All Episodes
The IDEMS Podcast — 288 episodes
296 – Navier–Stokes and What AI Means for Mathematics
295 – Putting Climate Data Rescue into Practice
294 – Reflections on Climate Data Rescue
293 – The Problem of Zeros in Data
292 – Integrating STACK Assessment into Open Statistics Textbooks
291 – Understanding Multilevel Data Through Context
290 – Understanding Statistical Interactions Through Context
289 – The Story Behind Explore, Describe, Present
288 – Putting Our Open Textbook Vision to the Test – Lessons from the STACK Conference
287 – Putting Our Open Textbook Vision to the Test – Lessons from ICOTS
286 – Rethinking Mathematics Education in Kenya – An Interview with Mike Obiero
285 – ICOTS 3 – Building Communities Around Open Textbooks
284 – ICOTS 2 – Statistics Education in the Age of AI
283 – ICOTS 1 – The Statistics Education Community
282 – The Farm Hack Box and New Possibilities
281 – Rethinking Digital Sovereignty for Communities
280 – Open App Builder, PLH and AI agents
279 – AI agents and STACK Authoring
278 – Reflections from the Global Smart Farming Conference
277 – Reflections from the AI and Food Security Forum
276 – The Agency Fund’s Social Sector Tech Stack: The Front End
275 – The Agency Fund’s Social Sector Tech Stack: The Back End
274 – The Power of the AI Narrative
273 – The Future of Work Beyond AI Empires
272 – The Foundations of Community-Centred AI
268 – What Lies Behind AI as a Product?
267 – The Forces Shaping AI
266 – Building Better AI with Less
265 – Connectionist Versus Symbolist AI
264 – Earthkeepers versus AI Empires (Part 2)
263 – Earthkeepers versus AI Empires (Part 1)
262 – Rainfall Data and Quality Control
261 – Embedded Scaling in Farmer Research Networks
260 – Farmer Research Networks
259 – Climate Data Rescue and Accreditation: Building the ePICSA Summaries Database
258 – An AI Assistant for STACK
257 – Behind the Open App Builder
256 – The Parenting Programme Facilitator Apps
254 – Farmer Research Networks and the Future of Participatory AI
253 – Pan-African Community-Owned Digital Futures Workshop
252 – AIMS Rwanda 2026: Why Humans are Still Essential for Data Interpretation
247 – Scaling PBDM (Physiologically Based Demographic Modelling): Localising Climate and Pest Models in West Africa
246 – Organising The IDEMS Podcast
245 – Open GCSE Textbooks with PreTeXt
244 – Scaling Open Textbook Variants with PreTeXt and AI
243 – Individualism and Collaboration
242 – Reflections on Humanoid Robots
241 – Twenty Years of RMS for CRFS: Proxy Variables
240 – Integrating Deep Student Assessment into Open Statistics Textbooks
239 – Converting Open Statistics Textbooks for Software-Agnostic Learning
238 – Open Textbooks and Beyond
237 – Open Textbooks
236 – Is STACK Necessary in the Age of AI?
235 – An Update on The CBC Open Textbooks Project
234 – Data Collectors as a Source of Variability
233 – An analysis of ANOVA as a Descriptive Tool
232 – ANOVA and Degrees of Freedom
231 – Unexplained Variability
230 – Introduction to Sampling
229 – Reflections on the Joint Mathematics Meeting Part 2
228 – Reflections on the Joint Mathematics Meeting Part 1
227 – Managing vs Leading
226 – Is Diversity Always Good?
225 – Expanding on Personalised Education
224 – Turning Challenges into Opportunities
223 – Investigating Personalised Education
222 – The Five Interns of Christmas
221 – Ethical Investments: Social Enterprise Impact Bonds
220 – RMS Workshop Reflections: Presenting Results
219 – Factors in Statistics
218 – SmileyCoin
217 – A Dive into PreTeXt
216 – The Five Quiz Framework for Electronic Assessment
215 – The History of Computer Assisted Statistics Textbooks
214 – Teaching Statistics from the Data Up
213 – STACK in Africa
212 – Personalised AI-Driven Textbooks
211 – Open vs Open Source
210 – Two Years of The IDEMS Podcast: The IDEMS Collaboratories and CommonTech
209 – Individual Initiative and Collective Responsibility
208 – The Significance of the Turing Test
207 – AI in Low Resource Environments
206 – Explore, Describe, Present: a Statistical Analysis Framework
205 – An Interview with Rikin Gandhi from Digital Green
204 – What does responsible AI really mean?
