece, Margherita Cigola, Giovanni Rabitti

Multicriteria Decision Analysis

Value-driven Welfare Analysis: a multidimensional dominance approach and application to comparisons of European populations
Nikolaos Argyris, Lars Peter Østerdal, M. Azhar Hussain

An Innovative and Effective Approach for Determining the Most Critical Criteria When Additive MCDM Models Are Used
Evangelos Triantaphyllou, Juri Yanase

Compensation within the Outranking Approach PROMETHEE
Sebastian Schär, Jutta Geldermann

Interactive multi-objective optimization for supporting climate smart forestry
Juho Roponen

Should Data Derived from Pairwise Comparisons be Trusted? Perhaps not Much
Evangelos Triantaphyllou, Juri Yanase

Environmental Applications

The Consequences Of Connectivity: Using Structured Decision Making To Inform Fish Passage Decisions
Shane Flinn, Kelly Robinson

Decision analysis for building resilience, capacity, and understanding in riverine systems facing climate change
Kaili Gregory, Kelly Robinson, Dana Infante, Randall Claramunt, Justin Miller, Jared Ross

Exploring optimal forest management strategies – adapting optimization approaches to enable use of process-based landscape simulators
Kyle Eyvindson, Juha Honkaniemi, Katharina Albrich, Anna Repo

Game Theory and Dynamics

Game Theory, Data Analytics, and Homeland Security
Jun Zhuang

Designing Payment Models for the Poor
Sasa Zorc, Bhavani Shanker Uppari

Commitment and conflict in multilateral bargaining
Topi Miettinen, Christoph Vanberg

Judgment and Decision Making

Role of gender on start-up investors’ perception of uncertainty and risk
Onesun Yoo, Chia-Jung Tsay

Learning to Suppress: Decision Makers Can Learn to Treat Irrelevant Information as Suppressor Variables Using the MCPL Paradigm
Hagai Rabinovitch, David V. Budescu, Yoella Bereby-Meyer

Preferences for Wealth Distributions in the Presence of Group Structure
Stefano Balietti, Rupert Freeman

Utilizing ludic pedagogy to introduce decision analysis concepts
Trent Tucker

From Point Predictions to Probabilistic Aggregate: A Novel Variational Bayes Approach to Harnessing the Wisdom of the Crowd
Yanwei Jia, Jussi Keppo, Ville Satopaa

Understanding the Mental Simulation in Risk Decisions with Operational Data Based on Causal Discovery
Tong Deng, Chen Wang

Cognitive and Motivational Determinants of Normalcy Bias
Robin Dillon-Merrill, Richard John, Nicholas Scurich

Beliefs About Quality Under Impending Regime Shifts.
Sreyaa Guha, Matthias Seifert, Canan Ulu

Full Rank Voting: The closest to voting with intensity of preferences
Luis G. Vargas, Marcel Minutolo

Exploring Ethnicity and Gender Discrimination in Judging Resume Fraud and Counterproductive Workplace Behavior
Zeev Shtudiner, Arthur Fishman

Applications in Business

On designing patient-centric distribution channels in pharmaceutical supply chains with multi-attribute value analysis and network optimization
Milena Janjevic, Gilberto Montibeller, Jarrod Goentzel

Modeling Misinformation Spread for Policy Evaluation: A Parsimonious Framework
Yiting Deng, Richard Staelin

Optimal Pricing Across Markets with Deal Seekers
Sanjith Gopalakrishnan, Rim Hariss

Computational Approaches

Decision tree analysis and data aggregation
Jeffrey Keisler

A CEO-BASED BEHAVIORAL FRAMEWORK PREDICTING ESG RISK: A MACHINE LEARNING APPROACH.
Martial Ndtoungou Pfouga

Decision Trees: Fitting Continuous Features without Preprocessing
Flávio Araújo Lim-Apo, Leonardo Bastos, Fabricio Oliveira, Silvio Hamacher

Risk-averse decision strategies for influence diagrams using rooted junction trees
Olli Herrala, Topias Terho, Fabricio Oliveira

Strategic Decision Making

Under what conditions? A scenario technique for exploring the prerequisites of future events
Tommi Ekholm, Theresa Schaber

Applications in Military and Security

Decision Analytics: Using Decision Analysis in Analytics Projects
Gregory Parnell, Eric Specking, Randy Buchanan

Protection Decisions for Node-to-Route Relationships in Multi-layer Networks
Nazanin Tajik, Kash Barker, Andres Gonzalez, Sridhar Radhakrishnan

Voting by mail: on managing the security risks of election systems
Carmen Haseltine, Laura Albert

