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All Episodes

The IDEMS Podcast — 268 episodes

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Title
1

276 – The Agency Fund’s Social Sector Tech Stack: The Front End

2

275 – The Agency Fund’s Social Sector Tech Stack: The Back End

3

274 – The Power of the AI Narrative

4

273 – The Future of Work Beyond AI Empires

5

272 – The Foundations of Community-Centred AI

6

268 – What Lies Behind AI as a Product?

7

267 – The Forces Shaping AI

8

266 – Building Better AI with Less

9

265 – Connectionist Versus Symbolist AI

10

264 – Earthkeepers versus AI Empires (Part 2)

11

263 – Earthkeepers versus AI Empires (Part 1)

12

262 – Rainfall Data and Quality Control

13

261 – Embedded Scaling in Farmer Research Networks

14

260 – Farmer Research Networks

15

259 – Climate Data Rescue and Accreditation: Building the ePICSA Summaries Database

16

258 – An AI Assistant for STACK

17

257 – Behind the Open App Builder

18

256 – The Parenting Programme Facilitator Apps

19

254 – Farmer Research Networks and the Future of Participatory AI

20

253 – Pan-African Community-Owned Digital Futures Workshop

21

252 – AIMS Rwanda 2026: Why Humans are Still Essential for Data Interpretation

22

247 – Scaling PBDM (Physiologically Based Demographic Modelling): Localising Climate and Pest Models in West Africa

23

246 – Organising The IDEMS Podcast

24

245 – Open GCSE Textbooks with PreTeXt

25

244 – Scaling Open Textbook Variants with PreTeXt and AI

26

243 – Individualism and Collaboration

27

242 – Reflections on Humanoid Robots

28

241 – Twenty Years of RMS for CRFS: Proxy Variables

29

240 – Integrating Deep Student Assessment into Open Statistics Textbooks

30

239 – Converting Open Statistics Textbooks for Software-Agnostic Learning

31

238 – Open Textbooks and Beyond

32

237 – Open Textbooks

33

236 – Is STACK Necessary in the Age of AI?

34

235 – An Update on The CBC Open Textbooks Project

35

234 – Data Collectors as a Source of Variability

36

233 – An analysis of ANOVA as a Descriptive Tool

37

232 – ANOVA and Degrees of Freedom

38

231 – Unexplained Variability

39

230 – Introduction to Sampling

40

229 – Reflections on the Joint Mathematics Meeting Part 2

41

228 – Reflections on the Joint Mathematics Meeting Part 1

42

227 – Managing vs Leading

43

226 – Is Diversity Always Good?

44

225 – Expanding on Personalised Education

45

224 – Turning Challenges into Opportunities

46

223 – Investigating Personalised Education

47

222 – The Five Interns of Christmas

48

221 – Ethical Investments:  Social Enterprise Impact Bonds

49

220 – RMS Workshop Reflections: Presenting Results

50

219 – Factors in Statistics

51

218 – SmileyCoin

52

217 – A Dive into PreTeXt

53

216 – The Five Quiz Framework for Electronic Assessment

54

215 – The History of Computer Assisted Statistics Textbooks

55

214 – Teaching Statistics from the Data Up

56

213 – STACK in Africa

57

212 – Personalised AI-Driven Textbooks

58

211 – Open vs Open Source

59

210 – Two Years of The IDEMS Podcast: The IDEMS Collaboratories and CommonTech

60

209 – Individual Initiative and Collective Responsibility

61

208 – The Significance of the Turing Test

62

207 – AI in Low Resource Environments

63

206 – Explore, Describe, Present: a Statistical Analysis Framework

64

205 – An Interview with Rikin Gandhi from Digital Green

65

204 – What does responsible AI really mean?

66

203 – Developing Pan-African Digital Maths Textbooks and its Challenges

67

202 – Building Custom AI Assistants

68

201 – Reflections on the World Statistics Congress

69

200 – Behind the Scenes of The IDEMS Podcast

70

199 – The Pan-African Convening on the Future of Biodigital Technologies in Food and Agriculture

71

198 – Introducing Michele Pancera

72

197 – From Exams to Experiences: How Gamification Could Transform Education

73

196 – Scalable AI Tools for Farmers

74

195 – When All You Have is a Hammer, Everything Looks Like a Nail

75

194 – Twenty years of RMS for CRFS: Next Steps

76

193 – Using Generative AI in IDEMS Work

77

192 – Twenty Years of RMS for CRFS: Crop Simulation Models

78

191 – Gamification of Education

79

190 – Twenty Years of RMS for CRFS: Multi-year trials

80

189 – How do people really live around the world?