203 – Developing Pan-African Digital Maths Textbooks and its Challenges
202 – Building Custom AI Assistants
201 – Reflections on the World Statistics Congress
200 – Behind the Scenes of The IDEMS Podcast
199 – The Pan-African Convening on the Future of Biodigital Technologies in Food and Agriculture
198 – Introducing Michele Pancera
197 – From Exams to Experiences: How Gamification Could Transform Education
196 – Scalable AI Tools for Farmers
195 – When All You Have is a Hammer, Everything Looks Like a Nail
194 – Twenty years of RMS for CRFS: Next Steps
193 – Using Generative AI in IDEMS Work
192 – Twenty Years of RMS for CRFS: Crop Simulation Models
191 – Gamification of Education
190 – Twenty Years of RMS for CRFS: Multi-year trials
189 – How do people really live around the world?
188 – Twenty Years of RMS for CRFS: Designing Real-World Agricultural Experiments
187 – An Introduction to Presentation Graphs
186 – Twenty Years of RMS for CRFS: Measurements
185 – Enabling Access to STACK through PreTeXt
184 – Twenty Years of RMS for CRFS: Controls
183 – Using AI for Qualitative Analysis
182 – Twenty Years of RMS for CRFS: Levels of Variability
181 – Tricot Participatory Breeding Trials
180 – Twenty Years of RMS for CRFS: On-Farm Agricultural Trials
179 – Challenging the Dead Internet Theory
178 – Twenty Years of RMS for CRFS: On-Station Agricultural Trials
177 – Mathematical Modelling vs Statistical Modelling
176 – Twenty Years of RMS for CRFS: Multimethod Agricultural Research
175 – The PhD to IDEMS Postdoctoral Fellow Journey
174 – Twenty Years of RMS for CRFS: Introducing Roger
173 – Twenty years of RMS for CRFS
172 – Proxy Variables
171 – Building a Local Research Methods Support Team
170 – Marketing IDEMS: From R&D to Products
169 – Marketing IDEMS: The Website Redesign
168 – Collecting Data for Community Research
167 – “Moral Ambition” by Rutger Bregman
166 – Solarpunk and Positive Visions of the Future
165 – Systemic Change
164 – Further Reflections on the ICMS Workshop
163 – Rethinking Statistics Education
162 – The Origins of the Food Innovation Centres in West Africa
161 – Tool Agnosticism in Modern Education
160 – Developing Modelling Courses for the Maths Innovations MSc
159 – Innovative MSc Programme for Maths Teachers in Kenya, Part 4
158 – Innovative MSc Programme for Maths Teachers in Kenya, Part 3
157 – Innovative MSc Programme for Maths Teachers in Kenya, Part 2
156 – Innovative MSc Programme for Maths Teachers in Kenya, Part 1
155 – Agroecological Possibilities of Solar Panels
154 – Fuma Gaskyia and Human Urine Fertiliser
153 – Paving the Road for Biological Pest Control in Niger
152 – Types of Graphs
151 – Data Variability
150 – Building Impactful Teams in West Africa
149 – Battling Millet Head Miners in Niger
148 – Transforming Research through Community Collaboration
147 – Cultivating Change: Local Solutions for Nutrition
146 – Reflections on the CRFS Leadership Meeting 2025
145 – Problematising what it means to ‘help communities’
144 – Who can be activated for impact?
143 – The Impact Activation Book
142 – Reflections on Impact Activation Workshop at ICMS Edinburgh, Part 2
141 – Reflections on Impact Activation Workshop at ICMS Edinburgh, Part 1
140 – Electronic Maths Textbooks in Kenya
139 – Scaling the Maths Camps
138 – AI in International Development, Part 2
137 – AI in International Development, Part 1
136 – A Role of Technology in Education
135 – Resource Constraints and Technological Innovation
134 – Introducing Michael Obiero: Rethinking Maths Textbooks
133 – Schooling and Alternative Education Systems
132 – Paris AI Action Summit
131 – USAID Revisited
130 – Equality and Equity
129 – USAID
128 – Experiences of Using STACK for Data Skills
127 – Scalable Solutions vs Individual Impact in Education
126 – Mathematics in Africa: Stories of Success
125 – AI Summaries
124 – Communities and Development
123 – Unpacking the Question, “Why don’t we just give money?”
122 – Technology in Secondary Education
121 – Reflections on Research Methods Support (RMS) Workshops
120 – Reflections on Past and Future New Years
119 – The New Year’s Special
118 – Festive Special: Another Perspective on Giving
117 – Festive Special: Giving
116 – Collective Intelligence
115 – Research Methods Support Teams
114 – International Impact Award 2024
113 – Research Methods Workshops and Trainings
112 – Why don’t we just give money?
111 – Sustainability, Scalability, and Systemic Change: IDEMS’ Approach to Impacting Grand Challenges
110 – Further reflections on the FRN Convening
109 – Mathematical Scientists as Impact Activators
108 – James’ Journey of Innovative Statistics Education
107 – Where Do We Draw the Line on Transparency?