AI and Inference

Exploring XAI-driven Personalised Health Risk Communication and its Effect on Healthy Behaviour Intention
Md Rifayat Islam [PRESENTER 1], K.Nadia Papamichail [PRESENTER 2], Marzena Nieroda, Kenneth Muir, Artitaya Lophatananon

Predicting Consumer Shopping Locations using integrated Markov Chains and Long Short-Term Memory Networks
Ya-Lun Lee, Hung-Jui Wang, Ruby Lin, Ling-Jing Kao, Chih-Chou Chiu

Is there a hype bias? The perception of AI in demand planning
Anna Sroginis, Nikolaos Kourentzes, Tove Helldin

A Stage-Gate Decision Process for Guiding the Development of AI Solutions for Preventive Maintenance
Jussi Leppinen, Ahti Salo, Michele Compare

Behavioural Economics

Altruism and the Endowment Effect
Matthew Nagler, Ben Ho

Random Preference Model
Moha Ghaderi, Kamel Jedidi, Milosz Kadzinski

Reminder policy effectiveness with heterogeneous agents and scarce resources: the case of mobile data.
Nicolò Bertani, Joren Gijsbrechts, Miguel Godinho de Matos, Laura Wagner

Make it Stick: The Role of Alternative Activities in Reducing Habitual Smartphone Usage
Pham Quang Duc, Jeeva Somasundaram, Laura Zimmermann

Applications in Healthcare

Push or Pull? Motivating investment for rare disease drugs
Chenxi Xu, David Ridley, Peng Sun

Applications in Energy

Unit Commitment without Commitment: A Dynamic Framework for Managing an Integrated Energy System Under Uncertainty
David Brown, James Smith

A model for global cooperation on climate change: Dynamic Lindahl equilibrium under uncertainty
Markku Kallio, Iivo Vehviläinen, Hanna Virta

Technocracy in transition: enhancing stakeholder inclusion in Denmark’s energy planning
Antti Silvast, Per Dannemand Andersen

Condition-Based and Value-Difference Based Aggregation in Wind Power Permit Application Assessment
Ulla Ahonen-Jonnarth, Åsa Elmqvist, Magnus Hjelmblom

Confirmed Posters (more will be announced later)

Support a Capital-Constrained Supplier with Purchase Order Financing and Refundable/Non-refundable Cash in Advances
Andy Wu

Utilizing Deep Learning Models for Analyzing Consumer Store Preferences
Bing-Lun Su, Hung-Jui Wang, Ruby Lin, Ling-Jing Kao, Chih-Chou Chiu

Comparative approaches for economic modeling in healthcare markets , relevance of random price generators
Christine Huttin

Context-based Complex System Risk Identification and Inspection Decision Auto-generation
Nan Li, Chen Wang

Geo-agnostic, Open-sourced data pipeline to study spatiotemporal effects of climate variables on operational generation of renewable plants
Vijay Chiluveru, Renee Obringer

Automated Design of Indoor Positioning Systems using Floor Plan Images
Ahsan Muneer, Jyrki Savolainen, Esa Viljamaa

R&D innovation and decision-making strategy to advance science and technology
Donghun Yoon

Confirmed PhD Incubator Presentations (more will be announced later)

Advice Taking under Time Pressure
Erik Kommol, Christopher Lettl

Trusting the Algorithm: A Decision Under Ambiguity
Qiong XIA, Ahmed GUECIOUEUR, Enrico Diecidue

Predicting Tail Quantiles Through Aggregation of Medians: Model and Analysis
Long Zhao, Zhi Chen, Junnan Wang

Identifying Experts with Small Contributions in Forecast Aggregation
Xinyu Hou, Zhi Chen, Long Zhao

Regularized Aggregation of Point Predictions From Experts With Different Amounts of Past Performance Data
Junnan Wang, Ville Satopaa

Optimizing Investment Period Length and Strategies for Later Stage Venture Capital Staged Financing Portfolio
Guanrou Deng, Maurizio Fiaschetti

Optimal Experimentation for Learning Personalized Policies Across Locations
Georgina Hall, Stefanos Poulidis, Spyros Zoumpoulis

Neutral Pivoting: Strong Bias Correction for Shared Information
Joseph Rilling

A decision analysis model for colorectal cancer screening
Daniel Corrales, David Ríos Insua

Computing Stochastically Non-Dominated Solutions for Risk-Informed Maintenance Decisions in the Management of Transport Infrastructure Assets
Leevi Olander, Ahti Salo

Confirmation trees – creating hybrid intelligence when humans and algorithms disagree
Julian Berger, Frederik Andersen, Diana Verdes, Kristian P. Lorenzen, Pantelis P. Analytis, Ralf H.J.M. Kurvers

^{Photo Tuomas Uusheimo}