81

188 – Twenty Years of RMS for CRFS: Designing Real-World Agricultural Experiments

82

187 – An Introduction to Presentation Graphs

83

186 – Twenty Years of RMS for CRFS: Measurements

84

185 – Enabling Access to STACK through PreTeXt

85

184 – Twenty Years of RMS for CRFS: Controls

86

183 – Using AI for Qualitative Analysis

87

182 – Twenty Years of RMS for CRFS: Levels of Variability

88

181 – Tricot Participatory Breeding Trials

89

180 – Twenty Years of RMS for CRFS: On-Farm Agricultural Trials

90

179 – Challenging the Dead Internet Theory

91

178 – Twenty Years of RMS for CRFS: On-Station Agricultural Trials

92

177 – Mathematical Modelling vs Statistical Modelling

93

176 – Twenty Years of RMS for CRFS: Multimethod Agricultural Research

94

175 – The PhD to IDEMS Postdoctoral Fellow Journey

95

174 – Twenty Years of RMS for CRFS: Introducing Roger

96

173 – Twenty years of RMS for CRFS

97

172 – Proxy Variables

98

171 – Building a Local Research Methods Support Team

99

170 – Marketing IDEMS: From R&D to Products

100

169 – Marketing IDEMS: The Website Redesign

101

168 – Collecting Data for Community Research

102

167 – “Moral Ambition” by Rutger Bregman

103

166 – Solarpunk and Positive Visions of the Future

104

165 – Systemic Change

105

164 – Further Reflections on the ICMS Workshop

106

163 – Rethinking Statistics Education

107

162 – The Origins of the Food Innovation Centres in West Africa

108

161 – Tool Agnosticism in Modern Education

109

160 – Developing Modelling Courses for the Maths Innovations MSc

110

159 – Innovative MSc Programme for Maths Teachers in Kenya, Part 4

111

158 – Innovative MSc Programme for Maths Teachers in Kenya, Part 3

112

157 – Innovative MSc Programme for Maths Teachers in Kenya, Part 2

113

156 – Innovative MSc Programme for Maths Teachers in Kenya, Part 1

114

155 – Agroecological Possibilities of Solar Panels

115

154 – Fuma Gaskyia and Human Urine Fertiliser

116

153 – Paving the Road for Biological Pest Control in Niger

117

152 – Types of Graphs

118

151 – Data Variability

119

150 – Building Impactful Teams in West Africa

120

149 – Battling Millet Head Miners in Niger

121

148 – Transforming Research through Community Collaboration

122

147 – Cultivating Change: Local Solutions for Nutrition

123

146 – Reflections on the CRFS Leadership Meeting 2025

124

145 – Problematising what it means to ‘help communities’

125

144 – Who can be activated for impact?

126

143 – The Impact Activation Book

127

142 – Reflections on Impact Activation Workshop at ICMS Edinburgh, Part 2

128

141 – Reflections on Impact Activation Workshop at ICMS Edinburgh, Part 1

129

140 – Electronic Maths Textbooks in Kenya

130

139 – Scaling the Maths Camps

131

138 – AI in International Development, Part 2

132

137 – AI in International Development, Part 1

133

136 – A Role of Technology in Education

134

135 – Resource Constraints and Technological Innovation

135

134 – Introducing Michael Obiero: Rethinking Maths Textbooks

136

133 – Schooling and Alternative Education Systems

137

132 – Paris AI Action Summit

138

131 – USAID Revisited

139

130 – Equality and Equity

140

129 – USAID

141

128 – Experiences of Using STACK for Data Skills

142

127 – Scalable Solutions vs Individual Impact in Education

143

126 – Mathematics in Africa: Stories of Success

144

125 – AI Summaries

145

124 – Communities and Development

146

123 – Unpacking the Question, “Why don’t we just give money?”

147

122 – Technology in Secondary Education

148

121 – Reflections on Research Methods Support (RMS) Workshops

149

120 – Reflections on Past and Future New Years

150

119 – The New Year’s Special

151

118 – Festive Special: Another Perspective on Giving

152

117 – Festive Special: Giving

153

116 – Collective Intelligence

154

115 – Research Methods Support Teams

155

114 – International Impact Award 2024

156

113 – Research Methods Workshops and Trainings

157

112 – Why don’t we just give money?

158

111 – Sustainability, Scalability, and Systemic Change: IDEMS’ Approach to Impacting Grand Challenges

159

110 – Further reflections on the FRN Convening

160

109 – Mathematical Scientists as Impact Activators

161

108 – James’ Journey of Innovative Statistics Education

162

107 – Where Do We Draw the Line on Transparency?

163

106 – Reflections on the FRN Convening

164

105 – Wicked Problems

165

104 – Misusing Data

166

103 – Collaborative Modelling

167

102 – Communities of Practice, Part 2

168

101 – Introducing Sue Johnson: Corporate Insights into Communicating the Value of Technology for Social Impact

169

100 – Episode 100

170

099 – Is AI Making Me Lazy?

171

098 – Institutional Change in Ghana: Abib’s Experiences and Observations

172

097 – The Agroecology Hub

173

096 – Data Literacy Continued

174

095 – How to Tell the IDEMS Story

175

094 – Is Data Maths?