106 – Reflections on the FRN Convening
105 – Wicked Problems
104 – Misusing Data
103 – Collaborative Modelling
102 – Communities of Practice, Part 2
101 – Introducing Sue Johnson: Corporate Insights into Communicating the Value of Technology for Social Impact
100 – Episode 100
099 – Is AI Making Me Lazy?
098 – Institutional Change in Ghana: Abib’s Experiences and Observations
097 – The Agroecology Hub
096 – Data Literacy Continued
095 – How to Tell the IDEMS Story
094 – Is Data Maths?
093 – Communities of Practice, Part 1
092 – Data Literacy
091 – Introducing James Kaleli Musyoka: Climatic Data Science for Agriculture
090 – Introducing George Simmons: Mathematical Modelling in Agroecology
089 – Exploring Digital Parenting Innovations in Kuwait
088 – Technologies for Secondary School Education
087 – Chatbots and AI
086 – The R-Instat Calculation System
085 – A Service Mentality
084 – Community Tech
083 – Reflections on the Mentoring Scheme
082 – Innovations in Internships and Workshops
081 – The Second African STACK Conference
080 – Franca Hoffmann: Global Maths Education
079 – American Institute of Mathematics (AIM) Workshop in Kenya
078 – Open Research, Science and Data
077 – Looking to the Future of AI for Higher Education
076 – Data Systems for Low Digital Literacy
075 – Changing The Question 2
074 – Changing the Question
073 – AI in Education: Friend or Foe?
072 – Demystifying Data Science
071 – Introduction to R-Instat
070 – Games Without Advertising: A Potential New Business Model, Part 2
069 – Games Without Advertising: A Potential New Business Model, Part 1
068 – Do we know what we are doing?
067 – Multilevel Data
066 – Polly Noyce: Manor House
065 – Hallucitations
064 – Defining Simplicity: When Money Isn’t Enough
063 – Chris Sangwin: STACK
062 – Revolutions in Data Collection
061 – Simplicity vs Complexity
060 – Teaching Data Science
059 – Inception Meetings: IDEMS’ Pathways to Supporting Project Beginnings
058 – Farmer Research Networks
057 – Empowering Mathematics Educators with STACK
056 – Responsible Research and Modelling
055 – Scalability vs Sustainability in IDEMS Internships
054 – Beyond the Hype: The Reality of AI-Powered Shops
053 – Investment as a Service
052 – Maths Camps: Engaging Minds, Expanding Horizons
051 – Digital Jobs in Rural Environments
050 – The Role of Observation in Shaping IDEMS
049 – Artificial Words: The Unseen Bias of AI in Everyday Language
048 – An Approach to Language and Tolerance
047 – Kate Fleming: IDEMS’ Strategy
046 – Moustapha Moussa: Processing Food
045 – Bruce Hamaker: Processing Nutritional Foods in Low Resource Rural Environments
044 – An Interview with our Incoming Director, Kate Fleming
043 – The Journey to IDEMS Internships
042 – Navigating the Future: Work and Skills in an AI-Influenced World
041 – Scalable Impact Through Internships
040 – The STACK Internships
039 – How to Lie with Smoking Statistics
038 – What Does Development Look Like?
037 – Generating AI Images: Between Bias and Absurdity
036 – Response to “IDEMS’ Vision and Mission”
035 – Generating AI Images: Do AI implementations suppress diversity?
034 – IDEMS’ Vision and Mission in practice
033 – IDEMS’ Vision and Mission
032 – Impact Activation Postdoctoral Fellow
031 – Who wants to be a trillionaire?
030 – Cross Disciplinary Study Types
029 – AI Transforming Education
028 – AI Transforming Work
027 – Why doesn’t IDEMS simply focus?
026 – GUIDE-ing Principles vs SMART Goals
025 – AI and Consciousness
024 – The Privilege of Wealth
023 – Research and Academic Publications
022 – Evidence, Research and Society
021 – Where Things Have Gone Wrong with AI
020 – Research and Impact in Challenging Contexts
019 – Is Nepotism always harmful? Part 2
018 – Is Nepotism always harmful? Part 1
017 – Responsible AI: How Data Lies
016 – Responsible AI: Regulation
015 – New Year’s Resolutions
014 – IDEMS Blunders of the Year 2023
013 – Responsible AI: Festive Special
012 – Fundamentally Profitable
011 – Response to “Reluctant Entrepreneurs”
010 – Reluctant Entrepreneurs
009 – Demystifying AI
008 – The IDEMS Business Model
007 – IDEMS’ views on agriculture
006 – Bletchley Park AI Safety Summit
005 – IDEMS as a Community Interest Company
004 – Zach Mbasu and INNODEMS, The Follow-Up
003 – Interviews 01: Zach Mbasu and INNODEMS
002 – What is IDEMS?
001 – Maths Minds: Thinking Hard About Supporting a Collaborative Society