176

093 – Communities of Practice, Part 1

177

092 – Data Literacy

178

091 – Introducing James Kaleli Musyoka: Climatic Data Science for Agriculture

179

090 – Introducing George Simmons: Mathematical Modelling in Agroecology

180

089 – Exploring Digital Parenting Innovations in Kuwait

181

088 – Technologies for Secondary School Education

182

087 – Chatbots and AI

183

086 – The R-Instat Calculation System

184

085 – A Service Mentality

185

084 – Community Tech

186

083 – Reflections on the Mentoring Scheme

187

082 – Innovations in Internships and Workshops

188

081 – The Second African STACK Conference

189

080 – Franca Hoffmann: Global Maths Education

190

079 – American Institute of Mathematics (AIM) Workshop in Kenya

191

078 – Open Research, Science and Data

192

077 – Looking to the Future of AI for Higher Education

193

076 – Data Systems for Low Digital Literacy

194

075 – Changing The Question 2

195

074 – Changing the Question

196

073 – AI in Education: Friend or Foe?

197

072 – Demystifying Data Science

198

071 – Introduction to R-Instat

199

070 – Games Without Advertising: A Potential New Business Model, Part 2

200

069 – Games Without Advertising: A Potential New Business Model, Part 1

201

068 – Do we know what we are doing?

202

067 – Multilevel Data

203

066 – Polly Noyce: Manor House

204

065 – Hallucitations

205

064 – Defining Simplicity: When Money Isn’t Enough

206

063 – Chris Sangwin: STACK

207

062 – Revolutions in Data Collection

208

061 – Simplicity vs Complexity

209

060 – Teaching Data Science

210

059 – Inception Meetings: IDEMS’ Pathways to Supporting Project Beginnings

211

058 – Farmer Research Networks

212

057 – Empowering Mathematics Educators with STACK

213

056 – Responsible Research and Modelling

214

055 – Scalability vs Sustainability in IDEMS Internships

215

054 – Beyond the Hype: The Reality of AI-Powered Shops

216

053 – Investment as a Service

217

052 – Maths Camps: Engaging Minds, Expanding Horizons

218

051 – Digital Jobs in Rural Environments

219

050 – The Role of Observation in Shaping IDEMS

220

049 – Artificial Words: The Unseen Bias of AI in Everyday Language

221

048 – An Approach to Language and Tolerance

222

047 – Kate Fleming: IDEMS’ Strategy

223

046 – Moustapha Moussa: Processing Food

224

045 – Bruce Hamaker: Processing Nutritional Foods in Low Resource Rural Environments

225

044 – An Interview with our Incoming Director, Kate Fleming

226

043 – The Journey to IDEMS Internships

227

042 – Navigating the Future: Work and Skills in an AI-Influenced World

228

041 – Scalable Impact Through Internships

229

040 – The STACK Internships

230

039 – How to Lie with Smoking Statistics

231

038 – What Does Development Look Like?

232

037 – Generating AI Images: Between Bias and Absurdity

233

036 – Response to “IDEMS’ Vision and Mission”

234

035 – Generating AI Images: Do AI implementations suppress diversity?

235

034 – IDEMS’ Vision and Mission in practice

236

033 – IDEMS’ Vision and Mission

237

032 – Impact Activation Postdoctoral Fellow

238

031 – Who wants to be a trillionaire?

239

030 – Cross Disciplinary Study Types

240

029 – AI Transforming Education

241

028 – AI Transforming Work

242

027 – Why doesn’t IDEMS simply focus?

243

026 – GUIDE-ing Principles vs SMART Goals

244

025 – AI and Consciousness

245

024 – The Privilege of Wealth

246

023 – Research and Academic Publications

247

022 – Evidence, Research and Society

248

021 – Where Things Have Gone Wrong with AI

249

020 – Research and Impact in Challenging Contexts

250

019 – Is Nepotism always harmful? Part 2

251

018 – Is Nepotism always harmful? Part 1

252

017 – Responsible AI: How Data Lies

253

016 – Responsible AI: Regulation

254

015 – New Year’s Resolutions

255

014 – IDEMS Blunders of the Year 2023

256

013 – Responsible AI: Festive Special

257

012 – Fundamentally Profitable

258

011 – Response to “Reluctant Entrepreneurs”

259

010 – Reluctant Entrepreneurs

260

009 – Demystifying AI

261

008 – The IDEMS Business Model

262

007 – IDEMS’ views on agriculture

263

006 – Bletchley Park AI Safety Summit

264

005 – IDEMS as a Community Interest Company

265

004 – Zach Mbasu and INNODEMS, The Follow-Up

266

003 – Interviews 01: Zach Mbasu and INNODEMS

267

002 – What is IDEMS?

268

001 – Maths Minds: Thinking Hard About Supporting a Collaborative Society